{"updatedAt":"2026-10-19T02:15:46.036Z","count":1247,"projects":[{"slug":"hermes-agent","name":"Hermes Agent","repo":"NousResearch/hermes-agent","githubUrl":"https://github.com/NousResearch/hermes-agent","homepage":"https://hermes-agent.nousresearch.com/","pageUrl":"/repo/hermes-agent","category":"AI agents","tagline":"A personal AI assistant that remembers you, learns new skills over time and chats with you on your favourite apps.","whatItDoes":["Hermes Agent is an AI assistant you run yourself. You can talk to it in a terminal window or through messaging apps such as Telegram, Discord, Slack, WhatsApp and Signal.","Its makers say it has a built-in learning loop: it keeps notes about you, turns complex tasks it has done into reusable \"skills\", and can search its own past conversations. It can also run scheduled jobs, like a daily report, and hand pieces of work to helper agents.","You choose which AI model powers it, from many providers or your own server, and you can run it on a laptop, a cheap rented server or cloud services."],"whoFor":"People who want a self-hosted AI helper that keeps working in the background, and developers who like to tinker with agents.","useWithoutCoding":"With some setup","keywords":["personal assistant","telegram bot","memory","automation","self-hosted"],"rating":5,"tags":["Widely used"],"owner":{"name":"Nous Research","githubUrl":"https://github.com/NousResearch"},"license":"MIT","stars":254962,"contributors":4611,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:46:49Z","sources":[{"site":"Hacker News","title":"Migrate from OpenClaw","url":"https://news.ycombinator.com/item?id=48586005","date":"2026-06-18"},{"site":"Hacker News","title":"Hermes Desktop","url":"https://news.ycombinator.com/item?id=48373851","date":"2026-06-02"}],"checkedByPerson":true,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux","Phone","Server","Cloud"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Run the one-line installer for Linux, macOS or Windows given in the README.","Start Hermes and choose your AI provider and model with the setup wizard.","Optionally connect messaging apps like Telegram or Discord to chat with it there."],"officialDownload":null},{"slug":"transformers","name":"Transformers","repo":"huggingface/transformers","githubUrl":"https://github.com/huggingface/transformers","homepage":"https://huggingface.co/transformers","pageUrl":"/repo/transformers","category":"Developer building blocks","tagline":"The standard toolkit developers use to load and use open AI models.","whatItDoes":["Transformers, from Hugging Face, is a library: a toolbox that programmers use inside their own software. It gives one consistent way to download and use thousands of open AI models for text, images, audio and more.","If you've used an app that runs an open model, there's a good chance Transformers was involved somewhere along the way.","You won't use it directly unless you write code, but it's one of the foundations of the open AI ecosystem."],"whoFor":"Developers, data scientists and researchers.","useWithoutCoding":"Developers only","keywords":[],"rating":5,"tags":["Widely used"],"owner":{"name":"Hugging Face","githubUrl":"https://github.com/huggingface"},"license":"Apache-2.0","stars":167824,"contributors":4175,"monthlyDownloads":96323619,"lastPushedAt":"2026-10-19T00:33:30Z","sources":[{"site":"Hacker News","title":"HuggingFace releases support for tool-use and RAG models","url":"https://news.ycombinator.com/item?id=40861822","date":"2024-07-03"},{"site":"Hacker News","title":"Transformers 2.0: Deep interoperability between TensorFlow 2.0 and PyTorch","url":"https://news.ycombinator.com/item?id=21092596","date":"2019-09-27"}],"checkedByPerson":true,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"langchain","name":"LangChain","repo":"langchain-ai/langchain","githubUrl":"https://github.com/langchain-ai/langchain","homepage":"https://docs.langchain.com/langchain/","pageUrl":"/repo/langchain","category":"Developer building blocks","tagline":"A toolkit for building AI apps and agents that can use tools and your own data.","whatItDoes":["LangChain helps developers build applications around AI models, for example a chatbot that answers questions from a company's documents, or an assistant that can search the web and use other tools.","It provides ready-made pieces for connecting AI models to data sources, other software and each other, so developers don't start from scratch.","It was one of the first popular frameworks of the current AI wave and remains one of the most widely downloaded."],"whoFor":"Developers building AI-powered products.","useWithoutCoding":"Developers only","keywords":[],"rating":5,"tags":["Widely used"],"owner":{"name":"LangChain","githubUrl":"https://github.com/langchain-ai"},"license":"MIT","stars":148043,"contributors":3745,"monthlyDownloads":170457766,"lastPushedAt":"2026-10-18T23:18:20Z","sources":[{"site":"Hacker News","title":"New: LangChain templates – fastest way to build a production-ready LLM app","url":"https://news.ycombinator.com/item?id=38096958","date":"2023-11-01"}],"checkedByPerson":true,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"openclaw","name":"OpenClaw","repo":"openclaw/openclaw","githubUrl":"https://github.com/openclaw/openclaw","homepage":"https://openclaw.ai/","pageUrl":"/repo/openclaw","category":"AI agents","tagline":"A personal AI assistant that runs on your own computer and talks to you in WhatsApp, Telegram, Slack and more.","whatItDoes":["OpenClaw is a personal AI assistant you run on your own computer. Instead of opening a separate app, you talk to it in the messaging apps you already use, such as WhatsApp, Telegram, Slack, Discord or iMessage. There are also companion apps for Mac, iPhone, Android, Windows and Linux.","You connect it to an AI model of your choice, either a hosted one like Claude or a model running on your own machine. Tools, skills and plug-ins let the assistant do things, not just answer questions. Its makers say your settings, memory and logins stay on your own hardware.","Because it can run tools on your computer, the README asks people to treat incoming messages as untrusted and to read its security and sandboxing guides before letting other people use it."],"whoFor":"People who want a private, always-available AI assistant in their everyday chat apps, and teams who want a shared one.","useWithoutCoding":"With some setup","keywords":["personal assistant","whatsapp","telegram","private","chat bot"],"rating":4.5,"tags":["Widely used","Fast-rising"],"owner":{"name":"openclaw","githubUrl":"https://github.com/openclaw"},"license":"MIT","stars":392404,"contributors":3621,"monthlyDownloads":14961588,"lastPushedAt":"2026-10-19T01:48:54Z","sources":[{"site":"Hacker News","title":"OpenClaw – Moltbot Renamed Again","url":"https://news.ycombinator.com/item?id=46820783","date":"2026-01-30"},{"site":"Hacker News","title":"Anthropic says OpenClaw-style Claude CLI usage is allowed again","url":"https://news.ycombinator.com/item?id=47844269","date":"2026-04-21"}],"checkedByPerson":true,"cost":"Free","runsOn":["Mac","Windows","Linux","Phone"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Run the OpenClaw installer for Mac, Linux or Windows.","Complete the setup wizard, which checks access to your chosen AI model.","Open the control panel, send a test message, then connect a chat app like WhatsApp."],"officialDownload":"https://docs.openclaw.ai/install"},{"slug":"pytorch","name":"PyTorch","repo":"pytorch/pytorch","githubUrl":"https://github.com/pytorch/pytorch","homepage":"https://pytorch.org/","pageUrl":"/repo/pytorch","category":"Developer building blocks","tagline":"A popular toolkit researchers and programmers use to build and train AI models in Python.","whatItDoes":["PyTorch is a Python library for building neural networks, the layered math systems behind most modern AI. It handles the heavy number-crunching and can use graphics cards (GPUs) to make it much faster.","Its makers say it is designed to feel natural to Python users and to let researchers change how a model behaves on the fly, which makes experimenting easier.","It is mainly used as a research platform for deep learning and as a faster, GPU-powered alternative to everyday math libraries."],"whoFor":"AI researchers, students and programmers who build or train their own models.","useWithoutCoding":"Developers only","keywords":["deep learning","neural network","python","machine learning"],"rating":4.5,"tags":[],"owner":{"name":"pytorch","githubUrl":"https://github.com/pytorch"},"license":"NOASSERTION","stars":104846,"contributors":7194,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:41:15Z","sources":[{"site":"Hacker News","title":"PyTorch 1.0 is out","url":"https://news.ycombinator.com/item?id=18630721","date":"2018-12-07"},{"site":"Hacker News","title":"PyTorch 1.8, with AMD ROCm support","url":"https://news.ycombinator.com/item?id=26353184","date":"2021-03-05"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Windows","Mac"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":"https://pytorch.org/get-started/locally/"},{"slug":"llama-cpp","name":"llama.cpp","repo":"ggml-org/llama.cpp","githubUrl":"https://github.com/ggml-org/llama.cpp","homepage":"https://llama.app/","pageUrl":"/repo/llama-cpp","category":"Run AI on your computer","tagline":"The fast engine that makes it possible to run AI models on ordinary computers and phones.","whatItDoes":["llama.cpp is the engine that made running large AI models on everyday hardware practical. It squeezes models down so they fit in normal computer memory and run quickly, even without an expensive graphics card.","Many popular local-AI apps are built on top of it. It also comes with its own simple chat page you can open in a web browser.","In early 2026 the team behind it joined Hugging Face, the largest home for open AI models, to support the project long-term."],"whoFor":"Tinkerers and developers who want the most control and speed when running AI on their own hardware.","useWithoutCoding":"With some setup","keywords":[],"rating":4.5,"tags":[],"owner":{"name":"ggml","githubUrl":"https://github.com/ggml-org"},"license":"MIT","stars":131639,"contributors":2134,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:09:46Z","sources":[{"site":"Hacker News","title":"Ggml.ai joins Hugging Face to ensure the long-term progress of Local AI","url":"https://news.ycombinator.com/item?id=47088037","date":"2026-02-20"},{"site":"Hacker News","title":"Vision Now Available in Llama.cpp","url":"https://news.ycombinator.com/item?id=43943047","date":"2025-05-10"}],"checkedByPerson":true,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install it by following the instructions on the project's website, or download a ready-made version from the releases page.","Download a model from Hugging Face and chat with it in the terminal or the built-in web page."],"officialDownload":"https://llama.app/"},{"slug":"prompts-chat","name":"prompts.chat","repo":"f/prompts.chat","githubUrl":"https://github.com/f/prompts.chat","homepage":"https://prompts.chat/","pageUrl":"/repo/prompts-chat","category":"Learning resources","tagline":"A free, community-built library of ready-made prompts to use with ChatGPT, Claude, Gemini and other AI chats.","whatItDoes":["A \"prompt\" is the instruction you type into an AI chat. prompts.chat is a large shared collection of them that you can browse on its website, copy, and paste into the AI assistant you already use. It was formerly called Awesome ChatGPT Prompts.","It also offers a free interactive guide to writing better prompts and a game-based course for children aged 8 to 14. Organisations can run their own private copy of the library."],"whoFor":"Anyone who wants better results from AI chat assistants, and teams who want a shared prompt library.","useWithoutCoding":"Yes","keywords":["prompts","chatgpt prompts","prompt ideas","prompt writing"],"rating":4.5,"tags":["Widely used"],"owner":{"name":"Fatih Kadir Akın","githubUrl":"https://github.com/f"},"license":"NOASSERTION","stars":173416,"contributors":1438,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T03:17:54Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Browse the prompt library on the prompts.chat website.","Copy a prompt and paste it into ChatGPT, Claude, Gemini or another AI chat.","Children can try the game-based prompting adventure for kids."],"officialDownload":null},{"slug":"tensorflow","name":"TensorFlow","repo":"tensorflow/tensorflow","githubUrl":"https://github.com/tensorflow/tensorflow","homepage":"https://tensorflow.org/","pageUrl":"/repo/tensorflow","category":"Developer building blocks","tagline":"A free toolkit programmers use to build, train and run machine-learning models.","whatItDoes":["TensorFlow is a platform for machine learning, the branch of AI where computers learn patterns from examples instead of following hand-written rules. It gives programmers the tools to build AI models, teach them with data, and put them to work inside apps.","It was first built by researchers at Google Brain. Programmers mainly use it from Python or C++, and it can use a graphics card (GPU) to speed up the heavy math involved.","Its makers describe it as a whole ecosystem, with tutorials, ready-made models and extra libraries alongside the core software."],"whoFor":"Programmers, data scientists and researchers who build or study AI models.","useWithoutCoding":"Developers only","keywords":["machine learning","deep learning","neural network","google"],"rating":4.5,"tags":["Widely used"],"owner":{"name":"tensorflow","githubUrl":"https://github.com/tensorflow"},"license":"Apache-2.0","stars":201098,"contributors":5392,"monthlyDownloads":11902358,"lastPushedAt":"2026-10-19T01:47:59Z","sources":[{"site":"Hacker News","title":"Tensorflow 2.0","url":"https://news.ycombinator.com/item?id=21118018","date":"2019-09-30"},{"site":"Hacker News","title":"Tensorflow v1.2 released","url":"https://news.ycombinator.com/item?id=14576912","date":"2017-06-17"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Mac","Windows"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":"https://www.tensorflow.org/install"},{"slug":"dify","name":"Dify","repo":"langgenius/dify","githubUrl":"https://github.com/langgenius/dify","homepage":"https://dify.ai/","pageUrl":"/repo/dify","category":"App builders & workflows","tagline":"Build AI chatbots, assistants and automated workflows on a visual canvas, then run them yourself or in the cloud.","whatItDoes":["Dify is a platform for building apps powered by AI language models. You drag and connect steps on a visual canvas to create a workflow, such as a chatbot that answers from your company documents or an assistant that completes tasks with online tools.","It works with hundreds of AI models from many providers, as well as models you host yourself. It can read PDFs, slide decks and other documents so your app can answer questions about them (a method called RAG, short for retrieval-augmented generation). It also includes \"agents\" that can run commands and use tools to finish open-ended tasks.","Dify keeps logs so you can see how your app performs over time, and every app comes with an API (a doorway that lets other programs use it). You can use the hosted Dify Cloud or install it on your own server."],"whoFor":"Teams and individuals who want to build AI apps and automations with little or no code.","useWithoutCoding":"With some setup","keywords":["chatbot builder","no-code","workflow","automation","ai app"],"rating":4.5,"tags":["Widely used"],"owner":{"name":"LangGenius","githubUrl":"https://github.com/langgenius"},"license":"NOASSERTION","stars":158820,"contributors":1563,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:47:55Z","sources":[{"site":"Hacker News","title":"Dify, a visual workflow to build/test LLM applications","url":"https://news.ycombinator.com/item?id=40121318","date":"2024-04-22"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Try the hosted Dify Cloud without managing a server, or host it yourself.","To self-host, install Docker and start Dify with Docker Compose.","Open the Dify dashboard in your browser to finish setting it up."],"officialDownload":"https://docs.dify.ai/getting-started/install-self-hosted"},{"slug":"awesome-mcp-servers","name":"Awesome MCP Servers","repo":"punkpeye/awesome-mcp-servers","githubUrl":"https://github.com/punkpeye/awesome-mcp-servers","homepage":"https://glama.ai/mcp/servers","pageUrl":"/repo/awesome-mcp-servers","category":"Learning resources","tagline":"A big, sorted list of add-ons that let AI assistants connect to apps, files and online services.","whatItDoes":["MCP (Model Context Protocol) is an open standard that lets AI assistants plug into other tools, such as your files, a web browser, a database or an online service. Each connector is called an MCP server.","This page is a community-curated list of these servers, grouped into dozens of topics such as browser automation, databases, finance, home automation, research and translation. Small symbols show which programming language each one uses, whether it runs on your computer or in the cloud, and which operating systems it supports.","It also points to tutorials, a community forum and a web directory that mirrors the list."],"whoFor":"Anyone exploring what AI assistants like Claude can connect to, and developers looking for a ready-made connector.","useWithoutCoding":"Yes","keywords":["mcp","ai connectors","plugins","claude tools","directory"],"rating":4.5,"tags":[],"owner":{"name":"Frank Fiegel","githubUrl":"https://github.com/punkpeye"},"license":"MIT","stars":96574,"contributors":4465,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T02:37:56Z","sources":[{"site":"Hacker News","title":"OpenAI is good at unminifying code","url":"https://news.ycombinator.com/item?id=41389185","date":"2024-08-29"},{"site":"Hacker News","title":"Prompt Injecting Contributing.md","url":"https://news.ycombinator.com/item?id=47441499","date":"2026-03-19"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Browse the list by category to find an add-on for an app or service you use.","Follow that add-on's own instructions to connect it to your AI assistant."],"officialDownload":null},{"slug":"scikit-learn","name":"scikit-learn","repo":"scikit-learn/scikit-learn","githubUrl":"https://github.com/scikit-learn/scikit-learn","homepage":"https://scikit-learn.org/","pageUrl":"/repo/scikit-learn","category":"Data science tools","tagline":"A widely used Python toolkit for teaching computers to spot patterns and make predictions from data.","whatItDoes":["scikit-learn is a code library for machine learning, the branch of AI where computers learn patterns from examples instead of following fixed rules. It covers everyday tasks such as sorting items into groups, predicting numbers and finding unusual data.","It has been developed since 2007 by a community of volunteers, with support from several organisations. Many data science courses and projects use it.","It is meant to be used from Python code, often alongside other data tools."],"whoFor":"Data scientists, students, researchers and programmers working with data.","useWithoutCoding":"Developers only","keywords":["machine learning","data science","python","prediction","statistics"],"rating":4.5,"tags":["Widely used"],"owner":{"name":"scikit-learn","githubUrl":"https://github.com/scikit-learn"},"license":"BSD-3-Clause","stars":67749,"contributors":3572,"monthlyDownloads":184326320,"lastPushedAt":"2026-10-18T16:03:44Z","sources":[{"site":"Hacker News","title":"Boston housing price dataset was removed from scikit-learn 1.2","url":"https://news.ycombinator.com/item?id=34189684","date":"2022-12-30"},{"site":"Hacker News","title":"Barnes-Hut implementation of t-SNE – pull request in Scikit-Learn","url":"https://news.ycombinator.com/item?id=8808819","date":"2014-12-29"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"opencv","name":"OpenCV","repo":"opencv/opencv","githubUrl":"https://github.com/opencv/opencv","homepage":"https://opencv.org/","pageUrl":"/repo/opencv","category":"Developer building blocks","tagline":"A widely used free code library that lets software see and understand images and video.","whatItDoes":["OpenCV, short for Open Source Computer Vision Library, is a toolkit programmers use to give software the ability to work with pictures and video. \"Computer vision\" means getting computers to make sense of what's in an image.","The project offers documentation, courses and a community forum through its website. Many other apps and AI projects use it behind the scenes."],"whoFor":"Programmers, researchers and students working with images, cameras or video.","useWithoutCoding":"Developers only","keywords":["computer vision","image processing","camera","video analysis"],"rating":4.5,"tags":[],"owner":{"name":"OpenCV","githubUrl":"https://github.com/opencv"},"license":"Apache-2.0","stars":91223,"contributors":2600,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T18:08:45Z","sources":[{"site":"Hacker News","title":"OpenCut: The open-source CapCut alternative","url":"https://news.ycombinator.com/item?id=44553752","date":"2025-07-13"},{"site":"Hacker News","title":"Opencloud – An alternative to Nextcloud written in Go","url":"https://news.ycombinator.com/item?id=45857988","date":"2025-11-08"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"n8n","name":"n8n","repo":"n8n-io/n8n","githubUrl":"https://github.com/n8n-io/n8n","homepage":"https://n8n.io/","pageUrl":"/repo/n8n","category":"App builders & workflows","tagline":"Build automations and AI agents by connecting apps on a visual canvas, with code when you need it.","whatItDoes":["n8n is a tool for automating work. You build a \"workflow\" by linking boxes on a screen: for example, when a form is filled in, ask an AI to sort it, then post the result to a chat app.","It can use AI models from OpenAI, Anthropic, Google or open-source providers, and its makers say you can switch between them without rebuilding. It connects to a large number of other apps and offers ready-made workflow templates.","You can run it on your own computer or server, or use the makers' hosted cloud version. People who code can add JavaScript or Python steps for more control."],"whoFor":"Office teams, small businesses and developers who want to automate repetitive tasks or build AI assistants that use their existing tools.","useWithoutCoding":"With some setup","keywords":["automation","zapier alternative","workflows","no-code","ai agents"],"rating":4.5,"tags":["Widely used"],"owner":{"name":"n8n - Workflow Automation","githubUrl":"https://github.com/n8n-io"},"license":"NOASSERTION","stars":207936,"contributors":829,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:49:41Z","sources":[{"site":"Hacker News","title":"N8n is not open source and your project is gaslighting its users","url":"https://news.ycombinator.com/item?id=32797853","date":"2022-09-11"},{"site":"Hacker News","title":"Show HN: Self-Hosted AI Starter Kit","url":"https://news.ycombinator.com/item?id=41313223","date":"2024-08-21"}],"checkedByPerson":true,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Docker on your computer or server.","Start n8n with its install script or Docker, then open the editor in your browser.","Or use the hosted n8n cloud version instead of running it yourself."],"officialDownload":null},{"slug":"autogpt","name":"AutoGPT","repo":"Significant-Gravitas/AutoGPT","githubUrl":"https://github.com/Significant-Gravitas/AutoGPT","homepage":"https://agpt.co/","pageUrl":"/repo/autogpt","category":"AI agents","tagline":"Build AI helpers that carry out whole tasks for you, on demand, on a schedule or when something happens.","whatItDoes":["AutoGPT is a platform for building AI agents, programs that do a job from start to finish instead of just answering a question. You can describe the outcome you want in plain English, or build each step yourself in a visual editor by dragging and connecting blocks.","Agents can run when you ask, on a schedule, or in response to a trigger. They can connect to everyday apps such as Gmail, Google Calendar, Google Sheets, Slack, Notion and GitHub. Its makers give examples like preparing a daily briefing, researching sales accounts or drafting customer-support replies.","There is a paid hosted version that needs no setup, and a free self-hosted version where you supply your own computer resources and AI model accounts. The original standalone AutoGPT agent is still available as \"AutoGPT Classic\"."],"whoFor":"Teams and individuals who want to automate repeated work with AI, and developers who want to build and run their own agents.","useWithoutCoding":"With some setup","keywords":["automation","ai agent","workflow","assistant","no-code"],"rating":4.5,"tags":["Widely used"],"owner":{"name":"AutoGPT","githubUrl":"https://github.com/Significant-Gravitas"},"license":"NOASSERTION","stars":187644,"contributors":864,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:38:34Z","sources":[{"site":"Hacker News","title":"Auto-GPT: An experimental open-source attempt to make GPT-4 fully autonomous","url":"https://news.ycombinator.com/item?id=35631328","date":"2023-04-19"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Cloud","Linux","Mac","Windows"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Sign up for the hosted AutoGPT Platform, a paid service that needs no setup.","Describe the job in plain English and AutoGPT builds and runs an agent for it."],"officialDownload":null},{"slug":"ollama","name":"Ollama","repo":"ollama/ollama","githubUrl":"https://github.com/ollama/ollama","homepage":"https://ollama.com/","pageUrl":"/repo/ollama","category":"Run AI on your computer","tagline":"Download and run AI chat models on your own computer, without sending your data to the cloud.","whatItDoes":["Ollama lets you run AI language models, the kind of technology behind ChatGPT, directly on your own laptop or desktop. You pick a model from its library, it downloads it, and you can start chatting with it.","Because the model runs on your machine, your conversations don't leave your computer, and it keeps working without an internet connection once a model is downloaded.","Many other apps use Ollama behind the scenes as their engine, so installing it often unlocks a whole range of other private AI tools."],"whoFor":"Anyone curious about private, offline AI, and developers who want a simple way to add local AI to their apps.","useWithoutCoding":"With some setup","keywords":["offline","private","chatgpt alternative"],"rating":4.5,"tags":["Widely used"],"owner":{"name":"Ollama","githubUrl":"https://github.com/ollama"},"license":"MIT","stars":183751,"contributors":627,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T18:44:30Z","sources":[{"site":"Hacker News","title":"Ollama v0.1.33 with Llama 3, Phi 3, and Qwen 110B","url":"https://news.ycombinator.com/item?id=40191723","date":"2024-04-28"}],"checkedByPerson":true,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the Ollama installer for Mac or Windows from the project's website, or use its Linux install script.","Open Ollama and choose a model to download and chat with."],"officialDownload":"https://ollama.com/"},{"slug":"ecc","name":"ECC","repo":"affaan-m/ECC","githubUrl":"https://github.com/affaan-m/ECC","homepage":"https://ecc.tools/","pageUrl":"/repo/ecc","category":"Add-ons for AI coding tools","tagline":"Gives an AI coding assistant a ready-made routine for planning, testing, reviewing and remembering its work.","whatItDoes":["ECC is a large add-on pack for AI coding assistants such as Claude Code. Its makers describe it as a system that makes the assistant plan before it builds, check its changes with tests, review its own work and remember what it learned.","It bundles many specialised helper agents, \"skills\" (reusable instructions the assistant can follow), commands, rules and a security scanner that checks the assistant's settings and files. You install it once instead of repeating the same instructions in every chat.","It works best with Claude Code, and its makers list more limited support for other tools such as Codex, Cursor, OpenCode and Gemini. The project is free and open source; a paid hosted version is offered for private code."],"whoFor":"Programmers who already use an AI coding assistant and want it to work in a more careful, structured way.","useWithoutCoding":"With some setup","keywords":["claude code","coding assistant","ai skills","workflow","code review"],"rating":4.5,"tags":["Fast-rising"],"owner":{"name":"Affaan Mustafa","githubUrl":"https://github.com/affaan-m"},"license":"MIT","stars":283316,"contributors":449,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T19:17:01Z","sources":[],"checkedByPerson":true,"cost":"Free, with optional paid extras","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Install Node.js, Git and Claude Code on your computer.","Run ECC's guided setup to add it to Claude Code.","Keep working with your coding assistant, which now plans, tests and reviews its work."],"officialDownload":null},{"slug":"apache-airflow","name":"Apache Airflow","repo":"apache/airflow","githubUrl":"https://github.com/apache/airflow","homepage":"https://airflow.apache.org/","pageUrl":"/repo/apache-airflow","category":"Running AI at scale","tagline":"Schedules and monitors chains of automated tasks, such as data processing and AI model training jobs.","whatItDoes":["Airflow is a platform for building workflows: sets of tasks that must run in a certain order, on a schedule. People write these workflows as code, and Airflow runs each step, waits for the ones it depends on, and shows progress in a web dashboard.","It is often used to move and process data. Its makers say it is also widely used to run machine learning jobs, such as training, retraining and testing models, and increasingly to coordinate the steps of AI pipelines."],"whoFor":"Data engineers and teams who run regular data or AI jobs.","useWithoutCoding":"Developers only","keywords":["workflow automation","scheduling","data pipelines","machine learning jobs"],"rating":4.5,"tags":[],"owner":{"name":"The Apache Software Foundation","githubUrl":"https://github.com/apache"},"license":"Apache-2.0","stars":47210,"contributors":4727,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T21:51:48Z","sources":[{"site":"Hacker News","title":"Airflow 2.0","url":"https://news.ycombinator.com/item?id=25457876","date":"2020-12-17"},{"site":"Hacker News","title":"Apache Airflow 3.0 Release","url":"https://news.ycombinator.com/item?id=43763691","date":"2025-04-22"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Mac","Server"],"hardware":"Made for servers or data centres","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"litellm","name":"LiteLLM","repo":"BerriAI/litellm","githubUrl":"https://github.com/BerriAI/litellm","homepage":"https://docs.litellm.ai/docs/","pageUrl":"/repo/litellm","category":"Running AI at scale","tagline":"Lets programs talk to over 100 AI model providers in one common way, with cost tracking built in.","whatItDoes":["Different AI providers, like OpenAI, Anthropic, Google and Amazon, each have their own way for programs to connect. LiteLLM gives developers one shared way to call all of them, using the same format as OpenAI's API (an API is a doorway that lets programs talk to each other).","It can be used as a code library or run as a \"gateway\", a central service that a whole team or company sends its AI requests through. The gateway adds spending tracking, access keys, safety checks, load balancing across providers, logging and an admin dashboard.","This makes it easier to switch providers without rewriting code, and to see and control how much AI use costs across an organisation."],"whoFor":"Developers and IT teams that use several AI providers and want one place to manage access and spending.","useWithoutCoding":"Developers only","keywords":["ai gateway","multiple ai models","api","cost tracking","openai compatible"],"rating":4.5,"tags":[],"owner":{"name":"Berri AI","githubUrl":"https://github.com/BerriAI"},"license":"NOASSERTION","stars":61511,"contributors":1831,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:47:46Z","sources":[{"site":"Hacker News","title":"Tell HN: Litellm 1.82.7 and 1.82.8 on PyPI are compromised","url":"https://news.ycombinator.com/item?id=47501426","date":"2026-03-24"},{"site":"Hacker News","title":"Show HN: liteLLM Proxy Server: 50+ LLM Models, Error Handling, Caching","url":"https://news.ycombinator.com/item?id=37095542","date":"2023-08-12"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"llamaindex","name":"LlamaIndex","repo":"run-llama/llama_index","githubUrl":"https://github.com/run-llama/llama_index","homepage":"https://developers.llamaindex.ai/","pageUrl":"/repo/llamaindex","category":"Developer building blocks","tagline":"A toolkit programmers use to build AI apps that read and answer questions about documents.","whatItDoes":["LlamaIndex is an open-source framework for building AI apps and agents, especially ones that work with your own documents and data. It connects to hundreds of AI models, databases and other services through add-on packages.","The company behind it says its main focus is now LlamaParse, a separate paid platform for reading complex documents. The open framework remains available."],"whoFor":"Python developers building AI apps that use their own data.","useWithoutCoding":"Developers only","keywords":["rag","documents","ai framework","python","chat with data"],"rating":4.5,"tags":[],"owner":{"name":"LlamaIndex","githubUrl":"https://github.com/run-llama"},"license":"MIT","stars":52555,"contributors":2007,"monthlyDownloads":null,"lastPushedAt":"2026-10-14T15:29:28Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"ragflow","name":"RAGFlow","repo":"infiniflow/ragflow","githubUrl":"https://github.com/infiniflow/ragflow","homepage":"https://ragflow.io/","pageUrl":"/repo/ragflow","category":"Documents & knowledge","tagline":"Lets AI answer questions from your own documents, with citations pointing back to the sources.","whatItDoes":["RAGFlow is a RAG engine. RAG, short for retrieval-augmented generation, means the AI first looks up relevant passages in your files and then answers using them, rather than relying only on what it memorised.","It reads many kinds of files, including Word, PowerPoint, Excel, PDFs, scanned copies, images and web pages. It shows how documents were split up so people can check and adjust it, and gives answers with traceable citations. Newer features can turn documents into wikis, mind maps and timelines.","It can be tried through its makers' cloud service or run on your own server with Docker."],"whoFor":"Teams and businesses that want a private question-answering system over their documents.","useWithoutCoding":"With some setup","keywords":["chat with documents","knowledge base","pdf","search my files","citations"],"rating":4.5,"tags":[],"owner":{"name":"InfiniFlow","githubUrl":"https://github.com/infiniflow"},"license":"Apache-2.0","stars":92429,"contributors":880,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T13:11:26Z","sources":[{"site":"Hacker News","title":"RAGFlow is an open-source RAG engine based on OCR and document parsing","url":"https://news.ycombinator.com/item?id=39896923","date":"2024-04-01"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Server","Linux","Cloud"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Try the hosted cloud version, or install Docker and start RAGFlow on your own server.","Open RAGFlow in your web browser and sign in.","Add an AI model provider and its API key on the model provider page."],"officialDownload":null},{"slug":"omniroute","name":"OmniRoute","repo":"diegosouzapw/OmniRoute","githubUrl":"https://github.com/diegosouzapw/OmniRoute","homepage":"https://omniroute.online/","pageUrl":"/repo/omniroute","category":"Running AI at scale","tagline":"One doorway to hundreds of AI providers, which can make the most of their free allowances.","whatItDoes":["OmniRoute is a gateway: your apps and AI coding tools talk to it, and it passes each request on to one of many AI providers, switching to another if one is busy or has run out.","It keeps a catalogue of the free allowances that AI providers offer and can spread your use across them. You bring your own accounts: you sign up with each provider yourself, and each provider's own limits and terms apply.","It also has a dashboard showing how much of each allowance is left, and it works with popular AI coding tools."],"whoFor":"Developers and heavy AI users who use several AI providers and want one place to manage them.","useWithoutCoding":"With some setup","keywords":["ai gateway","free tiers","model routing","api proxy","coding tools"],"rating":4,"tags":["Fast-rising","New this week"],"owner":{"name":"Diego Rodrigues de Sa e Souza","githubUrl":"https://github.com/diegosouzapw"},"license":"MIT","stars":78161,"contributors":852,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:41:57Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"vllm","name":"vLLM","repo":"vllm-project/vllm","githubUrl":"https://github.com/vllm-project/vllm","homepage":"https://vllm.ai/","pageUrl":"/repo/vllm","category":"Running AI at scale","tagline":"Serves AI models to many users at once, quickly and at lower cost.","whatItDoes":["vLLM is software companies use to run AI models on servers and answer lots of people at the same time. It manages the computer's memory cleverly, so the same hardware can handle many more requests.","It started as a university research project at UC Berkeley and is now used widely by companies hosting their own AI models.","It's infrastructure: you won't see it, but it may be what's answering when you use an AI service."],"whoFor":"Engineering teams running AI models in production.","useWithoutCoding":"Developers only","keywords":[],"rating":4,"tags":["Research-backed"],"owner":{"name":"vLLM","githubUrl":"https://github.com/vllm-project"},"license":"Apache-2.0","stars":94081,"contributors":3784,"monthlyDownloads":1857414,"lastPushedAt":"2026-10-19T01:37:07Z","sources":[{"site":"Research paper","title":"Efficient Memory Management for Large Language Model Serving with PagedAttention","url":"https://arxiv.org/abs/2309.06180","date":"2023-09-12"},{"site":"Hacker News","title":"vLLM v0.28.0","url":"https://news.ycombinator.com/item?id=49492067","date":"2026-08-29"}],"checkedByPerson":true,"cost":"Free","runsOn":["Server"],"hardware":"Made for servers or data centres","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"keras","name":"Keras","repo":"keras-team/keras","githubUrl":"https://github.com/keras-team/keras","homepage":"http://keras.io/","pageUrl":"/repo/keras","category":"Developer building blocks","tagline":"A popular code library for building and training AI models with less effort.","whatItDoes":["Keras is a code library that helps programmers build and train \"deep learning\" models, the kind of AI that learns patterns from lots of examples. It can be used for things like recognising images, understanding text, processing audio and forecasting numbers over time.","It sits on top of other AI engines (TensorFlow, JAX or PyTorch) and lets you switch between them. Its makers say picking the fastest engine for your model can speed things up a lot, and that it scales from a laptop to large groups of computers."],"whoFor":"Programmers, students and researchers who build their own AI models.","useWithoutCoding":"Developers only","keywords":["deep learning","neural network","train a model","python","machine learning"],"rating":4,"tags":["Widely used"],"owner":{"name":"Keras","githubUrl":"https://github.com/keras-team"},"license":"Apache-2.0","stars":64373,"contributors":1592,"monthlyDownloads":11386830,"lastPushedAt":"2026-10-19T01:43:21Z","sources":[{"site":"Hacker News","title":"Keras – Hyperparameter Tuning for Humans","url":"https://news.ycombinator.com/item?id=20249693","date":"2019-06-22"},{"site":"Hacker News","title":"Release Keras 2.3.0 · Keras-team/Keras","url":"https://news.ycombinator.com/item?id=20998156","date":"2019-09-17"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"comfyui","name":"ComfyUI","repo":"Comfy-Org/ComfyUI","githubUrl":"https://github.com/Comfy-Org/ComfyUI","homepage":"https://www.comfy.org/","pageUrl":"/repo/comfyui","category":"Images & video","tagline":"Create AI images and videos by connecting building blocks on a visual canvas.","whatItDoes":["ComfyUI is a tool for making images and videos with AI models such as Stable Diffusion and Flux. Instead of typing everything into one box, you connect blocks (load a model, write a prompt, upscale, save) like a flowchart.","This visual approach gives artists precise control and lets them save and share whole workflows with others.","It runs on your own computer, and a large community publishes add-ons and ready-made workflows for it."],"whoFor":"Digital artists, designers and hobbyists who want deep control over AI image and video generation.","useWithoutCoding":"With some setup","keywords":["pictures","art","generate images","video"],"rating":4,"tags":[],"owner":{"name":"Comfy Org","githubUrl":"https://github.com/Comfy-Org"},"license":"GPL-3.0","stars":138651,"contributors":356,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:17:18Z","sources":[{"site":"Hacker News","title":"ComfyUI – A powerful and modular Stable Diffusion GUI","url":"https://news.ycombinator.com/item?id=34543897","date":"2023-01-27"}],"checkedByPerson":true,"cost":"Free, with optional paid extras","runsOn":["Mac","Windows","Linux","Cloud"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the desktop app for Windows or macOS from the official ComfyUI website.","If your computer isn't powerful enough, Comfy Cloud is the official paid online version.","Start from a ready-made template workflow to make your first image."],"officialDownload":"https://www.comfy.org/download"},{"slug":"sglang","name":"SGLang","repo":"sgl-project/sglang","githubUrl":"https://github.com/sgl-project/sglang","homepage":"https://sglang.io/","pageUrl":"/repo/sglang","category":"Running AI at scale","tagline":"Software that serves large AI models quickly to many users, on a wide range of hardware.","whatItDoes":["SGLang is an \"inference\" framework: software that runs a trained AI model and answers requests with it. It's designed for serving large language models, vision-language models and image and video generation models, especially to many users at once.","Its makers say it's built for heavy workloads like AI agents, large-scale serving and the training method called reinforcement learning. It supports many types of chips, from NVIDIA and AMD graphics cards to Google TPUs and Apple Silicon Macs.","Related projects add audio models for speech and tools for speeding up responses."],"whoFor":"Engineers and companies who run AI models on their own servers for many users.","useWithoutCoding":"Developers only","keywords":["serve ai models","inference","gpu","llm server","fast"],"rating":4,"tags":[],"owner":{"name":"sgl-project","githubUrl":"https://github.com/sgl-project"},"license":"Apache-2.0","stars":37287,"contributors":2082,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:47:18Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Server"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"spec-kit","name":"Spec Kit","repo":"github/spec-kit","githubUrl":"https://github.com/github/spec-kit","homepage":"https://github.github.com/spec-kit/","pageUrl":"/repo/spec-kit","category":"Add-ons for AI coding tools","tagline":"Gives AI coding assistants step-by-step processes, such as writing a plan before building a feature.","whatItDoes":["Spec Kit is a toolkit that gives AI coding assistants a structured way to work. Instead of jumping straight into code, the assistant follows a set process with templates and recorded results.","Its main process is \"spec-driven development\": you describe what you want in a written specification, and the assistant carries it through planning and building. Add-ons cover fixing bugs and judging whether an idea is worth pursuing.","Teams can adjust the processes, add their own steps and rules, or share setups through catalogs. It works with GitHub Copilot and other supported coding assistants."],"whoFor":"Software developers and teams who want AI coding assistants to work in a more planned, repeatable way.","useWithoutCoding":"Developers only","keywords":["specification","planning","copilot","coding workflow"],"rating":4,"tags":[],"owner":{"name":"GitHub","githubUrl":"https://github.com/github"},"license":"MIT","stars":141809,"contributors":321,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T22:43:30Z","sources":[{"site":"Hacker News","title":"Toolkit to help you get started with Spec-Driven Development","url":"https://news.ycombinator.com/item?id=45798473","date":"2025-11-03"},{"site":"Hacker News","title":"Spec-Driven Development Toolkit from GitHub","url":"https://news.ycombinator.com/item?id=45125190","date":"2025-09-04"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Linux","Mac","Windows"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Install Python, the uv tool and a supported AI coding assistant such as GitHub Copilot.","Use the Spec Kit tool to create a new project for your assistant.","Open your assistant in that project and run the Spec Kit skills one at a time."],"officialDownload":null},{"slug":"graphify","name":"graphify","repo":"Graphify-Labs/graphify","githubUrl":"https://github.com/Graphify-Labs/graphify","homepage":"https://www.graphify.com/","pageUrl":"/repo/graphify","category":"Add-ons for AI coding tools","tagline":"Maps a software project into a searchable web of connected ideas that your AI coding assistant can explore.","whatItDoes":["graphify turns a project's code, documents and PDFs into a \"knowledge graph\": a map where each idea is a dot and lines show how ideas connect. You type /graphify in an AI coding assistant such as Claude Code, Cursor or Codex, and it builds the map.","You get a clickable map to open in a browser, a short report of key ideas, and a file the assistant can search later instead of rereading every file. Its makers say the code is read on your own computer; documents and images use your assistant's AI model."],"whoFor":"Programmers who want an AI assistant to understand a large codebase more quickly.","useWithoutCoding":"Developers only","keywords":["code map","knowledge graph","understand codebase","claude code"],"rating":4,"tags":["Fast-rising"],"owner":{"name":"Graphify Labs","githubUrl":"https://github.com/Graphify-Labs"},"license":"Apache-2.0","stars":128446,"contributors":346,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T17:57:21Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Python and the Graphify tool, then let it register itself with your AI assistant.","Type the graphify command in your AI assistant to map your project.","Open the graph page it creates in any web browser to explore it."],"officialDownload":null},{"slug":"cc-switch","name":"CC Switch","repo":"farion1231/cc-switch","githubUrl":"https://github.com/farion1231/cc-switch","homepage":"https://ccswitch.io/","pageUrl":"/repo/cc-switch","category":"Add-ons for AI coding tools","tagline":"A desktop app for switching AI providers and managing settings in Claude Code, Codex and similar coding tools.","whatItDoes":["AI coding tools like Claude Code, Codex, Gemini CLI and OpenCode each keep their settings in text files that are fiddly to edit by hand. CC Switch puts those settings behind one desktop app.","With it you can switch which AI provider a tool uses in one click, and manage add-ons such as MCP connectors (plug-ins that link an AI to other apps), skills and saved prompts in one place.","It runs on Mac, Windows and Linux."],"whoFor":"People who use several AI coding tools, or switch between AI providers, and want to avoid editing configuration files.","useWithoutCoding":"With some setup","keywords":["claude code settings","switch provider","codex","desktop app","mcp"],"rating":4,"tags":[],"owner":{"name":"Jason Young","githubUrl":"https://github.com/farion1231"},"license":"MIT","stars":145885,"contributors":289,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:33:35Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Download the CC Switch app for your computer from the project's releases page.","Add the AI provider settings you use, then switch between them with one click."],"officialDownload":"https://github.com/farion1231/cc-switch/releases"},{"slug":"whisper-cpp","name":"whisper.cpp","repo":"ggml-org/whisper.cpp","githubUrl":"https://github.com/ggml-org/whisper.cpp","homepage":null,"pageUrl":"/repo/whisper-cpp","category":"Speech & audio","tagline":"A fast, lightweight version of the Whisper speech-to-text model that runs on ordinary computers and phones.","whatItDoes":["whisper.cpp is a rebuilt version of OpenAI's Whisper, a model that turns speech into written text. It is written in the C and C++ programming languages with no extra dependencies, which makes it small and quick.","It runs fully offline on Mac, Windows, Linux, iPhone, Android, Raspberry Pi and even in a web browser. It is tuned for Apple Silicon Macs and can also use many kinds of graphics cards, or run on the main processor alone.","It is designed to be easy to build into other apps. The project also includes examples such as a simple offline voice assistant."],"whoFor":"Developers building speech-to-text into apps, and technical users who want private, offline transcription.","useWithoutCoding":"With some setup","keywords":["transcribe","speech to text","offline","whisper","subtitles"],"rating":4,"tags":[],"owner":{"name":"ggml","githubUrl":"https://github.com/ggml-org"},"license":"MIT","stars":54471,"contributors":1071,"monthlyDownloads":null,"lastPushedAt":"2026-10-12T05:01:56Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Phone","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Download the project and one of the Whisper speech models.","Give it a 16-bit WAV audio file to get a text transcript."],"officialDownload":null},{"slug":"opendesign","name":"OpenDesign","repo":"nexu-io/open-design","githubUrl":"https://github.com/nexu-io/open-design","homepage":"https://open-design.ai/","pageUrl":"/repo/opendesign","category":"3D & design","tagline":"A shared workspace where you and AI create prototypes, slides, images and motion graphics, then refine them with your team.","whatItDoes":["OpenDesign is a design workspace that works with AI. You start with a short brief, and an AI agent creates a working prototype of a website, app or dashboard that follows your brand's design rules. You can also make slide decks, images and short animated videos.","You can share your work with teammates, collect feedback, and let the AI make the changes. It keeps design systems (your brand colours, fonts and styles), templates and plugins in one place, and you can inspect and adapt all of them.","It connects to many popular AI coding tools, such as Claude Code, Codex, Cursor and GitHub Copilot, or you can use its own cloud service. Its makers describe it as local-first, meaning your work lives on your own computer by default."],"whoFor":"Designers, product teams and founders who want to turn ideas into prototypes and presentations quickly with AI.","useWithoutCoding":"With some setup","keywords":["design","prototype","figma alternative","slides","mockup"],"rating":4,"tags":["Fast-rising"],"owner":{"name":"OpenDesign","githubUrl":"https://github.com/nexu-io"},"license":"Apache-2.0","stars":102217,"contributors":450,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:28:00Z","sources":[{"site":"Hacker News","title":"Open Design: Use Your Coding Agent as a Design Engine","url":"https://news.ycombinator.com/item?id=47985750","date":"2026-05-02"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Cloud"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download OpenDesign from the project's website, or use OpenDesign Cloud.","Connect it to a coding agent you already use, or to an AI provider.","Start with a short brief and refine the prototype with your agent."],"officialDownload":"https://open-design.ai/"},{"slug":"deerflow","name":"DeerFlow","repo":"bytedance/deer-flow","githubUrl":"https://github.com/bytedance/deer-flow","homepage":"https://deerflow.tech/","pageUrl":"/repo/deerflow","category":"AI agents","tagline":"An AI agent system that researches, writes code and creates content on tasks that can take minutes to hours.","whatItDoes":["DeerFlow is an open-source \"agent harness\": software that coordinates an AI as it works through a long task. It splits work among helper agents, keeps memory between steps, and runs code in a sandbox, a sealed-off space where it can't harm your computer.","It started as a deep-research tool and has been rebuilt to handle wider tasks, such as research reports, coding and content creation. Abilities are added through \"skills\", and it can connect to chat apps and outside tools.","You run it yourself and connect it to the AI models of your choice. The README includes a security notice about deploying it carefully."],"whoFor":"Developers and technical teams who want a self-hosted research and task agent they can extend.","useWithoutCoding":"With some setup","keywords":["deep research","research agent","self-hosted","multi-agent","sandbox"],"rating":4,"tags":[],"owner":{"name":"Bytedance Inc.","githubUrl":"https://github.com/bytedance"},"license":"MIT","stars":84083,"contributors":570,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:19:01Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":true,"firstSteps":["Download the DeerFlow project from GitHub.","Run its setup wizard to choose an AI provider and add your key.","Start it with Docker, which the makers recommend."],"officialDownload":null},{"slug":"ray","name":"Ray","repo":"ray-project/ray","githubUrl":"https://github.com/ray-project/ray","homepage":"https://ray.io/","pageUrl":"/repo/ray","category":"Running AI at scale","tagline":"Spreads heavy AI and Python work across many computers, from a laptop up to a large cluster.","whatItDoes":["Ray helps programs that are too big for one computer run across many machines at once. Its makers say the same code can scale from a laptop to a cluster without other infrastructure.","It comes with libraries for common AI jobs: preparing data, training models, tuning settings, reinforcement learning (learning by trial and error) and serving models to users.","It runs on ordinary machines, cloud providers and Kubernetes (a system for managing many servers), and includes a dashboard for monitoring jobs."],"whoFor":"Engineers and data scientists who need to train or run AI models at large scale.","useWithoutCoding":"Developers only","keywords":["distributed computing","scale ai","cluster","model training"],"rating":4,"tags":["Widely used","Research-backed"],"owner":{"name":"ray-project","githubUrl":"https://github.com/ray-project"},"license":"Apache-2.0","stars":44063,"contributors":1770,"monthlyDownloads":13701060,"lastPushedAt":"2026-10-18T15:45:43Z","sources":[{"site":"Research paper","title":"Ray paper","url":"https://arxiv.org/abs/1712.05889","date":"2017-12-01"},{"site":"Research paper","title":"Ray HotOS paper","url":"https://arxiv.org/abs/1703.03924","date":"2017-03-01"},{"site":"Research paper","title":"RLlib paper","url":"https://arxiv.org/abs/1712.09381","date":"2017-12-01"},{"site":"Research paper","title":"Tune paper","url":"https://arxiv.org/abs/1807.05118","date":"2018-07-01"},{"site":"Research paper","title":"Exoshuffle: large-scale data shuffle in Ray","url":"https://arxiv.org/abs/2203.05072","date":"2022-03-01"},{"site":"Hacker News","title":"Numbers every LLM developer should know","url":"https://news.ycombinator.com/item?id=35978864","date":"2023-05-17"},{"site":"Hacker News","title":"A Comprehensive Guide for Building Rag-Based LLM Applications","url":"https://news.ycombinator.com/item?id=37505687","date":"2023-09-14"}],"checkedByPerson":false,"cost":"Free","runsOn":["Server","Cloud"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"orca","name":"Orca","repo":"stablyai/orca","githubUrl":"https://github.com/stablyai/orca","homepage":"https://orca.dev/","pageUrl":"/repo/orca","category":"Coding assistants","tagline":"A workspace app for running several AI coding agents side by side and keeping track of them in one place.","whatItDoes":["Orca is a desktop app for people who use AI coding agents such as Claude Code, Codex or OpenCode. It lets you run several of them at once, each working on its own separate copy of your project, so you can compare results and keep the best one.","It bundles terminals, a code editor, a built-in browser and tools for reviewing the changes an agent made. You can comment on a change and send the note straight back to the agent.","A companion phone app for iPhone and Android lets you check on agents and send follow-ups when you're away from your desk."],"whoFor":"Programmers who already use command-line AI coding agents and want to run and review several at once.","useWithoutCoding":"With some setup","keywords":["coding agents","claude code","parallel","worktrees","mobile app"],"rating":4,"tags":["Fast-rising"],"owner":{"name":"Stably","githubUrl":"https://github.com/stablyai"},"license":"MIT","stars":96723,"contributors":450,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:44:51Z","sources":[{"site":"Hacker News","title":"Show HN: Open Source 'Conductor + Ghostty'","url":"https://news.ycombinator.com/item?id=47549197","date":"2026-03-27"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Download Orca from the project's website.","Install an AI coding agent such as Claude Code or Codex.","Open your project in Orca and run agents side by side, each in its own workspace."],"officialDownload":null},{"slug":"open-interpreter","name":"Open Interpreter","repo":"openinterpreter/openinterpreter","githubUrl":"https://github.com/openinterpreter/openinterpreter","homepage":"http://openinterpreter.com/","pageUrl":"/repo/open-interpreter","category":"Coding assistants","tagline":"An AI coding assistant for your terminal, tuned to get good results from lower-cost AI models.","whatItDoes":["Open Interpreter is an AI coding agent: you describe what you want in plain language, and it writes code, runs commands and edits files for you in your terminal (the text-based command window).","This version is built on OpenAI's Codex and focuses on getting the best from cheaper, openly available models such as Kimi and DeepSeek. It does this by copying the \"harness\", the set of instructions and tools, that each model's makers recommend. You can switch models and harnesses as you go.","It runs commands inside a sandbox (a fenced-off area) on Mac, Linux and Windows, works in code editors that support the Agent Client Protocol, and includes a skill for testing websites and apps. The original Python version of the project lives on as a separate community-maintained fork."],"whoFor":"Programmers who want an AI coding helper that works well with low-cost or open models.","useWithoutCoding":"With some setup","keywords":["coding agent","terminal","open models","cheap ai","codex alternative"],"rating":4,"tags":[],"owner":{"name":"Open Interpreter","githubUrl":"https://github.com/openinterpreter"},"license":"Apache-2.0","stars":68605,"contributors":616,"monthlyDownloads":null,"lastPushedAt":"2026-10-11T00:56:06Z","sources":[{"site":"Hacker News","title":"Open-interpreter: A natural language interface for computers","url":"https://news.ycombinator.com/item?id=42171379","date":"2024-11-18"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Linux","Windows"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install Open Interpreter with the installer for your system.","Start a session from your terminal.","Choose an AI provider and model, then describe the task you want done."],"officialDownload":null},{"slug":"career-ops","name":"career-ops","repo":"career-ops-hq/career-ops","githubUrl":"https://github.com/career-ops-hq/career-ops","homepage":"https://career-ops.org/","pageUrl":"/repo/career-ops","category":"AI agents","tagline":"An AI job-search helper that scores job ads against your CV and drafts tailored applications for you to review.","whatItDoes":["You paste in a job ad. career-ops checks the listing is still open, scores how well it fits your CV, and tells you if it's a weak match. For good matches it drafts a tailored CV, cover letter and answers, and keeps track of your applications.","Its makers stress that it never submits applications or sends emails for you; you review everything and press Submit yourself. It runs on your own computer inside an AI coding tool such as Claude Code or Codex."],"whoFor":"Job seekers who are comfortable with a little technical setup.","useWithoutCoding":"With some setup","keywords":["job search","resume","cover letter","cv","interview prep"],"rating":4,"tags":["Fast-rising"],"owner":{"name":"career-ops","githubUrl":"https://github.com/career-ops-hq"},"license":"MIT","stars":75508,"contributors":528,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T20:38:09Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Have an AI command-line assistant installed, then start career-ops with its one-line setup.","Share your CV and what you want when it asks in chat.","Paste one job ad to get a fit score and draft application materials."],"officialDownload":null},{"slug":"ai-sdk","name":"AI SDK","repo":"vercel/ai","githubUrl":"https://github.com/vercel/ai","homepage":"https://ai-sdk.dev/","pageUrl":"/repo/ai-sdk","category":"Developer building blocks","tagline":"A free TypeScript library that lets programmers add AI chat, text and agents to their web apps.","whatItDoes":["The AI SDK is a code library for building AI features into apps made with popular web tools like React, Next.js, Svelte and Vue.","It offers one common way to talk to many AI providers, such as OpenAI, Anthropic and Google, so switching models takes little change. It can generate text, return neatly structured data, and power agents.","By default it routes requests through Vercel's own AI Gateway, but you can also connect directly to each provider."],"whoFor":"Web developers working in JavaScript or TypeScript.","useWithoutCoding":"Developers only","keywords":["javascript ai","typescript","chatbot","react","web apps"],"rating":4,"tags":["Widely used"],"owner":{"name":"Vercel","githubUrl":"https://github.com/vercel"},"license":"NOASSERTION","stars":27381,"contributors":733,"monthlyDownloads":121188982,"lastPushedAt":"2026-10-18T20:57:26Z","sources":[{"site":"Hacker News","title":"The Vercel AI SDK: Build Streaming AI Apps with React, Svelte, Solid, and Vue","url":"https://news.ycombinator.com/item?id=36821551","date":"2023-07-21"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"open-webui","name":"Open WebUI","repo":"open-webui/open-webui","githubUrl":"https://github.com/open-webui/open-webui","homepage":"https://openwebui.com/","pageUrl":"/repo/open-webui","category":"Chat assistants","tagline":"A ChatGPT-style chat window for AI models you run yourself or connect to.","whatItDoes":["Open WebUI gives you a polished chat screen, much like ChatGPT, that works with AI models running on your own computer (through tools like Ollama) or with online AI services.","It adds handy features on top: saved conversations, uploading documents to ask questions about them, multiple user accounts, and switching between models.","Families, schools and small teams often use it to set up one shared, private AI assistant."],"whoFor":"People who want a friendly chat experience on top of their own or self-hosted AI models.","useWithoutCoding":"With some setup","keywords":["chatgpt","chatbot"],"rating":4,"tags":[],"owner":{"name":"Open WebUI","githubUrl":"https://github.com/open-webui"},"license":"NOASSERTION","stars":156094,"contributors":891,"monthlyDownloads":1302921,"lastPushedAt":"2026-10-18T20:02:00Z","sources":[{"site":"Hacker News","title":"Open WebUI: ChatGPT-Style WebUI for Ollama","url":"https://news.ycombinator.com/item?id=39415771","date":"2024-02-18"}],"checkedByPerson":true,"cost":"Free, with optional paid extras","runsOn":["Mac","Windows","Linux","Server","Web browser"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Open WebUI with Python 3.11 or with Docker.","Start it, then open it in your web browser on your own computer.","Connect it to local models through Ollama or to an online AI service."],"officialDownload":null},{"slug":"browser-use","name":"Browser Use","repo":"browser-use/browser-use","githubUrl":"https://github.com/browser-use/browser-use","homepage":"https://browser-use.com/","pageUrl":"/repo/browser-use","category":"AI agents","tagline":"Lets an AI control a web browser to complete tasks for you, like clicking, typing and filling forms.","whatItDoes":["Browser Use connects an AI model to a real web browser. You describe a task in plain words, like \"find the cheapest flight on these dates\" or \"collect these prices into a list\", and the AI clicks, scrolls and types its way through websites to do it.","This kind of tool is called an \"AI agent\": instead of only answering questions, the AI takes actions.","The open-source library is free. The company behind it also sells a hosted version."],"whoFor":"Developers automating web tasks, and teams exploring what AI agents can do.","useWithoutCoding":"Developers only","keywords":["automate","web tasks"],"rating":4,"tags":["Widely used"],"owner":{"name":"Browser Use","githubUrl":"https://github.com/browser-use"},"license":"MIT","stars":118424,"contributors":383,"monthlyDownloads":8061974,"lastPushedAt":"2026-10-17T20:02:49Z","sources":[{"site":"Hacker News","title":"Launch HN: Browser Use (YC W25) – open-source web agents","url":"https://news.ycombinator.com/item?id=43173378","date":"2025-02-25"}],"checkedByPerson":true,"cost":"Free, with optional paid extras","runsOn":["Mac","Windows","Linux","Cloud"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Paste the setup prompt from the README into your AI coding assistant, such as Claude Code or Codex.","Or use the hosted cloud version, which gives new sign-ups a small free credit."],"officialDownload":null},{"slug":"goose","name":"goose","repo":"aaif-goose/goose","githubUrl":"https://github.com/aaif-goose/goose","homepage":"https://goose-docs.ai/","pageUrl":"/repo/goose","category":"AI agents","tagline":"A general-purpose AI agent that runs on your computer and carries out tasks, from coding to research.","whatItDoes":["goose is an AI agent: instead of only answering questions, it can take steps on your computer to get a job done. Its makers say it is not just for code. It can help with research, writing, automation and data analysis too.","It comes as a desktop app for Mac, Windows and Linux, as a command-line tool and as an API (a way for other programs to use it). It works with many AI providers, including Anthropic, OpenAI, Google and local models through Ollama.","You can add abilities through more than 70 extensions that use MCP, a standard way to plug tools into AI apps. The project is part of the Agentic AI Foundation at the Linux Foundation."],"whoFor":"Anyone who wants an AI helper that can act on their computer, and developers who want to build on one.","useWithoutCoding":"Yes","keywords":["ai agent","desktop app","automation","assistant","mcp"],"rating":4,"tags":[],"owner":{"name":"goose","githubUrl":"https://github.com/aaif-goose"},"license":"Apache-2.0","stars":55421,"contributors":664,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:15:31Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the desktop app for macOS, Linux or Windows from the goose website.","Connect an AI provider with an API key, an existing subscription, or a local model.","Ask goose to carry out a task, such as research or writing."],"officialDownload":"https://goose-docs.ai/docs/getting-started/installation"},{"slug":"markitdown","name":"MarkItDown","repo":"microsoft/markitdown","githubUrl":"https://github.com/microsoft/markitdown","homepage":null,"pageUrl":"/repo/markitdown","category":"Documents & knowledge","tagline":"Converts Word, PowerPoint, Excel, PDFs and more into clean text that AI tools can read.","whatItDoes":["MarkItDown, from Microsoft, takes everyday files (Word documents, slides, spreadsheets, PDFs, even images and audio) and turns them into simple, tidy text called Markdown.","That matters because AI assistants work best with clean text. Converting files first means the AI can read and understand your documents much more reliably.","It's a small, focused tool that has become very popular as a first step in AI document workflows."],"whoFor":"Anyone feeding documents into AI tools, and developers building document workflows.","useWithoutCoding":"With some setup","keywords":["pdf","word","convert"],"rating":4,"tags":["Widely used"],"owner":{"name":"Microsoft","githubUrl":"https://github.com/microsoft"},"license":"MIT","stars":190932,"contributors":134,"monthlyDownloads":14569559,"lastPushedAt":"2026-10-04T03:59:52Z","sources":[{"site":"Hacker News","title":"MarkItDown: Python tool for converting files and office documents to Markdown","url":"https://news.ycombinator.com/item?id=42410803","date":"2024-12-13"}],"checkedByPerson":true,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Python 3.10 or newer on your computer.","Install MarkItDown using Python's package installer.","Point it at a file, such as a PDF or Word document, to get a clean text version."],"officialDownload":null},{"slug":"lobehub","name":"LobeHub","repo":"lobehub/lobehub","githubUrl":"https://github.com/lobehub/lobehub","homepage":"https://lobehub.com/","pageUrl":"/repo/lobehub","category":"AI agents","tagline":"Build and manage a team of AI agents that work on schedules, remember you and reach you in chat apps.","whatItDoes":["LobeHub is a workspace for finding, building and working with AI agents, helpers that carry out tasks for you. You describe what you need once, and its Agent Builder sets up an agent you can use straight away. It works with many AI models.","Agents can work together in groups, write documents together, run on a schedule while you're away, and be organised by project. They can also talk to you through messaging apps you already use.","Its personal memory feature learns how you work. Its makers say this memory is structured and editable, so you can see and change what your agents remember."],"whoFor":"People and teams who want several AI assistants working for them in one organised place.","useWithoutCoding":"With some setup","keywords":["ai team","agents","chatgpt alternative","assistant","memory"],"rating":4,"tags":[],"owner":{"name":"LobeHub","githubUrl":"https://github.com/lobehub"},"license":"NOASSERTION","stars":83310,"contributors":362,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:21:38Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Cloud","Server","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Get an API key from OpenAI.","Deploy your own copy with the one-click Vercel button or with Docker.","Open your LobeHub site in a browser and start building agents."],"officialDownload":null},{"slug":"openai-cookbook","name":"OpenAI Cookbook","repo":"openai/openai-cookbook","githubUrl":"https://github.com/openai/openai-cookbook","homepage":"https://cookbook.openai.com/","pageUrl":"/repo/openai-cookbook","category":"Learning resources","tagline":"Example code and guides from OpenAI showing how to do common tasks with its AI models.","whatItDoes":["The OpenAI Cookbook is a collection of worked examples for using the OpenAI API, the doorway that lets programs talk to OpenAI's models such as the ones behind ChatGPT.","Most examples are written in Python, but the ideas apply to any programming language. The examples can also be browsed on the cookbook's own website.","To run them, you need an OpenAI account and an API key, which is a kind of password for programs."],"whoFor":"Developers who are building with OpenAI's models and want tested starting points.","useWithoutCoding":"Developers only","keywords":["openai api","chatgpt api","examples","guides","recipes"],"rating":4,"tags":[],"owner":{"name":"OpenAI","githubUrl":"https://github.com/openai"},"license":"MIT","stars":76683,"contributors":388,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T16:46:08Z","sources":[{"site":"Hacker News","title":"Techniques to improve reliability","url":"https://news.ycombinator.com/item?id=34462926","date":"2023-01-21"},{"site":"Hacker News","title":"OpenAI Cookbook","url":"https://news.ycombinator.com/item?id=34328880","date":"2023-01-10"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Browse the examples and guides on the Cookbook website.","To run the examples yourself, create an OpenAI account and get an API key."],"officialDownload":null},{"slug":"nextchat","name":"NextChat","repo":"ChatGPTNextWeb/NextChat","githubUrl":"https://github.com/ChatGPTNextWeb/NextChat","homepage":"https://nextchat.club/","pageUrl":"/repo/nextchat","category":"Chat assistants","tagline":"A light, fast chat app for talking to many AI models, including GPT, Claude, Gemini and DeepSeek.","whatItDoes":["NextChat is a chat app that works with many AI models. It comes as a web app, a small desktop app for Windows, Mac and Linux, and an iOS app. Its makers say chat data is stored locally in your browser.","It supports saved prompt templates, long conversations, and self-hosted models through tools like LocalAI. There is also a hosted version and an enterprise edition."],"whoFor":"Anyone who wants one app for chatting with different AI models.","useWithoutCoding":"Yes","keywords":["chatgpt alternative","chat app","desktop app","claude","gemini"],"rating":4,"tags":[],"owner":{"name":"NextChat","githubUrl":"https://github.com/ChatGPTNextWeb"},"license":"MIT","stars":88861,"contributors":305,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T07:27:55Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux","Web browser","Phone","Cloud"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Get an API key from an AI provider such as OpenAI.","Download the desktop app for Windows, Mac or Linux from the releases page, or install the iOS app.","Or deploy your own web copy on Vercel with one click, adding your API key during setup."],"officialDownload":"https://github.com/ChatGPTNextWeb/NextChat/releases"},{"slug":"mindshub","name":"MindsHub","repo":"mindsdb/mindshub","githubUrl":"https://github.com/mindsdb/mindshub","homepage":"https://mindshub.ai/","pageUrl":"/repo/mindshub","category":"AI agents","tagline":"A workspace where AI agents do research, reports and other knowledge work, using the model you choose.","whatItDoes":["MindsHub is an app where AI agents help with work that involves reading and writing: reports, analysis, monitoring and recurring tasks. It can also build simple tools like dashboards, documents and apps, and publish them to a link you can share.","It connects to data sources such as databases, Gmail, Google Drive, HubSpot and Notion. Its makers say agents never see the raw passwords for these connections. You can switch between commercial models (like Claude, GPT or Gemini) and open models.","It has memory across sessions, a library of reusable skills, and scheduled tasks. It runs on the web, as a desktop app, or on your own servers."],"whoFor":"Knowledge workers and teams who want AI helpers for research, reporting and routine tasks.","useWithoutCoding":"Yes","keywords":["ai coworker","ai workspace","automate reports","agents","research"],"rating":4,"tags":[],"owner":{"name":"MindsDB Inc","githubUrl":"https://github.com/mindsdb"},"license":"MIT","stars":39802,"contributors":908,"monthlyDownloads":null,"lastPushedAt":"2026-10-14T16:44:03Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Web browser","Mac","Windows","Linux","Cloud"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Or download the desktop app for macOS or Windows.","Pick a model and ask an agent to research, analyse or write something for you."],"officialDownload":null},{"slug":"paperclip","name":"Paperclip","repo":"paperclipai/paperclip","githubUrl":"https://github.com/paperclipai/paperclip","homepage":"https://paperclip.ing/","pageUrl":"/repo/paperclip","category":"AI agents","tagline":"A dashboard for running a team of AI agents like a company, with goals, roles, budgets and approvals.","whatItDoes":["Paperclip is a self-hosted app for managing many AI agents at once. It looks like a task manager: you set business goals, \"hire\" agents into roles on an org chart, assign work and watch progress from one dashboard.","It works with many existing AI agents and coding tools, such as Claude Code, Codex, Cursor and Gemini CLI. You can set budgets per company, agent or project, get alerts when spending nears a limit, and require review or approval before work goes ahead.","Tasks keep their conversations, files and history together. It also supports shared skills, connections to services like GitHub and Notion, and use from a phone."],"whoFor":"Teams and individuals who run several AI agents and want to coordinate, review and control their work and costs.","useWithoutCoding":"With some setup","keywords":["manage ai agents","ai team","task manager","agent dashboard","automation"],"rating":4,"tags":["Fast-rising"],"owner":{"name":"Paperclip","githubUrl":"https://github.com/paperclipai"},"license":"MIT","stars":104152,"contributors":234,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:07:09Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Define a goal for your team of AI agents.","Add agents from tools you already use, such as Claude Code or Codex.","Review the plan, set budgets, then start the work and follow it on the dashboard."],"officialDownload":null},{"slug":"hugging-face-datasets","name":"🤗 Datasets","repo":"huggingface/datasets","githubUrl":"https://github.com/huggingface/datasets","homepage":"https://huggingface.co/docs/datasets","pageUrl":"/repo/hugging-face-datasets","category":"Developer building blocks","tagline":"Load and prepare thousands of public datasets for AI with a single line of code.","whatItDoes":["AI models learn from data, and finding and cleaning that data is a big job. Datasets is a Python library that downloads ready-to-use public datasets from the Hugging Face Hub in one line.","It also helps prepare data quickly and repeatably, for public datasets and your own files, including text, tables, images, audio and PDFs.","It is designed so people can easily share new datasets with others."],"whoFor":"Data scientists, researchers and developers who train or test AI models.","useWithoutCoding":"Developers only","keywords":["datasets","training data","hugging face","data preparation"],"rating":4,"tags":["Widely used"],"owner":{"name":"Hugging Face","githubUrl":"https://github.com/huggingface"},"license":"Apache-2.0","stars":22066,"contributors":728,"monthlyDownloads":66840074,"lastPushedAt":"2026-10-16T13:20:06Z","sources":[{"site":"Hacker News","title":"The Hugging Face Datasets Server is now open-source","url":"https://news.ycombinator.com/item?id=33097117","date":"2022-10-05"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"oh-my-pi","name":"oh-my-pi","repo":"can1357/oh-my-pi","githubUrl":"https://github.com/can1357/oh-my-pi","homepage":"https://omp.sh/","pageUrl":"/repo/oh-my-pi","category":"Coding assistants","tagline":"A terminal coding agent that uses the same code-understanding tools as a programmer's editor.","whatItDoes":["oh-my-pi (omp) is an AI coding agent that runs in your terminal. It is a modified version of an open-source agent called Pi.","It connects to the same behind-the-scenes tools a code editor uses to understand a project, such as jumping to definitions and debugging, so the AI can work with that information. Its makers say it supports dozens of AI providers.","Its makers say they tune its editing and file-reading tools so that edits succeed on the first try with many different models."],"whoFor":"Programmers who want a terminal coding agent with deep code-editor features.","useWithoutCoding":"Developers only","keywords":["coding agent","terminal","ai programmer"],"rating":4,"tags":["Fast-rising"],"owner":{"name":"Can Bölük","githubUrl":"https://github.com/can1357"},"license":"MIT","stars":35866,"contributors":936,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:43:47Z","sources":[{"site":"Hacker News","title":"Oh-my-pi: A coding agent with the IDE wired in","url":"https://news.ycombinator.com/item?id=48994611","date":"2026-07-21"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Linux","Windows"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install omp with the installer for your system or with Homebrew.","Start it from a terminal inside your project folder.","Pick an AI provider and model, then describe the coding task you want done."],"officialDownload":null},{"slug":"mlflow","name":"MLflow","repo":"mlflow/mlflow","githubUrl":"https://github.com/mlflow/mlflow","homepage":"https://mlflow.org/","pageUrl":"/repo/mlflow","category":"Running AI at scale","tagline":"A platform for building, testing, monitoring and managing AI apps and machine learning models.","whatItDoes":["MLflow helps teams keep track of AI work. For apps built on large language models and agents, it records traces of what the AI did, runs evaluations of answer quality, stores and improves prompts, and offers a gateway that manages access to different AI providers and their costs.","For traditional machine learning, it tracks experiments, the settings and results of each training run, and helps manage and deploy models.","It works with many programming languages and AI providers, and runs as a server with a web dashboard."],"whoFor":"Data scientists, machine learning engineers and teams putting AI into production.","useWithoutCoding":"Developers only","keywords":["mlops","experiment tracking","ai monitoring","model management"],"rating":4,"tags":[],"owner":{"name":"MLflow","githubUrl":"https://github.com/mlflow"},"license":"Apache-2.0","stars":28440,"contributors":1241,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:20:19Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"paddlepaddle","name":"PaddlePaddle","repo":"PaddlePaddle/Paddle","githubUrl":"https://github.com/PaddlePaddle/Paddle","homepage":"http://www.paddlepaddle.org/","pageUrl":"/repo/paddlepaddle","category":"Developer building blocks","tagline":"A full deep-learning toolkit from China for building, training and running AI models.","whatItDoes":["PaddlePaddle is a framework for building AI models, similar in role to PyTorch or TensorFlow. Its makers say it was China's first independently developed deep-learning platform, open-sourced in 2016.","It handles training and running models, including large ones spread across many chips, and supports scientific computing. Its makers say it's used widely in industries such as manufacturing and agriculture."],"whoFor":"AI engineers and researchers building and training models.","useWithoutCoding":"Developers only","keywords":["deep learning","machine learning framework","train models","python"],"rating":4,"tags":[],"owner":{"name":"PaddlePaddle","githubUrl":"https://github.com/PaddlePaddle"},"license":"Apache-2.0","stars":24128,"contributors":1536,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T07:28:24Z","sources":[{"site":"Hacker News","title":"PaddleOCR, Multilingual OCR Tools","url":"https://news.ycombinator.com/item?id=25622609","date":"2021-01-03"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"moneyprinterturbo","name":"MoneyPrinterTurbo","repo":"harry0703/MoneyPrinterTurbo","githubUrl":"https://github.com/harry0703/MoneyPrinterTurbo","homepage":null,"pageUrl":"/repo/moneyprinterturbo","category":"Images & video","tagline":"Type a topic or keyword and get a finished short video with script, voiceover, footage, subtitles and music.","whatItDoes":["MoneyPrinterTurbo makes short videos automatically. You give it a subject or a few keywords, and it writes a script, adds a voiceover, finds matching video clips, creates subtitles, picks background music and edits it all together.","You can step in at any stage and use your own script or other material instead. It can make several videos in one go and keeps a history of past jobs. Scripts can be written in many languages.","It works with many AI providers for writing the script, including OpenAI, Anthropic Claude, Google Gemini, DeepSeek and Kimi. You can use it through a web page, an AI agent, a command line or an API (a doorway that lets other programs use it)."],"whoFor":"Content creators making short videos for platforms like TikTok, YouTube Shorts or Instagram Reels.","useWithoutCoding":"With some setup","keywords":["short video","tiktok","youtube shorts","video maker","subtitles"],"rating":4,"tags":[],"owner":{"name":"Harry","githubUrl":"https://github.com/harry0703"},"license":"MIT","stars":132805,"contributors":147,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T01:04:30Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Windows","Mac","Linux"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Get MoneyPrinterTurbo from the project's releases page.","Add an API key from a supported AI provider in the settings.","Type a video topic or keyword and let it generate the finished video."],"officialDownload":"https://github.com/harry0703/MoneyPrinterTurbo/releases"},{"slug":"gemini-cli","name":"Gemini CLI","repo":"google-gemini/gemini-cli","githubUrl":"https://github.com/google-gemini/gemini-cli","homepage":"https://geminicli.com/","pageUrl":"/repo/gemini-cli","category":"Coding assistants","tagline":"Brings Google's Gemini AI into your terminal to help read, write and fix code.","whatItDoes":["Gemini CLI is an AI assistant that runs in the terminal, the text window programmers type commands into. You can ask it questions about a codebase, have it edit files, debug problems, or even build a new app from a PDF, image or sketch.","It can connect to extra tools through MCP (a standard way to plug new abilities into AI assistants) and can run inside scripts to automate jobs. You sign in with a Google account or use a Gemini API key.","Its makers note that for unpaid and Google One users it has been replaced by Antigravity CLI, and they point people to Antigravity CLI for the newest Gemini models."],"whoFor":"Programmers who like working in the terminal and want an AI helper there.","useWithoutCoding":"Developers only","keywords":["gemini","google ai","coding","terminal"],"rating":4,"tags":[],"owner":{"name":"google-gemini","githubUrl":"https://github.com/google-gemini"},"license":"Apache-2.0","stars":107442,"contributors":700,"monthlyDownloads":1647448,"lastPushedAt":"2026-10-19T01:34:29Z","sources":[{"site":"Hacker News","title":"It looks like the status/need-triage label was removed","url":"https://news.ycombinator.com/item?id=46721179","date":"2026-01-22"},{"site":"Hacker News","title":"Addressing Antigravity Bans and Reinstating Access","url":"https://news.ycombinator.com/item?id=47195371","date":"2026-02-28"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Linux"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Sign in with your Google account, or set up a Gemini API key.","Start Gemini CLI in your project folder and type what you want it to do."],"officialDownload":null},{"slug":"cherry-studio","name":"Cherry Studio","repo":"CherryHQ/cherry-studio","githubUrl":"https://github.com/CherryHQ/cherry-studio","homepage":"https://cherryai.com/","pageUrl":"/repo/cherry-studio","category":"Chat assistants","tagline":"A desktop app for chatting with many different AI models in one place, with hundreds of ready-made assistants.","whatItDoes":["Cherry Studio is a desktop app for Windows, Mac and Linux that connects to many AI providers, such as OpenAI, Gemini and Anthropic, as well as models running on your own computer through Ollama or LM Studio.","It comes with more than 300 pre-set assistants and lets you create your own. You can chat with several models at the same time, work with documents, images and PDFs, translate text, and search your conversations.","Its makers say it's ready to use with no setup of a programming environment. There's also a separate mobile app for iOS and Android."],"whoFor":"Anyone who uses AI chat tools and wants one app that works with many models, including local ones.","useWithoutCoding":"Yes","keywords":["chatgpt alternative","desktop app","ai chat","multiple models","assistants"],"rating":4,"tags":[],"owner":{"name":"CherryHQ","githubUrl":"https://github.com/CherryHQ"},"license":"AGPL-3.0","stars":52733,"contributors":497,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:47:40Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Windows","Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the desktop app for Windows, Mac or Linux from the project's releases page.","Connect an AI service such as OpenAI or Gemini, or a local model through Ollama or LM Studio.","Pick one of the ready-made assistants and start chatting."],"officialDownload":"https://github.com/CherryHQ/cherry-studio/releases"},{"slug":"generative-ai-for-beginners","name":"Generative AI for Beginners","repo":"microsoft/generative-ai-for-beginners","githubUrl":"https://github.com/microsoft/generative-ai-for-beginners","homepage":null,"pageUrl":"/repo/generative-ai-for-beginners","category":"Learning resources","tagline":"A 21-lesson course from Microsoft on how generative AI works and how to build with it.","whatItDoes":["This is a course with 21 lessons about generative AI, the kind of AI that writes text or makes images. Each lesson stands alone, so you can start wherever you like.","Some lessons explain ideas, such as how large language models work, how to pick a model and how to use AI responsibly. Others are hands-on and include code examples in Python and TypeScript.","Each lesson comes with a short video, a written lesson and links to further reading. The course is translated into many languages."],"whoFor":"Beginners who want to understand generative AI, and new developers who want to start building AI apps.","useWithoutCoding":"Yes","keywords":["ai course","learn ai","beginner","prompt engineering","tutorial"],"rating":4,"tags":[],"owner":{"name":"Microsoft","githubUrl":"https://github.com/microsoft"},"license":"MIT","stars":121595,"contributors":158,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T14:57:18Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Fork the course to your own GitHub account, then start with the Course Setup lesson.","To run the code, use an OpenAI or Azure account, or Foundry Local on your own device."],"officialDownload":null},{"slug":"llamafactory","name":"LlamaFactory","repo":"hiyouga/LlamaFactory","githubUrl":"https://github.com/hiyouga/LlamaFactory","homepage":"https://llamafactory.readthedocs.io/","pageUrl":"/repo/llamafactory","category":"Training & fine-tuning","tagline":"Customise more than 100 open AI models on your own data, using a web interface or simple commands.","whatItDoes":["Fine-tuning means taking an existing AI model and training it a little more so it gets better at your particular task or subject. LlamaFactory is a toolkit that does this for over 100 popular open models, including Llama, Qwen, DeepSeek, Gemma and Mistral.","It includes a web interface called LLaMA Board, so you can set up training without writing code. It supports many training methods, including memory-saving ones like LoRA and QLoRA that let you fine-tune large models on less powerful hardware.","Beyond text chat, it can train models for tasks like using tools, understanding images, video and audio. Once trained, models can be tried out in a chat window or served to other programs."],"whoFor":"Researchers, developers and data teams who want to adapt open AI models to their own data.","useWithoutCoding":"With some setup","keywords":["fine-tune","train model","lora","custom ai","llama"],"rating":4,"tags":[],"owner":{"name":"Yaowei Zheng","githubUrl":"https://github.com/hiyouga"},"license":"Apache-2.0","stars":75568,"contributors":298,"monthlyDownloads":null,"lastPushedAt":"2026-10-10T07:29:23Z","sources":[{"site":"Hacker News","title":"Llama-Factory: Unified, Efficient Fine-Tuning for 100 Open LLMs","url":"https://news.ycombinator.com/item?id=45296403","date":"2025-09-18"}],"checkedByPerson":false,"cost":"Free","runsOn":["Cloud"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Try it free in the cloud using the project's Google Colab notebook.","Or install it on your own computer by following the Getting Started section.","Use the LLaMA Board web interface to fine-tune a model without writing code."],"officialDownload":null},{"slug":"langgraph","name":"LangGraph","repo":"langchain-ai/langgraph","githubUrl":"https://github.com/langchain-ai/langgraph","homepage":"https://docs.langchain.com/oss/python/langgraph/","pageUrl":"/repo/langgraph","category":"Developer building blocks","tagline":"A programming toolkit for building AI agents that run for a long time, remember things and recover from errors.","whatItDoes":["LangGraph is a code library for building AI agents, programs that take a series of steps to complete a task. It handles the behind-the-scenes plumbing so agents can run for long periods and pick up where they left off if something fails.","It lets a person check and change what an agent is doing at any point, and gives agents both short-term and long-term memory. It's made by the team behind LangChain and works with their other tools, but can be used on its own."],"whoFor":"Software developers building reliable AI agents and multi-step AI workflows.","useWithoutCoding":"Developers only","keywords":["ai agents","agent framework","workflow","python","langchain"],"rating":4,"tags":["Widely used"],"owner":{"name":"LangChain","githubUrl":"https://github.com/langchain-ai"},"license":"MIT","stars":43465,"contributors":290,"monthlyDownloads":44769952,"lastPushedAt":"2026-10-18T19:18:52Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"agno","name":"Agno","repo":"agno-agi/agno","githubUrl":"https://github.com/agno-agi/agno","homepage":"https://docs.agno.com/","pageUrl":"/repo/agno","category":"AI agents","tagline":"Helps developers build AI agents, run them as a service and manage them from a web dashboard.","whatItDoes":["Agno is a toolkit for building AI \"agents\", programs that can use tools and take steps on their own, and for running them as an online service. It comes with a web dashboard for managing everything.","Its makers say you keep control of your own data. Conversations, memory and activity logs are stored in your own database. It connects to many services such as GitHub, Slack and Postgres, can pause and ask a person to approve actions, and can put agents on Slack, Telegram, WhatsApp or Discord.","The README suggests letting an AI coding assistant do the setup for you, which runs everything on your computer using Docker."],"whoFor":"Developers and companies building their own AI agent services.","useWithoutCoding":"Developers only","keywords":["ai agents","agent platform","chatbot","automation","self-hosted"],"rating":4,"tags":[],"owner":{"name":"Agno","githubUrl":"https://github.com/agno-agi"},"license":"Apache-2.0","stars":42801,"contributors":608,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T19:52:02Z","sources":[{"site":"Hacker News","title":"Show HN: Agno – A full-stack framework for building Multi-Agent Systems","url":"https://news.ycombinator.com/item?id=44155074","date":"2025-06-02"},{"site":"Hacker News","title":"Agno Agents startup 5000x faster than Langgraph, use 50x less memory","url":"https://news.ycombinator.com/item?id=42880415","date":"2025-01-30"}],"checkedByPerson":false,"cost":"Free","runsOn":["Server","Cloud"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"spacy","name":"spaCy","repo":"explosion/spaCy","githubUrl":"https://github.com/explosion/spaCy","homepage":"https://spacy.io/","pageUrl":"/repo/spacy","category":"Developer building blocks","tagline":"A code library that helps programs understand text, such as finding names, places and topics.","whatItDoes":["spaCy is a Python library for \"natural language processing\", which means getting computers to work with human language. It can split text into words and sentences, tag grammar, spot names of people, places and organisations, and sort text into categories.","It comes with ready-made models for many languages and supports more than 70 languages in total. Developers can also train their own models and connect large AI language models into their text pipelines."],"whoFor":"Developers and data scientists who need to process large amounts of text.","useWithoutCoding":"Developers only","keywords":["text analysis","nlp","find names in text","language","python"],"rating":4,"tags":[],"owner":{"name":"Explosion","githubUrl":"https://github.com/explosion"},"license":"MIT","stars":33971,"contributors":783,"monthlyDownloads":null,"lastPushedAt":"2026-10-12T06:36:31Z","sources":[{"site":"Hacker News","title":"SpaCy 3.0","url":"https://news.ycombinator.com/item?id=25988702","date":"2021-02-01"},{"site":"Hacker News","title":"SpaCy 2.0 released","url":"https://news.ycombinator.com/item?id=15651183","date":"2017-11-08"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"crewai","name":"CrewAI","repo":"crewAIInc/crewAI","githubUrl":"https://github.com/crewAIInc/crewAI","homepage":"https://crewai.com/","pageUrl":"/repo/crewai","category":"AI agents","tagline":"Lets developers set up teams of AI agents, each with a role, that work together on tasks.","whatItDoes":["CrewAI is a Python toolkit for building groups of AI \"agents\", programs that can plan and take steps on their own. You give each agent a role, such as researcher or writer, and they work together like a small team.","It has two main parts. \"Crews\" let agents work more freely and share tasks. \"Flows\" give tighter, step-by-step control over an automation. Examples in the README include writing job descriptions, planning a trip and analysing stocks.","The core framework is open source. The company behind it also sells a paid platform for managing and monitoring agents in larger organisations."],"whoFor":"Developers who want to automate multi-step work with several cooperating AI agents.","useWithoutCoding":"Developers only","keywords":["ai agents","automation","multi-agent","ai team","workflow"],"rating":4,"tags":[],"owner":{"name":"crewAI","githubUrl":"https://github.com/crewAIInc"},"license":"MIT","stars":59842,"contributors":349,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:59:46Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"tesseract","name":"Tesseract OCR","repo":"tesseract-ocr/tesseract","githubUrl":"https://github.com/tesseract-ocr/tesseract","homepage":"https://tesseract-ocr.github.io/","pageUrl":"/repo/tesseract","category":"Everyday tools","tagline":"Reads text out of images and scans, in more than 100 languages.","whatItDoes":["Tesseract is an OCR engine. OCR, optical character recognition, turns pictures of text, such as photos or scanned pages, into text you can copy and search.","It recognises more than 100 languages, reads common image formats like PNG, JPEG and TIFF, and can produce plain text, searchable PDFs and other formats. Newer versions use a neural network, a type of AI, to read whole lines of text.","It does not come with a visual app of its own; it runs as a command-line program. Many other apps build on it and add a friendly interface."],"whoFor":"Anyone who needs to digitise printed text, and developers adding text recognition to their apps.","useWithoutCoding":"With some setup","keywords":["ocr","scan to text","image to text","digitise documents"],"rating":4,"tags":[],"owner":{"name":"tesseract-ocr","githubUrl":"https://github.com/tesseract-ocr"},"license":"Apache-2.0","stars":77058,"contributors":246,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T19:50:19Z","sources":[{"site":"Hacker News","title":"Tesseract OCR","url":"https://news.ycombinator.com/item?id=27876383","date":"2021-07-18"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install Tesseract from a ready-made package for your system, as described in its installation guide."],"officialDownload":"https://tesseract-ocr.github.io/tessdoc/Installation.html"},{"slug":"stable-diffusion-web-ui","name":"Stable Diffusion web UI","repo":"AUTOMATIC1111/stable-diffusion-webui","githubUrl":"https://github.com/AUTOMATIC1111/stable-diffusion-webui","homepage":null,"pageUrl":"/repo/stable-diffusion-web-ui","category":"Images & video","tagline":"A web page on your own computer for making and editing AI images with Stable Diffusion.","whatItDoes":["Stable Diffusion is an AI model that makes pictures from a written description. This project wraps it in a web page that runs on your own computer, so you can type a prompt and get images without writing code.","Beyond text-to-image, it can change an existing picture, fill in or extend parts of an image, fix faces and make small images bigger. You can also list things you don't want to see, save favourite prompt styles and run large batches.","A big library of community extensions adds more features. The settings used for each image are saved with it, so you can recreate a result later."],"whoFor":"Artists, hobbyists and anyone who wants to make AI images on their own machine with lots of control.","useWithoutCoding":"With some setup","keywords":["ai art","image generator","text to image","stable diffusion","inpainting"],"rating":4,"tags":["Widely used"],"owner":{"name":"AUTOMATIC1111","githubUrl":"https://github.com/AUTOMATIC1111"},"license":"AGPL-3.0","stars":165075,"contributors":639,"monthlyDownloads":null,"lastPushedAt":"2026-03-02T07:00:53Z","sources":[{"site":"Hacker News","title":"A Web UI for Stable Diffusion","url":"https://news.ycombinator.com/item?id=32784181","date":"2022-09-09"},{"site":"Hacker News","title":"Automatic1111 is back on GitHub after removing Embedding Links","url":"https://news.ycombinator.com/item?id=34261986","date":"2023-01-05"}],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Linux","Mac"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["On Windows with an NVIDIA card, download the release package and extract it.","Run the update file, then the run file.","Use the web page it opens to create images."],"officialDownload":"https://github.com/AUTOMATIC1111/stable-diffusion-webui/releases/tag/v1.0.0-pre"},{"slug":"deepspeed","name":"DeepSpeed","repo":"deepspeedai/DeepSpeed","githubUrl":"https://github.com/deepspeedai/DeepSpeed","homepage":"https://www.deepspeed.ai/","pageUrl":"/repo/deepspeed","category":"Training & fine-tuning","tagline":"Software that helps train and run very large AI models faster across many computer chips.","whatItDoes":["Training large AI models takes huge amounts of memory and computing power. DeepSpeed is a library that spreads this work across many graphics chips (GPUs) and uses memory more efficiently.","Its makers say it has been used to train some very large language models, including BLOOM. It works with PyTorch, a popular AI programming toolkit."],"whoFor":"AI engineers and researchers training or serving large models.","useWithoutCoding":"Developers only","keywords":["train ai","gpu","large models","pytorch","speed up training"],"rating":4,"tags":[],"owner":{"name":"deepspeedai","githubUrl":"https://github.com/deepspeedai"},"license":"Apache-2.0","stars":43242,"contributors":526,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T11:07:50Z","sources":[{"site":"Hacker News","title":"DeepSpeed Chat: Easy, fast and affordable RLHF training of ChatGPT-like models","url":"https://news.ycombinator.com/item?id=35547467","date":"2023-04-12"},{"site":"Hacker News","title":"DeepSpeed Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-Like Models","url":"https://news.ycombinator.com/item?id=35531106","date":"2023-04-11"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"Made for servers or data centres","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"yolov5","name":"YOLOv5","repo":"ultralytics/yolov5","githubUrl":"https://github.com/ultralytics/yolov5","homepage":"https://docs.ultralytics.com/yolov5/","pageUrl":"/repo/yolov5","category":"AI models & research","tagline":"An AI model that spots and labels objects, such as people, cars or animals, in photos and video.","whatItDoes":["YOLOv5 is a computer-vision model, AI that understands images. Its main job is \"object detection\": finding things in a picture or video and drawing a box around each one with a label. It can also outline the exact shape of objects and sort whole images into categories.","It runs on images, videos, webcams, screen captures and live streams. Its makers describe it as fast, accurate and easy to use, and it comes in several sizes, from small and quick to large and more accurate.","You can also train it on your own pictures to recognise new kinds of objects, and export it to run on phones and other devices. Its makers now point new users to their newer Ultralytics YOLO models."],"whoFor":"Developers, researchers and students working on projects that need a computer to recognise things in images.","useWithoutCoding":"Developers only","keywords":["object detection","computer vision","image recognition","camera","yolo"],"rating":4,"tags":[],"owner":{"name":"Ultralytics","githubUrl":"https://github.com/ultralytics"},"license":"AGPL-3.0","stars":58181,"contributors":351,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T14:15:38Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"diffusers","name":"Diffusers","repo":"huggingface/diffusers","githubUrl":"https://github.com/huggingface/diffusers","homepage":"https://huggingface.co/docs/diffusers","pageUrl":"/repo/diffusers","category":"Developer building blocks","tagline":"A code library for generating images, video and audio with diffusion models such as Stable Diffusion.","whatItDoes":["Diffusers is a Python library from Hugging Face for working with \"diffusion models\", the kind of AI behind tools like Stable Diffusion. These models create images, video or audio by starting from random noise and gradually refining it into a picture or sound.","With a few lines of code, a programmer can load a ready-made model and turn a text description into an image. The library also offers interchangeable parts for building custom systems, plus guides for making models faster, using less memory and training your own.","It connects to the Hugging Face Hub, where thousands of ready-made models can be downloaded."],"whoFor":"Programmers, researchers and artists who code and want to build or experiment with AI image, video or audio generation.","useWithoutCoding":"Developers only","keywords":["image generation","stable diffusion","text to image","ai art","python library"],"rating":4,"tags":[],"owner":{"name":"Hugging Face","githubUrl":"https://github.com/huggingface"},"license":"Apache-2.0","stars":34753,"contributors":1173,"monthlyDownloads":4970946,"lastPushedAt":"2026-10-18T23:19:26Z","sources":[{"site":"Hacker News","title":"Diffusers: Modular Diffusion model library from HuggingFace","url":"https://news.ycombinator.com/item?id=32181532","date":"2022-07-21"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"agentic-awesome-skills","name":"Agentic Awesome Skills","repo":"sickn33/agentic-awesome-skills","githubUrl":"https://github.com/sickn33/agentic-awesome-skills","homepage":"https://aaskills.tech/","pageUrl":"/repo/agentic-awesome-skills","category":"Add-ons for AI coding tools","tagline":"A huge library of ready-made instructions that teach AI coding assistants new tasks, plus a tool to choose them.","whatItDoes":["\"Skills\" are small instruction files that teach an AI assistant how to do a particular job, such as writing tests or working with a certain tool. This project collects thousands of them in one catalogue that works with assistants like Claude Code, Codex, Cursor, Gemini CLI and others.","Its AAS Core tool lets your assistant search the whole catalogue, choose skills for your project and show you a plan before anything is installed. The makers say the tool doesn't rank or recommend skills itself, and that applying plans is still experimental.","There is also a website version of the catalogue and a browser-based Workbench for reviewing choices."],"whoFor":"Developers who use AI coding assistants and want to extend them with community-made skills.","useWithoutCoding":"Developers only","keywords":["skills","claude code","codex","ai coding","library"],"rating":4,"tags":["Fast-rising"],"owner":{"name":"Nick","githubUrl":"https://github.com/sickn33"},"license":"MIT","stars":47889,"contributors":437,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T22:26:45Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Browse the skills catalog on the project's website.","Follow the Codex or Claude Code setup guide so your assistant can search and choose skills for your project."],"officialDownload":null},{"slug":"streamlit","name":"Streamlit","repo":"streamlit/streamlit","githubUrl":"https://github.com/streamlit/streamlit","homepage":"https://streamlit.io/","pageUrl":"/repo/streamlit","category":"Developer building blocks","tagline":"Turns short Python scripts into interactive web apps, such as dashboards and AI chat apps.","whatItDoes":["Streamlit lets someone who writes Python build a web app in minutes. A few lines of code can add sliders, charts, tables and chat boxes, and the app updates as you edit.","It's widely used for data dashboards and AI chatbot demos. Apps can be shared for free on Streamlit's Community Cloud."],"whoFor":"Data scientists and Python programmers who want to share their work as a simple app.","useWithoutCoding":"Developers only","keywords":["dashboard","web app","python","data app","chatbot demo"],"rating":4,"tags":["Widely used"],"owner":{"name":"Streamlit","githubUrl":"https://github.com/streamlit"},"license":"Apache-2.0","stars":46040,"contributors":338,"monthlyDownloads":19368322,"lastPushedAt":"2026-10-18T18:14:55Z","sources":[{"site":"Hacker News","title":"StreamPot: Run FFmpeg as an API with fluent-FFmpeg compatibility, queues and S3","url":"https://news.ycombinator.com/item?id=41091163","date":"2024-07-28"},{"site":"Hacker News","title":"Show HN: Streamlit – Turn Python Scripts into Beautiful ML Tools","url":"https://news.ycombinator.com/item?id=21126477","date":"2019-10-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser","Cloud"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"anythingllm","name":"AnythingLLM","repo":"Mintplex-Labs/anything-llm","githubUrl":"https://github.com/Mintplex-Labs/anything-llm","homepage":"https://anythingllm.com/","pageUrl":"/repo/anythingllm","category":"Documents & knowledge","tagline":"A private, all-in-one AI app for chatting with your documents and running AI helpers on your own computer.","whatItDoes":["AnythingLLM lets you set up your own ChatGPT-style assistant. You drag in documents such as PDFs or Word files, and then ask questions about them; answers show which source they came from.","It can run AI models on your own computer with no extra setup, or connect to many online AI services. It also includes agents (AI that can take actions like browsing the web), a no-code agent builder, memories and scheduled tasks.","There is a desktop app for Mac, Windows and Linux. A Docker version adds multiple users with permissions and a chat widget you can put on a website."],"whoFor":"Individuals and teams who want to ask AI about their own files while keeping data private.","useWithoutCoding":"Yes","keywords":["chat with pdf","private ai","documents","local ai","knowledge base"],"rating":4,"tags":[],"owner":{"name":"Mintplex Labs","githubUrl":"https://github.com/Mintplex-Labs"},"license":"MIT","stars":67288,"contributors":270,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T01:36:42Z","sources":[{"site":"Hacker News","title":"Show HN: AnythingLLM – Open-Source, All-in-One Desktop AI Assistant","url":"https://news.ycombinator.com/item?id=41457633","date":"2024-09-05"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Mac","Windows","Linux","Phone","Server","Cloud"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the AnythingLLM desktop app for Mac, Windows or Linux from its website.","Choose a local AI model or connect a cloud AI service.","Add your documents and start chatting with them."],"officialDownload":"https://anythingllm.com/download"},{"slug":"awesome-copilot","name":"Awesome GitHub Copilot","repo":"github/awesome-copilot","githubUrl":"https://github.com/github/awesome-copilot","homepage":"https://awesome-copilot.github.com/","pageUrl":"/repo/awesome-copilot","category":"Add-ons for AI coding tools","tagline":"A community collection of ready-made agents, instructions and skills to customise GitHub Copilot.","whatItDoes":["Awesome GitHub Copilot gathers add-ons that people have shared for GitHub Copilot, an AI coding assistant. These include specialised agents, coding rules that apply automatically, skills and plugin bundles.","A companion website lets you search and filter hundreds of these resources. It also has a Learning Hub with guides for people new to customising Copilot.","The add-ons come from many outside developers, and the README advises checking each one before you install it."],"whoFor":"Programmers who use GitHub Copilot and want to tailor how it works.","useWithoutCoding":"With some setup","keywords":["github copilot","plugins","prompts","coding assistant","agents"],"rating":4,"tags":[],"owner":{"name":"GitHub","githubUrl":"https://github.com/github"},"license":"MIT","stars":40160,"contributors":542,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T22:21:03Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Browse the collection on the project's website to find an agent, skill or plugin.","Install the plugin you want through GitHub Copilot in the command line or VS Code.","Check each add-on's documentation first, since they come from third-party developers."],"officialDownload":null},{"slug":"openai-python","name":"OpenAI Python library","repo":"openai/openai-python","githubUrl":"https://github.com/openai/openai-python","homepage":"https://pypi.org/project/openai/","pageUrl":"/repo/openai-python","category":"Developer building blocks","tagline":"The official code library for using OpenAI's AI models from Python programs.","whatItDoes":["This is OpenAI's own Python library. It lets programmers send requests to OpenAI's models, the same family behind ChatGPT, from their own apps and scripts.","With a few lines of code, a program can send instructions and text to a model and get a reply back. It handles details like account keys and connections. Using the models requires an OpenAI account and is usually paid."],"whoFor":"Python developers adding OpenAI models to their apps.","useWithoutCoding":"Developers only","keywords":["openai","chatgpt api","python","gpt","api"],"rating":4,"tags":["Widely used"],"owner":{"name":"OpenAI","githubUrl":"https://github.com/openai"},"license":"Apache-2.0","stars":31882,"contributors":202,"monthlyDownloads":295856631,"lastPushedAt":"2026-10-18T04:32:23Z","sources":[{"site":"Hacker News","title":"ChatML: ChatGPT API expects a structured format, called Chat Markup Language","url":"https://news.ycombinator.com/item?id=34988748","date":"2023-03-01"},{"site":"Hacker News","title":"Migrating to HTTPX2","url":"https://news.ycombinator.com/item?id=49477212","date":"2026-08-28"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"firecrawl","name":"Firecrawl","repo":"firecrawl/firecrawl","githubUrl":"https://github.com/firecrawl/firecrawl","homepage":"https://firecrawl.dev/","pageUrl":"/repo/firecrawl","category":"Developer building blocks","tagline":"Turns websites into clean text and data that AI tools can read and use.","whatItDoes":["Firecrawl collects information from the web for AI programs. Give it a web address and it returns the page as clean text, structured data or a screenshot. It can also search the web, find every page on a site, or collect thousands of pages at once.","It can click, scroll and type on a page before collecting its content, and it can read files posted online, such as PDFs and Word documents. Its makers say it handles hard parts like pages that load content with code and sites that limit visitors.","The project is open source and is also offered as a paid hosted service. Developers connect it to their apps or AI agents with a key from the service."],"whoFor":"Developers building AI apps or agents that need up-to-date information from websites.","useWithoutCoding":"Developers only","keywords":["web scraping","website to text","collect web data","search the web","ai agents"],"rating":4,"tags":[],"owner":{"name":"Firecrawl","githubUrl":"https://github.com/firecrawl"},"license":"AGPL-3.0","stars":192802,"contributors":175,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:33:03Z","sources":[{"site":"Hacker News","title":"Firecracker v1.0 Released","url":"https://news.ycombinator.com/item?id=30147652","date":"2022-01-31"},{"site":"Hacker News","title":"Firecracker now supports raspberry pi 4B","url":"https://news.ycombinator.com/item?id=21448766","date":"2019-11-05"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Cloud"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"novu","name":"Novu","repo":"novuhq/novu","githubUrl":"https://github.com/novuhq/novu","homepage":"https://go.novu.co/github","pageUrl":"/repo/novu","category":"Developer building blocks","tagline":"Lets apps and AI agents send and receive messages across email, text, push, Slack, Teams and more through one system.","whatItDoes":["Most apps need to reach people: a password-reset email, a text message, an in-app alert. Novu gives developers one system for sending these across many channels and providers. It includes workflows, digests that bundle several updates into one message, and a ready-made notification inbox they can drop into their app.","Newer features connect AI agents to the places people chat, such as Slack, Microsoft Teams, Telegram, WhatsApp and email. Novu receives incoming messages, passes them to the developer's agent in one consistent format, and sends the agent's replies back. It doesn't provide the agent itself."],"whoFor":"Developers building apps or AI agents that need to talk to users.","useWithoutCoding":"Developers only","keywords":["notifications","email","text messages","slack bot","agent messaging"],"rating":4,"tags":[],"owner":{"name":"Novu","githubUrl":"https://github.com/novuhq"},"license":"NOASSERTION","stars":40167,"contributors":538,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T21:51:10Z","sources":[{"site":"Hacker News","title":"Novu – Service for managing multi-channel notifications with a single API","url":"https://news.ycombinator.com/item?id=34136381","date":"2022-12-26"}],"checkedByPerson":false,"cost":null,"runsOn":["Cloud"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"kong","name":"Kong Gateway","repo":"Kong/kong","githubUrl":"https://github.com/Kong/kong","homepage":"https://konghq.com/install/","pageUrl":"/repo/kong","category":"Running AI at scale","tagline":"A central gateway that routes, secures and monitors traffic to an organisation's APIs and AI models.","whatItDoes":["Kong is a \"gateway\": a front door that sits in front of a company's services. An API is a doorway that lets programs talk to each other, and Kong manages all those doorways in one place, handling logins, traffic limits, routing and logging.","It also has AI features. It can send requests to many AI providers, such as OpenAI, Anthropic and Google, through one interface, and manage MCP traffic (a standard way for AI tools to connect to services). Its makers list security, caching and monitoring features for AI traffic.","It is extended with plugins and runs on servers, in containers or on Kubernetes."],"whoFor":"Engineering and IT teams running many services or AI models for an organisation.","useWithoutCoding":"Developers only","keywords":["api gateway","ai gateway","llm routing","security","infrastructure"],"rating":3.5,"tags":[],"owner":{"name":"Kong","githubUrl":"https://github.com/Kong"},"license":"Apache-2.0","stars":44279,"contributors":453,"monthlyDownloads":null,"lastPushedAt":"2026-10-14T02:34:58Z","sources":[{"site":"Hacker News","title":"Show HN: Kontext CLI – Credential broker for AI coding agents in Go","url":"https://news.ycombinator.com/item?id=47765374","date":"2026-04-14"},{"site":"Hacker News","title":"gRPC request context which caries values across microservice boundaries","url":"https://news.ycombinator.com/item?id=37934439","date":"2023-10-18"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud"],"hardware":"Made for servers or data centres","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":"https://konghq.com/install/"},{"slug":"librechat","name":"LibreChat","repo":"LibreChat-AI/LibreChat","githubUrl":"https://github.com/LibreChat-AI/LibreChat","homepage":"https://librechat.ai/","pageUrl":"/repo/librechat","category":"Chat assistants","tagline":"A ChatGPT-style chat app you can host yourself and connect to many different AI models.","whatItDoes":["LibreChat is a chat website that looks and works much like ChatGPT, but you run it yourself. You can switch between AI models from many companies, such as OpenAI, Anthropic (Claude), Google and DeepSeek, or use models running on your own computer through tools like Ollama.","It goes beyond basic chat. You can build custom assistants (\"agents\") without code and share them, upload files, search past messages, and let the AI run code safely in a sealed-off space. It supports multiple users with sign-in, so a team or family can share one setup."],"whoFor":"People and organisations who want one private chat app for many AI models.","useWithoutCoding":"With some setup","keywords":["chatgpt alternative","self-hosted","chat app","multiple models","private"],"rating":3.5,"tags":[],"owner":{"name":"LibreChat-AI","githubUrl":"https://github.com/LibreChat-AI"},"license":"MIT","stars":45936,"contributors":420,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T22:23:44Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Server","Cloud","Web browser"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Host it yourself with Docker, or use one of the one-click cloud deploy buttons in the README.","Open LibreChat in your browser and connect the AI providers you want to use."],"officialDownload":null},{"slug":"rtk","name":"RTK","repo":"rtk-ai/rtk","githubUrl":"https://github.com/rtk-ai/rtk","homepage":"https://www.rtk-ai.app/","pageUrl":"/repo/rtk","category":"Add-ons for AI coding tools","tagline":"Shrinks the text AI coding assistants read from terminal commands, so they use fewer tokens.","whatItDoes":["AI coding assistants run commands like listing files or running tests, then read all the output. That output costs \"tokens\", the units AI services charge by, and can crowd out the AI's short-term memory.","RTK sits in between and trims that output before the assistant sees it: for example, showing only failing tests or a compact summary of code changes. It works with Claude Code, Copilot, Gemini CLI, Codex, Cursor and others.","Its makers say command output can shrink by up to 90%, but they point out this is not the same as cutting your bill by that much, because command output is only one part of what you pay for."],"whoFor":"Programmers who use AI coding assistants a lot and want to reduce cost and clutter.","useWithoutCoding":"Developers only","keywords":["save tokens","reduce ai cost","claude code","coding assistant","terminal"],"rating":3.5,"tags":["Fast-rising"],"owner":{"name":"rtk-ai","githubUrl":"https://github.com/rtk-ai"},"license":"Apache-2.0","stars":83885,"contributors":181,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:38:06Z","sources":[{"site":"Hacker News","title":"Rtk – reduce Claude Code token usage","url":"https://news.ycombinator.com/item?id=47189599","date":"2026-02-28"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux","Windows"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install RTK with Homebrew on Mac or Linux, or with winget on Windows.","Run RTK's setup command for your AI coding tool, such as Claude Code or Cursor."],"officialDownload":"https://www.rtk-ai.app/guide/getting-started/installation"},{"slug":"ultralytics-yolo","name":"Ultralytics YOLO","repo":"ultralytics/ultralytics","githubUrl":"https://github.com/ultralytics/ultralytics","homepage":"https://platform.ultralytics.com/","pageUrl":"/repo/ultralytics-yolo","category":"Images & video","tagline":"Finds, outlines and tracks objects and people in photos and videos using YOLO vision models.","whatItDoes":["Ultralytics makes the YOLO family of computer-vision models. Computer vision means teaching computers to understand pictures. Point it at an image or video and it can spot objects (like cars or people), draw their outlines, recognise body poses, or follow them from frame to frame.","It comes with ready-trained models and can also be trained on your own pictures, for example to spot a product on a factory line. It can be used from a simple command line or inside Python programs.","Its makers describe the models as fast and accurate and say they are regularly updated."],"whoFor":"Developers, researchers and engineers building apps that need to see and recognise things.","useWithoutCoding":"Developers only","keywords":["object detection","computer vision","yolo","image recognition","tracking"],"rating":3.5,"tags":[],"owner":{"name":"Ultralytics","githubUrl":"https://github.com/ultralytics"},"license":"AGPL-3.0","stars":62618,"contributors":481,"monthlyDownloads":4182818,"lastPushedAt":"2026-10-19T00:44:05Z","sources":[{"site":"Hacker News","title":"Discrepancy between what's in GitHub and what's been published to PyPI","url":"https://news.ycombinator.com/item?id=42337548","date":"2024-12-06"},{"site":"Hacker News","title":"YOLOv8: Real-time, SOTA, object detection and segmentation models","url":"https://news.ycombinator.com/item?id=34323026","date":"2023-01-10"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"ml-for-beginners","name":"Machine Learning for Beginners","repo":"microsoft/ML-For-Beginners","githubUrl":"https://github.com/microsoft/ML-For-Beginners","homepage":null,"pageUrl":"/repo/ml-for-beginners","category":"Learning resources","tagline":"A free 12-week course from Microsoft that teaches the basics of machine learning through projects.","whatItDoes":["This is a free course of lessons on \"classic\" machine learning: the methods computers use to find patterns in data and make predictions, such as sorting things into groups or forecasting numbers.","Each lesson has a short quiz before and after, written instructions, a project to build, a challenge and an assignment. The lessons use data from many parts of the world as a theme. Most use the Python language, and some are also in R.","The lessons have been translated into many languages, some have short videos, and there are tips for teachers who want to use it in class."],"whoFor":"Students, teachers and curious beginners who want a structured, hands-on introduction to machine learning.","useWithoutCoding":"With some setup","keywords":["learn machine learning","free course","beginners","lessons","data science"],"rating":3.5,"tags":[],"owner":{"name":"Microsoft","githubUrl":"https://github.com/microsoft"},"license":"MIT","stars":91586,"contributors":158,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T11:32:27Z","sources":[{"site":"Hacker News","title":"ML for Beginners GitHub","url":"https://news.ycombinator.com/item?id=38271959","date":"2023-11-15"},{"site":"Hacker News","title":"Machine Learning for Beginners – A Curriculum","url":"https://news.ycombinator.com/item?id=27716313","date":"2021-07-02"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Fork the course to your own GitHub account, or open it in a browser-based coding space.","Start each lesson with the short quiz, then read the lesson and do the activities.","Finish with the follow-up quiz, the challenge and the assignment."],"officialDownload":null},{"slug":"kestra","name":"Kestra","repo":"kestra-io/kestra","githubUrl":"https://github.com/kestra-io/kestra","homepage":"https://go.kestra.io/home","pageUrl":"/repo/kestra","category":"App builders & workflows","tagline":"Schedule and run automated workflows for data, AI and IT systems, built visually or as code.","whatItDoes":["Kestra is an \"orchestration\" platform: it runs chains of automated tasks in the right order, either on a schedule (say, every morning) or when something happens (like a new file arriving).","You can build the same workflow three ways that stay in sync: a no-code editor, a text editor using a simple format called YAML, or an AI Copilot that suggests and edits steps. Hundreds of plugins connect it to databases, cloud storage and other services.","AI agents and document question-answering can be steps inside a workflow, and a built-in MCP server lets AI assistants trigger your workflows."],"whoFor":"Data engineers, IT teams and developers who automate business and data processes.","useWithoutCoding":"With some setup","keywords":["workflow automation","scheduler","data pipelines","orchestration","no-code"],"rating":3.5,"tags":[],"owner":{"name":"Kestra","githubUrl":"https://github.com/kestra-io"},"license":"Apache-2.0","stars":29837,"contributors":720,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T18:54:48Z","sources":[{"site":"Hacker News","title":"Show HN: Kestra - Open-Source Airflow Alternative","url":"https://news.ycombinator.com/item?id=30790047","date":"2022-03-24"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Install Docker and make sure it is running.","Start Kestra with the single Docker command shown in the README.","Open Kestra in your web browser and build a workflow in its editor."],"officialDownload":null},{"slug":"milvus","name":"Milvus","repo":"milvus-io/milvus","githubUrl":"https://github.com/milvus-io/milvus","homepage":"https://milvus.io/","pageUrl":"/repo/milvus","category":"Running AI at scale","tagline":"A database built to store and search huge amounts of AI data, such as text and images, by meaning.","whatItDoes":["Milvus is a vector database. AI tools often turn text, images and other content into lists of numbers called vectors, which capture meaning. A vector database stores these and quickly finds the closest matches, so you can search by meaning rather than exact words.","It's designed for very large collections and can spread work across many machines. It also supports ordinary keyword search and combining both kinds of search in one query, along with user accounts and access controls.","It's commonly used for search, recommendations and RAG (letting a chatbot look things up in your documents before answering). There's also a lightweight version for small projects, and a managed cloud service from another company."],"whoFor":"Developers and companies building AI search, chatbots or recommendation features that handle a lot of data.","useWithoutCoding":"Developers only","keywords":["vector database","semantic search","rag","similarity search","embeddings"],"rating":3.5,"tags":[],"owner":{"name":"The Milvus Project","githubUrl":"https://github.com/milvus-io"},"license":"Apache-2.0","stars":46416,"contributors":386,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T15:13:52Z","sources":[{"site":"Hacker News","title":"DeepSearcher: A local open-source Deep Research","url":"https://news.ycombinator.com/item?id=43172338","date":"2025-02-25"},{"site":"Hacker News","title":"Vector database built for scalable similarity search","url":"https://news.ycombinator.com/item?id=35308551","date":"2023-03-25"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud"],"hardware":"Made for servers or data centres","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"xgboost","name":"XGBoost","repo":"dmlc/xgboost","githubUrl":"https://github.com/dmlc/xgboost","homepage":"https://xgboost.readthedocs.io/","pageUrl":"/repo/xgboost","category":"Data science tools","tagline":"A fast, widely used tool for making predictions from tables of data.","whatItDoes":["XGBoost is a machine-learning library for \"gradient boosting\", a method that combines many small decision trees into one strong predictor. It's commonly used for data like spreadsheets and databases.","Its makers say it is designed to be efficient and flexible, and that the same code can run on a single machine or on large systems such as Spark and Kubernetes. It works from Python, R, Java, Scala, C and more.","It started as a research project at the University of Washington."],"whoFor":"Data scientists and analysts who build prediction models from structured data.","useWithoutCoding":"Developers only","keywords":["prediction","data science","decision trees","machine learning"],"rating":3.5,"tags":["Research-backed"],"owner":{"name":"Distributed (Deep) Machine Learning Community","githubUrl":"https://github.com/dmlc"},"license":"Apache-2.0","stars":28887,"contributors":726,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:31:19Z","sources":[{"site":"Research paper","title":"XGBoost: A Scalable Tree Boosting System","url":"https://arxiv.org/abs/1603.02754","date":"2016-03-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"new-api","name":"New API","repo":"QuantumNous/new-api","githubUrl":"https://github.com/QuantumNous/new-api","homepage":"https://www.newapi.ai/","pageUrl":"/repo/new-api","category":"Running AI at scale","tagline":"A self-hosted gateway that puts many AI model services behind one address, with usage and cost tracking.","whatItDoes":["New API sits between your apps and the AI services they use, such as OpenAI, Anthropic, Google Gemini or DeepSeek. Apps talk to one consistent address, and the gateway passes requests to whichever service you have set up.","A web console lets you manage users, access keys, usage limits, prices and logs, and switch providers without reconfiguring every app. It can also translate between the different request formats used by different AI companies.","Its makers state it is meant for lawful, authorised use, and that users must obtain their own model access and follow each provider's terms."],"whoFor":"Teams and organisations that manage access to several AI services for many users.","useWithoutCoding":"With some setup","keywords":["ai gateway","api management","usage tracking","multiple ai models"],"rating":3.5,"tags":[],"owner":{"name":"QuantumNous","githubUrl":"https://github.com/QuantumNous"},"license":"AGPL-3.0","stars":50183,"contributors":341,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T15:46:10Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Server","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Start New API with Docker on your computer or server.","Open its web console and complete the setup wizard to create an admin account.","Add your AI provider keys, then create a New API key for your apps."],"officialDownload":null},{"slug":"onnx-runtime","name":"ONNX Runtime","repo":"microsoft/onnxruntime","githubUrl":"https://github.com/microsoft/onnxruntime","homepage":"https://onnxruntime.ai/","pageUrl":"/repo/onnx-runtime","category":"Running AI at scale","tagline":"Makes trained AI models run faster on many kinds of computers and chips.","whatItDoes":["ONNX Runtime is an engine for running trained AI models efficiently. It works with models from popular toolkits like PyTorch, TensorFlow and scikit-learn, and runs on many operating systems and types of hardware, using special chips where available.","It can also speed up training of some models on NVIDIA graphics cards. Its makers note it may collect usage data and send it to Microsoft."],"whoFor":"Developers and companies putting AI models into apps and services.","useWithoutCoding":"Developers only","keywords":["run ai models","faster ai","onnx","deployment"],"rating":3.5,"tags":[],"owner":{"name":"Microsoft","githubUrl":"https://github.com/microsoft"},"license":"MIT","stars":22115,"contributors":1026,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:48:32Z","sources":[{"site":"Hacker News","title":"ONNX Runtime merges WebGPU backend","url":"https://news.ycombinator.com/item?id=35694553","date":"2023-04-24"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":"https://github.com/microsoft/onnxruntime/releases"},{"slug":"mastra","name":"Mastra","repo":"mastra-ai/mastra","githubUrl":"https://github.com/mastra-ai/mastra","homepage":"https://mastra.ai/","pageUrl":"/repo/mastra","category":"Developer building blocks","tagline":"A TypeScript toolkit for building AI apps and agents, from first prototype to finished product.","whatItDoes":["Mastra gives JavaScript and TypeScript programmers the pieces to build AI-powered apps. It connects to many AI providers through one interface.","You can build agents that decide which tools to use, or step-by-step workflows when you want tight control. Agents and workflows can pause and wait for a person's approval, remember past conversations, and pull in data from files or databases.","It also includes testing (\"evals\") and monitoring tools, and a local studio screen for trying out agents."],"whoFor":"Web developers who want to add AI agents or chat features to their apps.","useWithoutCoding":"Developers only","keywords":["ai agents","typescript","javascript","workflows","framework"],"rating":3.5,"tags":[],"owner":{"name":"Mastra","githubUrl":"https://github.com/mastra-ai"},"license":"NOASSERTION","stars":28892,"contributors":698,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:44:28Z","sources":[{"site":"Hacker News","title":"Show HN: Mastra – Open-source JS agent framework, by the developers of Gatsby","url":"https://news.ycombinator.com/item?id=43103073","date":"2025-02-19"},{"site":"Hacker News","title":"Show HN: Mastra 1.0, open-source JavaScript agent framework from the Gatsby devs","url":"https://news.ycombinator.com/item?id=46693959","date":"2026-01-20"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"meilisearch","name":"Meilisearch","repo":"meilisearch/meilisearch","githubUrl":"https://github.com/meilisearch/meilisearch","homepage":"https://www.meilisearch.com/","pageUrl":"/repo/meilisearch","category":"Developer building blocks","tagline":"A search engine developers add to websites and apps for fast, typo-tolerant search, including AI-powered results.","whatItDoes":["Meilisearch is the engine behind a search box. Developers load their content, such as products, articles or listings, and Meilisearch returns matching results as the user types, even when words are misspelled.","It supports \"hybrid search\", which mixes ordinary keyword matching with AI-based semantic search that understands meaning, not just exact words. It can also answer questions in plain language using your own content, personalise results for each user, filter and sort by things like price or location, and handle many languages.","You can run it yourself or use the paid Meilisearch Cloud service. It connects to AI tools through LangChain and MCP."],"whoFor":"Developers building search into websites, online shops and apps.","useWithoutCoding":"Developers only","keywords":["search engine","site search","semantic search","typo tolerant","shop search"],"rating":3.5,"tags":[],"owner":{"name":"Meilisearch","githubUrl":"https://github.com/meilisearch"},"license":"NOASSERTION","stars":59600,"contributors":259,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T15:53:55Z","sources":[{"site":"Hacker News","title":"MeiliSearch: Zero-config alternative to Elasticsearch, made in Rust","url":"https://news.ycombinator.com/item?id=22685831","date":"2020-03-25"},{"site":"Hacker News","title":"Meilisearch – search engine API bringing AI-powered hybrid search","url":"https://news.ycombinator.com/item?id=43680699","date":"2025-04-14"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Cloud"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"pytorch-lightning","name":"PyTorch Lightning","repo":"Lightning-AI/pytorch-lightning","githubUrl":"https://github.com/Lightning-AI/pytorch-lightning","homepage":"https://lightning.ai/pytorch-lightning/?utm_source=ptl_readme&utm_medium=referral&utm_campaign=ptl_readme","pageUrl":"/repo/pytorch-lightning","category":"Training & fine-tuning","tagline":"Takes care of the repetitive engineering when training AI models, from one computer to many GPUs.","whatItDoes":["PyTorch is a popular toolkit for building AI models. PyTorch Lightning sits on top of it and organises the code, handling the repetitive engineering parts of training, such as using several graphics cards (GPUs) at once.","Its makers say you can scale from a regular processor to many machines without changing your core code, while experts can still take full control when they need to."],"whoFor":"Machine learning researchers and engineers who train or fine-tune models.","useWithoutCoding":"Developers only","keywords":["train ai model","fine-tune","pytorch","gpu"],"rating":3.5,"tags":[],"owner":{"name":"⚡️ Lightning AI ","githubUrl":"https://github.com/Lightning-AI"},"license":"Apache-2.0","stars":31416,"contributors":1075,"monthlyDownloads":3753872,"lastPushedAt":"2026-10-12T10:54:14Z","sources":[{"site":"Hacker News","title":"How to Finetune GPT-Like Large Language Models on a Custom Dataset","url":"https://news.ycombinator.com/item?id=36068850","date":"2023-05-25"},{"site":"Hacker News","title":"LoRA from scratch: implementation for LLM finetuning","url":"https://news.ycombinator.com/item?id=39091777","date":"2024-01-22"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Cloud"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"mcp-python-sdk","name":"MCP Python SDK","repo":"modelcontextprotocol/python-sdk","githubUrl":"https://github.com/modelcontextprotocol/python-sdk","homepage":"https://py.sdk.modelcontextprotocol.io/","pageUrl":"/repo/mcp-python-sdk","category":"Developer building blocks","tagline":"The official Python toolkit for connecting AI apps to tools and data using the Model Context Protocol.","whatItDoes":["The Model Context Protocol (MCP) is a standard way to give AI apps access to tools and information, a bit like a universal plug. This toolkit lets Python programmers build MCP servers, which offer tools and data, and MCP clients, which connect to them.","Its makers show that a working server takes only a few lines of code, with the toolkit handling the protocol details."],"whoFor":"Python developers who want to plug their tools or data into AI assistants.","useWithoutCoding":"Developers only","keywords":["mcp","python","ai tools","connect ai to data"],"rating":3.5,"tags":["Widely used"],"owner":{"name":"Model Context Protocol","githubUrl":"https://github.com/modelcontextprotocol"},"license":"MIT","stars":24612,"contributors":196,"monthlyDownloads":235193557,"lastPushedAt":"2026-10-17T13:54:39Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"astrbot","name":"AstrBot","repo":"AstrBotDevs/AstrBot","githubUrl":"https://github.com/AstrBotDevs/AstrBot","homepage":"https://astrbot.app/","pageUrl":"/repo/astrbot","category":"Chat assistants","tagline":"Puts an AI chatbot into messaging apps like Telegram, Discord, Slack, QQ and WeChat Work.","whatItDoes":["AstrBot is a platform for running your own AI chatbot inside the messaging apps you already use. It connects to many chat platforms, including Telegram, Discord, Slack, LINE, QQ, Feishu and DingTalk.","You can choose which AI model powers it, give it a personality, attach a knowledge base of your own information, and add skills. More than a thousand plugins are available to install.","It also has a web dashboard for managing the bot and a web chat page. Uses mentioned by its makers include a personal AI companion, customer service and a team knowledge base."],"whoFor":"People and teams who want an AI assistant in their group chats or community channels.","useWithoutCoding":"With some setup","keywords":["chatbot","telegram bot","discord bot","wechat","messaging"],"rating":3.5,"tags":[],"owner":{"name":"AstrBot AI","githubUrl":"https://github.com/AstrBotDevs"},"license":"AGPL-3.0","stars":42128,"contributors":379,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T16:12:31Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Server","Cloud"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Pick a way to run it: the desktop app, a one-click cloud deployment, or Docker on a server.","Connect an AI model service, such as an online provider or a local one like Ollama.","Link it to your chat platform, such as Telegram, Discord or Slack."],"officialDownload":null},{"slug":"hindsight","name":"Hindsight","repo":"vectorize-io/hindsight","githubUrl":"https://github.com/vectorize-io/hindsight","homepage":"https://hindsight.vectorize.io/","pageUrl":"/repo/hindsight","category":"AI memory","tagline":"Gives AI agents a long-term memory, so they can learn from past conversations and work.","whatItDoes":["Hindsight is a memory system for AI agents. Most AI tools forget everything when a conversation ends. Hindsight stores what an agent learns and brings back the relevant parts later.","Its makers say the goal is agents that learn over time, not just ones that recall old chat history. They report top results on a memory test called LongMemEval and say other research groups have reproduced those results.","It runs as a server, often with Docker, and works with many AI model providers, including models that run on your own computer. There are add-ons for coding assistants and a hosted cloud version."],"whoFor":"Developers building AI agents or assistants that need to remember things across sessions.","useWithoutCoding":"Developers only","keywords":["ai memory","agent memory","remember","long-term memory"],"rating":3.5,"tags":["Fast-rising","Research-backed"],"owner":{"name":"vectorize-io","githubUrl":"https://github.com/vectorize-io"},"license":"MIT","stars":51259,"contributors":290,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T14:59:44Z","sources":[{"site":"Research paper","title":"Hindsight research paper","url":"https://arxiv.org/abs/2512.12818","date":"2025-12-01"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Mac","Windows","Linux","Server","Cloud"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"gradio","name":"Gradio","repo":"gradio-app/gradio","githubUrl":"https://github.com/gradio-app/gradio","homepage":"http://www.gradio.app/","pageUrl":"/repo/gradio","category":"Developer building blocks","tagline":"Lets programmers turn an AI model into a simple web app with a few lines of Python, and share a link.","whatItDoes":["Gradio is a Python package for quickly building a web page around an AI model or any piece of Python code. You say what goes in (like text, an image or a slider) and what comes out, and Gradio builds the interface.","The demo opens in a web browser, and Gradio can create a shareable link so others can try it. Many AI demos you see online are built with it."],"whoFor":"Developers and researchers who want to show off or share an AI model without building a website from scratch.","useWithoutCoding":"Developers only","keywords":["ai demo","web app","python","share model","interface"],"rating":3.5,"tags":["Widely used"],"owner":{"name":"Gradio","githubUrl":"https://github.com/gradio-app"},"license":"Apache-2.0","stars":43802,"contributors":506,"monthlyDownloads":5202260,"lastPushedAt":"2026-10-16T21:27:46Z","sources":[{"site":"Hacker News","title":"Show HN: GUIs for Faster ML Prototyping and Sharing","url":"https://news.ycombinator.com/item?id=23901834","date":"2020-07-20"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"mem0","name":"Mem0","repo":"mem0ai/mem0","githubUrl":"https://github.com/mem0ai/mem0","homepage":"https://mem0.ai/","pageUrl":"/repo/mem0","category":"AI memory","tagline":"Gives AI assistants a memory so they can remember people's preferences across conversations.","whatItDoes":["Mem0 (pronounced \"mem-zero\") is a memory layer for AI assistants and agents. It lets an app remember things about a user, a session or an agent, such as preferences or past requests, so later conversations can be more personal.","Its makers suggest uses like customer support bots that recall past tickets and assistants that keep context over time. Developers can use it as a code library, run it on their own server, or use the makers' paid cloud service.","Its makers publish benchmark results for their memory method, and note that the scores reflect their managed platform, which has extra features not in the open-source version."],"whoFor":"Developers building chatbots or AI agents that need to remember users.","useWithoutCoding":"Developers only","keywords":["ai memory","remember conversations","chatbot memory","personalisation"],"rating":3.5,"tags":[],"owner":{"name":"Mem0","githubUrl":"https://github.com/mem0ai"},"license":"Apache-2.0","stars":67406,"contributors":410,"monthlyDownloads":2663705,"lastPushedAt":"2026-10-17T21:06:52Z","sources":[{"site":"Hacker News","title":"Show HN: Mem0 – open-source Memory Layer for AI apps","url":"https://news.ycombinator.com/item?id=41447317","date":"2024-09-04"},{"site":"Hacker News","title":"Show HN: Mem0 Browser Extension: Shared Memory Across ChatGPT,Claude,Perplexity","url":"https://news.ycombinator.com/item?id=42042401","date":"2024-11-04"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"docling","name":"Docling","repo":"docling-project/docling","githubUrl":"https://github.com/docling-project/docling","homepage":"https://docling-project.github.io/docling","pageUrl":"/repo/docling","category":"Documents & knowledge","tagline":"Converts PDFs, Word files, slides and more into clean text that AI tools can read.","whatItDoes":["AI tools work best with clean, well-structured text. Docling takes documents in many formats, including PDF, Word, PowerPoint, Excel, web pages, e-books, emails, images and even audio, and turns them into tidy formats such as Markdown or JSON.","It pays special attention to PDFs. It works out page layout, reading order, tables, formulas and images, and can read text from scanned pages (OCR, optical character recognition).","It can run entirely on your own computer, which its makers point out is useful for sensitive data. It also connects to popular AI frameworks and to AI assistants through MCP, a standard way to plug tools into AI apps."],"whoFor":"Developers and data teams preparing documents for AI search, chat or analysis.","useWithoutCoding":"With some setup","keywords":["pdf to text","pdf converter","document parsing","ocr","markdown"],"rating":3.5,"tags":["Research-backed"],"owner":{"name":"Docling Project","githubUrl":"https://github.com/docling-project"},"license":"MIT","stars":69068,"contributors":372,"monthlyDownloads":2909751,"lastPushedAt":"2026-10-18T07:20:32Z","sources":[{"site":"Research paper","title":"Docling Technical Report","url":"https://arxiv.org/abs/2408.09869","date":"2024-08-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install Docling with Python on a Mac, Windows or Linux computer.","Give it a document file or web address, and it creates a clean text version in Markdown."],"officialDownload":null},{"slug":"frigate","name":"Frigate","repo":"blakeblackshear/frigate","githubUrl":"https://github.com/blakeblackshear/frigate","homepage":"https://frigate.video/","pageUrl":"/repo/frigate","category":"Smart home & gadgets","tagline":"Records your home security cameras and uses AI on your own hardware to spot people, cars and other objects.","whatItDoes":["Frigate is an NVR (network video recorder): software that records footage from IP security cameras. It adds AI object detection that runs locally, so it can tell when a person, car or other object appears instead of alerting on every bit of motion.","It is designed to work closely with Home Assistant, a smart-home platform, and can record around the clock or keep clips based on what was detected. It has a live dashboard, a screen for reviewing events and an editor for marking zones and areas to ignore. A graphics card or a small AI accelerator chip is strongly recommended."],"whoFor":"Home-automation enthusiasts and anyone who wants private, local camera monitoring.","useWithoutCoding":"With some setup","keywords":["security camera","cctv","object detection","home assistant","nvr"],"rating":3.5,"tags":[],"owner":{"name":"Blake Blackshear","githubUrl":"https://github.com/blakeblackshear"},"license":"MIT","stars":36725,"contributors":419,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T20:12:02Z","sources":[{"site":"Hacker News","title":"Frigate – NVR with Realtime Object Detection for IP Cameras","url":"https://news.ycombinator.com/item?id=36557261","date":"2023-07-02"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Follow the installation guide in Frigate's documentation to set it up on a home computer.","Connect your IP cameras, and optionally link Frigate to Home Assistant."],"officialDownload":null},{"slug":"zeroclaw","name":"ZeroClaw","repo":"zeroclaw-labs/zeroclaw","githubUrl":"https://github.com/zeroclaw-labs/zeroclaw","homepage":"https://www.zeroclaw.com/","pageUrl":"/repo/zeroclaw","category":"AI agents","tagline":"A small, self-hosted AI assistant that answers you across chat apps and runs tasks with safety checks.","whatItDoes":["ZeroClaw is an AI assistant you run on your own machine as a single program. You connect it to an AI provider, such as Anthropic, OpenAI or a model on your own computer through Ollama, and it can reply to you across Discord, Telegram, Matrix, email and other channels.","By default it works in a supervised mode: medium-risk actions need your approval and high-risk ones are blocked. It includes a web dashboard for chatting, browsing its memory, editing settings and managing scheduled jobs.","It can also control hardware like a Raspberry Pi or Arduino, and run step-by-step procedures when events happen."],"whoFor":"Tinkerers and developers who want a lightweight personal AI assistant they fully control.","useWithoutCoding":"With some setup","keywords":["personal assistant","self-hosted","chat bot","automation","raspberry pi"],"rating":3.5,"tags":["Fast-rising"],"owner":{"name":"ZeroClaw Labs","githubUrl":"https://github.com/zeroclaw-labs"},"license":"Apache-2.0","stars":32995,"contributors":473,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T23:27:08Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install ZeroClaw with the installer for Mac or Linux, or the prebuilt option for Windows.","Run the quickstart to choose an AI provider, such as a cloud service or a local model.","Chat with your assistant, or connect it to channels like Telegram or Discord."],"officialDownload":null},{"slug":"localai","name":"LocalAI","repo":"mudler/LocalAI","githubUrl":"https://github.com/mudler/LocalAI","homepage":"https://localai.io/","pageUrl":"/repo/localai","category":"Run AI on your computer","tagline":"Runs many kinds of AI models on your own hardware, for text, images, voice and video, with no graphics card required.","whatItDoes":["LocalAI is an engine for running AI models on your own computer or server instead of in the cloud. It handles chat models, image generation, speech, vision and video, all behind one interface.","It speaks the same language as popular services like OpenAI, Anthropic and ElevenLabs, so apps built for those services can use it instead. It only downloads the parts each model needs, and works on many kinds of hardware, including ordinary processors without a graphics card.","It also includes user accounts and quotas, built-in AI agents and tools for adjusting models. Its makers say your data never leaves your own setup."],"whoFor":"People and organisations who want private, self-hosted AI, and developers who want a local stand-in for cloud AI services.","useWithoutCoding":"With some setup","keywords":["offline ai","private","self-hosted","local models","openai alternative"],"rating":3.5,"tags":[],"owner":{"name":"Ettore Di Giacinto","githubUrl":"https://github.com/mudler"},"license":"MIT","stars":49623,"contributors":264,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:24:20Z","sources":[{"site":"Hacker News","title":"Why we write our own C and C++ inference engines","url":"https://news.ycombinator.com/item?id=49125065","date":"2026-07-31"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Or run it with Docker, picking the version for your graphics card or CPU.","Load a model from its gallery and start using it."],"officialDownload":"https://github.com/mudler/LocalAI/releases"},{"slug":"sillytavern","name":"SillyTavern","repo":"SillyTavern/SillyTavern","githubUrl":"https://github.com/SillyTavern/SillyTavern","homepage":"https://sillytavern.app/","pageUrl":"/repo/sillytavern","category":"Chat assistants","tagline":"A highly customisable chat app for talking with AI characters, connected to many different AI services.","whatItDoes":["SillyTavern is a chat program you install yourself. It connects to many AI text services, both online ones (like OpenAI, Claude and Mistral) and ones you run on your own computer, all from one screen.","It is aimed at people who want a lot of control over how the AI is prompted. It includes a visual-novel style mode, picture generation through other tools, text-to-speech voices, and a layout that works on phones.","Its makers say it offers no hosted service and does not track user data. They describe the learning curve as steep."],"whoFor":"AI hobbyists who enjoy character chats and storytelling and like tweaking settings.","useWithoutCoding":"With some setup","keywords":["ai characters","roleplay","chat app","storytelling","local ai"],"rating":3.5,"tags":[],"owner":{"name":"SillyTavern","githubUrl":"https://github.com/SillyTavern"},"license":"AGPL-3.0","stars":34651,"contributors":417,"monthlyDownloads":null,"lastPushedAt":"2026-10-02T22:05:54Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Mac","Linux","Phone"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Open the installation guide for your system on the project's documentation site.","Install SillyTavern, which needs Node.js, and start it.","Connect it to an AI service or to a model running on your own computer."],"officialDownload":null},{"slug":"cs-video-courses","name":"Computer Science courses with video lectures","repo":"Developer-Y/cs-video-courses","githubUrl":"https://github.com/Developer-Y/cs-video-courses","homepage":null,"pageUrl":"/repo/cs-video-courses","category":"Learning resources","tagline":"A long list of free university computer science courses that come with recorded video lectures.","whatItDoes":["This is a curated list of university-level computer science courses that have video lectures you can watch online. It links to courses from universities such as MIT, Stanford, Harvard and UC Berkeley.","It covers many subjects, with large sections on artificial intelligence, machine learning, deep learning, natural language processing, generative AI and computer vision, alongside topics like programming, databases and security.","The list's maintainers ask for real college courses only, not short tutorials or adverts."],"whoFor":"Self-learners and students who want structured, university-style lessons in AI or computer science.","useWithoutCoding":"Yes","keywords":["free courses","video lectures","learn ai","computer science"],"rating":3.5,"tags":[],"owner":{"name":"Developer-Y","githubUrl":"https://github.com/Developer-Y"},"license":null,"stars":83694,"contributors":124,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T20:07:15Z","sources":[{"site":"Hacker News","title":"Computer Science courses with video lectures","url":"https://news.ycombinator.com/item?id=13000158","date":"2016-11-20"},{"site":"Hacker News","title":"List of Computer Science courses with video lectures","url":"https://news.ycombinator.com/item?id=13014472","date":"2016-11-22"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Browse the list by subject and pick a course.","Follow the course link to watch its recorded lectures."],"officialDownload":null},{"slug":"openai-agents-sdk","name":"OpenAI Agents SDK","repo":"openai/openai-agents-python","githubUrl":"https://github.com/openai/openai-agents-python","homepage":"https://openai.github.io/openai-agents-python/","pageUrl":"/repo/openai-agents-sdk","category":"Developer building blocks","tagline":"A Python toolkit from OpenAI for building AI agents that use tools and work together.","whatItDoes":["This toolkit helps programmers build AI agents: AI set up with instructions and tools so it can take actions. Agents can hand tasks to each other, follow safety checks, pause for a human, and remember conversations.","It also supports voice agents and includes tracing to see what an agent did. It works with OpenAI models and, its makers say, more than 100 other AI models."],"whoFor":"Python developers building agent-based apps.","useWithoutCoding":"Developers only","keywords":["ai agents","openai","python","multi-agent","voice agent"],"rating":3.5,"tags":["Widely used"],"owner":{"name":"OpenAI","githubUrl":"https://github.com/openai"},"license":"MIT","stars":30118,"contributors":407,"monthlyDownloads":12449784,"lastPushedAt":"2026-10-17T23:37:07Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"hello-agents","name":"Hello-Agents","repo":"datawhalechina/hello-agents","githubUrl":"https://github.com/datawhalechina/hello-agents","homepage":"https://hello-agents.datawhale.cc/","pageUrl":"/repo/hello-agents","category":"Learning resources","tagline":"A free step-by-step course, mainly in Chinese, on how AI agents work and how to build your own.","whatItDoes":["Hello-Agents is a free tutorial from the Datawhale community about AI agents: AI systems that plan and take actions, not just answer questions. It starts with what agents are and their history, then covers the basics of large language models, the technology behind chatbots like ChatGPT.","Later chapters show how to build agents with low-code platforms such as Coze, Dify and n8n, with popular code frameworks, and from scratch. It also covers memory, search over your own documents, ways agents talk to tools, training and testing. It ends with practice projects like a travel assistant and a simulated town.","You can read it online or download a free PDF. The main content is in Chinese, with an English version of the introduction page."],"whoFor":"Students and developers who want a structured, hands-on course on building AI agents.","useWithoutCoding":"Yes","keywords":["learn ai agents","tutorial","course","free book","chinese"],"rating":3.5,"tags":[],"owner":{"name":"Datawhale","githubUrl":"https://github.com/datawhalechina"},"license":"NOASSERTION","stars":83607,"contributors":123,"monthlyDownloads":null,"lastPushedAt":"2026-10-13T22:28:54Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Or download the free PDF version from the project's releases page.","The hands-on code chapters assume basic Python skills."],"officialDownload":"https://github.com/datawhalechina/hello-agents/releases/latest"},{"slug":"paddleocr","name":"PaddleOCR","repo":"PaddlePaddle/PaddleOCR","githubUrl":"https://github.com/PaddlePaddle/PaddleOCR","homepage":"https://www.paddleocr.com/","pageUrl":"/repo/paddleocr","category":"Documents & knowledge","tagline":"Reads text, tables and formulas from images and PDFs and turns them into tidy, structured files.","whatItDoes":["PaddleOCR does OCR (optical character recognition), meaning it reads the text in pictures, scans and PDFs. It can turn messy documents into neat Markdown or JSON files that other AI tools can use.","Beyond plain text, it can pick out tables, formulas, charts and stamps, and it can read text in photos such as street signs or ID cards. Its makers say it supports more than 100 languages.","It is often used as the first step in tools that let AI answer questions about your documents."],"whoFor":"Developers building document-processing or AI search tools, and anyone who needs to digitize large numbers of scans.","useWithoutCoding":"Developers only","keywords":["ocr","scan to text","pdf","read documents","tables"],"rating":3.5,"tags":[],"owner":{"name":"PaddlePaddle","githubUrl":"https://github.com/PaddlePaddle"},"license":"Apache-2.0","stars":91325,"contributors":295,"monthlyDownloads":null,"lastPushedAt":"2026-09-16T03:31:50Z","sources":[{"site":"Hacker News","title":"PaddleOCR, Multilingual OCR Tools","url":"https://news.ycombinator.com/item?id=25622609","date":"2021-01-03"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"modular","name":"Modular Platform (MAX and Mojo)","repo":"modular/modular","githubUrl":"https://github.com/modular/modular","homepage":"https://docs.modular.com/","pageUrl":"/repo/modular","category":"Running AI at scale","tagline":"Open-source parts of Modular's platform: the Mojo programming language and the MAX engine for running AI models.","whatItDoes":["This repository holds the open-source parts of the Modular Platform, which is used to build and run AI models. It has two main pieces.","Mojo is a programming language aimed at fast AI and graphics-card (GPU) programming. MAX is a framework for writing and serving AI models, including a server that accepts requests in the same format as OpenAI's API, so existing apps can switch to it.","Its makers are opening up more of the platform over time. The repository includes the Mojo compiler and standard library, GPU programming tools, model pipelines and examples."],"whoFor":"Developers and engineers who build, speed up or serve AI models.","useWithoutCoding":"Developers only","keywords":["mojo","ai inference","gpu programming","serve models","programming language"],"rating":3.5,"tags":[],"owner":{"name":"Modular Inc","githubUrl":"https://github.com/modular"},"license":"NOASSERTION","stars":29966,"contributors":490,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T06:57:02Z","sources":[{"site":"Hacker News","title":"Mojo: The usability of Python with the performance of C","url":"https://news.ycombinator.com/item?id=35825399","date":"2023-05-05"},{"site":"Hacker News","title":"Mojo changelog: Traits have arrived!","url":"https://news.ycombinator.com/item?id=38521560","date":"2023-12-04"}],"checkedByPerson":false,"cost":null,"runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"ponytail","name":"Ponytail","repo":"DietrichGebert/ponytail","githubUrl":"https://github.com/DietrichGebert/ponytail","homepage":"https://ponytail.dev/","pageUrl":"/repo/ponytail","category":"Add-ons for AI coding tools","tagline":"Makes an AI coding assistant write less, simpler code, without skipping safety checks or tests.","whatItDoes":["Ponytail is a set of instructions (a \"skill\") that you add to an AI coding assistant such as Claude Code, Codex or Cursor. It tells the AI to act like a careful, experienced programmer who prefers the smallest solution that works.","Before writing anything, the AI is told to look at what the project already has and reuse it. For example, instead of adding a whole new date-picker library, it might use the one already built into web browsers. Its makers say it never cuts input checks, error handling, security or accessibility, and that risky logic gets a small test.","It also adds review and audit commands that check changes for bugs, security problems and code that can be removed. In Claude Code, it can show how much each task cost and how long it took."],"whoFor":"Programmers who use AI coding assistants and want shorter, easier-to-maintain code.","useWithoutCoding":"With some setup","keywords":["simpler code","claude code","code review","coding assistant","less code"],"rating":3.5,"tags":["Fast-rising"],"owner":{"name":"DietrichGebert","githubUrl":"https://github.com/DietrichGebert"},"license":"MIT","stars":167087,"contributors":130,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T01:55:14Z","sources":[{"site":"Hacker News","title":"Ponytail – make your AI agent think like the laziest senior dev in the room","url":"https://news.ycombinator.com/item?id=48527946","date":"2026-06-14"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Install it in Claude Code or Codex from the project's plugin marketplace.","For other AI coding assistants, add its instructions file to your project."],"officialDownload":null},{"slug":"fabric","name":"Fabric","repo":"danielmiessler/Fabric","githubUrl":"https://github.com/danielmiessler/Fabric","homepage":"https://danielmiessler.com/p/fabric-origin-story","pageUrl":"/repo/fabric","category":"Everyday tools","tagline":"A library of ready-made AI prompts for everyday tasks, plus a tool to run them on your own text.","whatItDoes":["Fabric is built around \"patterns\": carefully written AI prompts, each for one real-world job, such as summarising an article, pulling key ideas from a video transcript or improving a piece of writing.","You can copy the patterns into any AI chat app. Or you can use Fabric's own command-line tool, which feeds your text or files through a chosen pattern and AI model. It works with many AI providers.","Its makers describe it as a way to fit AI into daily life by organising the prompts that work for you in one place."],"whoFor":"People who reuse the same kinds of AI requests and want good, shareable prompts; comfortable command-line users get the most out of it.","useWithoutCoding":"With some setup","keywords":["prompts","summarize","productivity","command line","prompt library"],"rating":3.5,"tags":[],"owner":{"name":"Daniel Miessler 🛡️","githubUrl":"https://github.com/danielmiessler"},"license":"MIT","stars":44345,"contributors":287,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T20:58:42Z","sources":[{"site":"Hacker News","title":"Fabric is an open-source framework for augmenting humans using AI","url":"https://news.ycombinator.com/item?id=40891507","date":"2024-07-06"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":true,"firstSteps":["Install Fabric with the one-line installer, Homebrew, or a downloaded program file.","Run Fabric's setup and connect an AI provider.","Pick a ready-made pattern, such as a summary, and run it on your own text."],"officialDownload":null},{"slug":"openviking","name":"OpenViking","repo":"volcengine/OpenViking","githubUrl":"https://github.com/volcengine/OpenViking","homepage":"https://openviking.ai/","pageUrl":"/repo/openviking","category":"AI memory","tagline":"Gives AI agents one organised place to store what they know, remember and can do.","whatItDoes":["OpenViking is a memory and knowledge store for AI agents. Instead of hiding memories in a black box, it organises them like folders and files that both the AI and people can open, read and edit.","It keeps three kinds of things together: documents and code, memories such as a user's preferences, and \"skills\" that describe how to do tasks. Each folder gets a short summary, so the AI can check what's relevant before reading the full content. Past conversations can be saved as readable notes.","Its makers report that adding it raised memory scores for several coding agents in their tests. You can try a browser version without installing, or run your own server."],"whoFor":"Developers building AI agents that need to remember users and use large amounts of knowledge.","useWithoutCoding":"Developers only","keywords":["ai memory","knowledge base","agent memory","remember","context"],"rating":3.5,"tags":["Fast-rising"],"owner":{"name":"Volcengine","githubUrl":"https://github.com/volcengine"},"license":"AGPL-3.0","stars":40264,"contributors":298,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:44:03Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud","Web browser"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"adk-python","name":"Agent Development Kit (ADK)","repo":"google/adk-python","githubUrl":"https://github.com/google/adk-python","homepage":"https://google.github.io/adk-docs/","pageUrl":"/repo/adk-python","category":"Developer building blocks","tagline":"Google's Python toolkit for building, testing and deploying AI agents.","whatItDoes":["The Agent Development Kit (ADK) is a code library for building AI agents: programs where an AI model follows instructions, uses tools and carries out tasks. Developers define agents and their tools in Python and can combine several specialised agents into a team.","It includes a workflow engine for laying out step-by-step processes with branches, loops, retries and human approval steps, a built-in web interface for testing and debugging, and tools for measuring how well an agent performs. Finished agents can be packaged and deployed to Google Cloud or elsewhere.","It is tuned for Google's Gemini models but works with others. Versions also exist for Java, Kotlin, Go and TypeScript."],"whoFor":"Developers building AI agents, especially on Google Cloud.","useWithoutCoding":"Developers only","keywords":["ai agents","agent framework","gemini","python","multi-agent"],"rating":3.5,"tags":["Widely used"],"owner":{"name":"Google","githubUrl":"https://github.com/google"},"license":"Apache-2.0","stars":21903,"contributors":594,"monthlyDownloads":10109331,"lastPushedAt":"2026-10-19T01:38:47Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"last30days","name":"/last30days","repo":"mvanhorn/last30days-skill","githubUrl":"https://github.com/mvanhorn/last30days-skill","homepage":null,"pageUrl":"/repo/last30days","category":"Add-ons for AI coding tools","tagline":"Researches what people said about any topic in the last 30 days across Reddit, X, YouTube and more.","whatItDoes":["/last30days is a \"skill\", an add-on for AI assistants such as Claude Code, Codex or Cursor. Ask it about a topic, product or person and it searches recent posts on Reddit, Hacker News, YouTube, X, Polymarket and other sites at once.","It ranks what it finds by how much people engaged with it, then writes one summary. Some sources work right away; others need your own accounts or keys."],"whoFor":"People who want a quick read on recent public discussion of a topic.","useWithoutCoding":"With some setup","keywords":["research","trends","reddit","social media","news summary"],"rating":3.5,"tags":["Fast-rising"],"owner":{"name":"Matt Van Horn","githubUrl":"https://github.com/mvanhorn"},"license":"MIT","stars":64669,"contributors":152,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T20:12:47Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install it as a plugin in Claude Code, or as a skill in another AI coding tool.","Type the last30days command followed by any topic.","Run the setup wizard to add more sources such as X and YouTube."],"officialDownload":null},{"slug":"front-end-checklist","name":"Front-End Checklist","repo":"thedaviddias/Front-End-Checklist","githubUrl":"https://github.com/thedaviddias/Front-End-Checklist","homepage":"https://frontendchecklist.io/","pageUrl":"/repo/front-end-checklist","category":"Add-ons for AI coding tools","tagline":"A checklist of website quality rules that people and AI coding assistants can use to review web pages.","whatItDoes":["Front-End Checklist collects hundreds of best-practice rules for building websites. They cover accessibility, speed, search-engine visibility, security, images, privacy and more. Each rule is ranked from critical to low priority and links to an explanation of how to check and fix it.","You can read it as a plain checklist, browse and filter it on its website, or connect it to an AI coding assistant. The connection uses MCP (Model Context Protocol, a standard way to plug tools into AI assistants), so an assistant can review code or audit a public web page against the rules. Ready-made \"skills\" are also offered for tools that support them."],"whoFor":"Web developers and designers checking a site before launch, and teams that use AI assistants for code review.","useWithoutCoding":"Yes","keywords":["website checklist","accessibility","seo","web development","code review"],"rating":3.5,"tags":[],"owner":{"name":"David Dias","githubUrl":"https://github.com/thedaviddias"},"license":"MIT","stars":74501,"contributors":124,"monthlyDownloads":null,"lastPushedAt":"2026-10-06T12:58:18Z","sources":[{"site":"Hacker News","title":"Front-End Checklist","url":"https://news.ycombinator.com/item?id=15501451","date":"2017-10-18"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Browse the rules on the project's website and filter them by category.","Work through the checklist items that apply to your site or project.","Optionally connect an AI coding assistant to its MCP server to review your code."],"officialDownload":null},{"slug":"awesome-llm-apps","name":"Awesome LLM Apps","repo":"Shubhamsaboo/awesome-llm-apps","githubUrl":"https://github.com/Shubhamsaboo/awesome-llm-apps","homepage":"https://www.theunwindai.com/","pageUrl":"/repo/awesome-llm-apps","category":"Learning resources","tagline":"A large collection of ready-to-run example AI apps and agents you can copy and learn from.","whatItDoes":["This is a library of small AI projects, each in its own folder. Examples include a travel planner, a blog-to-podcast maker, a tool that answers questions about a spreadsheet, and teams of agents (AI helpers that take steps on their own) that research a topic.","There are also \"agent skills\": add-ons that give AI coding assistants new abilities with one command. The projects work with many AI models, including Claude, Gemini, GPT and open-source ones.","Each example comes with its code, so it doubles as a hands-on way to see how AI apps are put together."],"whoFor":"Developers and hobbyists who learn best by running and changing working examples.","useWithoutCoding":"Developers only","keywords":["ai app examples","templates","ai agents","tutorials","projects"],"rating":3.5,"tags":[],"owner":{"name":"Shubham Saboo","githubUrl":"https://github.com/Shubhamsaboo"},"license":"Apache-2.0","stars":142227,"contributors":126,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T16:28:46Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"pytorch-geometric","name":"PyG (PyTorch Geometric)","repo":"pyg-team/pytorch_geometric","githubUrl":"https://github.com/pyg-team/pytorch_geometric","homepage":"https://pyg.org/","pageUrl":"/repo/pytorch-geometric","category":"Developer building blocks","tagline":"A code library for AI that learns from networks of connected things, like social networks or molecules.","whatItDoes":["Some data is best shown as a network, or \"graph\": dots connected by lines. Examples include friends in a social network, papers that cite each other, or atoms in a molecule. PyG is a library for building AI models, called graph neural networks, that learn from this kind of data.","It's built on PyTorch, a popular AI library, and includes many ready-made models from published research. Its makers say a first model takes only 10 to 20 lines of code, and that it can handle very large graphs."],"whoFor":"Researchers and data scientists working with connected data.","useWithoutCoding":"Developers only","keywords":["graph neural network","network data","molecules","pytorch","research"],"rating":3.5,"tags":["Research-backed"],"owner":{"name":"PyG","githubUrl":"https://github.com/pyg-team"},"license":"MIT","stars":24122,"contributors":569,"monthlyDownloads":null,"lastPushedAt":"2026-10-06T01:41:35Z","sources":[{"site":"Research paper","title":"PyG 1.0 paper","url":"https://arxiv.org/abs/1903.02428","date":"2019-03-01"},{"site":"Research paper","title":"PyG 2.0 paper","url":"https://arxiv.org/abs/2507.16991","date":"2025-07-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"ai-agents-for-beginners","name":"AI Agents for Beginners","repo":"microsoft/ai-agents-for-beginners","githubUrl":"https://github.com/microsoft/ai-agents-for-beginners","homepage":"https://aka.ms/ai-agents-beginners","pageUrl":"/repo/ai-agents-for-beginners","category":"Learning resources","tagline":"A free course of short lessons and videos on how to build AI agents.","whatItDoes":["This is a free course from Microsoft that teaches the basics of building AI agents, meaning AI that can plan and take actions rather than just answer questions. Each lesson stands on its own, so you can start wherever you like.","Every lesson has a written explanation, a short video, Python code examples and links for further learning. Topics start with what agents are and how agent frameworks compare, then move on to more advanced patterns.","The code examples use Microsoft's own agent tools and services, which need an Azure account, though some samples also work with other providers. The course is translated into many languages."],"whoFor":"Beginners and developers who want a structured introduction to AI agents.","useWithoutCoding":"Yes","keywords":["course","ai agents","beginner","tutorial","free lessons"],"rating":3.5,"tags":[],"owner":{"name":"Microsoft","githubUrl":"https://github.com/microsoft"},"license":"MIT","stars":77420,"contributors":116,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T00:41:32Z","sources":[{"site":"Hacker News","title":"Lessons to Get Started Building AI Agents","url":"https://news.ycombinator.com/item?id=44460800","date":"2025-07-04"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["To run the code examples, make your own copy and follow the course setup guide.","The code examples need a Microsoft Azure account."],"officialDownload":null},{"slug":"apache-tvm","name":"Apache TVM","repo":"apache/tvm","githubUrl":"https://github.com/apache/tvm","homepage":"https://tvm.apache.org/","pageUrl":"/repo/apache-tvm","category":"Developer building blocks","tagline":"A toolkit that turns trained AI models into compact programs that run efficiently on many kinds of hardware.","whatItDoes":["Apache TVM is a machine learning compiler. A compiler is software that translates a program into a form a particular computer chip can run quickly. TVM does this for AI models, so the same model can be packaged to run on different devices.","Its makers say it is designed so engineers can customise each step in Python, and that it can serve as a foundation for building specialised compilers, for example for large language models.","It started as a research project on deep learning compilation and is now run by the Apache open-source community."],"whoFor":"Engineers and researchers who need AI models to run fast on specific hardware. It is not an app for everyday users.","useWithoutCoding":"Developers only","keywords":["machine learning compiler","speed up ai models","deploy models","gpu","hardware"],"rating":3.5,"tags":["New this week"],"owner":{"name":"The Apache Software Foundation","githubUrl":"https://github.com/apache"},"license":"Apache-2.0","stars":13846,"contributors":1195,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T18:37:26Z","sources":[{"site":"Hacker News","title":"Apache TVM Unity: a vision for the ML software and hardware ecosystem in 2022","url":"https://news.ycombinator.com/item?id=29584336","date":"2021-12-16"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"unsloth","name":"Unsloth","repo":"unslothai/unsloth","githubUrl":"https://github.com/unslothai/unsloth","homepage":"https://unsloth.ai/docs","pageUrl":"/repo/unsloth","category":"Training & fine-tuning","tagline":"A desktop app for running AI models on your own computer and training them on your own data.","whatItDoes":["Unsloth is a desktop app for Windows, Mac and Linux that runs open AI models on your own computer, including chat, image, audio and video models. You can chat with them, connect them to coding tools like Claude Code, search the web, and reach your models from other devices on your home network.","Its main strength is fine-tuning: teaching an existing model new skills using your own examples. Its makers say it trains models about twice as fast while using much less graphics-card memory, without losing accuracy. It can also build training data from PDFs, spreadsheets and Word files, and export finished models in common formats.","Besides the desktop app, there is a web interface and a Python library for programmers."],"whoFor":"Hobbyists and developers who want to run AI privately or adapt models to their own tasks.","useWithoutCoding":"Yes","keywords":["fine-tune","train ai","local ai","desktop app","custom model"],"rating":3.5,"tags":[],"owner":{"name":"Unsloth AI","githubUrl":"https://github.com/unslothai"},"license":"Apache-2.0","stars":78230,"contributors":416,"monthlyDownloads":885608,"lastPushedAt":"2026-10-19T01:48:22Z","sources":[{"site":"Hacker News","title":"Show HN: 80% faster, 50% less memory, 0% loss of accuracy Llama finetuning","url":"https://news.ycombinator.com/item?id=38487199","date":"2023-12-01"},{"site":"Hacker News","title":"Unsloth: 80% faster, 50% less memory, 0% accuracy loss Llama finetuning","url":"https://news.ycombinator.com/item?id=38492652","date":"2023-12-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Linux","Mac","Web browser"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download Unsloth Desktop for your computer from the Unsloth website or GitHub releases.","Open the app to run AI models on your own computer.","Train a model on your own data, built from files such as PDFs or spreadsheets."],"officialDownload":"https://unsloth.ai/download"},{"slug":"daily-stock-analysis","name":"Daily Stock Analysis","repo":"ZhuLinsen/daily_stock_analysis","githubUrl":"https://github.com/ZhuLinsen/daily_stock_analysis","homepage":"https://dsa.zhulinsen.tech/","pageUrl":"/repo/daily-stock-analysis","category":"Finance & trading","tagline":"Uses AI to write a daily report on stocks you follow and sends it to your chat app or email.","whatItDoes":["Daily Stock Analysis is a system that uses AI language models to analyse a list of stocks you pick. It covers markets in mainland China, Hong Kong, the US, Japan, Korea and Taiwan.","It gathers price data, technical indicators, news and company information, then produces a \"decision dashboard\" report with a summary, a score, trends and risk warnings. It can send the report to WeCom, Feishu, Telegram, Discord, Slack or email, and there's a web interface for asking follow-up questions.","Its makers say it can run on a schedule for free using GitHub Actions, and it works with several AI providers or local models. They state it is for learning and research only and is not investment advice."],"whoFor":"People interested in the stock market who want automated AI-written summaries of shares they follow.","useWithoutCoding":"With some setup","keywords":["stocks","stock market","daily report","investing research","news summary"],"rating":3.5,"tags":["Fast-rising","Research-backed"],"owner":{"name":"zhulinsen","githubUrl":"https://github.com/ZhuLinsen"},"license":"MIT","stars":66703,"contributors":133,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T11:54:29Z","sources":[{"site":"Research paper","title":"Research paper linked from the README","url":"https://arxiv.org/abs/2608.26990","date":"2026-08-01"}],"checkedByPerson":true,"cost":"Free, but needs an AI account","runsOn":["Cloud","Server"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Make your own copy (a fork) of the project on GitHub.","In your copy's settings, add an AI service API key, a notification channel and your list of stocks.","Turn on GitHub Actions so the report runs automatically every weekday."],"officialDownload":null},{"slug":"activepieces","name":"Activepieces","repo":"activepieces/activepieces","githubUrl":"https://github.com/activepieces/activepieces","homepage":"https://www.activepieces.com/","pageUrl":"/repo/activepieces","category":"App builders & workflows","tagline":"Build automations that connect your apps and AI, with a visual builder instead of code.","whatItDoes":["Activepieces is an open-source tool for automating tasks between apps, similar to Zapier. You build \"flows\" in a visual editor with steps, loops and branches, connecting services like Google Sheets, OpenAI and Discord.","It includes AI steps and lets you build AI agents inside your flows. Every integration (\"piece\") can also be used as an MCP server, a standard way for AI apps like Claude Desktop or Cursor to use outside tools.","Flows can pause for a person's approval, and it can be self-hosted to keep control of your data."],"whoFor":"Businesses and individuals who want to automate routine work across apps, with or without coding skills.","useWithoutCoding":"With some setup","keywords":["automation","zapier alternative","workflows","ai agents","integrations"],"rating":3.5,"tags":[],"owner":{"name":"Activepieces","githubUrl":"https://github.com/activepieces"},"license":"NOASSERTION","stars":25101,"contributors":500,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:05:59Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Web browser"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Follow the deploy guide on the project's website to install your own copy.","Use the visual builder to connect your apps and build automations without code."],"officialDownload":"https://www.activepieces.com/docs/install/overview"},{"slug":"onnx","name":"ONNX","repo":"onnx/onnx","githubUrl":"https://github.com/onnx/onnx","homepage":"https://onnx.ai/","pageUrl":"/repo/onnx","category":"Developer building blocks","tagline":"A shared file format for AI models, so a model built with one tool can run in many others.","whatItDoes":["ONNX, the Open Neural Network Exchange, is an open standard for saving AI models. It defines a common way to describe a model and the operations it uses.","Because many frameworks, tools and hardware makers support it, developers can build a model in one tool and run it somewhere else. The current focus is on running trained models to get answers, known as inference.","The project provides a Python package, documentation, tutorials and a collection of pre-trained models."],"whoFor":"AI developers and engineers who move models between tools or deploy them on different hardware.","useWithoutCoding":"Developers only","keywords":["ai model format","convert models","interoperability","deep learning"],"rating":3.5,"tags":["Widely used"],"owner":{"name":"Open Neural Network Exchange","githubUrl":"https://github.com/onnx"},"license":"Apache-2.0","stars":21601,"contributors":443,"monthlyDownloads":13120943,"lastPushedAt":"2026-10-19T00:31:46Z","sources":[{"site":"Hacker News","title":"Show HN: Open-source Deep Research across workplace applications","url":"https://news.ycombinator.com/item?id=43242551","date":"2025-03-03"},{"site":"Hacker News","title":"ONNX: The Open Standard for Seamless Machine Learning Interoperability","url":"https://news.ycombinator.com/item?id=41256692","date":"2024-08-15"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"invoke","name":"Invoke","repo":"invoke-ai/InvokeAI","githubUrl":"https://github.com/invoke-ai/InvokeAI","homepage":"https://invoke-ai.github.io/InvokeAI/","pageUrl":"/repo/invoke","category":"Images & video","tagline":"A creative app for making and editing AI images on your own computer, with a canvas, workflows and gallery.","whatItDoes":["Invoke is an app for creating pictures with AI image models such as Stable Diffusion and Flux. You type a description and it makes an image, then you can refine and change it.","Its canvas lets you paint over parts of an image to change them, or extend a picture beyond its edges. A node-based workflow editor lets you build and share your own step-by-step image recipes, and a gallery keeps your work organised.","It runs on your own computer through a web page in your browser. You get started by downloading the Invoke Launcher."],"whoFor":"Artists, designers and hobbyists who want a full-featured AI image tool they run themselves.","useWithoutCoding":"Yes","keywords":["ai art","image generator","stable diffusion","flux","inpainting"],"rating":3.5,"tags":[],"owner":{"name":"Invoke","githubUrl":"https://github.com/invoke-ai"},"license":"Apache-2.0","stars":28743,"contributors":410,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:34:34Z","sources":[{"site":"Hacker News","title":"Show HN: InvokeAI, an open source Stable Diffusion toolkit and WebUI","url":"https://news.ycombinator.com/item?id=33155074","date":"2022-10-10"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the Invoke Launcher from its official releases page.","Use the launcher to install Invoke on your computer.","Open Invoke and start generating and editing images on the canvas."],"officialDownload":"https://github.com/invoke-ai/launcher/releases/latest"},{"slug":"archify","name":"Archify","repo":"tt-a1i/archify","githubUrl":"https://github.com/tt-a1i/archify","homepage":"https://archify.si/","pageUrl":"/repo/archify","category":"Add-ons for AI coding tools","tagline":"Ask your AI assistant to turn an idea, plan or codebase into an interactive diagram or one-page explainer.","whatItDoes":["Archify is a \"skill\", a set of instructions you add to an AI agent such as Claude Code, Cursor, Codex or OpenCode. You describe something in plain words, like how a website handles a request or a travel plan, and the agent produces an interactive web page with a diagram you can explore.","You can keep refining it by chatting: add a step, highlight a path or switch to a light theme. It can also read a software project and draw its structure, with links back to the source code.","Another mode builds an \"explainer\": the answer first, then one panel per question with tables, steps, charts and diagrams. Results are a single HTML file you can share or export as an image or PDF."],"whoFor":"Developers, architects, teachers and anyone who explains systems or plans and already uses an AI coding agent.","useWithoutCoding":"With some setup","keywords":["diagram","flowchart","architecture","visualize","explainer"],"rating":3.5,"tags":["Fast-rising"],"owner":{"name":"tt-a1i","githubUrl":"https://github.com/tt-a1i"},"license":"MIT","stars":85427,"contributors":93,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:05:49Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Install the Archify skill into Cursor, Claude Code, Codex or OpenCode.","Describe your idea, plan or system to your AI agent.","Open the interactive page it creates, then ask for changes."],"officialDownload":null},{"slug":"context7","name":"Context7","repo":"upstash/context7","githubUrl":"https://github.com/upstash/context7","homepage":"https://context7.com/","pageUrl":"/repo/context7","category":"Add-ons for AI coding tools","tagline":"Feeds your AI coding assistant current documentation for the software libraries you use, so its answers aren't out of date.","whatItDoes":["AI models learn from data that can be a year or more old, so they sometimes suggest outdated code or invent functions that don't exist. Context7 fixes this by fetching up-to-date, version-specific documentation and code examples and handing them to your coding assistant.","You add \"use context7\" to a request, or set a rule so it happens automatically, and the assistant looks up the right library before answering. You can also name an exact library or version.","It can be set up as a skill that uses a small command-line tool, or as an MCP server, a standard way to give AI assistants new tools. A free account key gives higher usage limits."],"whoFor":"Programmers who use AI coding assistants such as Cursor or Claude Code.","useWithoutCoding":"With some setup","keywords":["documentation","coding assistant","up to date","mcp","cursor"],"rating":3.5,"tags":[],"owner":{"name":"Upstash","githubUrl":"https://github.com/upstash"},"license":"MIT","stars":63261,"contributors":139,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T14:44:22Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Make sure Node.js is installed on your computer.","Run Context7's one-line setup, which signs you in and adds it to your coding assistant.","Add the words use context7 to a prompt to pull in current documentation."],"officialDownload":null},{"slug":"pydantic-ai","name":"Pydantic AI","repo":"pydantic/pydantic-ai","githubUrl":"https://github.com/pydantic/pydantic-ai","homepage":"https://pydantic.dev/pydantic-ai","pageUrl":"/repo/pydantic-ai","category":"Developer building blocks","tagline":"A Python toolkit for building dependable AI agents and features that work with almost any AI model.","whatItDoes":["Pydantic AI is a code library for adding AI to Python programs. Developers build an \"agent\", an AI model with instructions and tools, and can switch between AI providers by changing one line. It checks that the AI's answers come back in exactly the shape the program expects, which helps prevent errors.","The same agent can run behind a website, in a terminal, on a live voice call, in a background job that survives crashes, or in GitHub Actions. It also covers image generation and embeddings (number-based representations of meaning used for search).","Companion projects add memory, guardrails, a full coding agent and tools for grading an agent's results. Pydantic also offers paid monitoring and model-gateway services."],"whoFor":"Python developers building AI features or agents.","useWithoutCoding":"Developers only","keywords":["ai agents","python","llm","structured output","ai framework"],"rating":3.5,"tags":[],"owner":{"name":"Pydantic","githubUrl":"https://github.com/pydantic"},"license":"MIT","stars":20715,"contributors":632,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T19:36:03Z","sources":[{"site":"Hacker News","title":"MCP Run Python","url":"https://news.ycombinator.com/item?id=43691230","date":"2025-04-15"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"deeptutor","name":"DeepTutor","repo":"HKUDS/DeepTutor","githubUrl":"https://github.com/HKUDS/DeepTutor","homepage":"http://arxiv.org/abs/2604.26962","pageUrl":"/repo/deeptutor","category":"Documents & knowledge","tagline":"An AI tutor that learns about you and helps you study from your own books and documents.","whatItDoes":["DeepTutor is a personal AI tutoring system. You add learning materials, such as documents, e-books or videos, and it helps you study them through chat, guided reading with page-by-page citations, quizzes and practice questions.","Its updates describe features such as learning paths, generated study \"books\", courses, daily practice and a learning journal. It keeps a memory of your progress so its help can be more personal over time, and works with many AI model providers.","It comes from a university research group, which has published a research paper about it."],"whoFor":"Students and lifelong learners, and educators interested in AI tutoring.","useWithoutCoding":"With some setup","keywords":["ai tutor","study","learning","quizzes","homework help"],"rating":3.5,"tags":["Fast-rising","Research-backed"],"owner":{"name":"✨Data Intelligence Lab@HKU✨","githubUrl":"https://github.com/HKUDS"},"license":"Apache-2.0","stars":41648,"contributors":243,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T20:13:22Z","sources":[{"site":"Research paper","title":"DeepTutor: Lifelong Personalized Tutoring","url":"https://arxiv.org/abs/2604.26962","date":"2026-04-01"},{"site":"Hacker News","title":"Successful room temperature ambient-pressure magnetic levitation of LK-99","url":"https://news.ycombinator.com/item?id=36994214","date":"2023-08-04"},{"site":"Hacker News","title":"The first room-temperature ambient-pressure superconductor?","url":"https://news.ycombinator.com/item?id=36864624","date":"2023-07-25"}],"checkedByPerson":false,"cost":null,"runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"weknora","name":"WeKnora","repo":"Tencent/WeKnora","githubUrl":"https://github.com/Tencent/WeKnora","homepage":"https://weknora.weixin.qq.com/","pageUrl":"/repo/weknora","category":"Documents & knowledge","tagline":"Turns a team's documents into a searchable knowledge base that AI can answer questions from.","whatItDoes":["WeKnora gathers a team's documents so AI can search them, reason over them and keep them organized. It offers three ways to work: ask questions answered from your documents, hand multi-step tasks to an AI agent, or organize knowledge as a wiki.","It can sync from tools such as Confluence, Notion and Feishu, reads more than ten file types, and can answer questions inside chat apps like Slack, Telegram and WeCom. It supports many AI model providers, including local models through Ollama.","It can be deployed on your own servers so the data stays in your environment, and it includes team permissions and audit logs."],"whoFor":"Companies and teams who want a private, AI-powered knowledge base.","useWithoutCoding":"With some setup","keywords":["knowledge base","company wiki","document search","ask documents"],"rating":3.5,"tags":[],"owner":{"name":"Tencent","githubUrl":"https://github.com/Tencent"},"license":"NOASSERTION","stars":34616,"contributors":305,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T15:09:17Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Server","Cloud"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Use the online WeChat platform, or set WeKnora up on your own server with Docker.","Open it in your web browser and follow the onboarding guide.","Choose an AI model, either from an online provider or one running locally."],"officialDownload":null},{"slug":"awesome-data-science","name":"Awesome Data Science","repo":"academic/awesome-datascience","githubUrl":"https://github.com/academic/awesome-datascience","homepage":null,"pageUrl":"/repo/awesome-data-science","category":"Learning resources","tagline":"A big, organized list of free courses, tools, books and communities for learning data science.","whatItDoes":["This is a curated list to help people start learning data science, the practice of analyzing data to find patterns and make predictions. It begins with \"what is data science?\" and \"where do I start?\"","It links to tutorials, free courses, college programs, machine-learning and deep-learning tools, books, podcasts, newsletters, YouTube channels, datasets and online communities."],"whoFor":"Beginners and career-changers who want a guided starting point in data science and machine learning.","useWithoutCoding":"Yes","keywords":["data science","learn machine learning","free courses","resources"],"rating":3.5,"tags":[],"owner":{"name":"Academic.io","githubUrl":"https://github.com/academic"},"license":"MIT","stars":30207,"contributors":367,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T10:08:53Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the list on GitHub and start with its 'Where do I Start?' section.","Pick a free course or tutorial from the list that matches your level."],"officialDownload":null},{"slug":"copilotkit","name":"CopilotKit","repo":"CopilotKit/CopilotKit","githubUrl":"https://github.com/CopilotKit/CopilotKit","homepage":"https://docs.copilotkit.ai/","pageUrl":"/repo/copilotkit","category":"Developer building blocks","tagline":"Ready-made pieces for adding AI assistants and chat to web, mobile and team apps.","whatItDoes":["CopilotKit gives app builders components for putting an AI agent in front of users: a chat window, screens the AI can create on the fly, and steps where the AI pauses to ask a person to confirm.","The same agent can appear in a website, a mobile app, Slack or Microsoft Teams. Its makers also created AG-UI, an open standard for how agents talk to app screens."],"whoFor":"Software developers adding AI assistants to their products.","useWithoutCoding":"Developers only","keywords":["ai assistant","chatbot","react","copilot","app development"],"rating":3.5,"tags":[],"owner":{"name":"CopilotKit","githubUrl":"https://github.com/CopilotKit"},"license":"MIT","stars":38096,"contributors":266,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T16:57:30Z","sources":[{"site":"Hacker News","title":"Show HN: CopilotKit- Build in-app AI chatbots and AI-powered textareas","url":"https://news.ycombinator.com/item?id=38545207","date":"2023-12-06"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"apache-doris","name":"Apache Doris","repo":"apache/doris","githubUrl":"https://github.com/apache/doris","homepage":"https://doris.apache.org/","pageUrl":"/repo/apache-doris","category":"Running AI at scale","tagline":"A fast database for analysing large amounts of data, with search features for AI apps and agents.","whatItDoes":["Apache Doris is a database built to answer questions about very large amounts of data quickly, often in under a second, even while new data keeps arriving. Companies use this kind of database for reports, dashboards and analysing logs.","For AI, it can search by exact values, by words in text, and by meaning (\"vector search\", which AI apps use to find similar content), all in one place using the standard SQL database language. It can also query data stored in other common formats without moving it."],"whoFor":"Data engineers and companies running large-scale analytics or AI search.","useWithoutCoding":"Developers only","keywords":["database","analytics","vector search","sql","big data"],"rating":3.5,"tags":[],"owner":{"name":"The Apache Software Foundation","githubUrl":"https://github.com/apache"},"license":"Apache-2.0","stars":16096,"contributors":848,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:59:27Z","sources":[{"site":"Hacker News","title":"A LLM+OLAP Solution","url":"https://news.ycombinator.com/item?id=37466182","date":"2023-09-11"},{"site":"Hacker News","title":"Apache Doris: open-source data warehouse for real time data analytics","url":"https://news.ycombinator.com/item?id=41957728","date":"2024-10-26"}],"checkedByPerson":false,"cost":"Free","runsOn":["Server"],"hardware":"Made for servers or data centres","privacy":null,"needsApiKey":false,"firstSteps":["Download Apache Doris from the project's official website.","Follow the Quick Start guide in its documentation to set it up."],"officialDownload":"https://doris.apache.org/download"},{"slug":"bmad-method","name":"BMad Method","repo":"bmad-code-org/BMAD-METHOD","githubUrl":"https://github.com/bmad-code-org/BMAD-METHOD","homepage":null,"pageUrl":"/repo/bmad-method","category":"Add-ons for AI coding tools","tagline":"A step-by-step method and set of AI helpers for planning and building software with coding assistants.","whatItDoes":["BMad Method is a way of building software with AI coding tools while keeping people in charge of the key decisions. It provides a set of AI \"agents\" and workflows that help you define what to build, plan it, build it and review it.","Its makers say it sizes the process to the job: small changes go straight to building, while bigger projects get more planning. Decisions are saved so they carry into later work instead of being re-explained in every chat.","Extra modules cover areas such as creative brainstorming, testing and game development."],"whoFor":"Software developers and small teams who use AI coding assistants on new or existing projects.","useWithoutCoding":"Developers only","keywords":["software planning","ai development","agile","claude code","spec"],"rating":3.5,"tags":[],"owner":{"name":"BMad Code Org","githubUrl":"https://github.com/bmad-code-org"},"license":"NOASSERTION","stars":54306,"contributors":161,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:13:07Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install Node.js, Python and the uv tool on your computer.","Add BMad to your project with its installer.","Open the project in your AI coding tool and ask BMad to build the change you want."],"officialDownload":null},{"slug":"codexbar","name":"CodexBar","repo":"steipete/CodexBar","githubUrl":"https://github.com/steipete/CodexBar","homepage":"https://codex.bar/","pageUrl":"/repo/codexbar","category":"Add-ons for AI coding tools","tagline":"A small menu-bar app that shows how much of your AI coding tools' usage limits you have left.","whatItDoes":["AI coding services like Codex and Claude Code have usage limits that reset over time. CodexBar sits in the Mac menu bar and shows each provider's remaining usage and when it resets.","It can also show credits, spending and service outages. Its makers say it reuses your existing sign-ins, so it doesn't store passwords. A Linux version is also available."],"whoFor":"People who use several AI coding services and want to keep an eye on limits.","useWithoutCoding":"Yes","keywords":["usage limits","menu bar","codex","claude code","mac app"],"rating":3.5,"tags":["Fast-rising"],"owner":{"name":"Peter Steinberger","githubUrl":"https://github.com/steipete"},"license":"MIT","stars":22634,"contributors":523,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:17:46Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Open Settings, then Providers, and turn on the AI tools you use.","Sign in to each provider so CodexBar can show your usage."],"officialDownload":"https://github.com/steipete/CodexBar/releases"},{"slug":"cowagent","name":"CowAgent","repo":"zhayujie/CowAgent","githubUrl":"https://github.com/zhayujie/CowAgent","homepage":"https://cowagent.ai/","pageUrl":"/repo/cowagent","category":"AI agents","tagline":"A personal AI assistant that plans tasks, uses tools and remembers things, reachable from the web and chat apps.","whatItDoes":["CowAgent is an AI assistant you run on your own computer or server. It breaks big tasks into steps and uses tools such as files, a terminal, a web browser, web search and a scheduler to get them done.","It keeps long-term memory and builds a personal knowledge base. Its makers say it reviews past conversations to improve its skills and follow up on unfinished tasks. You can also set up a team of agents, each with its own role and model.","You can reach it through a web console and apps such as WeChat, Feishu, DingTalk, Telegram and Slack. It works with many AI models, including Claude, GPT, Gemini, DeepSeek and Qwen."],"whoFor":"People who want an always-on personal AI helper, especially users of Chinese chat apps.","useWithoutCoding":"Yes","keywords":["personal assistant","wechat bot","memory","multi-agent","telegram"],"rating":3.5,"tags":[],"owner":{"name":"zhayujie","githubUrl":"https://github.com/zhayujie"},"license":"MIT","stars":47458,"contributors":190,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T09:57:47Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux","Server","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Download the CowAgent desktop app for Mac or Windows, or use the one-line installer.","Open the web console in your browser.","Add your AI model provider, then start chatting with the agent."],"officialDownload":"https://cowagent.ai/download/"},{"slug":"ggml","name":"ggml","repo":"ggml-org/ggml","githubUrl":"https://github.com/ggml-org/ggml","homepage":"https://github.com/ggml-org","pageUrl":"/repo/ggml","category":"Developer building blocks","tagline":"A small, fast core library for running AI models efficiently on many kinds of computers.","whatItDoes":["ggml is a low-level library that does the heavy number-crunching AI models need. A \"tensor\" is just a large grid of numbers, and ggml works with these efficiently.","It is written in plain C/C++ with no other dependencies and runs on many types of chips and in web browsers. It supports \"quantization\", shrinking models so they fit on ordinary hardware.","It defines the GGUF file format for AI models and is closely tied to llama.cpp, where changes to the core library are developed."],"whoFor":"Low-level programmers building tools that run AI models on local hardware.","useWithoutCoding":"Developers only","keywords":["run ai locally","gguf","quantization","c library","llama.cpp"],"rating":3.5,"tags":[],"owner":{"name":"ggml","githubUrl":"https://github.com/ggml-org"},"license":"MIT","stars":15500,"contributors":862,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T13:14:12Z","sources":[{"site":"Hacker News","title":"Ggml.ai joins Hugging Face to ensure the long-term progress of Local AI","url":"https://news.ycombinator.com/item?id=47088037","date":"2026-02-20"},{"site":"Hacker News","title":"Vision Now Available in Llama.cpp","url":"https://news.ycombinator.com/item?id=43943047","date":"2025-05-10"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"voicestudio","name":"VoiceStudio","repo":"debpalash/VoiceStudio","githubUrl":"https://github.com/debpalash/VoiceStudio","homepage":"https://voicestudio.sh/","pageUrl":"/repo/voicestudio","category":"Speech & audio","tagline":"A desktop app for cloning voices, dubbing videos, dictation, transcripts and audiobooks on your own computer.","whatItDoes":["VoiceStudio is a desktop app that brings many voice tools together. You can copy a voice from a short, clean recording, design a new voice, turn text into speech, and dub a video with timed speech in another language.","It can also type what you say through a small floating dictation window, write out transcripts, and build stories and audiobooks. Its makers say it covers hundreds of languages, runs on your own hardware, and only uses online services if you choose to. Usage analytics are only collected with your consent.","It works best with an NVIDIA graphics card or an Apple Silicon Mac, but can also run more slowly on an ordinary computer's processor. It offers a local connection that other apps and AI assistants can use."],"whoFor":"Video makers, podcasters, writers and anyone who wants private voice tools without an online subscription.","useWithoutCoding":"Yes","keywords":["voice cloning","text to speech","dubbing","audiobook","dictation","elevenlabs alternative"],"rating":3.5,"tags":["Fast-rising"],"owner":{"name":"Palash Debnath","githubUrl":"https://github.com/debpalash"},"license":"AGPL-3.0","stars":75486,"contributors":100,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T21:56:49Z","sources":[],"checkedByPerson":true,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Download the installer for your computer from the project's releases page.","Open Voice cloning, choose a voice or add a clean recording, and type your text.","Install the required model when prompted, then generate the audio."],"officialDownload":"https://github.com/debpalash/VoiceStudio/releases/latest"},{"slug":"codebase-memory-mcp","name":"codebase-memory-mcp","repo":"DeusData/codebase-memory-mcp","githubUrl":"https://github.com/DeusData/codebase-memory-mcp","homepage":"https://deusdata.github.io/codebase-memory-mcp/","pageUrl":"/repo/codebase-memory-mcp","category":"Add-ons for AI coding tools","tagline":"Gives AI coding assistants a map of your code so they find things faster and use fewer tokens.","whatItDoes":["This tool builds a \"knowledge graph\" of a code project: a map of which files and functions exist and how they connect. It runs on your own computer.","AI coding assistants such as Claude Code and Codex can then search that map instead of opening file after file. It plugs in through MCP, a standard way to connect tools to AI assistants. Its makers report large savings in tokens, the units AI services charge by.","A browser view lets you explore the structure of a codebase visually, which its makers say helps when getting to know unfamiliar or AI-written code."],"whoFor":"Programmers working with AI coding assistants on medium or large codebases.","useWithoutCoding":"Developers only","keywords":["code search","coding assistant","save tokens","code map","mcp"],"rating":3.5,"tags":["Fast-rising","Research-backed"],"owner":{"name":"Martin Vogel","githubUrl":"https://github.com/DeusData"},"license":"MIT","stars":46863,"contributors":189,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:24:43Z","sources":[{"site":"Research paper","title":"codebase-memory-mcp preprint","url":"https://arxiv.org/abs/2603.27277","date":"2026-03-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Run the installer for your system, or download it from the project's releases page.","Restart your AI coding assistant so it picks up the new tool.","Ask the assistant to index your project."],"officialDownload":"https://github.com/DeusData/codebase-memory-mcp/releases"},{"slug":"torchvision","name":"torchvision","repo":"pytorch/vision","githubUrl":"https://github.com/pytorch/vision","homepage":"https://pytorch.org/vision","pageUrl":"/repo/torchvision","category":"Developer building blocks","tagline":"Ready-made image datasets, models and photo tools for building computer-vision AI with PyTorch.","whatItDoes":["torchvision is a companion library to PyTorch for computer vision, the area of AI that works with images. It bundles popular image datasets, well-known model designs and common image adjustments like resizing and cropping.","Its makers note that it only downloads public datasets and doesn't host them, and that users must check they have permission to use each dataset and pre-trained model."],"whoFor":"Programmers and researchers building AI that works with images.","useWithoutCoding":"Developers only","keywords":["computer vision","image recognition","pytorch","datasets"],"rating":3.5,"tags":[],"owner":{"name":"pytorch","githubUrl":"https://github.com/pytorch"},"license":"BSD-3-Clause","stars":17960,"contributors":694,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T11:36:44Z","sources":[{"site":"Hacker News","title":"Deep Learning with PyTorch: A 60 Minute Blitz [video]","url":"https://news.ycombinator.com/item?id=21240057","date":"2019-10-13"},{"site":"Hacker News","title":"PyTorch 2.0","url":"https://news.ycombinator.com/item?id=35174612","date":"2023-03-15"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"chrome-devtools-mcp","name":"Chrome DevTools for agents","repo":"ChromeDevTools/chrome-devtools-mcp","githubUrl":"https://github.com/ChromeDevTools/chrome-devtools-mcp","homepage":"https://developer.chrome.com/docs/devtools/agents","pageUrl":"/repo/chrome-devtools-mcp","category":"Add-ons for AI coding tools","tagline":"Lets an AI coding assistant open and control Chrome to test, debug and measure the speed of websites.","whatItDoes":["This add-on connects AI coding assistants, such as Claude, Cursor or Copilot, to Chrome DevTools, the built-in toolkit web developers use to inspect websites. It works over MCP, a standard way to plug new abilities into AI assistants.","With it, the AI can open pages, click around, take screenshots, read error messages, check network requests and record performance traces to explain why a page is slow.","Its makers note that the AI can see and change anything in the browser it controls, so you should avoid using it with personal information. Usage statistics are sent to Google by default, with an option to turn this off."],"whoFor":"Web developers who use AI coding assistants.","useWithoutCoding":"Developers only","keywords":["chrome","browser testing","debugging","web performance","mcp"],"rating":3.5,"tags":[],"owner":{"name":"ChromeDevTools","githubUrl":"https://github.com/ChromeDevTools"},"license":"Apache-2.0","stars":53806,"contributors":149,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T06:48:01Z","sources":[{"site":"Hacker News","title":"ChromeDevTools/Chrome-devtools-MCP: Chrome DevTools for coding agents","url":"https://news.ycombinator.com/item?id=45401756","date":"2025-09-28"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install Node.js and the current version of Chrome.","Add the provided settings to your AI coding assistant's tool configuration.","Ask your assistant to check a website's performance to test that it works."],"officialDownload":null},{"slug":"jan","name":"Jan","repo":"janhq/jan","githubUrl":"https://github.com/janhq/jan","homepage":"https://jan.ai/","pageUrl":"/repo/jan","category":"Run AI on your computer","tagline":"A desktop app for chatting with AI models that run privately on your own computer.","whatItDoes":["Jan is a desktop app that works like ChatGPT, but can run AI models directly on your own computer. You download a model from inside the app and start chatting, and your conversations can stay on your machine.","If you prefer, it can also connect to online models from OpenAI, Anthropic, Mistral and others. You can create custom assistants for particular tasks.","It also runs a local server that other apps can use, and supports MCP, a standard way to plug tools into AI apps."],"whoFor":"Anyone who wants a private, offline-capable AI chat app without technical setup.","useWithoutCoding":"Yes","keywords":["chatgpt alternative","offline","private","desktop app","local ai"],"rating":3.5,"tags":[],"owner":{"name":"Jan","githubUrl":"https://github.com/janhq"},"license":"NOASSERTION","stars":45004,"contributors":185,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T10:22:30Z","sources":[{"site":"Hacker News","title":"Jan: An open source alternative to ChatGPT that runs on the desktop","url":"https://news.ycombinator.com/item?id=39782876","date":"2024-03-21"},{"site":"Hacker News","title":"Nitro: A fast, lightweight inference server with OpenAI-Compatible API","url":"https://news.ycombinator.com/item?id=38887531","date":"2024-01-06"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download Jan for Windows, Mac or Linux from its website.","Download an AI model inside the app, or connect an online provider."],"officialDownload":"https://jan.ai/"},{"slug":"colossal-ai","name":"Colossal-AI","repo":"hpcaitech/ColossalAI","githubUrl":"https://github.com/hpcaitech/ColossalAI","homepage":"https://www.colossalai.org/","pageUrl":"/repo/colossal-ai","category":"Training & fine-tuning","tagline":"Software for training and running very large AI models across many graphics cards at lower cost.","whatItDoes":["Big AI models are too large for one computer chip, so their work has to be split across many. Colossal-AI provides ready-made ways to do this splitting, so researchers can write code much like they would for a single laptop.","It supports several splitting methods and memory-saving tricks, and its makers say it makes large models cheaper, faster and more accessible to train and run.","The project has been used to build related work, including Open-Sora (video generation) and ColossalChat (a ChatGPT-style training pipeline)."],"whoFor":"AI researchers and engineers training or fine-tuning large models on clusters of GPUs.","useWithoutCoding":"Developers only","keywords":["train large models","distributed training","gpu","fine-tuning"],"rating":3.5,"tags":["Research-backed"],"owner":{"name":"HPC-AI Tech","githubUrl":"https://github.com/hpcaitech"},"license":"Apache-2.0","stars":41431,"contributors":202,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T12:13:52Z","sources":[{"site":"Research paper","title":"Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training","url":"https://arxiv.org/abs/2110.14883","date":"2021-10-01"},{"site":"Hacker News","title":"Colossal-AI: open-source ChatGPT option with RLHF based on LLaMA model","url":"https://news.ycombinator.com/item?id=35365221","date":"2023-03-29"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud"],"hardware":"Made for servers or data centres","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"hyperframes","name":"HyperFrames","repo":"heygen-com/hyperframes","githubUrl":"https://github.com/heygen-com/hyperframes","homepage":"https://hyperframes.dev/","pageUrl":"/repo/hyperframes","category":"Images & video","tagline":"Lets AI coding assistants make videos by writing web pages that are turned into MP4 files.","whatItDoes":["HyperFrames turns web pages (built with HTML, the language of websites) into video files. Text, pictures, video clips and animations on the page are recorded frame by frame into an MP4, so the same page always produces the same video.","It comes with ready-made \"skills\", instructions that teach AI coding assistants like Claude Code, Codex, Cursor and Gemini CLI how to plan, build, check and render a video. You can ask for something like a 10-second product intro and the assistant does the work.","The skills cover jobs such as product launch videos, topic explainers, captions for talking-head videos, music-synced videos, motion graphics and slide decks."],"whoFor":"Developers, marketers and creators who use AI coding assistants and want to produce videos with them.","useWithoutCoding":"Developers only","keywords":["video","animation","motion graphics","html to video","product video"],"rating":3.5,"tags":["Fast-rising"],"owner":{"name":"HeyGen","githubUrl":"https://github.com/heygen-com"},"license":"Apache-2.0","stars":66775,"contributors":105,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:45:33Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install the HyperFrames plugin or skills into your AI coding assistant.","Ask it for a video, for example a ten-second product intro with music.","It writes the web page, previews it and renders an MP4 file."],"officialDownload":null},{"slug":"shap","name":"SHAP","repo":"shap/shap","githubUrl":"https://github.com/shap/shap","homepage":"https://shap.readthedocs.io/","pageUrl":"/repo/shap","category":"Data science tools","tagline":"Explains why an AI model made a particular prediction by showing how much each input pushed the result.","whatItDoes":["SHAP stands for SHapley Additive exPlanations. It uses an idea from game theory, a branch of maths about sharing credit fairly, to work out how much each piece of input data contributed to a model's answer.","For example, if a model predicts a house price, SHAP can show which details pushed the price up and which pulled it down. It draws charts that make these explanations easy to see.","It works with many kinds of machine-learning models, with extra-fast methods for popular tree-based tools."],"whoFor":"Data scientists and researchers who need to understand, check or explain their models' decisions.","useWithoutCoding":"Developers only","keywords":["explain ai","why did ai decide","interpretability","machine learning","charts"],"rating":3.5,"tags":["Widely used"],"owner":{"name":"shap","githubUrl":"https://github.com/shap"},"license":"MIT","stars":25820,"contributors":331,"monthlyDownloads":8756041,"lastPushedAt":"2026-10-18T15:17:21Z","sources":[{"site":"Hacker News","title":"“Two days ago the police came to me and wanted me to stop working on this”","url":"https://news.ycombinator.com/item?id=10101469","date":"2015-08-22"},{"site":"Hacker News","title":"ShadPS4 – PlayStation 4 emulator","url":"https://news.ycombinator.com/item?id=41307195","date":"2024-08-21"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"fastmcp","name":"FastMCP","repo":"PrefectHQ/fastmcp","githubUrl":"https://github.com/PrefectHQ/fastmcp","homepage":"https://gofastmcp.com/","pageUrl":"/repo/fastmcp","category":"Developer building blocks","tagline":"A Python toolkit for building the connectors that let AI assistants use your tools and data.","whatItDoes":["MCP (Model Context Protocol) is a standard way to connect AI assistants like Claude or ChatGPT to outside tools and data. FastMCP is a Python framework that makes building those connections, called MCP servers and clients, much simpler.","A programmer writes an ordinary Python function and FastMCP handles the technical details, such as describing it to the AI, checking inputs, sign-in and communication. It can also give tools small interactive screens that appear right in the AI conversation. Its makers say an early version became part of the official MCP Python toolkit, and a TypeScript version is also available."],"whoFor":"Developers who want to plug their own tools or data into AI assistants.","useWithoutCoding":"Developers only","keywords":["mcp","mcp server","ai tools","python","connect ai"],"rating":3.5,"tags":[],"owner":{"name":"Prefect","githubUrl":"https://github.com/PrefectHQ"},"license":"Apache-2.0","stars":28128,"contributors":338,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T21:09:40Z","sources":[{"site":"Hacker News","title":"Welcome to FastMCP","url":"https://news.ycombinator.com/item?id=47508149","date":"2026-03-24"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"ui-ux-pro-max","name":"UI UX Pro Max","repo":"nextlevelbuilder/ui-ux-pro-max-skill","githubUrl":"https://github.com/nextlevelbuilder/ui-ux-pro-max-skill","homepage":"https://www.uupm.cc/","pageUrl":"/repo/ui-ux-pro-max","category":"Add-ons for AI coding tools","tagline":"Gives AI coding assistants design know-how so the apps and websites they build look more polished.","whatItDoes":["UI UX Pro Max is a \"skill\", a package of instructions and reference data that an AI coding assistant can use. It helps the assistant make design choices when building a website or app.","Describe what you want, such as a landing page for a beauty spa, and the skill suggests a full design system: page layout, visual style, colours, font pairings, effects, things to avoid and a checklist to review before launch. It draws on built-in rules for many kinds of businesses, from banking to restaurants.","It works with several AI coding tools, including Claude Code, Cursor, Copilot and Windsurf."],"whoFor":"People who build websites or apps with AI coding assistants and want better-looking results.","useWithoutCoding":"Developers only","keywords":["web design","app design","colour palette","fonts","landing page"],"rating":3.5,"tags":["Fast-rising"],"owner":{"name":"Next Level Builder","githubUrl":"https://github.com/nextlevelbuilder"},"license":"MIT","stars":137257,"contributors":101,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T02:04:34Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"openhuman","name":"OpenHuman","repo":"tinyhumansai/openhuman","githubUrl":"https://github.com/tinyhumansai/openhuman","homepage":"https://tinyhumans.ai/openhuman","pageUrl":"/repo/openhuman","category":"AI agents","tagline":"A lightweight AI agent app with built-in memory that can use a web browser and desktop apps for you.","whatItDoes":["OpenHuman is an AI agent \"harness\": the software that wraps an AI model and lets it use tools, remember things and carry out tasks. It comes as a desktop app for everyday users and as a code library for developers.","The agent has built-in memory and picks out what's relevant before each step. It can control a real web browser and your desktop apps, and the README says it stops before any payment. Its makers say it is faster and cheaper to run than similar tools because it sends the AI less text, and they publish benchmarks comparing it with six others.","Developers can also run hundreds of agents on one small server. The project calls itself an early beta, so expect rough edges."],"whoFor":"People who want a personal AI agent on their desktop, and developers who run many agents at once.","useWithoutCoding":"Yes","keywords":["ai agent","personal assistant","desktop app","browser automation","memory"],"rating":3.5,"tags":["Fast-rising","Research-backed"],"owner":{"name":"Tiny Humans","githubUrl":"https://github.com/tinyhumansai"},"license":"GPL-3.0","stars":42150,"contributors":193,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:53:04Z","sources":[{"site":"Research paper","title":"Recursive Language Models","url":"https://arxiv.org/abs/2512.24601","date":"2025-12-01"}],"checkedByPerson":false,"cost":null,"runsOn":["Mac","Windows","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Download the desktop app for Mac, Windows or Linux from the project's website or releases page.","Install and open it, keeping in mind its makers describe it as an early beta."],"officialDownload":"https://github.com/tinyhumansai/openhuman/releases"},{"slug":"qlib","name":"Qlib","repo":"microsoft/qlib","githubUrl":"https://github.com/microsoft/qlib","homepage":"https://qlib.readthedocs.io/en/latest/","pageUrl":"/repo/qlib","category":"Finance & trading","tagline":"A research platform from Microsoft for using AI to study and test stock-investment strategies.","whatItDoes":["Qlib helps researchers use machine learning for \"quant\" investing, which means making investment decisions with data and models. It covers the whole process: getting market data, training models, and testing strategies on past data.","Its makers have added RD-Agent, a related tool that uses AI to automate parts of this research. Results on past data don't guarantee future returns."],"whoFor":"Researchers and developers working on data-driven investing.","useWithoutCoding":"Developers only","keywords":["stock market","investing","quant","finance","trading research"],"rating":3.5,"tags":["Research-backed"],"owner":{"name":"Microsoft","githubUrl":"https://github.com/microsoft"},"license":"MIT","stars":49486,"contributors":154,"monthlyDownloads":null,"lastPushedAt":"2026-10-14T20:32:10Z","sources":[{"site":"Research paper","title":"Qlib: An AI-oriented Quantitative Investment Platform","url":"https://arxiv.org/abs/2009.11189","date":"2020-09-01"},{"site":"Research paper","title":"R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization","url":"https://arxiv.org/abs/2505.15155","date":"2025-05-01"},{"site":"Hacker News","title":"Lib0xc: A set of C standard library-adjacent APIs for safer systems programming","url":"https://news.ycombinator.com/item?id=47978834","date":"2026-05-01"}],"checkedByPerson":true,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"photoprism","name":"PhotoPrism","repo":"photoprism/photoprism","githubUrl":"https://github.com/photoprism/photoprism","homepage":"https://www.photoprism.app/","pageUrl":"/repo/photoprism","category":"Everyday tools","tagline":"A private photo app you host yourself that uses AI to label, search and organise your pictures.","whatItDoes":["PhotoPrism is like a self-hosted Google Photos. It automatically labels pictures by what's in them, recognises faces of family and friends, and lets you search by place, colour and more. It also shows photos on world maps.","It runs on your own computer or server, so your photos stay under your control. You use it in a web browser, and it can be added to a phone's home screen."],"whoFor":"People who want an organised, private photo library without big tech cloud services.","useWithoutCoding":"With some setup","keywords":["photos","google photos alternative","face recognition","self-hosted","photo library"],"rating":3.5,"tags":[],"owner":{"name":"PhotoPrism","githubUrl":"https://github.com/photoprism"},"license":"NOASSERTION","stars":40322,"contributors":199,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T17:47:01Z","sources":[{"site":"Hacker News","title":"PhotoPrism: AI-powered photos app for the decentralized web","url":"https://news.ycombinator.com/item?id=36679368","date":"2023-07-11"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Mac","Windows","Linux","Server","Web browser","Phone"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Try the public demo first, without uploading any private pictures.","Install Docker, then follow the step-by-step installation guide on the PhotoPrism docs site.","Open PhotoPrism in your web browser to browse, search and organise your photos."],"officialDownload":null},{"slug":"awesome-agent-skills","name":"Awesome Agent Skills","repo":"VoltAgent/awesome-agent-skills","githubUrl":"https://github.com/VoltAgent/awesome-agent-skills","homepage":"https://officialskills.sh/","pageUrl":"/repo/awesome-agent-skills","category":"Add-ons for AI coding tools","tagline":"A curated directory of add-on \"skills\" that teach AI assistants new tasks, from documents to web search.","whatItDoes":["Agent skills are packaged instructions and tools that give an AI assistant a new ability, such as creating Word documents, editing spreadsheets or searching the web.","This list gathers skills published by companies' own teams and by the community, grouped by who made them. Its makers say it focuses on skills used by real engineering teams rather than mass-generated ones.","The skills work with many assistants, including Claude Code, Codex, Gemini CLI, Cursor and GitHub Copilot."],"whoFor":"People using AI assistants who want to find trustworthy add-ons for specific jobs.","useWithoutCoding":"Yes","keywords":["agent skills","claude skills","plugins","add-ons","directory"],"rating":3.5,"tags":["Fast-rising"],"owner":{"name":"VoltAgent","githubUrl":"https://github.com/VoltAgent"},"license":"MIT","stars":35955,"contributors":229,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T13:58:02Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Browse the list to find a skill for the task you need.","Follow the skill's link and add it to your AI assistant, such as Claude Code or Cursor."],"officialDownload":null},{"slug":"ncnn","name":"ncnn","repo":"Tencent/ncnn","githubUrl":"https://github.com/Tencent/ncnn","homepage":null,"pageUrl":"/repo/ncnn","category":"Developer building blocks","tagline":"A lightweight engine from Tencent for running AI models quickly on phones, laptops and small devices.","whatItDoes":["ncnn is software that runs already-trained AI models efficiently, a job called \"inference\". It is designed for phones, embedded gadgets and desktops, and has no outside dependencies, which keeps it small.","It works on many platforms, including Android, iOS, Windows, macOS, Linux, Raspberry Pi and web browsers, and can use either the main processor or the graphics chip. A companion tool converts models made with popular frameworks like PyTorch into ncnn's format.","Its makers say it is used in many Tencent apps, such as WeChat and QQ."],"whoFor":"App developers who want to put AI features inside mobile or desktop apps without relying on the cloud.","useWithoutCoding":"Developers only","keywords":["mobile ai","on-device","android","inference","neural network"],"rating":3.5,"tags":[],"owner":{"name":"Tencent","githubUrl":"https://github.com/Tencent"},"license":"NOASSERTION","stars":23975,"contributors":394,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T13:31:56Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Phone","Windows","Mac","Linux","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":"https://github.com/Tencent/ncnn/releases"},{"slug":"dapr","name":"Dapr","repo":"dapr/dapr","githubUrl":"https://github.com/dapr/dapr","homepage":"https://dapr.io/","pageUrl":"/repo/dapr","category":"Running AI at scale","tagline":"Behind-the-scenes software that keeps multi-step apps and AI agents running reliably, even when servers crash.","whatItDoes":["Dapr is a runtime (software that runs alongside your app) for building large applications spread across many machines. It gives developers ready-made building blocks for common hard problems: saving progress, sending messages between services, keeping secrets safe and securing communication.","Its standout feature is \"durable execution\": long, multi-step workflows that pick up where they left off after a crash or restart instead of starting over. The same tools support AI agents, with memory between conversations, coordination of several agents, human approval steps and a consistent way to call AI models.","It works with many programming languages and runs on cloud services, Kubernetes, ordinary servers, laptops and small edge devices. It is a graduated project of the Cloud Native Computing Foundation."],"whoFor":"Software teams building dependable business systems or production AI agents.","useWithoutCoding":"Developers only","keywords":["workflows","ai agents","microservices","reliability","cloud"],"rating":3.5,"tags":[],"owner":{"name":"Dapr","githubUrl":"https://github.com/dapr"},"license":"Apache-2.0","stars":26153,"contributors":350,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T22:17:59Z","sources":[{"site":"Hacker News","title":"Open source RISC-V implemented from scratch in one night","url":"https://news.ycombinator.com/item?id=17852876","date":"2018-08-27"},{"site":"Hacker News","title":"Project includes a dependancy that has a license that forbids its use","url":"https://news.ycombinator.com/item?id=28263721","date":"2021-08-22"}],"checkedByPerson":false,"cost":"Free","runsOn":["Server","Cloud"],"hardware":"Made for servers or data centres","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"openspec","name":"OpenSpec","repo":"Fission-AI/OpenSpec","githubUrl":"https://github.com/Fission-AI/OpenSpec","homepage":"https://openspec.dev/","pageUrl":"/repo/openspec","category":"Add-ons for AI coding tools","tagline":"Helps you and your AI coding assistant agree on a written plan before any code gets written.","whatItDoes":["OpenSpec adds a planning step to AI coding assistants. Before changing code, you and the AI write a short \"spec\" in plain Markdown: why the change is needed, the requirements, the technical approach and a task checklist. You review the plan, then let the AI build it.","It works through simple commands inside your assistant, such as explore (think through options), propose (write the plan), apply (do the work) and archive (file it away). The plans are stored in your project so they stay up to date.","Its makers say it works with more than 30 AI tools. For teams, a beta feature keeps shared plans in a separate repository that several projects can read."],"whoFor":"Programmers who use AI coding assistants and want more predictable, reviewable results.","useWithoutCoding":"With some setup","keywords":["planning","specs","coding assistant","requirements","ai workflow"],"rating":3.5,"tags":[],"owner":{"name":"Fission","githubUrl":"https://github.com/Fission-AI"},"license":"MIT","stars":72335,"contributors":147,"monthlyDownloads":2842320,"lastPushedAt":"2026-10-19T01:47:22Z","sources":[{"site":"Hacker News","title":"OpenSpec – A lightweight and configurable AI spec framework","url":"https://news.ycombinator.com/item?id=49734264","date":"2026-09-16"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Install Node.js, then install OpenSpec.","Set it up inside your project folder.","Ask your AI coding assistant to explore an idea or propose a change before writing code."],"officialDownload":null},{"slug":"catboost","name":"CatBoost","repo":"catboost/catboost","githubUrl":"https://github.com/catboost/catboost","homepage":"https://catboost.ai/","pageUrl":"/repo/catboost","category":"Data science tools","tagline":"A machine learning library for making predictions and rankings from table-style data.","whatItDoes":["CatBoost is a machine learning library based on gradient boosting, a method that combines many small decision trees to make predictions. It is used for tasks like sorting items into groups, predicting numbers and ranking results.","Its makers say it gives strong quality and fast predictions, and it handles category-type data, like city names, without much preparation. It can use graphics cards and run across many machines.","It can be used from Python, R, Java, C++ and the command line."],"whoFor":"Data scientists and developers building prediction models from spreadsheet-like data.","useWithoutCoding":"Developers only","keywords":["machine learning","predictions","decision trees","data science","gradient boosting"],"rating":3.5,"tags":["Research-backed","New this week"],"owner":{"name":"CatBoost","githubUrl":"https://github.com/catboost"},"license":"Apache-2.0","stars":9149,"contributors":1454,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T08:48:32Z","sources":[{"site":"Research paper","title":"Fighting biases with dynamic boosting","url":"https://arxiv.org/abs/1706.09516","date":"2017-06-01"},{"site":"Hacker News","title":"CatBoost: Open-source gradient boosting library","url":"https://news.ycombinator.com/item?id=39601938","date":"2024-03-05"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"langfuse","name":"Langfuse","repo":"langfuse/langfuse","githubUrl":"https://github.com/langfuse/langfuse","homepage":"https://langfuse.com/","pageUrl":"/repo/langfuse","category":"Running AI at scale","tagline":"Helps teams track, test and improve their AI apps by recording what the AI did and how well it did.","whatItDoes":["Langfuse is a platform for teams building apps with large language models. It records \"traces\", step-by-step logs of each AI call and action, so developers can see what happened when something goes wrong.","It also stores and versions prompts, runs evaluations (checks of how good the answers are, by AI judges, code or people), manages test datasets, and has a playground for trying out prompts.","It can be used as a hosted cloud service or run on your own servers."],"whoFor":"Developers and teams running AI-powered products.","useWithoutCoding":"Developers only","keywords":["ai monitoring","prompt management","evaluation","llm testing"],"rating":3.5,"tags":[],"owner":{"name":"Langfuse","githubUrl":"https://github.com/langfuse"},"license":"NOASSERTION","stars":36007,"contributors":225,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T23:38:42Z","sources":[{"site":"Hacker News","title":"Launch HN: Langfuse (YC W23) – OSS Tracing and Workflows to Improve LLM Apps","url":"https://news.ycombinator.com/item?id=42441258","date":"2024-12-17"},{"site":"Hacker News","title":"Show HN: Langfuse – Open-source observability and analytics for LLM apps","url":"https://news.ycombinator.com/item?id=37310070","date":"2023-08-29"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Sign up for Langfuse Cloud's free tier, or run Langfuse on your own machine with Docker.","Connect your AI app using one of its integrations so it starts recording what the AI does."],"officialDownload":null},{"slug":"peft","name":"PEFT","repo":"huggingface/peft","githubUrl":"https://github.com/huggingface/peft","homepage":"https://huggingface.co/docs/peft","pageUrl":"/repo/peft","category":"Training & fine-tuning","tagline":"A code library for teaching big AI models new skills cheaply by training only a small add-on part.","whatItDoes":["Fine-tuning means further training an existing AI model on your own data so it gets better at a specific job. Doing this for a whole large model takes a lot of computer power. PEFT (Parameter-Efficient Fine-Tuning) instead trains a small set of extra settings, often well under one percent of the model's size, while leaving the rest untouched.","This cuts the memory and storage needed, so models can be adapted on far more modest hardware, and the trained add-on (popular methods include LoRA) is a small file. Its makers say results can come close to fully fine-tuned models.","It works with Hugging Face's other libraries for text, image-generation and large-scale training."],"whoFor":"Developers and researchers who want to customise AI models without huge computing budgets.","useWithoutCoding":"Developers only","keywords":["fine-tuning","lora","train ai","customize model","python library"],"rating":3.5,"tags":["Widely used"],"owner":{"name":"Hugging Face","githubUrl":"https://github.com/huggingface"},"license":"Apache-2.0","stars":21804,"contributors":379,"monthlyDownloads":8262388,"lastPushedAt":"2026-10-16T08:36:52Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"gpt-sovits","name":"GPT-SoVITS","repo":"RVC-Boss/GPT-SoVITS","githubUrl":"https://github.com/RVC-Boss/GPT-SoVITS","homepage":null,"pageUrl":"/repo/gpt-sovits","category":"Speech & audio","tagline":"Clone a voice from a short recording and turn written text into speech that sounds like that person.","whatItDoes":["GPT-SoVITS is a text-to-speech tool with a web interface. Its makers say a 5-second voice sample is enough to produce speech in that voice, and that training on about 1 minute of audio makes the result sound closer.","It can speak in English, Japanese, Korean, Cantonese and Chinese, even if the sample was in a different language. It also includes helper tools to separate a voice from background music, cut recordings into training clips and transcribe Chinese speech."],"whoFor":"Content creators, hobbyists and developers working on voiceovers, dubbing or custom voices.","useWithoutCoding":"With some setup","keywords":["voice cloning","text to speech","tts","voiceover","dubbing"],"rating":3.5,"tags":[],"owner":{"name":"RVC-Boss","githubUrl":"https://github.com/RVC-Boss"},"license":"MIT","stars":63131,"contributors":101,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T13:14:21Z","sources":[],"checkedByPerson":true,"cost":"Free","runsOn":["Windows","Mac","Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["On Windows, download the integrated package and double-click the start file to open the web interface.","On Mac or Linux, run the project's install script, then start the web interface.","Give it a short voice sample and type text to hear it spoken in that voice."],"officialDownload":null},{"slug":"privategpt","name":"PrivateGPT","repo":"zylon-ai/private-gpt","githubUrl":"https://github.com/zylon-ai/private-gpt","homepage":"https://www.zylon.ai/private-gpt","pageUrl":"/repo/privategpt","category":"Developer building blocks","tagline":"Ready-made building blocks for making private AI apps that run on your own AI models.","whatItDoes":["PrivateGPT is a layer that sits between your own AI model and the apps you build. It doesn't run models itself; it connects to a model server you already run, such as Ollama.","On top of that it adds the pieces most AI apps need: reading your files, answering questions about them with citations, built-in tools like web search, connections to databases, and support for MCP connectors (a standard way to plug tools into AI).","It includes a simple web page for testing and demos, but its makers say the programming interface is the real product. The aim is to build AI apps without sending data to cloud services."],"whoFor":"Developers and companies building private, in-house AI tools.","useWithoutCoding":"Developers only","keywords":["private ai","local models","documents","on-premise"],"rating":3.5,"tags":[],"owner":{"name":"Zylon","githubUrl":"https://github.com/zylon-ai"},"license":"Apache-2.0","stars":57592,"contributors":113,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T09:44:13Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Mac","Windows","Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install and start a local AI model server, such as Ollama.","Install PrivateGPT for your system and start it, pointing it at that server.","Open the built-in workbench in your web browser to chat and upload documents."],"officialDownload":null},{"slug":"optuna","name":"Optuna","repo":"optuna/optuna","githubUrl":"https://github.com/optuna/optuna","homepage":"https://optuna.org/","pageUrl":"/repo/optuna","category":"Training & fine-tuning","tagline":"Automatically finds the best settings for a machine learning model by trying many options smartly.","whatItDoes":["When training a machine learning model, you choose settings called hyperparameters, such as how fast it learns. Picking good ones by hand is slow. Optuna tries many combinations automatically and homes in on the best.","It uses search methods that focus on promising options and stop poor attempts early. It can spread the work across many computers and draw charts showing how the search went.","Settings to try are written in ordinary Python code, so they can be flexible."],"whoFor":"Data scientists and machine learning engineers tuning their models.","useWithoutCoding":"Developers only","keywords":["hyperparameter tuning","machine learning","optimization","model training","python"],"rating":3.5,"tags":["Widely used"],"owner":{"name":"optuna","githubUrl":"https://github.com/optuna"},"license":"MIT","stars":14934,"contributors":408,"monthlyDownloads":15257921,"lastPushedAt":"2026-10-16T02:55:22Z","sources":[{"site":"Hacker News","title":"Optuna – A Hyperparameter Optimization Framework","url":"https://news.ycombinator.com/item?id=39950929","date":"2024-04-06"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"serena","name":"Serena","repo":"oraios/serena","githubUrl":"https://github.com/oraios/serena","homepage":"https://oraios.github.io/serena","pageUrl":"/repo/serena","category":"Add-ons for AI coding tools","tagline":"Gives AI coding assistants smarter tools to find, understand and change code in large projects.","whatItDoes":["Serena is an add-on for AI coding assistants. It gives them tools like those in a professional code editor, so they can find where something is defined, see where it is used, and rename or move it across many files in one step.","Its makers say this makes agents faster and more reliable than editing by searching text and line numbers, especially in big codebases.","It connects through MCP, a standard way to plug tools into AI apps, so it works with Claude Code, Codex, Cursor, VS Code, JetBrains editors, Claude Desktop and others."],"whoFor":"Software developers using AI coding assistants on larger or multi-language codebases.","useWithoutCoding":"Developers only","keywords":["coding agent tools","mcp server","refactoring","code search","claude code"],"rating":3.5,"tags":[],"owner":{"name":"Oraios AI","githubUrl":"https://github.com/oraios"},"license":"NOASSERTION","stars":30368,"contributors":262,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T19:39:53Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Add Serena as an MCP server in your AI coding tool, such as Claude Code, Codex or Cursor."],"officialDownload":null},{"slug":"voicebox","name":"Voicebox","repo":"jamiepine/voicebox","githubUrl":"https://github.com/jamiepine/voicebox","homepage":"https://voicebox.sh/","pageUrl":"/repo/voicebox","category":"Speech & audio","tagline":"A desktop voice studio that clones voices, reads text aloud and lets you dictate, all on your own computer.","whatItDoes":["Voicebox is an app for working with AI voices. It can copy a voice from a few seconds of recorded audio, then read any text aloud in that voice, or use one of many preset voices. It supports many languages and several different speech engines.","It also works the other way: press a shortcut key and speak, and it types what you said into any app. A built-in editor lets you arrange several voices on a timeline for podcasts or stories, and AI coding tools can use it to speak to you.","Its makers say models and voice recordings never leave your machine."],"whoFor":"Podcasters, writers, creators and anyone who wants private text-to-speech or dictation.","useWithoutCoding":"Yes","keywords":["voice cloning","text to speech","dictation","read aloud","elevenlabs alternative"],"rating":3.5,"tags":["Fast-rising"],"owner":{"name":"Jamie Pine","githubUrl":"https://github.com/jamiepine"},"license":"MIT","stars":57946,"contributors":106,"monthlyDownloads":null,"lastPushedAt":"2026-10-07T01:17:58Z","sources":[],"checkedByPerson":true,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Download the installer for Mac or Windows from the project's website or releases page.","Open Voicebox and record or upload a short voice sample to create a voice profile.","Type some text and generate speech in that voice."],"officialDownload":"https://github.com/jamiepine/voicebox/releases"},{"slug":"qdrant","name":"Qdrant","repo":"qdrant/qdrant","githubUrl":"https://github.com/qdrant/qdrant","homepage":"https://qdrant.tech/","pageUrl":"/repo/qdrant","category":"Running AI at scale","tagline":"A database for AI 'embeddings' that lets apps search by meaning, find similar images or make recommendations.","whatItDoes":["AI models can turn text, images and other data into lists of numbers called vectors or embeddings, which capture meaning. Things with similar meanings get similar numbers. Qdrant is a vector database: it stores these numbers and quickly finds the closest matches.","That makes it a common building block for semantic search (search by meaning rather than exact words), image search, recommendations and letting chatbots look things up in your documents. You can attach extra information to each item and filter on it, combine keyword and meaning-based search, and spread data across many servers.","You can run it yourself or use the managed Qdrant Cloud, which has a free tier. It also offers skills for AI coding assistants."],"whoFor":"Developers and companies building AI search, recommendation or document-chat features.","useWithoutCoding":"Developers only","keywords":["vector database","semantic search","embeddings","similarity search","rag"],"rating":3.5,"tags":[],"owner":{"name":"Qdrant","githubUrl":"https://github.com/qdrant"},"license":"Apache-2.0","stars":35130,"contributors":209,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T21:48:47Z","sources":[{"site":"Hacker News","title":"Qdrant: Vector Database for the next generation of AI applications","url":"https://news.ycombinator.com/item?id=35844724","date":"2023-05-06"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"vibe-trading","name":"Vibe-Trading","repo":"HKUDS/Vibe-Trading","githubUrl":"https://github.com/HKUDS/Vibe-Trading","homepage":"https://vibetrading.wiki/","pageUrl":"/repo/vibe-trading","category":"Finance & trading","tagline":"An AI agent that helps research markets and test trading strategies on past data.","whatItDoes":["Vibe-Trading gives an AI agent tools for trading research. It can pull market data, test strategies on historical prices (\"backtesting\"), read reports, and write up its findings.","It can also connect to some brokers and run scheduled tasks. The makers warn that some social media accounts and crypto tokens using the project's name are not theirs. Test results are not a promise of future returns."],"whoFor":"Developers and experienced investors exploring AI for market research.","useWithoutCoding":"Developers only","keywords":["trading","stock research","backtesting","finance agent"],"rating":3.5,"tags":["Fast-rising"],"owner":{"name":"✨Data Intelligence Lab@HKU✨","githubUrl":"https://github.com/HKUDS"},"license":"MIT","stars":35836,"contributors":197,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T10:23:54Z","sources":[],"checkedByPerson":true,"cost":null,"runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"headroom","name":"Headroom","repo":"headroomlabs-ai/headroom","githubUrl":"https://github.com/headroomlabs-ai/headroom","homepage":"https://docs.headroomlabs.ai/docs","pageUrl":"/repo/headroom","category":"Add-ons for AI coding tools","tagline":"Shrinks the text an AI assistant has to read, so it uses fewer tokens and costs less.","whatItDoes":["AI models are billed by \"tokens\", small chunks of text. AI coding assistants often read long logs, files and tool results, which uses many tokens. Headroom squeezes that material down before it reaches the AI model.","Its makers say the answers stay the same while the text gets much shorter. The compression runs on your own computer, and the original text is kept so the AI can ask for the full version if it needs it.","You can wrap a coding tool such as Claude Code, Codex, Cursor or Aider with one command, run it as a proxy (a middle step that passes messages along), use it as a code library, or connect it as an MCP server, a standard way to plug tools into AI assistants."],"whoFor":"Developers who use AI coding assistants or build AI apps and want to cut token use and costs.","useWithoutCoding":"Developers only","keywords":["save tokens","reduce ai costs","compression","coding assistant","context window"],"rating":3.5,"tags":["Fast-rising"],"owner":{"name":"Headroom Labs","githubUrl":"https://github.com/headroomlabs-ai"},"license":"Apache-2.0","stars":75904,"contributors":337,"monthlyDownloads":463519,"lastPushedAt":"2026-10-17T18:29:50Z","sources":[{"site":"Hacker News","title":"Headroom - compress AI agent input for reduced token usage w/out harming output","url":"https://news.ycombinator.com/item?id=48999841","date":"2026-07-21"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":[],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install the Headroom command-line tool on your computer.","Use Headroom's wrap option to start your AI coding agent through it.","Open the Headroom dashboard to see how many tokens you are saving."],"officialDownload":null},{"slug":"caveman","name":"Caveman","repo":"JuliusBrussee/caveman","githubUrl":"https://github.com/JuliusBrussee/caveman","homepage":"https://docs.caveman.so/caveman","pageUrl":"/repo/caveman","category":"Add-ons for AI coding tools","tagline":"Makes AI coding assistants answer in short, plain sentences and read less, to cut what they cost to use.","whatItDoes":["AI services charge by the \"token\", roughly a piece of a word. Caveman is an add-on for AI coding assistants such as Claude Code, Codex and Gemini CLI that tries to use fewer of them. Its best-known part makes the assistant answer in short, clipped sentences while leaving code, commands and error messages untouched.","Other parts shrink the logs, data files and web pages the assistant reads, pick a cheaper or stronger model for each request, and reuse scripts the assistant has already written. Its makers publish their own measurements of the savings and say your results will vary.","It runs on your own machine with your existing AI accounts. Only the automatic model-picking feature needs a (free) Caveman account."],"whoFor":"Programmers who use AI coding assistants a lot and want to spend less on them.","useWithoutCoding":"With some setup","keywords":["save tokens","cheaper ai","shorter answers","claude code","coding assistant"],"rating":3.5,"tags":["Fast-rising","Research-backed"],"owner":{"name":"Julius Brussee","githubUrl":"https://github.com/JuliusBrussee"},"license":"Apache-2.0","stars":113482,"contributors":94,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T07:42:47Z","sources":[{"site":"Research paper","title":"CAVEWOMAN paper (Adobe Research)","url":"https://arxiv.org/abs/2606.24083","date":"2026-06-01"},{"site":"Hacker News","title":"Caveman: Why use many token when few token do trick","url":"https://news.ycombinator.com/item?id=47647455","date":"2026-04-05"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Install Node.js on your computer if you don't already have it.","Press Enter to confirm, then use your coding assistant as usual."],"officialDownload":null},{"slug":"cube","name":"Cube Core","repo":"cube-js/cube","githubUrl":"https://github.com/cube-js/cube","homepage":"https://cube.dev/","pageUrl":"/repo/cube","category":"Data science tools","tagline":"Defines a company's business numbers once, so reports, apps and AI agents all use the same figures.","whatItDoes":["Cube Core is a 'semantic layer': a shared dictionary of a business's numbers, such as revenue or active customers, and how each is calculated from the company's databases.","Once those definitions are written, dashboards, custom apps and AI agents can all ask Cube for the numbers and get the same answers, quickly, without each one re-creating the calculations.","It works with most databases and data warehouses. The makers also sell a full analytics product built on top of it."],"whoFor":"Data teams and developers building dashboards, analytics features or AI agents that answer questions about business data.","useWithoutCoding":"Developers only","keywords":["semantic layer","business metrics","analytics","data warehouse","ai agents"],"rating":3.5,"tags":["New this week"],"owner":{"name":"Cube","githubUrl":"https://github.com/cube-js"},"license":"NOASSERTION","stars":21034,"contributors":393,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T16:28:14Z","sources":[{"site":"Hacker News","title":"Cube.js: Headless Semantic Layer","url":"https://news.ycombinator.com/item?id=35774107","date":"2023-05-01"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server"],"hardware":"Made for servers or data centres","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"agent-skills","name":"Agent Skills","repo":"addyosmani/agent-skills","githubUrl":"https://github.com/addyosmani/agent-skills","homepage":"https://skills.addy.ie/","pageUrl":"/repo/agent-skills","category":"Add-ons for AI coding tools","tagline":"A set of ready-made instructions that make AI coding assistants follow good software engineering habits.","whatItDoes":["\"Skills\" are instruction packs that an AI coding assistant can load when they're relevant. This collection holds about two dozen of them, covering each stage of building software: writing a spec, planning, building, testing, reviewing and shipping.","It adds simple commands such as /spec, /plan, /build, /test and /review. Each one switches on the matching skills, so the AI works in small steps, writes tests and checks its work before moving on.","The skills are plain text files and work with many tools, including Claude Code, Cursor, Codex, Gemini CLI, GitHub Copilot and others."],"whoFor":"Software developers who use AI coding assistants and want more consistent, careful results.","useWithoutCoding":"Developers only","keywords":["coding best practices","claude code skills","testing","code review","cursor"],"rating":3.5,"tags":["Fast-rising"],"owner":{"name":"Addy Osmani","githubUrl":"https://github.com/addyosmani"},"license":"MIT","stars":108219,"contributors":93,"monthlyDownloads":null,"lastPushedAt":"2026-10-13T20:24:07Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Install the skills into your AI coding assistant, for example through Claude Code's plugin marketplace.","Use commands like spec, plan, build and test to guide each stage of the work."],"officialDownload":null},{"slug":"strix","name":"Strix","repo":"usestrix/strix","githubUrl":"https://github.com/usestrix/strix","homepage":"https://strix.ai/","pageUrl":"/repo/strix","category":"AI agents","tagline":"AI agents that test your own app for security weaknesses and suggest fixes.","whatItDoes":["Strix runs a team of AI agents that act like security testers: they run your app, look for weaknesses and check whether each one is real, so you get fewer false alarms than older scanners.","It reports what it found with steps to reproduce each problem and suggested fixes. It can run automatically each time code changes, to catch problems before they go live.","The open-source version runs on your own computer with your own AI account. The makers also sell a hosted version with extra features."],"whoFor":"Developers and security teams testing apps they own or are allowed to test.","useWithoutCoding":"Developers only","keywords":["security testing","penetration testing","vulnerabilities","app security","ai agents"],"rating":3.5,"tags":["New this week"],"owner":{"name":"Strix","githubUrl":"https://github.com/usestrix"},"license":"Apache-2.0","stars":69592,"contributors":75,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T11:58:17Z","sources":[{"site":"Hacker News","title":"Show HN: Strix - Open-source AI hackers for your apps","url":"https://news.ycombinator.com/item?id=44945113","date":"2025-08-18"},{"site":"Hacker News","title":"Show HN: Enter your domain and my open-source agent will hack it","url":"https://news.ycombinator.com/item?id=44871232","date":"2025-08-12"}],"checkedByPerson":true,"cost":"Free, with optional paid extras","runsOn":["Mac","Linux","Windows"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"onyx","name":"Onyx","repo":"onyx-dot-app/onyx","githubUrl":"https://github.com/onyx-dot-app/onyx","homepage":"https://onyx.app/","pageUrl":"/repo/onyx","category":"Documents & knowledge","tagline":"A self-hostable AI chat for teams that finds answers in your company's apps and documents.","whatItDoes":["Onyx connects to the apps a team already uses and indexes their content so an AI can find and use it. You then ask questions in a ChatGPT-style chat and get answers based on your company's own information, respecting the access permissions people already have.","It also offers in-depth research reports, web search, custom agents that can take actions in other apps, a secure sandbox for running code, and a voice mode. You can use it on the web, as a desktop app, in Slack or Discord, through a Chrome extension, or from AI coding tools through MCP.","It works with hosted models from OpenAI, Anthropic and Google or with models you run yourself, and it can be fully self-hosted, even without an internet connection. A cloud version is also available."],"whoFor":"Teams and companies that want an AI assistant that knows their internal documents and tools.","useWithoutCoding":"With some setup","keywords":["company knowledge","enterprise search","ai chat","self-hosted","document search"],"rating":3.5,"tags":[],"owner":{"name":"Onyx","githubUrl":"https://github.com/onyx-dot-app"},"license":"NOASSERTION","stars":32565,"contributors":209,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:51:41Z","sources":[{"site":"Hacker News","title":"Show HN: Open-source Deep Research across workplace applications","url":"https://news.ycombinator.com/item?id=43242551","date":"2025-03-03"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud","Web browser"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Try Onyx Cloud for free without installing anything.","Or deploy it on your own server with the one-line install script.","Connect your team's apps and ask questions about your company's knowledge."],"officialDownload":null},{"slug":"promptfoo","name":"Promptfoo","repo":"promptfoo/promptfoo","githubUrl":"https://github.com/promptfoo/promptfoo","homepage":"https://promptfoo.dev/","pageUrl":"/repo/promptfoo","category":"AI testing & safety","tagline":"Tests AI apps and chatbots to check their answers are good and that they can't be easily tricked.","whatItDoes":["Promptfoo is a testing tool for apps built on AI language models. You describe the questions and expected behaviour in a simple settings file, and it runs them automatically so you can see how well your prompts, chatbot or AI agent performs.","It can compare different AI models side by side, and it does \"red teaming\": deliberately trying to trick an AI app into unsafe or wrong behaviour so problems are found before real users find them. It produces reports on any weaknesses it finds.","Its makers say tests run locally so your prompts don't leave your machine. It can run automatically whenever code changes, and its makers note it is now part of OpenAI while remaining open source."],"whoFor":"Developers and teams who build AI-powered apps and need to check their quality and safety.","useWithoutCoding":"Developers only","keywords":["testing","ai safety","red teaming","compare models","prompts"],"rating":3.5,"tags":[],"owner":{"name":"promptfoo","githubUrl":"https://github.com/promptfoo"},"license":"MIT","stars":26117,"contributors":391,"monthlyDownloads":3440950,"lastPushedAt":"2026-10-18T00:33:33Z","sources":[{"site":"Hacker News","title":"Questions censored by DeepSeek","url":"https://news.ycombinator.com/item?id=42858552","date":"2025-01-28"},{"site":"Hacker News","title":"Promptfoo Is Joining OpenAI","url":"https://news.ycombinator.com/item?id=47312346","date":"2026-03-09"}],"checkedByPerson":true,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install promptfoo and create its getting-started example.","Add an API key for the AI provider you want to test.","Run an evaluation and view the results side by side."],"officialDownload":null},{"slug":"llmfit","name":"llmfit","repo":"AlexsJones/llmfit","githubUrl":"https://github.com/AlexsJones/llmfit","homepage":null,"pageUrl":"/repo/llmfit","category":"Run AI on your computer","tagline":"Checks your computer and tells you which AI models it can run well.","whatItDoes":["Many AI chat models can run on your own computer, but bigger ones need more memory and a stronger graphics card. llmfit looks at your computer's processor, memory and graphics card, then scores models on how well they'd fit and how fast they'd run.","It can also suggest the right \"quantization\", a shrunk-down version of a model that uses less memory. It works with popular tools for running models locally, such as Ollama, llama.cpp and LM Studio, and can measure real speeds on your machine.","It runs as a simple screen inside the terminal, as a web dashboard, or as a regular command."],"whoFor":"Anyone thinking of running AI models on their own computer who wants to know what will work.","useWithoutCoding":"With some setup","keywords":["which model","local ai","hardware check","gpu","offline ai"],"rating":3.5,"tags":["Fast-rising"],"owner":{"name":"Alex Jones","githubUrl":"https://github.com/AlexsJones"},"license":"MIT","stars":38087,"contributors":166,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:55:44Z","sources":[{"site":"Hacker News","title":"Right-sizes LLM models to your system's RAM, CPU, and GPU","url":"https://news.ycombinator.com/item?id=47211830","date":"2026-03-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux","Windows"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install llmfit with Homebrew or Scoop, or download it from the project's releases page.","Run llmfit in your terminal to see your hardware and a ranked list of models that fit."],"officialDownload":"https://github.com/AlexsJones/llmfit/releases"},{"slug":"siyuan","name":"SiYuan","repo":"siyuan-note/siyuan","githubUrl":"https://github.com/siyuan-note/siyuan","homepage":"https://b3log.org/siyuan","pageUrl":"/repo/siyuan","category":"Documents & knowledge","tagline":"A private, self-hosted note-taking and knowledge app with built-in AI writing and question answering.","whatItDoes":["SiYuan is a personal knowledge management app, a place to write notes and connect ideas. Every paragraph or \"block\" can be linked to and referenced from anywhere else, and you write in Markdown, a simple text format, while seeing the formatted result.","It focuses on privacy and can be self-hosted. It includes AI writing help and question-and-answer chat using an OpenAI-compatible service, and its makers describe it as a workspace where people and AI agents work together.","It's available as an installable app and through app stores, Docker and other hosting options. Most features are free, even for commercial use."],"whoFor":"People who keep detailed notes or a personal knowledge base and want privacy and control over their data.","useWithoutCoding":"Yes","keywords":["notes","note-taking","knowledge base","second brain","private"],"rating":3.5,"tags":[],"owner":{"name":"SiYuan","githubUrl":"https://github.com/siyuan-note"},"license":"AGPL-3.0","stars":46827,"contributors":125,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T16:31:36Z","sources":[{"site":"Hacker News","title":"Siyuan: Privacy-first, self-hosted personal knowledge management software","url":"https://news.ycombinator.com/item?id=42512713","date":"2024-12-26"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Windows","Phone","Server"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install SiYuan from your app store, or download it from the project's download page.","Open the app and start writing and linking notes.","To use the AI writing features, add an OpenAI API key in settings."],"officialDownload":"https://b3log.org/siyuan/en/download.html"},{"slug":"hugging-face-agents-course","name":"Hugging Face Agents Course","repo":"huggingface/agents-course","githubUrl":"https://github.com/huggingface/agents-course","homepage":null,"pageUrl":"/repo/hugging-face-agents-course","category":"Learning resources","tagline":"A free online course that explains how AI agents work and teaches you to build your own.","whatItDoes":["This is the material for Hugging Face's free Agents Course. It starts with what AI agents are (AI that can plan and take actions using tools) and how the language models behind them work.","Later units teach three popular frameworks for building agents, smolagents, LlamaIndex and LangGraph, plus how to monitor and evaluate agents and use them to search documents. The course ends with a final project that is scored against a benchmark, and bonus units include agents that play Pokémon games."],"whoFor":"Learners with basic Python and some knowledge of AI language models who want to build agents.","useWithoutCoding":"Yes","keywords":["ai course","learn agents","free course","hugging face","tutorial"],"rating":3.5,"tags":[],"owner":{"name":"Hugging Face","githubUrl":"https://github.com/huggingface"},"license":"Apache-2.0","stars":33732,"contributors":195,"monthlyDownloads":null,"lastPushedAt":"2026-10-14T11:34:52Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Sign up for the free course on the Hugging Face website.","Work through the units in order, from the basics of agents to a final project."],"officialDownload":null},{"slug":"chroma","name":"Chroma","repo":"chroma-core/chroma","githubUrl":"https://github.com/chroma-core/chroma","homepage":"https://www.trychroma.com/","pageUrl":"/repo/chroma","category":"Running AI at scale","tagline":"A database that lets AI apps store information and search it by meaning, not just exact words.","whatItDoes":["Chroma is a database built for AI. It stores text along with \"embeddings\", number codes that capture what the text means, so an app can find content that is similar in meaning to a question.","This is a key part of many chatbots that answer from your documents. Its makers say the core takes only four functions to use, and it handles turning text into embeddings for you.","You can run it yourself for free, or use the paid hosted service, Chroma Cloud."],"whoFor":"Developers building AI apps that need to search their own data.","useWithoutCoding":"Developers only","keywords":["vector database","semantic search","embeddings","database"],"rating":3.5,"tags":["Widely used"],"owner":{"name":"Chroma","githubUrl":"https://github.com/chroma-core"},"license":"Apache-2.0","stars":29526,"contributors":197,"monthlyDownloads":7602275,"lastPushedAt":"2026-10-17T22:33:48Z","sources":[{"site":"Hacker News","title":"Context Rot: How increasing input tokens impacts LLM performance","url":"https://news.ycombinator.com/item?id=44564248","date":"2025-07-14"},{"site":"Hacker News","title":"Show HN: Chroma Cloud – serverless search database for AI","url":"https://news.ycombinator.com/item?id=44944241","date":"2025-08-18"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"cmux","name":"cmux","repo":"manaflow-ai/cmux","githubUrl":"https://github.com/manaflow-ai/cmux","homepage":"https://cmux.com/","pageUrl":"/repo/cmux","category":"Coding assistants","tagline":"A Mac terminal app for juggling many AI coding agents at once, with alerts when one needs you.","whatItDoes":["cmux is a terminal app for Mac (a terminal is the text window programmers use to run commands). It's built for people who run several AI coding agents, such as Claude Code or Codex, side by side.","Its sidebar shows tabs for each workspace with useful details, and panes light up when an agent needs your attention. A notification panel gathers all the alerts in one place.","It also has a built-in web browser that agents can control, plus support for remote machines and custom shortcuts. It's a native Mac app built on Ghostty, another terminal program, and can use your existing Ghostty settings."],"whoFor":"Programmers who run several AI coding agents in parallel on a Mac.","useWithoutCoding":"Developers only","keywords":["terminal","coding agents","mac app","claude code","multitasking"],"rating":3.5,"tags":["Fast-rising"],"owner":{"name":"manaflow-ai","githubUrl":"https://github.com/manaflow-ai"},"license":"NOASSERTION","stars":28247,"contributors":246,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:48:36Z","sources":[{"site":"Hacker News","title":"Show HN: cmux - Ghostty-based terminal with vertical tabs and notifications","url":"https://news.ycombinator.com/item?id=47079718","date":"2026-02-19"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Download the cmux app for Mac, open the file and drag cmux to your Applications folder."],"officialDownload":"https://github.com/manaflow-ai/cmux/releases"},{"slug":"folo","name":"Folo","repo":"RSSNext/Folo","githubUrl":"https://github.com/RSSNext/Folo","homepage":"https://app.folo.is/","pageUrl":"/repo/folo","category":"Everyday tools","tagline":"A news and feed reader that gathers everything you follow in one place and uses AI to summarise it.","whatItDoes":["Folo is an RSS reader: an app that collects new posts from blogs, news sites, newsletters, podcasts, video channels and social feeds into one timeline, so you don't have to visit each site.","AI features help you keep up. You can ask questions about an article, a feed or everything you follow, get a digest of the day's most important entries, and have articles summarised or translated. You can choose the AI model or bring your own API key (a password-like code for an AI service).","It works in a web browser and as apps for iPhone, Android, Mac, Windows and Linux, and keeps your subscriptions and reading progress in sync."],"whoFor":"Anyone who follows lots of blogs, news sites or creators and wants a calmer way to keep up.","useWithoutCoding":"Yes","keywords":["rss reader","news","summaries","newsletters","feeds"],"rating":3.5,"tags":[],"owner":{"name":"RSS3","githubUrl":"https://github.com/RSSNext"},"license":"AGPL-3.0","stars":39115,"contributors":158,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T17:14:39Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Web browser","Phone","Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Open Folo in your web browser, or download the app for your phone or computer.","Follow the blogs, newsletters, podcasts and channels you like.","Use Folo AI to summarise or ask about what you follow."],"officialDownload":"https://github.com/RSSNext/Folo/releases"},{"slug":"openhands","name":"OpenHands","repo":"OpenHands/OpenHands","githubUrl":"https://github.com/OpenHands/OpenHands","homepage":"https://openhands.dev/","pageUrl":"/repo/openhands","category":"Coding assistants","tagline":"A control centre for running AI coding agents on your own computer or servers, including automated jobs.","whatItDoes":["OpenHands Agent Canvas is a home base for AI coding agents, AI helpers that can write and change software. From one screen you can start conversations with agents and set up automations, such as reports that post to Slack or regular code reviews.","It runs its own open-source OpenHands agent out of the box, but can also run other agents like Claude Code, Codex and Gemini CLI. You can use almost any AI model.","Agents can run on your laptop, inside Docker containers (sealed-off boxes that keep the agent away from the rest of your computer), on cloud servers, or on OpenHands' paid cloud. Its makers warn that running without a container gives the agent full access to your files."],"whoFor":"Software developers and engineering teams who want to use and automate AI coding agents on their own terms.","useWithoutCoding":"With some setup","keywords":["coding agent","ai developer","automation","self-hosted","code review"],"rating":3.5,"tags":[],"owner":{"name":"OpenHands","githubUrl":"https://github.com/OpenHands"},"license":"MIT","stars":91220,"contributors":580,"monthlyDownloads":17530,"lastPushedAt":"2026-10-19T01:18:28Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Mac","Windows","Linux","Server","Cloud"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Node.js and the uv tool, or Docker, on your computer.","Install and start Agent Canvas, then open it in your browser.","Start a new conversation and give a coding agent a task."],"officialDownload":null},{"slug":"omlx","name":"oMLX","repo":"jundot/omlx","githubUrl":"https://github.com/jundot/omlx","homepage":"https://omlx.ai/","pageUrl":"/repo/omlx","category":"Run AI on your computer","tagline":"Runs AI chat models on Apple Silicon Macs, managed from a menu bar app.","whatItDoes":["oMLX lets you run large language models on a Mac with an Apple Silicon chip (M1 or newer). You manage it from the menu bar: pick which models stay loaded, swap in heavier ones when needed and set limits.","It keeps a cache of past conversation context in memory and on the SSD drive, which its makers say makes local models practical for longer work such as coding with tools like Claude Code. Other apps can connect to it as if it were the OpenAI service, and it also has a built-in chat page."],"whoFor":"Mac owners who want to run AI models privately on their own machine.","useWithoutCoding":"Yes","keywords":["mac","offline ai","local llm","apple silicon","private"],"rating":3.5,"tags":["Fast-rising"],"owner":{"name":"Jun Kim","githubUrl":"https://github.com/jundot"},"license":"Apache-2.0","stars":22913,"contributors":325,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:46:23Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Download the Mac app from the project's releases page and drag it to Applications.","Open oMLX and follow the Welcome screen to choose a model folder and start the server.","Download your first model and chat with it in the built-in chat."],"officialDownload":"https://github.com/jundot/omlx/releases"},{"slug":"hf-tokenizers","name":"Tokenizers","repo":"huggingface/tokenizers","githubUrl":"https://github.com/huggingface/tokenizers","homepage":"https://huggingface.co/docs/tokenizers","pageUrl":"/repo/hf-tokenizers","category":"Developer building blocks","tagline":"A fast code library that splits text into the small pieces, called tokens, that AI language models read.","whatItDoes":["AI language models don't read words directly. They read tokens, small chunks of text turned into numbers. Tokenizers is Hugging Face's library for doing this conversion quickly, and turning numbers back into text.","It can load the tokenizers used by many popular models. It is written in Rust for speed and can be used from Python and Node.js.","The README says the project is moving to a new major release, and some older features are still being brought back."],"whoFor":"Programmers and researchers building or running AI language models.","useWithoutCoding":"Developers only","keywords":["tokens","text processing","language models","nlp"],"rating":3.5,"tags":["Widely used","New this week"],"owner":{"name":"Hugging Face","githubUrl":"https://github.com/huggingface"},"license":"Apache-2.0","stars":11184,"contributors":153,"monthlyDownloads":167021152,"lastPushedAt":"2026-10-18T14:15:34Z","sources":[{"site":"Hacker News","title":"Show HN: HuggingFace – Fast tokenization library for deep-learning NLP pipelines","url":"https://news.ycombinator.com/item?id=22035961","date":"2020-01-13"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"hermes-webui","name":"Hermes Web UI","repo":"nesquena/hermes-webui","githubUrl":"https://github.com/nesquena/hermes-webui","homepage":"https://get-hermes.ai/setup","pageUrl":"/repo/hermes-webui","category":"Chat assistants","tagline":"A web interface for using the Hermes Agent AI assistant from a browser or phone.","whatItDoes":["Hermes Agent is an AI agent that lives on your own server, remembers what it learns, and can run scheduled jobs. Normally you use it in a terminal or through messaging apps.","Hermes Web UI gives it a browser-based app with a sidebar of past sessions, a chat area and a file browser. Its makers say it can do almost everything the terminal version can, and that it uses your existing Hermes setup and models.","It can be reached securely from other devices, including a phone."],"whoFor":"People already running Hermes Agent who want a friendlier interface.","useWithoutCoding":"With some setup","keywords":["hermes agent","chat interface","web app","self-hosted"],"rating":3.5,"tags":[],"owner":{"name":"Nathan Esquenazi","githubUrl":"https://github.com/nesquena"},"license":"MIT","stars":19025,"contributors":404,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T06:00:46Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Linux","Server","Web browser","Phone"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the project to the Mac, Linux computer or server where Hermes Agent runs.","Run its setup script, which installs what is missing and opens the web app in your browser.","Follow the first-run wizard to choose your AI provider."],"officialDownload":null},{"slug":"openmontage","name":"OpenMontage","repo":"calesthio/OpenMontage","githubUrl":"https://github.com/calesthio/OpenMontage","homepage":"https://www.openmontage.video/","pageUrl":"/repo/openmontage","category":"Images & video","tagline":"Turns an AI coding assistant into a video studio that plans, makes and edits videos from a plain description.","whatItDoes":["OpenMontage is a toolkit that lets an AI coding assistant, such as Claude Code, Cursor or Codex, produce finished videos. You describe what you want in everyday language, and the assistant handles research, the script, pictures and clips, narration, music, subtitles and the final edit.","You can also start from a video you like, such as a YouTube Short or a local clip. It studies the pacing and style, then suggests a few ideas, a cost estimate and a sample before making the full video. It can use free stock footage and open archives, or paid AI video and voice services.","A local \"storyboard\" page shows each stage as it happens and pauses so you can approve the visuals before the final render."],"whoFor":"Creators, marketers and hobbyists who already use an AI coding assistant and want to make videos with it.","useWithoutCoding":"With some setup","keywords":["make videos","video editing","ai video","youtube shorts","narration"],"rating":3.5,"tags":["Fast-rising"],"owner":{"name":"Calesthio","githubUrl":"https://github.com/calesthio"},"license":"AGPL-3.0","stars":69542,"contributors":69,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T15:07:33Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install Python, FFmpeg, Node.js and an AI coding assistant such as Claude Code or Cursor.","Download OpenMontage and run its setup step.","Open the project in your AI assistant and describe the video you want in plain language."],"officialDownload":null},{"slug":"openmetadata","name":"OpenMetadata","repo":"open-metadata/OpenMetadata","githubUrl":"https://github.com/open-metadata/OpenMetadata","homepage":"https://open-metadata.org/","pageUrl":"/repo/openmetadata","category":"Documents & knowledge","tagline":"A catalog of an organisation's data that helps people and AI find, understand and trust it.","whatItDoes":["OpenMetadata keeps track of an organisation's data: what exists, what it means, who owns it, where it came from, and whether it is up to date and reliable. It connects to many data systems to collect this information.","Its makers describe it as a \"context layer\" for AI: AI assistants can use it, including through MCP, to learn what the data means and which rules apply before working with it. People can use it to search for data, see how it flows between systems, and record decisions and notes about it."],"whoFor":"Data teams and organisations managing lots of data, especially those connecting it to AI assistants.","useWithoutCoding":"With some setup","keywords":["data catalog","data governance","metadata","company data"],"rating":3.5,"tags":[],"owner":{"name":"OpenMetadata","githubUrl":"https://github.com/open-metadata"},"license":"Apache-2.0","stars":15510,"contributors":514,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:02:16Z","sources":[{"site":"Hacker News","title":"Show HN: OpenMetadata – OSS platform for data discovery observability governance","url":"https://news.ycombinator.com/item?id=40987501","date":"2024-07-17"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"ai-agent-book","name":"AI Agents in Depth (深入理解 AI Agent)","repo":"bojieli/ai-agent-book","githubUrl":"https://github.com/bojieli/ai-agent-book","homepage":null,"pageUrl":"/repo/ai-agent-book","category":"Learning resources","tagline":"A free book that explains how AI agents work and how to build them, with hands-on exercises.","whatItDoes":["This is the full text of a book about AI agents, the AI systems that use tools and take actions instead of only chatting. It is built around one idea: an agent is a language model plus context (the information it is given) plus tools.","The book has ten chapters that go from the basics to running agents in real products. It comes with more than a hundred hands-on experiments you can run yourself.","The original is in Chinese. Community translations are available in English and many other languages, as PDF, EPUB or online, though they may lag behind the original."],"whoFor":"Developers, students and technical readers who want a thorough understanding of AI agents.","useWithoutCoding":"Yes","keywords":["ai agents book","free ebook","learn agents","llm","tutorial"],"rating":3.5,"tags":[],"owner":{"name":"Bojie Li","githubUrl":"https://github.com/bojieli"},"license":"Apache-2.0","stars":54810,"contributors":92,"monthlyDownloads":null,"lastPushedAt":"2026-10-08T15:06:27Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Download the free PDF or EPUB edition in your language from the project's releases page.","Or read the book online in your web browser.","To run the hands-on experiments, you need Python and an API key from an AI provider."],"officialDownload":"https://github.com/bojieli/ai-agent-book/releases"},{"slug":"strands-agents","name":"Strands Agents","repo":"strands-agents/harness-sdk","githubUrl":"https://github.com/strands-agents/harness-sdk","homepage":"http://strandsagents.com/","pageUrl":"/repo/strands-agents","category":"Developer building blocks","tagline":"Open-source code kits in Python and TypeScript for building and running AI agents with any model.","whatItDoes":["Strands Agents is a set of code libraries for building AI agents, programs where an AI model decides which steps and tools to use to finish a task.","It handles the parts developers would otherwise build themselves: limits on turns and spending, tools, MCP connectors, teams of agents, memory, streaming answers, safety guardrails, tracing and testing. It runs inside your own program, with no hosted service required.","It works with Amazon Bedrock, Anthropic, OpenAI, Gemini and many other model providers. There is also a ready-made 'harness' agent and a plugin to help coding assistants build with it."],"whoFor":"Developers building AI agents into their own products.","useWithoutCoding":"Developers only","keywords":["ai agents","agent framework","python","typescript","sdk"],"rating":3.5,"tags":["Widely used","New this week"],"owner":{"name":"strands-agents","githubUrl":"https://github.com/strands-agents"},"license":"Apache-2.0","stars":8859,"contributors":334,"monthlyDownloads":39354677,"lastPushedAt":"2026-10-17T03:03:26Z","sources":[{"site":"Hacker News","title":"Strands Decider 2B: a small, open-source, decision model","url":"https://news.ycombinator.com/item?id=49987076","date":"2026-10-07"},{"site":"Hacker News","title":"Strands Harness","url":"https://news.ycombinator.com/item?id=49817289","date":"2026-09-23"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"mcp-typescript-sdk","name":"MCP TypeScript SDK","repo":"modelcontextprotocol/typescript-sdk","githubUrl":"https://github.com/modelcontextprotocol/typescript-sdk","homepage":"https://ts.sdk.modelcontextprotocol.io/v2","pageUrl":"/repo/mcp-typescript-sdk","category":"Developer building blocks","tagline":"The official code toolkit for building MCP connectors that let AI apps reach outside tools and data.","whatItDoes":["The Model Context Protocol (MCP) is a shared standard that lets AI apps connect to outside tools, files and services in the same way every time.","This toolkit is for programmers who write in TypeScript or JavaScript. It helps them build MCP servers (which offer tools or data to an AI) and MCP clients (the apps that use them).","It also includes small add-ons for popular web frameworks and ready-made examples to learn from."],"whoFor":"Developers building AI connectors or AI apps in TypeScript or JavaScript.","useWithoutCoding":"Developers only","keywords":["mcp","ai connectors","ai tools integration","model context protocol"],"rating":3.5,"tags":["Widely used","New this week"],"owner":{"name":"Model Context Protocol","githubUrl":"https://github.com/modelcontextprotocol"},"license":"NOASSERTION","stars":13608,"contributors":192,"monthlyDownloads":37323665,"lastPushedAt":"2026-10-18T15:11:33Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"github-mcp-server","name":"GitHub MCP Server","repo":"github/github-mcp-server","githubUrl":"https://github.com/github/github-mcp-server","homepage":null,"pageUrl":"/repo/github-mcp-server","category":"Add-ons for AI coding tools","tagline":"Lets AI assistants work directly with GitHub: reading code, managing issues and reviewing changes.","whatItDoes":["The GitHub MCP Server connects AI tools to GitHub, the website where many people store and work on code. MCP (Model Context Protocol) is a standard way for AI assistants to use outside tools.","Once connected, an assistant can browse and search code, create and update issues and pull requests (proposed code changes), check automated build results, and look at security alerts, all through plain-language requests.","GitHub hosts a ready-to-use version, and there is also a version you can run on your own computer."],"whoFor":"Developers who want their AI assistant to help manage GitHub projects.","useWithoutCoding":"With some setup","keywords":["github","mcp","pull requests","issues","coding assistant"],"rating":3.5,"tags":[],"owner":{"name":"GitHub","githubUrl":"https://github.com/github"},"license":"MIT","stars":33736,"contributors":172,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T21:16:40Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Cloud"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Use an AI app that supports MCP servers, such as VS Code, Claude Desktop or Cursor.","Add the GitHub-hosted server using a one-click install button or your app's setup guide.","Sign in to GitHub when asked, then ask your assistant about your projects."],"officialDownload":null},{"slug":"nltk","name":"NLTK","repo":"nltk/nltk","githubUrl":"https://github.com/nltk/nltk","homepage":"https://www.nltk.org/","pageUrl":"/repo/nltk","category":"Developer building blocks","tagline":"A long-standing Python toolkit for teaching and researching how computers process human language.","whatItDoes":["NLTK, the Natural Language Toolkit, is a set of Python tools, data sets and tutorials for natural language processing, the field of getting computers to work with human language.","It is widely used in research and education, and has a companion book, Natural Language Processing with Python."],"whoFor":"Students, teachers and researchers learning or working in language processing.","useWithoutCoding":"Developers only","keywords":["natural language processing","python","text analysis","nlp"],"rating":3.5,"tags":[],"owner":{"name":"Natural Language Toolkit","githubUrl":"https://github.com/nltk"},"license":"Apache-2.0","stars":14743,"contributors":526,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T17:18:57Z","sources":[{"site":"Hacker News","title":"Natural Language Processing with Python, free online","url":"https://news.ycombinator.com/item?id=3474440","date":"2012-01-17"},{"site":"Hacker News","title":"Learning Python while processing raw text: The NLTK book","url":"https://news.ycombinator.com/item?id=5361083","date":"2013-03-12"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"fastgpt","name":"FastGPT","repo":"labring/FastGPT","githubUrl":"https://github.com/labring/FastGPT","homepage":"https://fastgpt.io/","pageUrl":"/repo/fastgpt","category":"App builders & workflows","tagline":"Build AI question-answering bots and agents on your own documents, using a visual drag-and-drop workflow editor.","whatItDoes":["FastGPT is a platform for building AI apps that answer questions from a knowledge base, a collection of your own files. You can import many file types, such as PDF, Word, PowerPoint, Excel and web pages, and it finds the relevant passages when someone asks a question.","A visual editor lets you design workflows by connecting blocks, for multi-step conversations or simple automations. It supports MCP connectors and has tools to test answers, see which sources were used and review logs.","You can use the hosted cloud version or run it yourself. The README is in Chinese."],"whoFor":"Businesses and teams who want a customer-service or internal Q&A bot built on their own documents.","useWithoutCoding":"With some setup","keywords":["knowledge base","chatbot","rag","workflow","customer service"],"rating":3.5,"tags":[],"owner":{"name":"labring","githubUrl":"https://github.com/labring"},"license":"NOASSERTION","stars":29853,"contributors":198,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:46:17Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud","Web browser"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Use the hosted cloud version, or set it up on your own server with Docker.","Open FastGPT in your web browser and sign in.","Build a knowledge base or a workflow in the visual editor."],"officialDownload":null},{"slug":"deep-live-cam","name":"Deep-Live-Cam","repo":"hacksider/Deep-Live-Cam","githubUrl":"https://github.com/hacksider/Deep-Live-Cam","homepage":"https://deeplivecam.net/","pageUrl":"/repo/deep-live-cam","category":"Images & video","tagline":"Swaps a face in live webcam video or a recorded video, using just one photo.","whatItDoes":["Deep-Live-Cam is face-swapping software. You choose a photo of a face, pick a camera or video, and it replaces the face in the video with the one from the photo, in real time. The result is known as a \"deepfake\".","Extra options include keeping your own mouth movements for more natural speech and swapping several faces at once. Its makers suggest uses such as animating characters, making content and live performances.","Its makers say it has built-in checks that block inappropriate media such as nudity or graphic content. They ask users to get consent before using a real person's face and to clearly label results as deepfakes when sharing them online."],"whoFor":"Video creators, artists and performers who work with AI-generated media.","useWithoutCoding":"With some setup","keywords":["face swap","deepfake","webcam","video editing"],"rating":3.5,"tags":[],"owner":{"name":"Kenneth Estanislao","githubUrl":"https://github.com/hacksider"},"license":"AGPL-3.0","stars":97118,"contributors":85,"monthlyDownloads":null,"lastPushedAt":"2026-10-10T04:19:17Z","sources":[{"site":"Hacker News","title":"Real time face swap and one-click video deepfake","url":"https://news.ycombinator.com/item?id=41213580","date":"2024-08-11"}],"checkedByPerson":true,"cost":"Free, with optional paid extras","runsOn":["Windows","Mac","Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Get the paid pre-built version from the official website, or follow the free manual install, which needs technical skills.","Choose a photo of a face and select which camera to use.","Press Live to start, and only use a real person's face with their consent."],"officialDownload":"https://deeplivecam.net/index.php/quickstart"},{"slug":"lightgbm","name":"LightGBM","repo":"lightgbm-org/LightGBM","githubUrl":"https://github.com/lightgbm-org/LightGBM","homepage":"https://lightgbm.readthedocs.io/en/latest/","pageUrl":"/repo/lightgbm","category":"Data science tools","tagline":"A fast machine-learning tool for making predictions from tables of data, popular in data competitions.","whatItDoes":["LightGBM is a framework for \"gradient boosting\", a machine-learning method that combines many small decision trees, like flowcharts of yes/no questions, into one accurate predictor. It's often used for tasks like ranking and sorting data into categories.","Its makers say it trains faster and uses less memory than similar tools, and can run across many computers or on graphics cards. They note it has been used in many winning entries in machine-learning competitions.","The project moved from Microsoft's GitHub account to its own organisation in 2026 and is still run by the same maintainers."],"whoFor":"Data scientists and developers who build prediction models from structured data.","useWithoutCoding":"Developers only","keywords":["machine learning","predictions","data science","decision trees"],"rating":3.5,"tags":[],"owner":{"name":"lightgbm-org","githubUrl":"https://github.com/lightgbm-org"},"license":"MIT","stars":18890,"contributors":360,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T04:52:54Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"crawl4ai","name":"Crawl4AI","repo":"unclecode/crawl4ai","githubUrl":"https://github.com/unclecode/crawl4ai","homepage":"https://crawl4ai.com/","pageUrl":"/repo/crawl4ai","category":"Developer building blocks","tagline":"Turns any website into clean text that AI tools can read and use.","whatItDoes":["Crawl4AI is a web crawler, a program that visits web pages and collects their content. It converts pages into tidy Markdown (simple formatted text), keeping headings, tables and links while removing clutter like menus and footers.","This makes web content easy to feed into AI models, for example so a chatbot can answer questions about a website. It can also pull specific details from a page into structured data.","You can run it yourself for free as a Python library or with Docker. There is also a paid hosted service, Crawl4AI Cloud, with a free monthly allowance."],"whoFor":"Developers building AI apps, search tools or data pipelines that need content from the web.","useWithoutCoding":"Developers only","keywords":["web scraping","crawler","website to text","markdown","data extraction"],"rating":3.5,"tags":[],"owner":{"name":"UncleCode","githubUrl":"https://github.com/unclecode"},"license":"Apache-2.0","stars":85784,"contributors":103,"monthlyDownloads":1275996,"lastPushedAt":"2026-10-15T10:16:13Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"nanoclaw","name":"NanoClaw","repo":"nanocoai/nanoclaw","githubUrl":"https://github.com/nanocoai/nanoclaw","homepage":"https://nanoclaw.dev/","pageUrl":"/repo/nanoclaw","category":"AI agents","tagline":"A small, personal AI assistant you message on WhatsApp, Telegram or Slack, with each agent kept in its own sealed box.","whatItDoes":["NanoClaw is a personal AI assistant you talk to through messaging apps like WhatsApp, Telegram, Slack and Discord. It has memory, can run scheduled jobs, and uses Anthropic's Claude.","Its maker describes it as a lighter alternative to the larger OpenClaw project, with a codebase small enough to read and understand. Each agent runs in its own container, a sealed-off space on your computer, so it can only reach the files it's given.","A setup script installs what's needed, connects your Anthropic account and pairs your first messaging app."],"whoFor":"People comfortable with a terminal who want their own AI assistant in their chat apps, with tight control over what it can access.","useWithoutCoding":"With some setup","keywords":["personal assistant","whatsapp bot","telegram bot","claude","secure"],"rating":3.5,"tags":["Fast-rising"],"owner":{"name":"NanoCo","githubUrl":"https://github.com/nanocoai"},"license":"MIT","stars":30964,"contributors":175,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T13:44:15Z","sources":[{"site":"Hacker News","title":"Don't trust AI agents","url":"https://news.ycombinator.com/item?id=47194611","date":"2026-02-28"},{"site":"Hacker News","title":"Run NanoClaw in Docker Sandboxes","url":"https://news.ycombinator.com/item?id=47364397","date":"2026-03-13"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Linux","Windows"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Run the included setup script, which installs anything missing and builds the agent's sealed container.","Connect your Anthropic account and pair a chat app such as Slack, Telegram or WhatsApp.","Message your assistant using its trigger word, which is Andy by default."],"officialDownload":null},{"slug":"openai-node","name":"OpenAI TypeScript and JavaScript API Library","repo":"openai/openai-node","githubUrl":"https://github.com/openai/openai-node","homepage":"https://www.npmjs.com/package/openai","pageUrl":"/repo/openai-node","category":"Developer building blocks","tagline":"OpenAI's official code library for using its AI models from JavaScript and TypeScript programs.","whatItDoes":["This is OpenAI's official toolkit for programmers who write in JavaScript or TypeScript. It gives them a simple way to send requests to OpenAI's API, the doorway that lets programs use OpenAI's models.","With it, a program can generate text, hold multi-turn conversations, describe images and use OpenAI's other features. The README includes short examples for each.","Using it requires an OpenAI account and API key, and OpenAI charges for use."],"whoFor":"Developers building apps or websites that use OpenAI's models.","useWithoutCoding":"Developers only","keywords":["openai","chatgpt api","javascript","gpt"],"rating":3.5,"tags":["Widely used","New this week"],"owner":{"name":"OpenAI","githubUrl":"https://github.com/openai"},"license":"Apache-2.0","stars":11225,"contributors":114,"monthlyDownloads":175958798,"lastPushedAt":"2026-10-18T23:53:54Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"whisper","name":"Whisper","repo":"openai/whisper","githubUrl":"https://github.com/openai/whisper","homepage":null,"pageUrl":"/repo/whisper","category":"Speech & audio","tagline":"Turns speech in audio or video into accurate written text, in dozens of languages.","whatItDoes":["Whisper is a speech-recognition model from OpenAI. Give it a recording, such as a meeting, interview, podcast or voice note, and it writes out what was said.","It understands many languages and accents and can also translate speech into English. Because it's free and open, it powers a lot of transcription and subtitle apps.","Like any AI, it can occasionally make things up, especially during long silences, so important transcripts are worth a quick check."],"whoFor":"Journalists, researchers, students and anyone who needs transcripts or subtitles. It's also a building block for developers.","useWithoutCoding":"With some setup","keywords":["transcribe","subtitles","captions","voice","dictation"],"rating":3.5,"tags":["Research-backed"],"owner":{"name":"OpenAI","githubUrl":"https://github.com/openai"},"license":"MIT","stars":110836,"contributors":84,"monthlyDownloads":4986176,"lastPushedAt":"2026-08-31T17:19:19Z","sources":[{"site":"Research paper","title":"Robust Speech Recognition via Large-Scale Weak Supervision","url":"https://arxiv.org/abs/2212.04356","date":"2022-12-06"},{"site":"Hacker News","title":"OpenAI quietly launched Whisper V2 in a GitHub commit","url":"https://news.ycombinator.com/item?id=33884716","date":"2022-12-06"},{"site":"Hacker News","title":"OpenAI releases Whisper v3, new generation open source ASR model","url":"https://news.ycombinator.com/item?id=38166965","date":"2023-11-06"}],"checkedByPerson":true,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install Python and the free tool ffmpeg on your computer.","Install Whisper using Python's package installer.","Run Whisper on an audio file and it writes out what was said."],"officialDownload":null},{"slug":"1panel","name":"1Panel","repo":"1Panel-dev/1Panel","githubUrl":"https://github.com/1Panel-dev/1Panel","homepage":"https://1panel.pro/","pageUrl":"/repo/1panel","category":"Running AI at scale","tagline":"A web control panel for managing a Linux server, its websites and apps, and the AI agents on it.","whatItDoes":["1Panel lets you manage a Linux server from a web page instead of typing commands. You can watch the machine's health, manage files, databases and containers (packaged apps), and set up websites such as WordPress with security certificates in a few clicks.","It includes an app store for one-click installs of open-source software, plus backups and security features. It also has AI management tools for running and organising AI agents and models on your server.","The open-source edition is free. Paid Pro and Enterprise editions add features for teams, such as managing several servers and more agents."],"whoFor":"People who run their own servers, including small businesses and hobbyists who self-host websites and AI tools.","useWithoutCoding":"With some setup","keywords":["server panel","self-hosting","linux","web hosting","docker"],"rating":3.5,"tags":[],"owner":{"name":"1Panel-dev","githubUrl":"https://github.com/1Panel-dev"},"license":"GPL-3.0","stars":37201,"contributors":133,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T09:27:51Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Linux","Server"],"hardware":"Made for servers or data centres","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Prepare a Linux server.","Run the one-line install script from the README on that server.","Open the panel's web address in your browser and sign in."],"officialDownload":null},{"slug":"deepseek-harness","name":"DeepSeek Harness","repo":"deepseek-ai/deepseek-harness","githubUrl":"https://github.com/deepseek-ai/deepseek-harness","homepage":"https://deepseek.com/harness","pageUrl":"/repo/deepseek-harness","category":"AI agents","tagline":"A framework from DeepSeek for running AI agents, where every feature is a swappable plug-in.","whatItDoes":["DeepSeek Harness is an \"agent harness\": the software that wraps around an AI model so it can work as an agent, an AI that carries out tasks rather than only answering questions.","It is built so that nearly everything is a plug-in, a separate piece you can add or swap out. It starts a web page on your own computer where you use it, and others can publish plug-ins for it.","Its makers describe it as a developer preview that changes quickly, warn that updates may break things, and ask people to read their safety notice before running it."],"whoFor":"Developers and curious tinkerers who want to try or extend an open agent system.","useWithoutCoding":"With some setup","keywords":["ai agent","deepseek","plugins","automation"],"rating":3.5,"tags":["Fast-rising","Research-backed"],"owner":{"name":"DeepSeek","githubUrl":"https://github.com/deepseek-ai"},"license":"MIT","stars":253170,"contributors":57,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T08:16:09Z","sources":[{"site":"Research paper","title":"A Programming Paradigm for Spatiotemporal Composability","url":"https://arxiv.org/abs/2608.25512","date":"2026-08-01"},{"site":"Hacker News","title":"DeepSeek v4","url":"https://news.ycombinator.com/item?id=47884971","date":"2026-04-24"},{"site":"Hacker News","title":"DeepSeek-v3.1","url":"https://news.ycombinator.com/item?id=44976764","date":"2025-08-21"}],"checkedByPerson":true,"cost":null,"runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Read the project's safety notice first, as it is an early developer preview.","Install Node.js on your computer.","Start DeepSeek Harness with Node's package runner and its web page opens in your browser."],"officialDownload":null},{"slug":"quivr","name":"Quivr","repo":"The-Vibe-Company/quivr","githubUrl":"https://github.com/The-Vibe-Company/quivr","homepage":"https://docs.quivr.thevibecompany.co/","pageUrl":"/repo/quivr","category":"Documents & knowledge","tagline":"Takes in a steady flow of content, makes it searchable within seconds and alerts you on topics you follow.","whatItDoes":["Quivr is an engine that takes in a continuous stream of content, makes it searchable quickly, and lets you follow a topic over time with alerts. AI features such as \"meaning-based\" search are added in the background after the text is stored.","Its makers focus on reliability: content is never silently lost, history is kept rather than overwritten, and search results are re-checked before they're shown. Formats, AI models and business rules are added through plug-ins.","Its makers say it is at an early evaluation stage and should not be used in production yet."],"whoFor":"Developers building search and monitoring systems over large amounts of incoming content.","useWithoutCoding":"Developers only","keywords":["search engine","monitoring","alerts","knowledge search"],"rating":3.5,"tags":[],"owner":{"name":"The Vibe Company","githubUrl":"https://github.com/The-Vibe-Company"},"license":"MIT","stars":39598,"contributors":120,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T12:29:58Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Mac"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"xiaozhi-esp32","name":"XiaoZhi AI Chatbot","repo":"78/xiaozhi-esp32","githubUrl":"https://github.com/78/xiaozhi-esp32","homepage":"https://xiaozhi.me/","pageUrl":"/repo/xiaozhi-esp32","category":"Smart home & gadgets","tagline":"Build a small talking AI gadget that you chat with by voice, using a cheap ESP32 circuit board.","whatItDoes":["XiaoZhi is software for small, low-cost ESP32 chips that turns them into a voice assistant. You say a wake word, speak, and it answers out loud using large AI models such as Qwen or DeepSeek.","It supports many ready-made boards, with screens that show emoji expressions, and on some boards a camera. It uses MCP, a standard way to connect AI to tools, so the assistant can control lights, speakers and motors, or reach online services like smart-home control and email.","By default it connects to the project's own online service, where its makers say personal users can sign up and use a Qwen model for free."],"whoFor":"Hobbyists, makers and students who like building electronics and want a DIY AI voice assistant.","useWithoutCoding":"With some setup","keywords":["voice assistant","diy","esp32","smart speaker","robot"],"rating":3.5,"tags":[],"owner":{"name":"Xiaoxia","githubUrl":"https://github.com/78"},"license":"MIT","stars":31438,"contributors":164,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:40:42Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":[],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Get a supported ESP32 board, or build one on a breadboard using the project's guide."],"officialDownload":null},{"slug":"livekit-agents","name":"LiveKit Agents","repo":"livekit/agents","githubUrl":"https://github.com/livekit/agents","homepage":"https://docs.livekit.io/agents","pageUrl":"/repo/livekit-agents","category":"Speech & audio","tagline":"A framework for building AI voice assistants that can talk with people in real time, including over the phone.","whatItDoes":["LiveKit Agents helps developers build voice AI agents: programs that listen, think and talk back in real time. They can also see video and can make or answer phone calls.","Developers mix and match the parts: speech-to-text, a language model and text-to-speech from different providers. A built-in model detects when someone has finished speaking, which its makers say reduces interruptions.","It includes tools for testing agents and connecting to MCP tools. The whole system, including LiveKit's media server, can run on your own servers."],"whoFor":"Developers building voice assistants, phone agents or real-time AI helpers.","useWithoutCoding":"Developers only","keywords":["voice assistant","voice ai","phone calls","real-time","speech"],"rating":3.5,"tags":[],"owner":{"name":"LiveKit","githubUrl":"https://github.com/livekit"},"license":"Apache-2.0","stars":14820,"contributors":548,"monthlyDownloads":3609910,"lastPushedAt":"2026-10-19T00:39:42Z","sources":[{"site":"Hacker News","title":"Show HN: Open source framework OpenAI uses for Advanced Voice","url":"https://news.ycombinator.com/item?id=41743327","date":"2024-10-04"}],"checkedByPerson":false,"cost":null,"runsOn":["Server","Cloud"],"hardware":null,"privacy":null,"needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"ai-job-search","name":"AI Job Search","repo":"MadsLorentzen/ai-job-search","githubUrl":"https://github.com/MadsLorentzen/ai-job-search","homepage":null,"pageUrl":"/repo/ai-job-search","category":"Everyday tools","tagline":"Uses Claude Code to find jobs, judge fit, tailor your CV and cover letter, and prep for interviews.","whatItDoes":["AI Job Search is a set of instructions and tools that turn the Claude Code assistant into a job-application helper. You first fill in a profile from your CV or by answering questions.","Then it can search job sites, rate how well each posting fits you, write a tailored CV and cover letter, have a second AI review and improve them, and help you prepare for interviews. The job-site search is built for the Danish market, but the rest works anywhere.","The author says he built it for his own job search. He also warns that your personal details get saved into project files, so you should keep your copy private."],"whoFor":"Job seekers who are comfortable with a few technical tools and want AI help with applications.","useWithoutCoding":"Developers only","keywords":["job search","cv","resume","cover letter","interview prep"],"rating":3.5,"tags":["Fast-rising"],"owner":{"name":"Mads Lorentzen","githubUrl":"https://github.com/MadsLorentzen"},"license":"MIT","stars":53363,"contributors":78,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T19:38:41Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Make your own private copy of the project, since the setup saves your personal details into its files.","Install Claude Code and the other required tools listed in the README.","Run the setup command inside Claude Code to build your profile, then search for jobs and apply."],"officialDownload":null},{"slug":"langchain4j","name":"LangChain4j","repo":"langchain4j/langchain4j","githubUrl":"https://github.com/langchain4j/langchain4j","homepage":"https://docs.langchain4j.dev/","pageUrl":"/repo/langchain4j","category":"Developer building blocks","tagline":"A Java toolkit for building apps that use AI language models.","whatItDoes":["LangChain4j is a code library for the Java world that helps programmers add AI language models to their software. It offers one common way to talk to many different AI providers and data stores.","It includes ready-made pieces for common tasks, such as giving an AI access to tools, building chatbots, and letting an AI answer questions from your own documents.","Its makers note that, despite the name, it is not a copy of the Python LangChain project but is built for Java."],"whoFor":"Java developers who want to build AI features into their applications.","useWithoutCoding":"Developers only","keywords":["java","ai library","chatbot","language models","developer tool"],"rating":3.5,"tags":["New this week"],"owner":{"name":"LangChain4j","githubUrl":"https://github.com/langchain4j"},"license":"Apache-2.0","stars":13259,"contributors":514,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T16:30:49Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Server"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"marimo","name":"marimo","repo":"marimo-team/marimo","githubUrl":"https://github.com/marimo-team/marimo","homepage":"https://marimo.io/","pageUrl":"/repo/marimo","category":"Data science tools","tagline":"A Python notebook for data work that keeps results up to date automatically and has AI help built in.","whatItDoes":["A notebook is a document that mixes code, results, charts and notes, popular for data analysis and machine learning. In marimo, when you change one piece of code, everything that depends on it updates automatically, so results never go out of date.","You can add sliders, tables and charts, query data with SQL, and share a notebook as an interactive web app or slides. Notebooks are saved as plain Python files, which makes them easy to track and reuse.","Its editor includes AI features such as code completion and AI assistants, and it can pair with AI coding agents like Claude Code. There is also a free online version."],"whoFor":"Data scientists, researchers and Python developers who analyse data or experiment with machine learning.","useWithoutCoding":"Developers only","keywords":["python notebook","data science","jupyter alternative","data analysis","sql"],"rating":3.5,"tags":[],"owner":{"name":"marimo","githubUrl":"https://github.com/marimo-team"},"license":"Apache-2.0","stars":23236,"contributors":366,"monthlyDownloads":2450932,"lastPushedAt":"2026-10-18T18:12:43Z","sources":[{"site":"Hacker News","title":"Show HN: Marimo – an open-source reactive notebook for Python","url":"https://news.ycombinator.com/item?id=38971966","date":"2024-01-12"},{"site":"Hacker News","title":"Show HN: Marimo pair – Reactive Python notebooks as environments for agents","url":"https://news.ycombinator.com/item?id=47678844","date":"2026-04-07"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"llms-from-scratch","name":"Build a Large Language Model (From Scratch)","repo":"rasbt/LLMs-from-scratch","githubUrl":"https://github.com/rasbt/LLMs-from-scratch","homepage":"https://amzn.to/4fqvn0D","pageUrl":"/repo/llms-from-scratch","category":"Learning resources","tagline":"The code for a book that teaches you how ChatGPT-style AI works by building a small one yourself.","whatItDoes":["This is the official code for the book \"Build a Large Language Model (From Scratch)\". A large language model (LLM) is the kind of AI behind chatbots like ChatGPT.","Chapter by chapter, you write a small but working model: preparing text, building the parts that let it pay attention to words, training it, and then teaching it to classify text and follow instructions. The author says the method mirrors how the big models are made.","The code is designed to run on an ordinary laptop. There is also an optional companion video course and a follow-up book on reasoning models."],"whoFor":"People with solid Python skills who want to really understand how AI chat models work inside.","useWithoutCoding":"Developers only","keywords":["learn ai","how chatgpt works","book","build your own llm","course"],"rating":3.5,"tags":[],"owner":{"name":"Sebastian Raschka","githubUrl":"https://github.com/rasbt"},"license":"NOASSERTION","stars":106802,"contributors":73,"monthlyDownloads":null,"lastPushedAt":"2026-10-02T14:55:52Z","sources":[{"site":"Hacker News","title":"Implementing a ChatGPT-like LLM from scratch, step by step","url":"https://news.ycombinator.com/item?id=39156778","date":"2024-01-27"},{"site":"Hacker News","title":"Gemma 3 270M re-implemented in pure PyTorch for local tinkering","url":"https://news.ycombinator.com/item?id=44962059","date":"2025-08-20"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Download a copy of the repository as a ZIP file.","Follow the setup guide in the repository to install Python and its packages.","Work through the chapter notebooks alongside the book."],"officialDownload":null},{"slug":"deep-agents","name":"Deep Agents","repo":"langchain-ai/deepagents","githubUrl":"https://github.com/langchain-ai/deepagents","homepage":"https://docs.langchain.com/deepagents","pageUrl":"/repo/deep-agents","category":"Developer building blocks","tagline":"A ready-to-run starting point for programmers building AI agents that handle long, multi-step tasks.","whatItDoes":["Deep Agents is a code library from LangChain for building AI agents. Its makers call it a \"batteries-included agent harness\": an agent that works out of the box, with sensible defaults, that you can extend or change piece by piece.","Built-in features include planning, reading and writing files, running commands in a sandbox, handing sub-tasks to helper agents, long-term memory, reusable skills and the option for a person to approve actions before they happen. It works with any AI model that can use tools, including local ones.","Its makers say it was inspired by Claude Code. They also offer Deep Agents Code, a ready-made coding agent for the terminal built on it."],"whoFor":"Developers building AI agents in Python or JavaScript.","useWithoutCoding":"Developers only","keywords":["ai agents","langchain","agent framework","automation","python"],"rating":3.5,"tags":[],"owner":{"name":"LangChain","githubUrl":"https://github.com/langchain-ai"},"license":"MIT","stars":30393,"contributors":162,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T17:53:41Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"pipecat","name":"Pipecat","repo":"pipecat-ai/pipecat","githubUrl":"https://github.com/pipecat-ai/pipecat","homepage":"https://pipecat.ai/","pageUrl":"/repo/pipecat","category":"Speech & audio","tagline":"A Python toolkit for building AI voice assistants that hold natural, real-time spoken conversations.","whatItDoes":["Pipecat is a framework, a set of building blocks for programmers, for making voice and multimodal AI agents: assistants you talk to out loud, and that can also handle video and images.","It links speech recognition, an AI model and text-to-speech into a fast \"pipeline\" so conversations feel natural. It supports many AI services, and several agents can hand tasks to each other.","Example uses include voice assistants, customer-support bots, meeting assistants, coaches and interactive stories. There are client kits for building apps on different platforms."],"whoFor":"Developers building voice bots, phone agents or other conversational AI.","useWithoutCoding":"Developers only","keywords":["voice assistant","voice bot","conversational ai","real-time","speech"],"rating":3,"tags":[],"owner":{"name":"Pipecat","githubUrl":"https://github.com/pipecat-ai"},"license":"BSD-2-Clause","stars":16579,"contributors":367,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:02:28Z","sources":[{"site":"Hacker News","title":"Show HN: An open source framework for voice assistants","url":"https://news.ycombinator.com/item?id=40345696","date":"2024-05-13"},{"site":"Hacker News","title":"Show HN: Open-source, native audio turn detection model","url":"https://news.ycombinator.com/item?id=43283317","date":"2025-03-06"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"rea","name":"REA: Reverse Engineer Anything","repo":"morluto/rea","githubUrl":"https://github.com/morluto/rea","homepage":"https://rea.tools/","pageUrl":"/repo/rea","category":"Add-ons for AI coding tools","tagline":"Lets an AI assistant look inside an existing app to explain how one of its features works.","whatItDoes":["\"Reverse engineering\" means working out how a piece of software works by examining the finished product, without access to its original code. Think of taking apart a clock to see how the gears fit together.","REA connects an AI coding assistant to the professional tools used for this. You might ask, \"How does search work in this notes app?\" The AI inspects the app on your own computer, explains what it found, shows the evidence, and can help build a similar feature for your own project.","It works on many kinds of software, including desktop apps, websites, Android apps and older programs. Its makers say it's meant for lawful uses such as research, education, making software work together, and studying software you own or have permission to examine."],"whoFor":"Software developers, security researchers and curious engineers who want to understand how existing software works.","useWithoutCoding":"Developers only","keywords":["reverse engineering","how it works","security","binary","inspect"],"rating":3,"tags":["Fast-rising"],"owner":{"name":"morluto","githubUrl":"https://github.com/morluto"},"license":"MIT","stars":322912,"contributors":263,"monthlyDownloads":346782,"lastPushedAt":"2026-10-19T01:14:34Z","sources":[{"site":"Hacker News","title":"Reverse engineer anything with agents, from app behavior down to native binaries","url":"https://news.ycombinator.com/item?id=50058850","date":"2026-10-12"}],"checkedByPerson":true,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install Node.js, then run REA's setup tool and choose which AI coding assistants to connect.","Review and approve the proposed changes, then restart your AI assistant.","Ask your assistant to explain how a feature in an app works, and show the evidence."],"officialDownload":"https://rea.tools/"},{"slug":"mediapipe","name":"MediaPipe","repo":"google-ai-edge/mediapipe","githubUrl":"https://github.com/google-ai-edge/mediapipe","homepage":"https://ai.google.dev/edge/mediapipe","pageUrl":"/repo/mediapipe","category":"Developer building blocks","tagline":"Ready-made AI features, such as spotting hands, faces or objects, that developers can add to apps.","whatItDoes":["MediaPipe is Google's toolkit for adding machine-learning features to apps that run directly on phones, computers, websites and small devices, without needing a server.","It offers ready-to-use solutions for vision, text and audio tasks, with pre-trained models. Developers can customize models with their own data and test them in a browser tool called MediaPipe Studio.","There is also a lower-level framework for building custom processing pipelines for live video and audio."],"whoFor":"App developers who want to add on-device AI features like gesture or face tracking.","useWithoutCoding":"Developers only","keywords":["computer vision","hand tracking","face detection","on-device ai"],"rating":3,"tags":["Research-backed"],"owner":{"name":"google-ai-edge","githubUrl":"https://github.com/google-ai-edge"},"license":"Apache-2.0","stars":37318,"contributors":119,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T20:57:35Z","sources":[{"site":"Research paper","title":"MediaPipe: A Framework for Building Perception Pipelines","url":"https://arxiv.org/abs/1906.08172","date":"2019-06-01"},{"site":"Hacker News","title":"Google restricting Google AI Pro/Ultra subscribers for using OpenClaw","url":"https://news.ycombinator.com/item?id=47115805","date":"2026-02-22"},{"site":"Hacker News","title":"€54k spike in 13h from unrestricted Firebase browser key accessing Gemini APIs","url":"https://news.ycombinator.com/item?id=47791871","date":"2026-04-16"}],"checkedByPerson":false,"cost":"Free","runsOn":["Phone","Web browser"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"supervision","name":"Supervision","repo":"roboflow/supervision","githubUrl":"https://github.com/roboflow/supervision","homepage":"https://supervision.roboflow.com/","pageUrl":"/repo/supervision","category":"Developer building blocks","tagline":"A Python toolkit that helps programmers build computer-vision apps, such as counting objects in video.","whatItDoes":["Computer vision is AI that understands images and video, for example spotting cars, people or products. Supervision doesn't provide the AI model itself; it's the toolkit around it. You plug in a detection or classification model of your choice and Supervision handles the common jobs.","Those jobs include drawing boxes and labels on images, tracking objects across video frames, counting things that enter a zone, and loading, splitting, merging and converting image datasets between popular formats."],"whoFor":"Python developers and researchers building image or video analysis tools.","useWithoutCoding":"Developers only","keywords":["computer vision","object detection","video analysis","image labels","python"],"rating":3,"tags":[],"owner":{"name":"Roboflow","githubUrl":"https://github.com/roboflow"},"license":"MIT","stars":51246,"contributors":218,"monthlyDownloads":839145,"lastPushedAt":"2026-10-19T00:04:23Z","sources":[{"site":"Hacker News","title":"Supervision: Reusable Computer Vision","url":"https://news.ycombinator.com/item?id=39812259","date":"2024-03-25"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"omi","name":"Omi","repo":"BasedHardware/omi","githubUrl":"https://github.com/BasedHardware/omi","homepage":"https://omi.me/","pageUrl":"/repo/omi","category":"Everyday tools","tagline":"An AI note-taker that listens to your conversations and screen, then writes summaries and to-dos.","whatItDoes":["Omi captures what you see on screen and the conversations you have, and writes them down as they happen. It then makes summaries and lists of action items.","It also gives you an AI chat that its makers say remembers everything you've seen and heard, so you can ask about past meetings or ideas.","It works on desktop computers and phones, and with Omi's own wearable devices, such as a necklace and smart glasses, which are sold separately. The hardware designs are open source too."],"whoFor":"Busy professionals who want automatic notes from meetings and conversations, and developers who want to build apps for the Omi platform.","useWithoutCoding":"Yes","keywords":["meeting notes","transcription","wearable","memory","summaries"],"rating":3,"tags":["New this week"],"owner":{"name":"omi","githubUrl":"https://github.com/BasedHardware"},"license":"MIT","stars":13763,"contributors":455,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:38:41Z","sources":[{"site":"Hacker News","title":"Show HN: Omi – Open-source AI wearable for capturing conversations","url":"https://news.ycombinator.com/item?id=41333648","date":"2024-08-23"},{"site":"Hacker News","title":"Show HN: Omi – watches your screen, hears conversations, tells you what to do","url":"https://news.ycombinator.com/item?id=47784914","date":"2026-04-15"}],"checkedByPerson":false,"cost":null,"runsOn":["Mac","Windows","Phone"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Download the Omi app for Mac from the project's website, or get the phone app from the App Store or Google Play.","Optionally pair the app with an Omi wearable device for all-day capture."],"officialDownload":null},{"slug":"claude-code-templates","name":"Claude Code Templates","repo":"davila7/claude-code-templates","githubUrl":"https://github.com/davila7/claude-code-templates","homepage":"https://aitmpl.com/","pageUrl":"/repo/claude-code-templates","category":"Add-ons for AI coding tools","tagline":"A catalogue of ready-made agents, commands and settings you can add to Claude Code in one step.","whatItDoes":["Claude Code Templates collects ready-to-use add-ons for Claude Code: specialist agents, custom commands, connections to outside services, automation hooks and settings. You can browse them on the aitmpl.com website and install them with one command.","It also includes tools for watching your Claude Code sessions, viewing replies on a phone, and checking that your setup is healthy."],"whoFor":"Claude Code users who want to extend it without building add-ons themselves.","useWithoutCoding":"Developers only","keywords":["claude code","templates","agents","plugins","commands"],"rating":3,"tags":[],"owner":{"name":"Daniel Avila","githubUrl":"https://github.com/davila7"},"license":"MIT","stars":32739,"contributors":139,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T03:18:53Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Browse the catalogue on the project's website to find agents, commands and settings.","Copy the one-line install instruction for the component you want.","Run it in your project to add that component to Claude Code."],"officialDownload":null},{"slug":"herdr","name":"herdr","repo":"herdrdev/herdr","githubUrl":"https://github.com/herdrdev/herdr","homepage":"https://herdr.dev/","pageUrl":"/repo/herdr","category":"Add-ons for AI coding tools","tagline":"A terminal workspace for running several AI coding agents at once and seeing which ones need you.","whatItDoes":["herdr is for programmers who run several AI coding agents at the same time, such as Claude Code, Codex or Cursor. It splits your terminal (the text-based command window) into panes, one per agent, and keeps them running in the background even if you close the window or lose your connection.","Each pane is marked as working, blocked or idle, so you can see at a glance which agent has stopped and needs an answer. You can manage agents on several machines from one window, and the agents themselves can use herdr to open panes and message each other."],"whoFor":"Developers who juggle multiple AI coding agents.","useWithoutCoding":"With some setup","keywords":["coding agents","terminal","multitasking","tmux","claude code"],"rating":3,"tags":["Fast-rising"],"owner":{"name":"herdrdev","githubUrl":"https://github.com/herdrdev"},"license":"Apache-2.0","stars":44652,"contributors":91,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T18:57:09Z","sources":[{"site":"Hacker News","title":"Herdr: One terminal to rule them all","url":"https://news.ycombinator.com/item?id=48756578","date":"2026-07-02"},{"site":"Hacker News","title":"Herdr is joining Y Combinator. The runtime stays open","url":"https://news.ycombinator.com/item?id=49201003","date":"2026-08-06"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Install herdr with its one-line installer or Homebrew.","Start it in your project folder from your usual terminal.","Run your AI coding agents in panes and watch which ones need an answer."],"officialDownload":null},{"slug":"cua","name":"Cua","repo":"trycua/cua","githubUrl":"https://github.com/trycua/cua","homepage":"https://cua.ai/","pageUrl":"/repo/cua","category":"AI agents","tagline":"Gives AI agents their own computer desktops to work in, plus tools for controlling apps on your machine.","whatItDoes":["Cua is a set of tools for \"computer use\", where an AI agent operates a computer the way a person does: opening apps, clicking and typing. Its main app, Cua Spaces, gives agents full desktops as virtual machines (computers running inside your computer) on your Mac, on other machines you own, or in your own cloud account.","You and your agents can share the same desktop, each with your own cursor, so you can step in when a decision is needed. You can move a signed-in app like Chrome into a Space, and your logins stay encrypted on your Mac until you approve.","The project also includes Cua Driver for controlling desktop apps on Mac, Windows and Linux, Lume for creating virtual machines on Apple Silicon Macs, small specialised AI models, and tests for measuring how well agents perform."],"whoFor":"Developers and researchers building AI agents that need to operate real software safely.","useWithoutCoding":"With some setup","keywords":["computer use","virtual machine","desktop automation","ai agent","sandbox"],"rating":3,"tags":[],"owner":{"name":"Cua","githubUrl":"https://github.com/trycua"},"license":"MIT","stars":30145,"contributors":155,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:41:45Z","sources":[{"site":"Hacker News","title":"Apple Silicon and macOS VMs: Faster LLM Inference with llama.cpp","url":"https://news.ycombinator.com/item?id=49259339","date":"2026-08-11"},{"site":"Hacker News","title":"Launch HN: Cua (YC X25) – Open-Source Docker Container for Computer-Use Agents","url":"https://news.ycombinator.com/item?id=43773563","date":"2025-04-23"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Mac","Windows","Linux","Cloud"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["On a Mac running macOS 26 or later, download the Cua Spaces app from the releases page.","Follow the quickstart to create your first Space, a desktop for your agent.","Connect your own AI agent, such as Claude Code or Codex."],"officialDownload":"https://github.com/trycua/cua/releases"},{"slug":"amazon-sagemaker-examples","name":"Amazon SageMaker Examples","repo":"aws/amazon-sagemaker-examples","githubUrl":"https://github.com/aws/amazon-sagemaker-examples","homepage":"https://sagemaker-examples.readthedocs.io/","pageUrl":"/repo/amazon-sagemaker-examples","category":"Learning resources","tagline":"Official example notebooks showing how to train, adjust and launch AI models on Amazon's SageMaker cloud service.","whatItDoes":["This is Amazon Web Services' official collection of Jupyter notebooks (documents that mix explanations with runnable code) for SageMaker, its cloud service for machine learning.","The examples follow a project from start to finish: training a model, customising an existing model with your own data, testing whether it got better, putting it online for others to use, and running it reliably over time."],"whoFor":"Data scientists and engineers who use, or plan to use, Amazon's cloud for machine learning.","useWithoutCoding":"Developers only","keywords":["aws","sagemaker","machine learning examples","cloud ai","notebooks"],"rating":3,"tags":["New this week"],"owner":{"name":"Amazon Web Services","githubUrl":"https://github.com/aws"},"license":"Apache-2.0","stars":10996,"contributors":602,"monthlyDownloads":null,"lastPushedAt":"2026-10-14T18:17:30Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Cloud"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Set up an AWS account with SageMaker access.","Open a SageMaker notebook, where these examples are already loaded under the SageMaker Examples tab."],"officialDownload":null},{"slug":"generative-ai-on-google-cloud","name":"Generative AI on Google Cloud","repo":"GoogleCloudPlatform/generative-ai","githubUrl":"https://github.com/GoogleCloudPlatform/generative-ai","homepage":"https://docs.cloud.google.com/gemini-enterprise-agent-platform/","pageUrl":"/repo/generative-ai-on-google-cloud","category":"Learning resources","tagline":"Example notebooks and sample apps showing how to build with Google's Gemini AI models on Google Cloud.","whatItDoes":["This collection from Google Cloud shows, through worked examples, how to use its generative AI services. It includes notebooks (documents mixing code and explanation), code samples and sample apps.","Folders cover the Gemini models, building search engines, letting AI look things up in your data, image and video generation with Imagen and Veo, and speech with Chirp. There's also a guide to setting up your environment and a list of blogs and videos.","It links to many related Google projects, such as agent templates and sample agents."],"whoFor":"Developers learning to build AI features with Google Cloud and Gemini.","useWithoutCoding":"Developers only","keywords":["gemini","google cloud","examples","tutorial","vertex ai"],"rating":3,"tags":[],"owner":{"name":"Google Cloud Platform","githubUrl":"https://github.com/GoogleCloudPlatform"},"license":"Apache-2.0","stars":17797,"contributors":311,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T22:54:04Z","sources":[{"site":"Hacker News","title":"Gemini Code Assist will be shut down on July 17","url":"https://news.ycombinator.com/item?id=48774429","date":"2026-07-03"},{"site":"Hacker News","title":"Gemini Distillation Service","url":"https://news.ycombinator.com/item?id=49078371","date":"2026-07-28"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Cloud"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"composio","name":"Composio","repo":"ComposioHQ/composio","githubUrl":"https://github.com/ComposioHQ/composio","homepage":"https://docs.composio.dev/","pageUrl":"/repo/composio","category":"Developer building blocks","tagline":"Lets developers connect their AI agents to over a thousand apps, such as email, so agents can take action.","whatItDoes":["An AI agent is only useful if it can reach the apps where work happens. Composio gives developers ready-made connections to more than a thousand apps, handling the sign-in for each user.","A developer gives these tools to their agent, and the agent can then do things like summarise today's emails. The agent finds and uses the right tools as it goes, instead of loading hundreds of them at once.","It comes as Python and TypeScript libraries and a command-line tool. It works with popular agent frameworks from OpenAI, Anthropic, Vercel, LangChain and others."],"whoFor":"Developers building AI agents that need to work with other apps and services.","useWithoutCoding":"Developers only","keywords":["ai agent tools","integrations","app connections","automation","api"],"rating":3,"tags":["Widely used"],"owner":{"name":"Composio","githubUrl":"https://github.com/ComposioHQ"},"license":"MIT","stars":30635,"contributors":123,"monthlyDownloads":6283087,"lastPushedAt":"2026-10-19T01:01:44Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Cloud"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"burn","name":"Burn","repo":"tracel-ai/burn","githubUrl":"https://github.com/tracel-ai/burn","homepage":"https://burn.dev/","pageUrl":"/repo/burn","category":"Developer building blocks","tagline":"A deep-learning toolkit for the Rust programming language, for both training and running AI models.","whatItDoes":["Burn is a library for building and training neural networks in Rust, a programming language known for speed and safety.","Usually models are trained in one tool and then converted to run in production, which can break things. Its makers say Burn lets the same code do both, on many kinds of hardware, while feeling as flexible as PyTorch.","It is part of a wider set of Rust AI projects for GPU computing, importing models from other formats and ready-made models."],"whoFor":"Programmers and researchers who want to build AI in Rust.","useWithoutCoding":"Developers only","keywords":["rust","deep learning","neural network","gpu"],"rating":3,"tags":[],"owner":{"name":"Tracel AI","githubUrl":"https://github.com/tracel-ai"},"license":"Apache-2.0","stars":16128,"contributors":351,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T21:33:15Z","sources":[{"site":"Hacker News","title":"Multiplatform Matrix Multiplication Kernels","url":"https://news.ycombinator.com/item?id=44609137","date":"2025-07-18"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"cvat","name":"CVAT","repo":"cvat-ai/cvat","githubUrl":"https://github.com/cvat-ai/cvat","homepage":"https://www.cvat.ai/","pageUrl":"/repo/cvat","category":"Training & fine-tuning","tagline":"A tool for labelling images, video, audio and 3D data so it can be used to train AI.","whatItDoes":["To teach an AI to recognise things, people first have to mark examples, for instance drawing boxes around every car in thousands of photos. CVAT (Computer Vision Annotation Tool) is a platform for doing that work.","It handles images, video, audio and 3D data, and teams can share tasks, assign work and review each other's labels. You can connect your own AI models to suggest labels and speed things up.","This is the free, self-hosted community edition. The makers also offer an online version with a free plan, plus paid enterprise and labelling services."],"whoFor":"AI teams, researchers and companies preparing labelled training data.","useWithoutCoding":"With some setup","keywords":["data labeling","image annotation","training data","bounding boxes"],"rating":3,"tags":[],"owner":{"name":"cvat.ai","githubUrl":"https://github.com/cvat-ai"},"license":"MIT","stars":16952,"contributors":321,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T11:11:13Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Web browser","Server","Cloud"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Try the free plan of CVAT Online in your browser, or install Docker to run CVAT yourself.","If self-hosting, create an admin account and sign in using Chrome or Edge.","Create a project, upload images or videos, and define labels to start annotating."],"officialDownload":null},{"slug":"a2a-protocol","name":"Agent2Agent (A2A) Protocol","repo":"a2aproject/A2A","githubUrl":"https://github.com/a2aproject/A2A","homepage":"https://a2a-protocol.org/","pageUrl":"/repo/a2a-protocol","category":"Developer building blocks","tagline":"A shared language that lets AI agents from different companies find each other and work together.","whatItDoes":["A protocol is an agreed set of rules for how programs talk to each other. A2A is an open protocol that lets AI agents built by different companies, with different tools and on different servers, communicate and collaborate.","With it, agents can find out what other agents can do, agree on how to exchange information (text, forms or media) and work together on long tasks. They can do this without revealing their inner workings.","This repository holds the specification. Software kits for Python, JavaScript and other languages are kept in separate projects, and the README links to a free short course on using A2A."],"whoFor":"Developers and companies building AI agents that need to work with agents from other systems.","useWithoutCoding":"Developers only","keywords":["ai agents","protocol","multi-agent","interoperability","standard"],"rating":3,"tags":[],"owner":{"name":"Agent2Agent (A2A) Project","githubUrl":"https://github.com/a2aproject"},"license":"Apache-2.0","stars":26199,"contributors":176,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T07:05:47Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"understand-anything","name":"Understand Anything","repo":"Egonex-AI/Understand-Anything","githubUrl":"https://github.com/Egonex-AI/Understand-Anything","homepage":"https://understand-anything.com/","pageUrl":"/repo/understand-anything","category":"Add-ons for AI coding tools","tagline":"Turns a software project or notes collection into an interactive map you can explore and ask questions about.","whatItDoes":["Joining a project with hundreds of thousands of lines of code is overwhelming. Understand Anything is a plug-in for AI coding tools such as Claude Code, Codex, Cursor and Copilot. It has AI read through a project and build a \"knowledge graph\": a map of every file and piece of code and how they connect.","You then explore that map in an interactive dashboard in your browser. Click any part to see a plain-English summary, follow guided tours in a sensible order, search by meaning (\"which parts handle logins?\"), or see which areas a change would affect. It can also map a wiki-style collection of notes.","The first scan of a large project can use a lot of AI tokens (the units AI services bill by), so the README suggests a subscription plan or a local model. Later scans only look at files that changed."],"whoFor":"Developers new to a codebase, and product managers or others who need to understand how a software project fits together.","useWithoutCoding":"With some setup","keywords":["understand code","code map","knowledge graph","onboarding","documentation"],"rating":3,"tags":["Fast-rising"],"owner":{"name":"EgonexAI","githubUrl":"https://github.com/Egonex-AI"},"license":"MIT","stars":86896,"contributors":72,"monthlyDownloads":null,"lastPushedAt":"2026-10-12T10:24:59Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Linux","Windows"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install the plugin in Claude Code or another supported AI coding tool.","Run its understand command in your project to build the map.","Open the dashboard to explore the map in your browser."],"officialDownload":null},{"slug":"instructor","name":"Instructor","repo":"567-labs/instructor","githubUrl":"https://github.com/567-labs/instructor","homepage":"https://python.useinstructor.com/","pageUrl":"/repo/instructor","category":"Developer building blocks","tagline":"Helps programs get neat, checked data back from AI chat models instead of loose text.","whatItDoes":["Instructor is a Python code library for getting structured data out of AI language models. A programmer describes the shape of the information they want, such as a name and an age, and Instructor asks the model and returns it in that exact form.","If the answer doesn't fit the expected shape, it automatically asks the model again. It can also stream partial answers and handle data with several layers.","The same code works with many AI providers, including OpenAI, Anthropic and Google, and with local models through Ollama."],"whoFor":"Python developers who need reliable, structured answers from AI models in their apps.","useWithoutCoding":"Developers only","keywords":["structured data","json from ai","data extraction","python library"],"rating":3,"tags":["Widely used","New this week"],"owner":{"name":"567-labs","githubUrl":"https://github.com/567-labs"},"license":"MIT","stars":14033,"contributors":267,"monthlyDownloads":8516567,"lastPushedAt":"2026-10-14T22:21:57Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"wandb","name":"Weights & Biases","repo":"wandb/wandb","githubUrl":"https://github.com/wandb/wandb","homepage":"https://wandb.ai/","pageUrl":"/repo/wandb","category":"Training & fine-tuning","tagline":"Keeps a record of your AI training experiments so you can track, compare and share results.","whatItDoes":["When people train AI models, they run many experiments with different settings. Weights & Biases (W&B) is a code library that records each run: the settings used, the scores it reached and the files it made. You can then view charts of the results on the W&B website.","It works with many popular machine-learning tools. W&B can be used in its cloud service or installed on your own servers. The makers also offer Weave, a related set of tools for checking and monitoring AI chat apps."],"whoFor":"Data scientists and machine-learning engineers who train or fine-tune models and want to keep track of their work.","useWithoutCoding":"Developers only","keywords":["experiment tracking","machine learning dashboard","model training","mlops"],"rating":3,"tags":["Widely used","New this week"],"owner":{"name":"Weights & Biases","githubUrl":"https://github.com/wandb"},"license":"MIT","stars":11301,"contributors":258,"monthlyDownloads":14514596,"lastPushedAt":"2026-10-17T19:58:39Z","sources":[{"site":"Hacker News","title":"Analyzing the performance of Tensorflow training on M1 Mac Mini and Nvidia V100","url":"https://news.ycombinator.com/item?id=25773109","date":"2021-01-14"},{"site":"Hacker News","title":"AlphaFold's database grows over 200x to cover nearly all known proteins","url":"https://news.ycombinator.com/item?id=32313043","date":"2022-08-01"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Cloud","Server"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"kubeflow","name":"Kubeflow","repo":"kubeflow/kubeflow","githubUrl":"https://github.com/kubeflow/kubeflow","homepage":"https://www.kubeflow.org/","pageUrl":"/repo/kubeflow","category":"Running AI at scale","tagline":"A collection of open-source tools for building, training and running AI at scale on cloud servers.","whatItDoes":["Kubeflow is a family of open-source projects for handling data and AI work on Kubernetes, a popular system for running software across many servers. It aims to help teams get AI models, agents and apps into real-world use.","Its makers say it lets you run work at any size without being a Kubernetes expert, use the same code on a laptop or in any cloud, and mix and match tools across each stage of AI work. This repository is mainly a gateway: the individual tools are developed in their own repositories."],"whoFor":"Platform engineers, data scientists and organisations running AI on their own cloud infrastructure.","useWithoutCoding":"Developers only","keywords":["mlops","kubernetes","machine learning platform","training","cloud"],"rating":3,"tags":[],"owner":{"name":"Kubeflow","githubUrl":"https://github.com/kubeflow"},"license":"Apache-2.0","stars":15914,"contributors":327,"monthlyDownloads":null,"lastPushedAt":"2026-09-30T23:20:11Z","sources":[{"site":"Hacker News","title":"KuberLogic","url":"https://news.ycombinator.com/item?id=28829612","date":"2021-10-11"}],"checkedByPerson":false,"cost":"Free","runsOn":["Server","Cloud"],"hardware":"Made for servers or data centres","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"kilo-code","name":"Kilo Code","repo":"Kilo-Org/kilocode","githubUrl":"https://github.com/Kilo-Org/kilocode","homepage":"https://kilo.ai/","pageUrl":"/repo/kilo-code","category":"Coding assistants","tagline":"An open-source AI coding agent that writes, explains and fixes code in VS Code, JetBrains or the terminal.","whatItDoes":["Kilo Code is an AI assistant for programmers. You describe what you want in plain words and it writes or edits code across several files, suggests code as you type, and checks and corrects its own work. It can also run terminal commands and control a web browser.","It has separate modes for writing code, planning a design, answering questions about a project without changing it, and debugging. You can choose from hundreds of AI models and switch between them mid-task.","It runs as a VS Code extension, a JetBrains plugin, a command-line tool or in the cloud, and can review code changes automatically. The command-line tool is based on another open-source project, OpenCode."],"whoFor":"Programmers of any level who want an AI pair programmer in their usual tools.","useWithoutCoding":"With some setup","keywords":["coding assistant","vs code","ai programmer","autocomplete","jetbrains"],"rating":3,"tags":[],"owner":{"name":"Kilo Code","githubUrl":"https://github.com/Kilo-Org"},"license":"MIT","stars":27654,"contributors":1268,"monthlyDownloads":135363,"lastPushedAt":"2026-10-18T02:01:09Z","sources":[{"site":"Hacker News","title":"Claude Fable 5 vs. GPT-5.5: Better Planning, Similar Execution","url":"https://news.ycombinator.com/item?id=48517973","date":"2026-06-13"},{"site":"Hacker News","title":"Open-Weight Models Are Getting Serious: GLM 4.7 vs. MiniMax M2.1","url":"https://news.ycombinator.com/item?id=46932204","date":"2026-02-08"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Windows","Mac","Linux","Cloud"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install the Kilo Code extension in VS Code, or the plugin in a JetBrains editor.","Create a Kilo account to use its AI models, paying the model provider's usual rates.","Open your project and describe in plain words what you want built or fixed."],"officialDownload":"https://github.com/Kilo-Org/kilocode/releases"},{"slug":"wshobson-agents","name":"Agents (plugins for AI coding tools)","repo":"wshobson/agents","githubUrl":"https://github.com/wshobson/agents","homepage":"https://sethhobson.com/","pageUrl":"/repo/wshobson-agents","category":"Add-ons for AI coding tools","tagline":"A large collection of plugins, helper agents and skills that add new abilities to AI coding assistants.","whatItDoes":["This project is a catalogue of add-ons for AI coding tools. It contains plugins, specialised \"subagents\", skills and commands covering areas such as Python and JavaScript development, code review, testing and security checks.","The same collection works across several tools, including Claude Code, OpenAI Codex CLI, Cursor, OpenCode, Antigravity CLI, GitHub Copilot and Pi. Installation and features are adapted for each one.","You pick only the plugins you need, for example one for Python development, and then ask your coding assistant to use them."],"whoFor":"Programmers who use AI coding assistants and want ready-made expert helpers for common tasks.","useWithoutCoding":"Developers only","keywords":["plugins","claude code","coding assistant","skills","code review"],"rating":3,"tags":[],"owner":{"name":"Seth Hobson","githubUrl":"https://github.com/wshobson"},"license":"MIT","stars":41024,"contributors":90,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:07:28Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Open your AI coding tool, such as Claude Code, Codex or Cursor.","Add this project's plugin marketplace and install a plugin for your kind of work.","Ask the assistant to use the new agents for your task."],"officialDownload":null},{"slug":"docsgpt","name":"DocsGPT","repo":"arc53/DocsGPT","githubUrl":"https://github.com/arc53/DocsGPT","homepage":"https://app.docsgpt.cloud/","pageUrl":"/repo/docsgpt","category":"Documents & knowledge","tagline":"Builds private AI assistants that answer questions from your documents and apps, with sources.","whatItDoes":["DocsGPT turns your documents, websites and connected apps into AI assistants that answer questions and show where the answers came from. It can read PDFs, Office files, web pages, audio and more, and keep them in sync from places like Google Drive, SharePoint, Confluence and GitHub.","You can build agents with their own instructions, knowledge and tools, use a research mode for multi-step answers, and chain steps together in a drag-and-drop workflow builder.","It runs entirely in your own environment with the AI model you choose, cloud or local. You can add it to a website as a chat widget, or connect it to other software."],"whoFor":"Teams and organisations that want a private AI assistant for their own documents and knowledge.","useWithoutCoding":"With some setup","keywords":["chat with documents","company knowledge","private ai","search","ai assistant"],"rating":3,"tags":[],"owner":{"name":"Arc53","githubUrl":"https://github.com/arc53"},"license":"MIT","stars":18323,"contributors":268,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:18:50Z","sources":[{"site":"Hacker News","title":"Show HN: DocsGPT, open-source documentation assistant, fully aware of libraries","url":"https://news.ycombinator.com/item?id=34648266","date":"2023-02-03"}],"checkedByPerson":false,"cost":null,"runsOn":["Mac","Linux","Windows","Web browser","Cloud"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Docker, then run DocsGPT's one-command installer for Mac, Linux or Windows.","Answer its questions about who can reach it and which AI model to use.","Open DocsGPT in your browser, or try the hosted DocsGPT Cloud instead."],"officialDownload":null},{"slug":"kornia","name":"Kornia","repo":"kornia/kornia","githubUrl":"https://github.com/kornia/kornia","homepage":"https://kornia.readthedocs.io/","pageUrl":"/repo/kornia","category":"Developer building blocks","tagline":"A computer vision code library that lets AI models edit, transform and understand images.","whatItDoes":["Kornia is a library of image tools built on PyTorch. It includes filters, blurs, edge detection, colour changes, rotations and 3D geometry, all designed to slot into AI training.","It also offers ways to create varied training images automatically, plus ready-trained models for jobs such as face detection, matching points between photos and cutting objects out of images.","Its makers describe it as a reference for computer vision and geometry in the PyTorch world. There are tutorials and a playground to try it in the browser."],"whoFor":"Developers and researchers building computer vision or robotics systems.","useWithoutCoding":"Developers only","keywords":["computer vision","image processing","pytorch","robotics"],"rating":3,"tags":["New this week"],"owner":{"name":"kornia","githubUrl":"https://github.com/kornia"},"license":"Apache-2.0","stars":11434,"contributors":506,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T22:08:33Z","sources":[{"site":"Hacker News","title":"Kornia: Differential Computer Vision","url":"https://news.ycombinator.com/item?id=31322136","date":"2022-05-10"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"awesome-production-machine-learning","name":"Awesome Production Machine Learning","repo":"EthicalML/awesome-production-machine-learning","githubUrl":"https://github.com/EthicalML/awesome-production-machine-learning","homepage":"https://ethicalml.github.io/awesome-production-machine-learning","pageUrl":"/repo/awesome-production-machine-learning","category":"Learning resources","tagline":"A curated list of open-source tools for running, monitoring and scaling machine learning in real products.","whatItDoes":["Building a model is one step; keeping it running reliably for real users is another. This list gathers open-source tools for that second step: deploying, monitoring, versioning, scaling and securing machine learning.","It is organised into sections and updated regularly, with monthly summaries of new additions. There is also a search tool and a short overview video.","It also covers topics like explaining model decisions and protecting privacy."],"whoFor":"Machine learning engineers and technical teams choosing tools for production systems.","useWithoutCoding":"Yes","keywords":["mlops","tools list","deploy ai","monitoring"],"rating":3,"tags":[],"owner":{"name":"The Institute for Ethical Machine Learning","githubUrl":"https://github.com/EthicalML"},"license":"MIT","stars":21017,"contributors":221,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T18:09:27Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Browse the list by section, such as deployment or monitoring, on the project's GitHub page.","Follow a link to learn more about any tool that interests you."],"officialDownload":null},{"slug":"diagram-design","name":"Diagram Design","repo":"cathrynlavery/diagram-design","githubUrl":"https://github.com/cathrynlavery/diagram-design","homepage":"https://diagramdesign.dev/","pageUrl":"/repo/diagram-design","category":"Add-ons for AI coding tools","tagline":"Lets your AI assistant draw clean, on-brand diagrams from a plain-English request.","whatItDoes":["Diagram Design is a \"skill\", an add-on that teaches AI coding assistants a new ability. Once installed, you can ask for something like \"an architecture diagram of my app\" or \"a chart of projects by impact versus effort\".","The assistant picks a diagram type from dozens of options and writes a single web-page file you can open by double-clicking. It can copy the colours and fonts from your website so diagrams match your brand.","It works with many assistants, including Claude Code, Codex, GitHub Copilot and Cursor, and can import diagrams from tools like draw.io, Mermaid or Excalidraw."],"whoFor":"People who already use an AI coding assistant and want good-looking diagrams for docs or presentations.","useWithoutCoding":"With some setup","keywords":["diagrams","flowchart","architecture diagram","charts","agent skill"],"rating":3,"tags":["Fast-rising"],"owner":{"name":"Cathryn Lavery","githubUrl":"https://github.com/cathrynlavery"},"license":"MIT","stars":57727,"contributors":56,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T19:42:46Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Use an AI assistant that supports Agent Skills, such as Claude Code, Cursor or Codex.","Install the diagram-design skill into that assistant."],"officialDownload":null},{"slug":"aionui","name":"AionUi","repo":"iOfficeAI/AionUi","githubUrl":"https://github.com/iOfficeAI/AionUi","homepage":"https://www.aionui.com/","pageUrl":"/repo/aionui","category":"AI agents","tagline":"A free desktop app where AI agents work alongside you on your computer: reading files, writing documents and automating tasks.","whatItDoes":["AionUi is a \"cowork\" app: AI agents work on your computer with you, reading and writing files, browsing the web and running multi-step tasks. You see what the agent does and approve its actions.","It has its own built-in agent, so you can start by pasting in a key for an AI model. It also ships ready-made assistants for jobs like making PowerPoint slides, Word documents and Excel spreadsheets.","If you already use coding agents like Claude Code or Codex, it can detect them and run them in the same window. You can also reach it from your phone and schedule tasks to run unattended."],"whoFor":"People who want an AI helper that can work with files on their computer, and users of command-line agents who want a friendlier interface.","useWithoutCoding":"Yes","keywords":["ai assistant app","cowork","powerpoint","excel","desktop app"],"rating":3,"tags":[],"owner":{"name":"AionUi","githubUrl":"https://github.com/iOfficeAI"},"license":"Apache-2.0","stars":33614,"contributors":116,"monthlyDownloads":null,"lastPushedAt":"2026-10-14T04:18:39Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Download the app for macOS, Windows or Linux from the project's releases page.","Paste an API key from an AI provider to get started.","Pick a built-in assistant, such as the PowerPoint or Word creator, and give it a task."],"officialDownload":"https://github.com/iOfficeAI/AionUi/releases"},{"slug":"coder","name":"Coder","repo":"coder/coder","githubUrl":"https://github.com/coder/coder","homepage":"https://coder.com/","pageUrl":"/repo/coder","category":"Coding assistants","tagline":"Self-hosted cloud workspaces for developers, plus AI coding agents that run on your company's own servers.","whatItDoes":["Coder lets companies give developers ready-to-use coding environments on their own cloud or servers, instead of everyone setting up their own laptop. Environments are defined as templates and shut down automatically when idle to save money.","It can also hand coding tasks to AI agents that run on the company's own infrastructure, using any AI model. AI keys stay out of the workspaces, every action is tied to a real user, and admins get central controls for model access, cost tracking and audit logs. Agents like Claude Code, Codex and OpenCode can also run inside isolated Coder workspaces.","There is a free open-source version and a paid Premium tier for large teams."],"whoFor":"Engineering and IT teams managing development environments and AI coding agents for many people.","useWithoutCoding":"Developers only","keywords":["cloud development","remote workspaces","ai coding agents","self-hosted","devops"],"rating":3,"tags":[],"owner":{"name":"Coder","githubUrl":"https://github.com/coder"},"license":"AGPL-3.0","stars":17090,"contributors":283,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:43:36Z","sources":[{"site":"Hacker News","title":"If you’re trying to hack/deface a website, don’t submit a pull request","url":"https://news.ycombinator.com/item?id=4910212","date":"2012-12-12"},{"site":"Hacker News","title":"Show HN: Codervault – Open-Source, Self-Hosted Snippet Manager","url":"https://news.ycombinator.com/item?id=12397687","date":"2016-08-31"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Mac","Windows","Linux","Server"],"hardware":"Made for servers or data centres","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Coder on Linux or Mac with its install script, or on Windows from the releases page.","Start the Coder server and open it in your browser to create the first user.","Create a workspace template and start your first workspace."],"officialDownload":"https://github.com/coder/coder/releases"},{"slug":"haystack","name":"Haystack","repo":"deepset-ai/haystack","githubUrl":"https://github.com/deepset-ai/haystack","homepage":"https://haystack.deepset.ai/","pageUrl":"/repo/haystack","category":"Developer building blocks","tagline":"A Python framework for building AI apps that search documents, answer questions and run agents.","whatItDoes":["Haystack lets programmers build AI apps out of connected steps, called pipelines. A pipeline might find the right documents, pass them to an AI model, and return an answer.","It's used for search, question answering, chatbots and AI agents. Its makers focus on giving developers clear control over each step."],"whoFor":"Python developers building document search and AI assistants.","useWithoutCoding":"Developers only","keywords":["rag","search","question answering","ai framework","python"],"rating":3,"tags":[],"owner":{"name":"deepset","githubUrl":"https://github.com/deepset-ai"},"license":"Apache-2.0","stars":26770,"contributors":508,"monthlyDownloads":566454,"lastPushedAt":"2026-10-17T02:14:47Z","sources":[{"site":"Hacker News","title":"Haystack 1.0 – open-source NLP framework to build NLProc back end applications","url":"https://news.ycombinator.com/item?id=29501045","date":"2021-12-09"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":[],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"nemoclaw","name":"NVIDIA NemoClaw","repo":"NVIDIA/NemoClaw","githubUrl":"https://github.com/NVIDIA/NemoClaw","homepage":"https://docs.nvidia.com/nemoclaw/latest/","pageUrl":"/repo/nemoclaw","category":"AI agents","tagline":"Runs AI agents such as OpenClaw and Hermes inside a protected sandbox, with network rules and managed AI models.","whatItDoes":["NemoClaw is a ready-made setup from NVIDIA for running AI agents more safely. It places supported agents, currently OpenClaw, Hermes and LangChain Deep Agents Code, inside NVIDIA OpenShell \"sandboxes\", sealed-off spaces that limit what an agent can touch.","It provides guided setup, connects the agent to an AI model provider, applies network rules about what the agent can reach, and keeps the agent's saved state. A command-line tool handles starting, stopping and managing agents.","You can install it with a terminal installer, or ask your coding assistant to walk you through setup using a starter prompt the project provides."],"whoFor":"Developers and technical users who want to run autonomous AI agents with stronger safety controls.","useWithoutCoding":"With some setup","keywords":["ai agents","sandbox","secure agents","openclaw","nvidia"],"rating":3,"tags":["Fast-rising"],"owner":{"name":"NVIDIA Corporation","githubUrl":"https://github.com/NVIDIA"},"license":"Apache-2.0","stars":22765,"contributors":187,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:24:32Z","sources":[{"site":"Hacker News","title":"Nvidia NemoClaw","url":"https://news.ycombinator.com/item?id=47427027","date":"2026-03-18"}],"checkedByPerson":false,"cost":null,"runsOn":["Windows","Server"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Check the prerequisites page in the NemoClaw documentation to make sure your computer is supported.","Run the NemoClaw installer and accept the express install to set up the default OpenClaw agent.","Or copy NemoClaw's starter prompt into your AI coding agent and let it guide the install with you."],"officialDownload":null},{"slug":"scientific-agent-skills","name":"Scientific Agent Skills","repo":"K-Dense-AI/scientific-agent-skills","githubUrl":"https://github.com/K-Dense-AI/scientific-agent-skills","homepage":"https://arxiv.org/abs/2609.00065","pageUrl":"/repo/scientific-agent-skills","category":"Add-ons for AI coding tools","tagline":"Adds ready-made science know-how to AI assistants, from genetics and chemistry to data analysis and paper writing.","whatItDoes":["This is a library of \"skills\": written instructions that teach an AI assistant how to do specialised research tasks properly. It covers biology, chemistry, medicine, physics, engineering, earth science, data analysis and scientific writing.","The skills explain how to use well-known scientific software and public databases, such as PubChem and ClinicalTrials.gov. They also cover tasks like literature reviews, drafting experiment plans, making publication-quality charts and responding to reviewers.","It works with AI coding tools that support the open Agent Skills standard, such as Claude Code, Cursor and Codex. Its makers note that the health-related skills are for research, not for diagnosing or treating patients."],"whoFor":"Scientists, lab researchers and students who use AI assistants for research work.","useWithoutCoding":"With some setup","keywords":["science","research","biology","chemistry","lab"],"rating":3,"tags":["Fast-rising","Research-backed"],"owner":{"name":"K-Dense","githubUrl":"https://github.com/K-Dense-AI"},"license":"MIT","stars":52668,"contributors":59,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T23:57:39Z","sources":[{"site":"Research paper","title":"Scientific Agent Skills: A Library of Procedural Knowledge for Research Agents","url":"https://arxiv.org/abs/2609.00065","date":"2026-09-01"},{"site":"Hacker News","title":"Successful room temperature ambient-pressure magnetic levitation of LK-99","url":"https://news.ycombinator.com/item?id=36994214","date":"2023-08-04"},{"site":"Hacker News","title":"The first room-temperature ambient-pressure superconductor?","url":"https://news.ycombinator.com/item?id=36864624","date":"2023-07-25"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Use an AI assistant that supports Agent Skills, such as Claude Code, Cursor or Codex.","Add this skill collection to your assistant, then ask it a science question in plain language."],"officialDownload":null},{"slug":"claude-hud","name":"Claude HUD","repo":"jarrodwatts/claude-hud","githubUrl":"https://github.com/jarrodwatts/claude-hud","homepage":null,"pageUrl":"/repo/claude-hud","category":"Add-ons for AI coding tools","tagline":"Shows a live status bar in Claude Code with how much memory is used, usage limits and what's running.","whatItDoes":["Claude HUD is a plugin for Claude Code, Anthropic's AI coding assistant. It adds a status line under where you type, so you can see what's going on at a glance.","By default it shows the model, your project and how full the AI's working memory (its \"context\") is, plus your usage limits and when they reset. You can turn on extra lines that show which tools are running, which helper agents are working and progress on to-do items.","A guided setup lets you choose what to show. Labels come in English and Chinese."],"whoFor":"People who use Claude Code and want to keep an eye on usage and activity.","useWithoutCoding":"With some setup","keywords":["claude code","status bar","usage limits","plugin","dashboard"],"rating":3,"tags":["Fast-rising"],"owner":{"name":"Jarrod Watts","githubUrl":"https://github.com/jarrodwatts"},"license":"MIT","stars":28628,"contributors":135,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T00:02:47Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open Claude Code and add the Claude HUD plugin from its marketplace.","Run the plugin's setup command so the status bar appears below your input.","Customise it later with the configure command, or by asking Claude."],"officialDownload":null},{"slug":"superpowers","name":"Superpowers","repo":"obra/superpowers","githubUrl":"https://github.com/obra/superpowers","homepage":null,"pageUrl":"/repo/superpowers","category":"Add-ons for AI coding tools","tagline":"Teaches your AI coding assistant a careful, step-by-step way to plan, build and check software.","whatItDoes":["Superpowers is a set of \"skills\" (ready-made instructions) that you add to an AI coding assistant such as Claude Code, Codex, Cursor or Gemini CLI. It changes how the assistant works rather than what it knows.","Instead of jumping straight into writing code, the assistant first asks what you are really trying to build. It shows you the plan in short, readable chunks, and only starts once you approve. It then breaks the work into small tasks, hands them to helper agents, and reviews their work as it goes.","The skills switch on automatically when they are needed. Its makers say the assistant can often work on its own for a couple of hours while sticking to the agreed plan."],"whoFor":"Programmers who use AI coding assistants and want more planning, testing and review built into the process.","useWithoutCoding":"With some setup","keywords":["coding assistant","plugin","planning","claude code","software development"],"rating":3,"tags":[],"owner":{"name":"Jesse Vincent","githubUrl":"https://github.com/obra"},"license":"MIT","stars":301671,"contributors":44,"monthlyDownloads":null,"lastPushedAt":"2026-10-10T03:03:30Z","sources":[],"checkedByPerson":true,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Install an AI coding tool such as Claude Code, Codex or Cursor.","Find Superpowers in that tool's plugin marketplace and install it.","Start a new session and describe what you want to build."],"officialDownload":null},{"slug":"omo","name":"OmO","repo":"code-yeongyu/oh-my-openagent","githubUrl":"https://github.com/code-yeongyu/oh-my-openagent","homepage":"https://omo.dev/","pageUrl":"/repo/omo","category":"Coding assistants","tagline":"An AI agent for your terminal that plans, writes code and checks its own work on bigger jobs.","whatItDoes":["OmO is a command-line AI agent. You open a project, type the job you want done, and it works on it. Its makers say it can handle research, slide decks, and front-end and back-end code.","Adding the word \"ultrawork\" to a request tells it to study the project first, plan, and check each step. \"Mass ulw\" splits a big job across many agents working in parallel, each using a model suited to its part.","It keeps a memory of you and your work in a folder of plain text files. It is built on a modified version of an open-source agent called Pi."],"whoFor":"Programmers who are comfortable in the terminal and want an AI agent for larger coding tasks.","useWithoutCoding":"Developers only","keywords":["coding agent","terminal","multi-agent","ai programmer"],"rating":3,"tags":["Fast-rising"],"owner":{"name":"YeonGyu-Kim","githubUrl":"https://github.com/code-yeongyu"},"license":"NOASSERTION","stars":70168,"contributors":367,"monthlyDownloads":37229,"lastPushedAt":"2026-10-19T01:30:27Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Linux","Windows"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install OmO with the one-line installer shown in the README.","Sign in with your Claude, ChatGPT or other AI subscription.","Open your project, start OmO and describe the job you want done."],"officialDownload":null},{"slug":"qwen-code","name":"Qwen Code","repo":"QwenLM/qwen-code","githubUrl":"https://github.com/QwenLM/qwen-code","homepage":"https://qwenlm.github.io/qwen-code-docs/en/users/overview","pageUrl":"/repo/qwen-code","category":"Coding assistants","tagline":"An open-source AI coding assistant for your terminal, code editor or desktop that works with many AI models.","whatItDoes":["Qwen Code is an AI coding agent from the team behind the Qwen models. You describe a task in plain language, and it reads your project, writes and edits code, runs tests and explains things. You can use it in the terminal, a desktop app, a web interface or code-editor plug-ins.","It works with Qwen models and also with OpenAI, Anthropic and Google models, other providers, and local models through Ollama or vLLM. Its makers compare it feature by feature with Claude Code. Extras include chatting with it through Telegram, DingTalk, WeChat or Feishu, and an \"arena\" that pits several models against each other on the same task.","It began as a copy of Google's Gemini CLI and has been developed separately since."],"whoFor":"Programmers who want an open-source coding agent they can use with the model of their choice.","useWithoutCoding":"With some setup","keywords":["coding agent","qwen","terminal","claude code alternative","open source"],"rating":3,"tags":[],"owner":{"name":"Qwen","githubUrl":"https://github.com/QwenLM"},"license":"Apache-2.0","stars":28566,"contributors":615,"monthlyDownloads":320024,"lastPushedAt":"2026-10-19T01:48:18Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux","Web browser"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download Qwen Code Desktop for Mac, Windows or Linux, or install the terminal version.","Set up your AI provider and API key, or connect a local model.","Open your project and ask it to explain the code."],"officialDownload":"https://github.com/QwenLM/qwen-code/releases"},{"slug":"spring-ai","name":"Spring AI","repo":"spring-projects/spring-ai","githubUrl":"https://github.com/spring-projects/spring-ai","homepage":"https://spring.io/projects/spring-ai","pageUrl":"/repo/spring-ai","category":"Developer building blocks","tagline":"A framework that helps Java developers connect their apps and data to AI models.","whatItDoes":["Spring AI is part of the Spring family of tools for Java. It gives developers one consistent way to work with many AI providers, including Anthropic, OpenAI, Google, Amazon Bedrock and Ollama.","It covers chat, image generation, transcription, text-to-speech and more. It also connects to many vector databases (stores that let AI search by meaning) for answering questions about your own data.","Other features include tool calling, chat memory, ways to check AI answers, and support for MCP, a standard for linking AI to outside tools."],"whoFor":"Java and Spring developers building AI into business software.","useWithoutCoding":"Developers only","keywords":["java ai","spring boot ai","rag","llm framework"],"rating":3,"tags":["New this week"],"owner":{"name":"Spring","githubUrl":"https://github.com/spring-projects"},"license":"Apache-2.0","stars":9553,"contributors":578,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T17:15:41Z","sources":[{"site":"Hacker News","title":"Kotlin support in Spring Framework 5.0","url":"https://news.ycombinator.com/item?id=14365178","date":"2017-05-18"},{"site":"Hacker News","title":"Spring Framework RCE, Early Announcement","url":"https://news.ycombinator.com/item?id=30865670","date":"2022-03-31"}],"checkedByPerson":false,"cost":"Free","runsOn":["Server"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"marketing-skills","name":"Marketing Skills for AI Agents","repo":"coreyhaines31/marketingskills","githubUrl":"https://github.com/coreyhaines31/marketingskills","homepage":"https://marketing-skills.com/","pageUrl":"/repo/marketing-skills","category":"Add-ons for AI coding tools","tagline":"Ready-made marketing know-how that AI assistants can use for copywriting, SEO, ads, pricing and growth tasks.","whatItDoes":["Skills are small instruction files that teach an AI assistant how to do a particular kind of task. This collection offers dozens of marketing skills for tools like Claude Code, Codex and Cursor. They cover copywriting, search-engine optimisation (SEO), A/B testing, email campaigns, ads, pricing pages, launches, customer research and more.","When you work on a marketing task, the assistant can recognise it and apply the matching frameworks. A foundation skill stores your product, audience and positioning, and the other skills check it first so their advice fits your business.","The library is free. The README lists some paid partner tools next to neutral options and says partners don't influence what the core skills recommend."],"whoFor":"Founders and marketers who use AI assistants, including newcomers to the terminal (a companion guide is offered for them).","useWithoutCoding":"With some setup","keywords":["marketing","copywriting","seo","ai skills","growth"],"rating":3,"tags":["Fast-rising"],"owner":{"name":"Corey Haines","githubUrl":"https://github.com/coreyhaines31"},"license":"MIT","stars":55388,"contributors":53,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T21:33:21Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Add these skill files to your project so your AI coding agent, such as Claude Code, can use them.","Fill in the product-marketing skill first, since every other skill reads it.","Then ask your agent for help with a marketing task, like a landing page."],"officialDownload":null},{"slug":"fish-speech","name":"Fish Speech","repo":"fishaudio/fish-speech","githubUrl":"https://github.com/fishaudio/fish-speech","homepage":"https://speech.fish.audio/","pageUrl":"/repo/fish-speech","category":"Speech & audio","tagline":"Open text-to-speech models that create expressive voices, clone voices and voice whole scenes from a script.","whatItDoes":["Fish Speech turns text into spoken audio. Its newest model, Drama 3, can voice several characters in one scene, clone a voice from a sample, and follow plain-language directions such as \"gentler, and a bit sadder\".","You can edit generated audio the way you edit text, for example swapping a single word while keeping the voice natural. Its makers say it handles long recordings and strong emotions like laughter, crying and whispers.","It can be run from the command line, as a server or through a web interface. A hosted version with a playground is available on the Fish Audio website."],"whoFor":"Creators, game and audio producers, and developers who need natural, controllable AI voices.","useWithoutCoding":"With some setup","keywords":["text to speech","voice cloning","ai voice","audiobook","voice acting"],"rating":3,"tags":["Research-backed"],"owner":{"name":"Fish Audio","githubUrl":"https://github.com/fishaudio"},"license":"NOASSERTION","stars":33270,"contributors":104,"monthlyDownloads":null,"lastPushedAt":"2026-10-14T06:14:59Z","sources":[{"site":"Research paper","title":"Fish Audio Drama 3 Technical Report","url":"https://arxiv.org/abs/2610.18010","date":"2026-10-01"},{"site":"Research paper","title":"Fish Audio S2 Technical Report","url":"https://arxiv.org/abs/2603.08823","date":"2026-03-01"},{"site":"Research paper","title":"Fish-Speech: Leveraging Large Language Models for Advanced Multilingual Text-to-Speech Synthesis","url":"https://arxiv.org/abs/2411.01156","date":"2024-11-01"},{"site":"Hacker News","title":"Fish Speech 1.5","url":"https://news.ycombinator.com/item?id=42322389","date":"2024-12-04"}],"checkedByPerson":true,"cost":"Free","runsOn":[],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Follow the installation guide on the project's website to set it up and download the model files.","Create speech using the command line, the web interface or the API server."],"officialDownload":"https://speech.fish.audio/install/"},{"slug":"machine-learning-systems","name":"Machine Learning Systems","repo":"harvard-edge/cs249r_book","githubUrl":"https://github.com/harvard-edge/cs249r_book","homepage":"https://mlsysbook.ai/","pageUrl":"/repo/machine-learning-systems","category":"Learning resources","tagline":"A free textbook series and course from Harvard on how to engineer real-world AI systems.","whatItDoes":["Machine Learning Systems is an open textbook series behind Harvard's CS249r course. It focuses on AI engineering: building AI systems that are efficient, reliable and safe in the real world, not just training models.","Alongside the books there are hands-on parts: TinyTorch, where you build the inner workings of an AI library yourself; interactive labs; hardware kits; and a simulator for computing setups you can't access. There are also materials for teachers.","Later volumes cover scaling, AI agents and physical AI such as robotics; some are still being written."],"whoFor":"Students, teachers and engineers who want to understand how AI systems are built and run.","useWithoutCoding":"Yes","keywords":["textbook","machine learning course","harvard","ai engineering","tinyml"],"rating":3,"tags":[],"owner":{"name":"Harvard Edge Computing","githubUrl":"https://github.com/harvard-edge"},"license":"NOASSERTION","stars":29069,"contributors":124,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:06:59Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the textbook website and start reading Volume I.","Try the interactive labs to explore the ideas from each chapter.","Build your own small machine learning framework with the TinyTorch exercises."],"officialDownload":null},{"slug":"chatbox","name":"Chatbox","repo":"chatboxai/chatbox","githubUrl":"https://github.com/chatboxai/chatbox","homepage":"https://chatboxai.app/?utm_medium=github","pageUrl":"/repo/chatbox","category":"Chat assistants","tagline":"A desktop and phone app for chatting with ChatGPT, Claude, Gemini and other AI models in one place.","whatItDoes":["Chatbox is an app for talking to AI chat models. You add your account key for a provider such as OpenAI, Anthropic (Claude) or Google Gemini, or connect it to Ollama to use models running on your own computer, and then chat as you would in ChatGPT.","Your chat history is stored on your own device. It supports formatted text, maths and code, a saved prompt library, image generation and dark mode, and it's available in many languages.","There are versions for Windows, Mac, Linux, iPhone and Android, plus a web version. This repository is the open-source Community Edition."],"whoFor":"Anyone who wants one tidy app for using several AI chat services, including people who prefer a desktop app to a website.","useWithoutCoding":"Yes","keywords":["chatgpt app","desktop","claude","chat","ollama"],"rating":3,"tags":[],"owner":{"name":"Chatbox AI","githubUrl":"https://github.com/chatboxai"},"license":"GPL-3.0","stars":42066,"contributors":74,"monthlyDownloads":null,"lastPushedAt":"2026-09-24T14:09:13Z","sources":[{"site":"Hacker News","title":"Chatbox app is back on the US app store","url":"https://news.ycombinator.com/item?id=45228766","date":"2025-09-13"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux","Phone","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the installer for your computer from the project's releases page.","Install and open Chatbox.","Set up your AI provider, such as OpenAI or Claude, in settings, then start chatting."],"officialDownload":"https://github.com/chatboxai/chatbox/releases"},{"slug":"mlc-llm","name":"MLC LLM","repo":"mlc-ai/mlc-llm","githubUrl":"https://github.com/mlc-ai/mlc-llm","homepage":"https://llm.mlc.ai/","pageUrl":"/repo/mlc-llm","category":"Run AI on your computer","tagline":"Prepares AI chat models to run directly on phones, laptops and in web browsers.","whatItDoes":["MLC LLM is an engine that takes AI language models and converts them so they run well on many kinds of devices. That includes computers with different graphics cards, Macs, iPhones and iPads, Android phones, and even web browsers.","Its makers' goal is to let everyone run AI models on their own devices. Apps can talk to the models in the same way they'd talk to OpenAI's service, which makes switching easier."],"whoFor":"Developers who want to put AI models inside apps on phones, computers or websites.","useWithoutCoding":"Developers only","keywords":["on-device ai","phone ai","offline","local llm","browser ai"],"rating":3,"tags":["Research-backed"],"owner":{"name":"mlc-ai","githubUrl":"https://github.com/mlc-ai"},"license":"Apache-2.0","stars":23253,"contributors":164,"monthlyDownloads":null,"lastPushedAt":"2026-10-06T23:36:40Z","sources":[{"site":"Research paper","title":"TensorIR: An Abstraction for Automatic Tensorized Program Optimization","url":"https://doi.org/10.1145/3575693.3576933","date":"2023-01-01"},{"site":"Research paper","title":"Tensor Program Optimization with Probabilistic Programs","url":"https://proceedings.neurips.cc/paper_files/paper/2022/file/e894eafae43e68b4c8dfdacf742bcbf3-Paper-Conference.pdf","date":"2022-01-01"},{"site":"Research paper","title":"TVM: An Automated End-to-End Optimizing Compiler for Deep Learning","url":"https://www.usenix.org/conference/osdi18/presentation/chen","date":"2018-01-01"},{"site":"Hacker News","title":"MLC-LLM: GPT/Llama on consumer-class GPUs and phones","url":"https://news.ycombinator.com/item?id=35763483","date":"2023-04-30"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Web browser","Phone"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"ruflo","name":"Ruflo","repo":"ruvnet/ruflo","githubUrl":"https://github.com/ruvnet/ruflo","homepage":"https://cognitum.one/","pageUrl":"/repo/ruflo","category":"Add-ons for AI coding tools","tagline":"Adds teams of cooperating AI helpers, shared memory and control tools to Claude Code and Codex.","whatItDoes":["Ruflo, formerly called Claude Flow, is a \"harness\" for AI coding assistants. A harness is the workbench around the AI model: it organizes tasks, carries information between steps and helps check results.","Its makers say it adds more than 100 specialized agents that can work together in groups, memory that lasts across sessions, and a way for agents on different machines to talk to each other. It also includes a console for creating and tracking tasks.","After setup, the idea is that you keep using Claude Code as normal while Ruflo coordinates the work in the background. Its makers note that its add-ons run with your account's permissions and suggest reviewing them before installing."],"whoFor":"Developers who use Claude Code or Codex heavily and want to run several AI agents together.","useWithoutCoding":"Developers only","keywords":["multi-agent","claude code","swarm","agent memory"],"rating":3,"tags":[],"owner":{"name":"rUv","githubUrl":"https://github.com/ruvnet"},"license":"MIT","stars":76549,"contributors":64,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:39:04Z","sources":[{"site":"Hacker News","title":"Sense Humans with WiFi – Ruview","url":"https://news.ycombinator.com/item?id=48157639","date":"2026-05-16"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Open Claude Code, which Ruflo is built to work with.","Add the Ruflo plugin marketplace and install its core, console and mods plugins.","Open the Ruflo console inside Claude Code to follow your agents' work."],"officialDownload":null},{"slug":"eliza","name":"elizaOS","repo":"elizaOS/eliza","githubUrl":"https://github.com/elizaOS/eliza","homepage":"https://elizaresearch.ai/","pageUrl":"/repo/eliza","category":"AI agents","tagline":"An open toolkit and app for building and running AI agents that chat, remember and act for you.","whatItDoes":["elizaOS is a framework for building autonomous AI agents, programs that can take actions on their own. It includes the core engine, a ready-made agent app called Eliza, a command-line tool and many plugins.","Through plugins, the Eliza app can chat by text or voice, remember things, work with documents, connect to messaging apps, help with calendars and reminders, automate a browser, and manage crypto wallets with approval steps.","What works depends on your device, the plugins you install and the AI services you connect. Developers can write their own agents and plugins."],"whoFor":"Developers building AI agents, and people curious to try a personal AI agent app.","useWithoutCoding":"Yes","keywords":["ai agent","personal assistant","chatbot","framework","plugins"],"rating":3,"tags":[],"owner":{"name":"elizaOS","githubUrl":"https://github.com/elizaOS"},"license":"MIT","stars":19622,"contributors":203,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:47:15Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Web browser","Phone","Linux","Cloud"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Open the Eliza web app, or download the Eliza app for your device from the project's downloads page.","Choose whether the AI runs on your own device, through your own AI provider, or through Eliza Cloud."],"officialDownload":null},{"slug":"screenpipe","name":"screenpipe","repo":"screenpipe/screenpipe","githubUrl":"https://github.com/screenpipe/screenpipe","homepage":"https://screenpipe.com/","pageUrl":"/repo/screenpipe","category":"Everyday tools","tagline":"Records your screen and audio on your own computer so AI can search, summarise and automate your work.","whatItDoes":["screenpipe continuously captures what's on your screen and what you hear while you work, and stores it on your device. You can then search it in plain language, like \"what did I see in the last five minutes?\" or \"summarise today's conversations\".","For companies, its makers say it can map how people work and point out tasks worth automating. It can also give AI agents context about what you do, and connect to Claude and other assistants through MCP, a standard way to plug tools into AI.","Recordings stay on your device by default. Cloud AI, syncing and team storage are separate options with their own data paths."],"whoFor":"People and companies who want a searchable memory of their computer work and help finding tasks to automate.","useWithoutCoding":"Yes","keywords":["screen recording","memory","search my computer","productivity","automation"],"rating":3,"tags":[],"owner":{"name":"screenpipe","githubUrl":"https://github.com/screenpipe"},"license":"NOASSERTION","stars":21979,"contributors":174,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:08:39Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the desktop app for Mac, Windows or Linux from the screenpipe website.","Ask an AI assistant questions like what you saw in the last five minutes."],"officialDownload":"https://screenpipe.com/how-to-install"},{"slug":"corsair","name":"Corsair","repo":"corsairdev/corsair","githubUrl":"https://github.com/corsairdev/corsair","homepage":"https://corsair.dev/","pageUrl":"/repo/corsair","category":"Developer building blocks","tagline":"Helps developers connect AI agents and apps to many outside services through one common setup.","whatItDoes":["Corsair is an integration platform. It helps software, including AI agents, connect to other services and apps that a user has, such as the tools they use at work.","Its makers say every integration uses the same style of code, so developers don't need to write new connecting code for each service. It is built on a regular web API, so it works for agents, backend software and customer dashboards, not only through MCP.","You can host it yourself, or use their hosted Hub, which handles the logins (OAuth) and update notifications for you."],"whoFor":"Developers building AI agents or products that need to work with many third-party apps.","useWithoutCoding":"Developers only","keywords":["integrations","api","connect apps","ai agents","oauth"],"rating":3,"tags":[],"owner":{"name":"corsairdev","githubUrl":"https://github.com/corsairdev"},"license":"NOASSERTION","stars":15309,"contributors":275,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:31:50Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"prompt-engineering-guide","name":"Prompt Engineering Guide","repo":"dair-ai/Prompt-Engineering-Guide","githubUrl":"https://github.com/dair-ai/Prompt-Engineering-Guide","homepage":"https://www.promptingguide.ai/","pageUrl":"/repo/prompt-engineering-guide","category":"Learning resources","tagline":"A free guide to writing better instructions for AI chatbots, from basics to advanced methods.","whatItDoes":["\"Prompt engineering\" means learning how to word your requests to an AI model so you get better answers. This guide collects lessons, examples, research papers and tools on the topic.","It starts with the basics, such as what a prompt is made of and general tips, then moves on to named techniques like giving examples, asking the AI to reason step by step, and connecting the AI to outside documents. It also covers uses such as generating code or data.","The guide is available as a website in many languages. The same team also sells paid courses, which are separate from this free material."],"whoFor":"Anyone who uses AI chatbots and wants better results, plus developers building with AI models.","useWithoutCoding":"Yes","keywords":["prompts","chatgpt tips","how to ask ai","prompt guide","learn ai"],"rating":3,"tags":[],"owner":{"name":"DAIR.AI","githubUrl":"https://github.com/dair-ai"},"license":"MIT","stars":79301,"contributors":212,"monthlyDownloads":null,"lastPushedAt":"2026-03-11T20:09:13Z","sources":[{"site":"Hacker News","title":"Prompt Engineering Guide: Guides, papers, and resources for prompt engineering","url":"https://news.ycombinator.com/item?id=34883486","date":"2023-02-21"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the web version of the guide in your browser.","Start with the introduction and basics of prompting, then try the techniques."],"officialDownload":null},{"slug":"nanobot","name":"nanobot","repo":"HKUDS/nanobot","githubUrl":"https://github.com/HKUDS/nanobot","homepage":"https://nanobot.wiki/","pageUrl":"/repo/nanobot","category":"AI agents","tagline":"A small, self-hosted personal AI agent you can use in a browser, terminal or chat apps like Telegram.","whatItDoes":["nanobot is a personal AI agent you run yourself. You can talk to it in a web page, in the terminal, or through chat apps such as Telegram, Discord, Slack, WeChat and email.","It can read PDF, Word, Excel and PowerPoint files, search the web, run scheduled tasks and remember your preferences over time. It can also hand work to other agents and connect to more tools through MCP.","It does not include an AI model itself. You connect it to a model provider or a model running on your own computer. Its makers keep the core small so it is easy to read and change."],"whoFor":"People who want their own AI assistant reachable from their chat apps, and developers who want a simple agent to build on.","useWithoutCoding":"With some setup","keywords":["personal assistant","telegram bot","self-hosted","ai agent","chatbot"],"rating":3,"tags":["Fast-rising"],"owner":{"name":"✨Data Intelligence Lab@HKU✨","githubUrl":"https://github.com/HKUDS"},"license":"MIT","stars":49154,"contributors":495,"monthlyDownloads":47015,"lastPushedAt":"2026-10-18T17:21:41Z","sources":[{"site":"Hacker News","title":"Nanobot: Ultra-Lightweight Alternative to OpenClaw","url":"https://news.ycombinator.com/item?id=46897737","date":"2026-02-05"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Server"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["If you're new to this, follow the project's guide for people without a technical background.","Choose an AI provider or local model, then chat in the browser or a chat app."],"officialDownload":null},{"slug":"langflow","name":"Langflow","repo":"langflow-ai/langflow","githubUrl":"https://github.com/langflow-ai/langflow","homepage":"http://www.langflow.org/","pageUrl":"/repo/langflow","category":"App builders & workflows","tagline":"Build AI chatbots, agents and workflows by connecting blocks on a visual canvas.","whatItDoes":["Langflow is a visual builder for AI apps. You drag blocks onto a canvas and connect them to create a workflow, for example a chatbot that looks things up in your documents or an AI agent that uses tools.","You can test each workflow in a built-in playground and watch it run step by step. Finished workflows can be shared with other software as an API (a doorway that lets programs talk to each other) or as an MCP server, a standard way to give AI assistants new tools.","Programmers can open up any block and change its Python code. There is a desktop app for Windows and macOS, and it can also be installed as a Python package or run with Docker."],"whoFor":"People who want to prototype AI apps without much coding, and developers who want a visual way to build and test AI workflows.","useWithoutCoding":"Yes","keywords":["chatbot builder","no-code ai","workflow","ai agents","visual editor"],"rating":3,"tags":[],"owner":{"name":"Langflow","githubUrl":"https://github.com/langflow-ai"},"license":"MIT","stars":155811,"contributors":398,"monthlyDownloads":37742,"lastPushedAt":"2026-10-19T00:39:17Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Mac","Cloud"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Download Langflow Desktop for Windows or Mac from the Langflow website.","Open it and build a flow by connecting blocks on the canvas.","Test your flow in the built-in playground."],"officialDownload":"https://www.langflow.org/desktop"},{"slug":"fastbook","name":"The fastai Book","repo":"fastai/fastbook","githubUrl":"https://github.com/fastai/fastbook","homepage":null,"pageUrl":"/repo/fastbook","category":"Learning resources","tagline":"The full fastai deep-learning book as interactive notebooks you can read and run for free.","whatItDoes":["This is the text of the fastai book on deep learning, published as Jupyter notebooks: documents that mix explanations with code you can run. It introduces deep learning, the fastai library and PyTorch.","The notebooks are used for a free online course and form the basis of a printed book. You can open any chapter in Google Colab, a free online notebook service, without installing anything."],"whoFor":"Beginners with some coding experience who want a practical introduction to deep learning.","useWithoutCoding":"Yes","keywords":["learn deep learning","book","course","pytorch","notebooks"],"rating":3,"tags":[],"owner":{"name":"fast.ai","githubUrl":"https://github.com/fastai"},"license":"NOASSERTION","stars":25394,"contributors":132,"monthlyDownloads":null,"lastPushedAt":"2026-10-12T20:57:26Z","sources":[{"site":"Hacker News","title":"Draft of the Fast.ai Book","url":"https://news.ycombinator.com/item?id=22449562","date":"2020-02-29"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Open any chapter of the book in Google Colab using the links in the README.","Work through the notebooks in order, running the code as you read."],"officialDownload":null},{"slug":"ai-for-beginners","name":"AI for Beginners","repo":"microsoft/AI-For-Beginners","githubUrl":"https://github.com/microsoft/AI-For-Beginners","homepage":null,"pageUrl":"/repo/ai-for-beginners","category":"Learning resources","tagline":"A free 12-week, 24-lesson course from Microsoft that teaches the basics of artificial intelligence.","whatItDoes":["AI for Beginners is a free curriculum with lessons, quizzes and hands-on labs. It's spread over 12 weeks and 24 lessons.","It covers older \"symbolic\" approaches to AI, neural networks and deep learning, the techniques behind modern AI, and how computers work with images and text. It also touches on genetic algorithms, multi-agent systems and the ethics of AI. Code examples use the popular TensorFlow and PyTorch tools.","It doesn't cover business uses of AI, classic machine learning or chatbots in depth, and points to other Microsoft courses for those. The lessons are translated into many languages."],"whoFor":"Beginners, students and teachers who want a structured introduction to how AI works.","useWithoutCoding":"Yes","keywords":["learn ai","free course","beginners","deep learning","neural networks"],"rating":3,"tags":[],"owner":{"name":"Microsoft","githubUrl":"https://github.com/microsoft"},"license":"MIT","stars":69959,"contributors":90,"monthlyDownloads":null,"lastPushedAt":"2026-09-16T20:17:56Z","sources":[{"site":"Hacker News","title":"Artificial Intelligence for Beginners","url":"https://news.ycombinator.com/item?id=36306877","date":"2023-06-13"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser","Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the course setup lesson to prepare your learning environment.","Work through the 24 lessons in order, with their quizzes and labs.","Run the lab notebooks online through Binder, or download a copy to your computer."],"officialDownload":null},{"slug":"openbb","name":"OpenBB Open Data Platform","repo":"openbq-org/OpenBB","githubUrl":"https://github.com/openbq-org/OpenBB","homepage":"https://openbb.co/","pageUrl":"/repo/openbb","category":"Developer building blocks","tagline":"Pulls financial and economic data from many sources into one place for analysts, spreadsheets and AI agents.","whatItDoes":["OpenBB's Open Data Platform is a toolkit that gathers financial data, such as stock prices and economic figures, from public, licensed and paid sources. You connect a data source once and can then use it in many places.","The same data can be used from Python code, in Excel, in the OpenBB Workspace dashboard, through a web API, or by AI agents through MCP (a standard way for AI assistants to use outside tools).","There is also a command-line tool for looking up data directly."],"whoFor":"Data engineers, quantitative analysts and developers who build finance dashboards or AI research tools.","useWithoutCoding":"Developers only","keywords":["stock data","finance","economics","market data","investing research"],"rating":3,"tags":[],"owner":{"name":"openbq-org","githubUrl":"https://github.com/openbq-org"},"license":"NOASSERTION","stars":74408,"contributors":272,"monthlyDownloads":60485,"lastPushedAt":"2026-10-18T20:30:02Z","sources":[],"checkedByPerson":true,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"ml-agents","name":"Unity ML-Agents Toolkit","repo":"Unity-Technologies/ml-agents","githubUrl":"https://github.com/Unity-Technologies/ml-agents","homepage":"https://unity.com/products/machine-learning-agents","pageUrl":"/repo/ml-agents","category":"Robotics & simulation","tagline":"Turns Unity games and 3D simulations into practice worlds where AI characters learn by trial and error.","whatItDoes":["ML-Agents lets game developers, researchers and hobbyists train AI \"agents\", characters or robots that learn behaviours, inside games and simulations built with the Unity game engine.","Agents can learn by trial and error with rewards (reinforcement learning) or by copying recorded demonstrations (imitation learning). Several agents can learn to cooperate or compete, and tasks can start easy and get harder over time. It comes with many example environments and uses PyTorch behind the scenes.","Trained behaviours can then run inside Unity games on many platforms. The README notes that Unity collects some usage data inside the editor."],"whoFor":"Game developers, AI researchers and students exploring how agents learn.","useWithoutCoding":"Developers only","keywords":["game ai","reinforcement learning","unity","train agents","simulation"],"rating":3,"tags":["Research-backed"],"owner":{"name":"Unity Technologies","githubUrl":"https://github.com/Unity-Technologies"},"license":"NOASSERTION","stars":19770,"contributors":179,"monthlyDownloads":null,"lastPushedAt":"2026-10-13T14:41:03Z","sources":[{"site":"Research paper","title":"Unity: A General Platform for Intelligent Agents","url":"https://arxiv.org/abs/1809.02627","date":"2018-09-01"},{"site":"Hacker News","title":"Hyper-realistic digital humans in Unity","url":"https://news.ycombinator.com/item?id=30769560","date":"2022-03-22"},{"site":"Hacker News","title":"Unity Learn platform free for three months","url":"https://news.ycombinator.com/item?id=22687062","date":"2020-03-25"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":"https://github.com/Unity-Technologies/ml-agents/releases"},{"slug":"ms-swift","name":"ms-swift","repo":"modelscope/ms-swift","githubUrl":"https://github.com/modelscope/ms-swift","homepage":"https://swift.readthedocs.io/zh-cn/latest/","pageUrl":"/repo/ms-swift","category":"Training & fine-tuning","tagline":"A toolkit for training, adapting and deploying hundreds of open AI models, including ones that see images.","whatItDoes":["ms-swift, from the ModelScope community, helps people adapt existing AI models to their own data and needs (fine-tuning). It supports hundreds of text models and many that also handle images, video and audio.","It covers the full process: training, testing, shrinking models so they run on less hardware, and serving them to users. It includes many training methods, including light ones that let a mid-sized model be trained on a single graphics card.","It comes with over 150 ready-made datasets and a web interface for training and testing. It runs on NVIDIA and AMD graphics cards, several other chips, Apple computers and ordinary processors."],"whoFor":"Machine-learning engineers and researchers who fine-tune or deploy open AI models.","useWithoutCoding":"Developers only","keywords":["fine-tuning","train model","lora","qwen","custom ai"],"rating":3,"tags":["Research-backed"],"owner":{"name":"ModelScope","githubUrl":"https://github.com/modelscope"},"license":"Apache-2.0","stars":15874,"contributors":240,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T11:24:45Z","sources":[{"site":"Research paper","title":"SWIFT: A Scalable lightWeight Infrastructure for Fine-Tuning","url":"https://arxiv.org/abs/2408.05517","date":"2024-08-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"sherpa-onnx","name":"sherpa-onnx","repo":"k2-fsa/sherpa-onnx","githubUrl":"https://github.com/k2-fsa/sherpa-onnx","homepage":"https://k2-fsa.github.io/sherpa/onnx/index.html","pageUrl":"/repo/sherpa-onnx","category":"Speech & audio","tagline":"Speech recognition, text-to-speech and other voice tools that work offline on phones, computers and small devices.","whatItDoes":["sherpa-onnx is a toolkit for working with speech without an internet connection. It can turn speech into text, read text aloud, tell who is speaking and when, detect when someone is talking, spot keywords, identify the language spoken, add punctuation and clean up noisy audio.","It runs on a wide range of devices, including Windows, Mac, Linux, Android and iPhone, small boards like the Raspberry Pi, and specialised AI chips. Developers can use it from a dozen programming languages, and there are some ready-made demo apps."],"whoFor":"Developers adding private, offline voice features to apps and devices.","useWithoutCoding":"Developers only","keywords":["speech to text","text to speech","offline","voice","raspberry pi"],"rating":3,"tags":[],"owner":{"name":"k2-fsa","githubUrl":"https://github.com/k2-fsa"},"license":"Apache-2.0","stars":15357,"contributors":250,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T04:40:41Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Phone","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Try it in your browser on its Hugging Face demo pages, with nothing to install.","Or download a ready-made demo app from the project's GitHub releases page."],"officialDownload":"https://github.com/k2-fsa/sherpa-onnx/releases"},{"slug":"image-toolbox","name":"Image Toolbox","repo":"T8RIN/ImageToolbox","githubUrl":"https://github.com/T8RIN/ImageToolbox","homepage":null,"pageUrl":"/repo/image-toolbox","category":"Images & video","tagline":"A free Android app for editing photos, from cropping and filters to AI background removal.","whatItDoes":["Image Toolbox is a photo-editing app for Android phones. It offers basic tools such as cropping and drawing, plus filters and editing of photo details (EXIF data, the hidden information stored in photos).","It can also erase backgrounds and improve images using AI, and the project description also mentions reading text from images (OCR).","The app is free and can be downloaded from the project's releases and other app sources."],"whoFor":"Android users who want an all-in-one photo editor.","useWithoutCoding":"Yes","keywords":["photo editor","android","background removal","crop","image editing"],"rating":3,"tags":[],"owner":{"name":"Malik Mukhametzyanov","githubUrl":"https://github.com/T8RIN"},"license":"Apache-2.0","stars":15067,"contributors":256,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:31:53Z","sources":[{"site":"Hacker News","title":"Image Toolbox (T8RIN)","url":"https://news.ycombinator.com/item?id=48534104","date":"2026-06-14"}],"checkedByPerson":false,"cost":"Free","runsOn":["Phone"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Download the latest APK file from the project's releases page.","Install it on your Android phone.","Open the app and choose a tool, such as cropping, filters or background removal."],"officialDownload":"https://github.com/t8rin/imageresizer/releases/latest"},{"slug":"upscayl","name":"Upscayl","repo":"upscayl/upscayl","githubUrl":"https://github.com/upscayl/upscayl","homepage":"https://upscayl.org/","pageUrl":"/repo/upscayl","category":"Images & video","tagline":"A free desktop app that uses AI to enlarge small or pixelated images while keeping them sharp.","whatItDoes":["Upscayl makes low-resolution images bigger and clearer. AI models guess what the missing detail should look like, so an enlarged photo looks less blurry and blocky than with ordinary resizing.","It is a regular desktop app for Windows, macOS and Linux, and can process many images at once. Extra models can be added for different styles of image.","Its makers note it works best on low-resolution or pixelated images; it can't fix photos that are out of focus. It needs a graphics card that supports Vulkan, and most built-in laptop graphics won't work."],"whoFor":"Photographers, designers and anyone who wants to improve old or small pictures.","useWithoutCoding":"Yes","keywords":["upscale","enlarge photo","image quality","enhance","resolution"],"rating":3,"tags":[],"owner":{"name":"Upscayl","githubUrl":"https://github.com/upscayl"},"license":"AGPL-3.0","stars":50724,"contributors":49,"monthlyDownloads":null,"lastPushedAt":"2026-10-05T19:13:12Z","sources":[{"site":"Hacker News","title":"Upscayl – Free and Open Source AI Image Upscaler","url":"https://news.ycombinator.com/item?id=39887931","date":"2024-03-31"},{"site":"Hacker News","title":"Upscayl – Free and Open Source AI Image Upscaler for Linux, macOS and Windows","url":"https://news.ycombinator.com/item?id=32628761","date":"2022-08-28"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Mac","Windows"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Download Upscayl for Windows, Mac or Linux from its official website or releases page.","Choose a small or blurry image and let Upscayl enlarge it."],"officialDownload":"https://upscayl.org/"},{"slug":"openvino","name":"OpenVINO","repo":"openvinotoolkit/openvino","githubUrl":"https://github.com/openvinotoolkit/openvino","homepage":"https://docs.openvino.ai/","pageUrl":"/repo/openvino","category":"Running AI at scale","tagline":"A toolkit that makes AI models run faster and lighter on ordinary processors and Intel chips.","whatItDoes":["OpenVINO helps developers take an AI model that has already been trained and make it run efficiently. It works for many kinds of AI, including image recognition, speech recognition and chatbots.","It accepts models made with popular tools such as PyTorch and TensorFlow, and models from the Hugging Face Hub. The README says it runs on regular computer processors, Intel graphics chips and Intel NPUs (chips made for AI).","There are many example notebooks, such as building a chatbot or turning text into images."],"whoFor":"Developers who want to deploy AI models in apps, on devices or in the cloud with less computing power.","useWithoutCoding":"Developers only","keywords":["speed up ai","intel","deploy models","optimise"],"rating":3,"tags":["New this week"],"owner":{"name":"OpenVINO™ Toolkit","githubUrl":"https://github.com/openvinotoolkit"},"license":"Apache-2.0","stars":11020,"contributors":905,"monthlyDownloads":915106,"lastPushedAt":"2026-10-19T01:26:31Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"playwright-mcp","name":"Playwright MCP","repo":"microsoft/playwright-mcp","githubUrl":"https://github.com/microsoft/playwright-mcp","homepage":"https://www.npmjs.com/package/@playwright/mcp","pageUrl":"/repo/playwright-mcp","category":"Add-ons for AI coding tools","tagline":"Lets AI assistants open and use web pages in a real browser: clicking, typing and reading what's there.","whatItDoes":["Playwright MCP is a connector that gives AI assistants control of a web browser. It uses MCP (Model Context Protocol), a common standard for plugging tools into AI apps, and Playwright, a widely used browser-automation tool.","Instead of looking at screenshots, the AI reads a structured outline of the page, which its makers say is faster and more reliable. This lets an assistant fill in forms, follow links and check web pages as part of a task.","It works with many AI apps and coding tools, including VS Code, Cursor, Claude Desktop and Goose. The makers suggest that coding agents may prefer their separate command-line version, which uses less of the AI's memory."],"whoFor":"Developers and AI tool users who want their assistant to browse and test websites.","useWithoutCoding":"With some setup","keywords":["browser automation","web browsing","mcp","testing","playwright"],"rating":3,"tags":[],"owner":{"name":"Microsoft","githubUrl":"https://github.com/microsoft"},"license":"Apache-2.0","stars":38339,"contributors":71,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T22:43:43Z","sources":[{"site":"Hacker News","title":"Playwright Tools for MCP","url":"https://news.ycombinator.com/item?id=43485740","date":"2025-03-26"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Make sure Node.js is installed on your computer.","Add Playwright MCP in your AI tool's settings, such as Claude Desktop, Cursor or VS Code.","Ask your AI assistant to open and use a web page for you."],"officialDownload":null},{"slug":"resume-matcher","name":"Resume Matcher","repo":"srbhr/Resume-Matcher","githubUrl":"https://github.com/srbhr/Resume-Matcher","homepage":"https://resumematcher.fyi/","pageUrl":"/repo/resume-matcher","category":"Everyday tools","tagline":"Tailors your resume and cover letter to each job description using AI, running privately on your own computer.","whatItDoes":["Resume Matcher helps you adapt your resume (CV) for each job. You upload one main resume, paste in a job description, and the AI suggests changes and tailored content. It can also write a cover letter and help with interview prep.","Its makers say the AI is told not to add skills, employers or results that aren't in your main resume. It also checks how an applicant tracking system, the software many employers use to screen resumes, would read your PDF.","It runs on your machine with no account. You can use a cloud AI service or a local model through Ollama so your resume never leaves your computer. Finished resumes can be exported as PDFs from several templates."],"whoFor":"Job seekers who want help tailoring applications, especially those comfortable with some technical setup.","useWithoutCoding":"With some setup","keywords":["resume","cv","cover letter","job application","ats"],"rating":3,"tags":[],"owner":{"name":"Saurabh Rai","githubUrl":"https://github.com/srbhr"},"license":"Apache-2.0","stars":28758,"contributors":102,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T04:54:13Z","sources":[{"site":"Hacker News","title":"Resume Matcher – An open source, free tool to improve your resume","url":"https://news.ycombinator.com/item?id=38461101","date":"2023-11-29"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Resume Matcher on your computer by following the project's installation guide.","Choose an AI model: add an API key from a provider, or use a local model through Ollama.","Upload your master resume, paste a job description, and review the tailored version."],"officialDownload":"https://resumematcher.fyi/docs/installation/"},{"slug":"assistant-ui","name":"assistant-ui","repo":"assistant-ui/assistant-ui","githubUrl":"https://github.com/assistant-ui/assistant-ui","homepage":"https://www.assistant-ui.com/","pageUrl":"/repo/assistant-ui","category":"Developer building blocks","tagline":"Ready-made building blocks for adding a ChatGPT-style chat window to a website or web app.","whatItDoes":["assistant-ui is a code library for React, a popular way to build websites. It gives developers the pieces of a polished AI chat screen, such as the message list, the text box and the conversation history, so they don't have to build them from scratch.","It handles common chat features like replies that appear word by word, file attachments, formatted text, voice dictation and keyboard shortcuts. It can also show interactive cards when the AI uses a tool, and ask the user to approve actions.","It works with many AI providers and back-end systems. The library is free, and the makers offer an optional paid cloud service for saving chat history and analytics."],"whoFor":"Web developers who want to add an AI chat experience to their product.","useWithoutCoding":"Developers only","keywords":["chat interface","chatbot website","react chat","ai chat ui"],"rating":3,"tags":["Widely used","New this week"],"owner":{"name":"assistant-ui","githubUrl":"https://github.com/assistant-ui"},"license":"MIT","stars":12598,"contributors":189,"monthlyDownloads":8231681,"lastPushedAt":"2026-10-19T00:57:41Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"next-ai-draw-io","name":"Next AI Draw.io","repo":"DayuanJiang/next-ai-draw-io","githubUrl":"https://github.com/DayuanJiang/next-ai-draw-io","homepage":"https://next-ai-drawio.jiang.jp/","pageUrl":"/repo/next-ai-draw-io","category":"Everyday tools","tagline":"Describe a diagram in a sentence and AI draws it for you in draw.io, ready to edit.","whatItDoes":["Next AI Draw.io lets you create diagrams by chatting. Describe a flowchart, system architecture, process map or database diagram in plain words and the AI draws it on a real draw.io canvas. You can also upload a sketch, screenshot or document and have it turned into a diagram.","You can then edit by hand, or select a few shapes and tell the AI what to change. Every AI change is saved as a version you can compare, restore or undo, and you can export the result as an image or a draw.io file.","It is available as a website, a desktop app for Windows, macOS and Linux, and an MCP server so AI agents such as Claude Code or Cursor can draw diagrams. It works with many AI providers; you bring your own key, which its makers say stays in your browser."],"whoFor":"Anyone who needs diagrams for work or study, including engineers, project managers, students and teachers.","useWithoutCoding":"Yes","keywords":["diagram","flowchart","draw.io","chart maker","architecture"],"rating":3,"tags":[],"owner":{"name":"Dayuan Jiang","githubUrl":"https://github.com/DayuanJiang"},"license":"Apache-2.0","stars":36317,"contributors":72,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T08:22:16Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Web browser","Windows","Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Describe the diagram you want in the chat, then edit it by hand or by asking.","For heavier use, add your own AI provider key in settings, or install the desktop app."],"officialDownload":"https://github.com/DayuanJiang/next-ai-draw-io/releases"},{"slug":"mnn","name":"MNN","repo":"alibaba/MNN","githubUrl":"https://github.com/alibaba/MNN","homepage":null,"pageUrl":"/repo/mnn","category":"Run AI on your computer","tagline":"A lightweight engine from Alibaba for running AI models, including chat models, directly on phones and other devices.","whatItDoes":["MNN is a deep-learning framework designed to run AI models on devices, such as phones, PCs and small embedded gadgets, rather than in the cloud. Its makers say it is used in many Alibaba apps.","MNN-LLM uses it to run large language models locally, and MNN-Diffusion does the same for Stable Diffusion image models. The project also offers chat apps for Android and iOS built on it, plus an offline 3D avatar you can talk to.","It's small and works with models from other popular AI toolkits."],"whoFor":"App developers who want AI to run on-device, and people interested in offline AI on their phone.","useWithoutCoding":"Developers only","keywords":["on-device ai","mobile","offline","android","inference engine"],"rating":3,"tags":[],"owner":{"name":"Alibaba","githubUrl":"https://github.com/alibaba"},"license":"Apache-2.0","stars":16239,"contributors":214,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T07:11:57Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Phone"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["To try it without coding, install the MNN Chat app for Android from the project's app releases."],"officialDownload":null},{"slug":"openchamber","name":"OpenChamber","repo":"openchamber/openchamber","githubUrl":"https://github.com/openchamber/openchamber","homepage":"https://openchamber.dev/","pageUrl":"/repo/openchamber","category":"Coding assistants","tagline":"A workspace for running and reviewing AI coding work on desktop, web, VS Code and phone.","whatItDoes":["OpenChamber is built on OpenCode, an open-source AI coding agent. It adds a workspace for giving the agent tasks, seeing what changed and reviewing the work, including links to GitHub issues and pull requests.","You can let a session keep working toward a goal, compare the same task across several AI models, and pick up your sessions on another device."],"whoFor":"Programmers who use AI coding agents and want one place to manage that work.","useWithoutCoding":"With some setup","keywords":["ai coding agent","opencode","code review","coding app"],"rating":3,"tags":["New this week"],"owner":{"name":"OpenChamber","githubUrl":"https://github.com/openchamber"},"license":"MIT","stars":11810,"contributors":327,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:07:55Z","sources":[{"site":"Hacker News","title":"OpenChamber: An Agentic Development Environment","url":"https://news.ycombinator.com/item?id=49233448","date":"2026-08-09"}],"checkedByPerson":false,"cost":null,"runsOn":["Mac","Windows","Linux","Web browser","Phone"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Open a project folder and start a session to give the AI agent a task."],"officialDownload":"https://github.com/openchamber/openchamber/releases"},{"slug":"awesome-nlp","name":"awesome-nlp","repo":"keon/awesome-nlp","githubUrl":"https://github.com/keon/awesome-nlp","homepage":null,"pageUrl":"/repo/awesome-nlp","category":"Learning resources","tagline":"A curated list of resources for natural language processing, the study of how computers handle human language.","whatItDoes":["Natural language processing (NLP) is the branch of AI that deals with text and speech: translating, summarising, sorting by sentiment, answering questions and more. This list gathers resources on the subject.","It includes research news, well-known research labs, tutorials, books, courses, software libraries in many programming languages, datasets and tools for labelling text. It also has sections on NLP for dozens of specific languages and covers language models where they help with core language tasks."],"whoFor":"Students, researchers and developers learning about or working in language technology.","useWithoutCoding":"Yes","keywords":["nlp","language","text analysis","reading list","learn"],"rating":3,"tags":[],"owner":{"name":"Keon","githubUrl":"https://github.com/keon"},"license":"CC0-1.0","stars":19087,"contributors":167,"monthlyDownloads":null,"lastPushedAt":"2026-10-12T22:26:23Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the list on GitHub and browse the sections that interest you."],"officialDownload":null},{"slug":"semantic-kernel","name":"Semantic Kernel","repo":"microsoft/semantic-kernel","githubUrl":"https://github.com/microsoft/semantic-kernel","homepage":"https://aka.ms/semantic-kernel","pageUrl":"/repo/semantic-kernel","category":"Developer building blocks","tagline":"Microsoft's toolkit for building AI assistants and agents into apps, now followed by Microsoft Agent Framework.","whatItDoes":["Semantic Kernel is a toolkit from Microsoft for developers who want to add AI to their software. It works with Python, .NET and Java, and can connect to many AI providers, including OpenAI, Azure OpenAI and Hugging Face, as well as local models through Ollama.","Developers can build agents that use tools, remember things and plan steps, and set several agents to work together. It can also connect to databases that search by meaning.","The README says Microsoft Agent Framework is now its successor, and it links to a guide for moving projects over."],"whoFor":"Software developers, especially in larger companies, adding AI features to their apps.","useWithoutCoding":"Developers only","keywords":["microsoft","ai agents","sdk","chatbot","copilot"],"rating":3,"tags":[],"owner":{"name":"Microsoft","githubUrl":"https://github.com/microsoft"},"license":"MIT","stars":28671,"contributors":419,"monthlyDownloads":300767,"lastPushedAt":"2026-10-16T15:45:22Z","sources":[{"site":"Hacker News","title":"Semantic Kernel","url":"https://news.ycombinator.com/item?id=38445754","date":"2023-11-28"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"transformers-js","name":"Transformers.js","repo":"huggingface/transformers.js","githubUrl":"https://github.com/huggingface/transformers.js","homepage":"https://huggingface.co/docs/transformers.js","pageUrl":"/repo/transformers-js","category":"Developer building blocks","tagline":"Runs Hugging Face AI models directly in a web browser, with no server needed.","whatItDoes":["Transformers.js is a JavaScript library that lets websites run AI models right in the visitor's browser. It mirrors Hugging Face's Python transformers library, so developers can use the same ready-trained models with very similar code.","Supported tasks include sorting text into categories, answering questions, summarising, translating and generating text; recognising objects in images and estimating depth; and speech recognition and text-to-speech. Models run on the computer's processor by default or on the graphics card through WebGPU, and smaller compressed versions can be used to save download time."],"whoFor":"Web developers adding private, on-device AI features to sites and apps.","useWithoutCoding":"Developers only","keywords":["browser ai","javascript","hugging face","on-device","web ml"],"rating":3,"tags":["Widely used"],"owner":{"name":"Hugging Face","githubUrl":"https://github.com/huggingface"},"license":"Apache-2.0","stars":16352,"contributors":82,"monthlyDownloads":15767003,"lastPushedAt":"2026-10-15T06:39:00Z","sources":[{"site":"Hacker News","title":"Transformers.js 3.0 Released with WebGPU Support","url":"https://news.ycombinator.com/item?id=41916635","date":"2024-10-22"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"dvc","name":"DVC","repo":"treeverse/dvc","githubUrl":"https://github.com/treeverse/dvc","homepage":"https://dvc.org/","pageUrl":"/repo/dvc","category":"Training & fine-tuning","tagline":"Keeps track of versions of the data, models and experiments behind a machine-learning project.","whatItDoes":["DVC, short for Data Version Control, helps teams keep machine-learning projects organised and repeatable. Tools like Git track changes to code, but not to large data files and models. DVC fills that gap.","Your data and models are stored in cloud storage, while DVC records which version goes with which code. It also runs project steps as pipelines, re-running only what changed, and tracks experiments so you can compare results, settings and charts.","Anyone on the team can share and reproduce an experiment. It's a command-line tool with a VS Code extension."],"whoFor":"Data scientists and machine-learning engineers who want to track and reproduce their experiments.","useWithoutCoding":"Developers only","keywords":["version control","data tracking","experiments","machine learning","reproducible"],"rating":3,"tags":[],"owner":{"name":"lakeFS by Treeverse","githubUrl":"https://github.com/treeverse"},"license":"Apache-2.0","stars":15930,"contributors":333,"monthlyDownloads":1631891,"lastPushedAt":"2026-10-12T19:15:23Z","sources":[{"site":"Hacker News","title":"Data Version Control","url":"https://news.ycombinator.com/item?id=41888937","date":"2024-10-19"},{"site":"Hacker News","title":"Data Version Control","url":"https://news.ycombinator.com/item?id=33047634","date":"2022-10-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install DVC with Homebrew on Mac, Chocolatey on Windows, or Snap on Linux.","Use it inside a Git project to track versions of your data files and models.","Optionally install the DVC extension for VS Code to use it with buttons."],"officialDownload":null},{"slug":"weaviate","name":"Weaviate","repo":"weaviate/weaviate","githubUrl":"https://github.com/weaviate/weaviate","homepage":"https://weaviate.io/developers/weaviate/","pageUrl":"/repo/weaviate","category":"Running AI at scale","tagline":"A database that finds information by meaning, not just keywords, used to power AI search and chatbots.","whatItDoes":["Weaviate is a \"vector database\". It stores data together with vectors, lists of numbers that capture the meaning of text or images, so you can search by meaning rather than exact words.","It combines meaning-based search with keyword filters, and supports RAG (retrieval-augmented generation, where an AI looks up facts before answering). Common uses include semantic search, image search, recommendations and chatbots.","It can create vectors automatically using AI models from providers like OpenAI, Cohere and Hugging Face, and runs with Docker, Kubernetes or as a cloud service."],"whoFor":"Developers building AI search, recommendation or chatbot features.","useWithoutCoding":"Developers only","keywords":["vector database","semantic search","rag","ai search"],"rating":3,"tags":[],"owner":{"name":"Weaviate","githubUrl":"https://github.com/weaviate"},"license":"NOASSERTION","stars":16890,"contributors":191,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T13:25:05Z","sources":[{"site":"Hacker News","title":"How to Reduce Memory Requirements with Product Quantization","url":"https://news.ycombinator.com/item?id=37686400","date":"2023-09-28"},{"site":"Hacker News","title":"What Is a Vector Database?","url":"https://news.ycombinator.com/item?id=37655544","date":"2023-09-26"}],"checkedByPerson":false,"cost":"Free","runsOn":["Server","Cloud"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"faceswap","name":"Faceswap","repo":"deepfakes/faceswap","githubUrl":"https://github.com/deepfakes/faceswap","homepage":"https://www.faceswap.dev/","pageUrl":"/repo/faceswap","category":"Images & video","tagline":"Desktop software that uses deep learning to swap faces in photos and videos.","whatItDoes":["Faceswap is a program that learns to recognise two faces and then replaces one with the other in pictures and video. This is often called a \"deepfake\".","The process has three steps: extract faces from your images, train a model on them, then convert the video using the trained model. There's a graphical interface as well as command-line tools, and it runs on Windows, Linux and macOS.","Its makers publish an ethics statement: they say it's not for inappropriate content or for changing faces without consent or to hide that it's been used, and that it's meant for learning about AI, commentary, film work and other ethical uses."],"whoFor":"Hobbyists, visual-effects artists and people who want to learn hands-on how face-swapping AI works.","useWithoutCoding":"With some setup","keywords":["face swap","deepfake","video effects","face replacement"],"rating":3,"tags":[],"owner":{"name":"deepfakes","githubUrl":"https://github.com/deepfakes"},"license":"GPL-3.0","stars":57574,"contributors":98,"monthlyDownloads":null,"lastPushedAt":"2026-08-05T11:39:37Z","sources":[{"site":"Hacker News","title":"Github restricts public Faceswap repo to logged-in users","url":"https://news.ycombinator.com/item?id=19182956","date":"2019-02-17"}],"checkedByPerson":true,"cost":"Free","runsOn":["Windows","Linux","Mac"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Gather photos or videos of the faces you want to use.","Use the app to extract faces, train a model, then convert your pictures."],"officialDownload":null},{"slug":"sktime","name":"sktime","repo":"sktime/sktime","githubUrl":"https://github.com/sktime/sktime","homepage":"https://www.sktime.net/","pageUrl":"/repo/sktime","category":"Developer building blocks","tagline":"A Python toolkit for analysing and forecasting data that changes over time.","whatItDoes":["sktime is a code library for time series, which are measurements recorded over time, such as daily sales or sensor readings.","It offers one consistent way to do many related jobs: forecasting future values, sorting series into groups, clustering similar ones, and spotting unusual events or sudden changes. It comes with many ready-made algorithms.","It is designed to work like scikit-learn, a popular machine learning library, and connects to other tools such as statsmodels and Prophet."],"whoFor":"Data scientists and analysts who work with time-based data in Python.","useWithoutCoding":"Developers only","keywords":["forecasting","time series","machine learning","python","anomaly detection"],"rating":3,"tags":["New this week"],"owner":{"name":"sktime","githubUrl":"https://github.com/sktime"},"license":"BSD-3-Clause","stars":10069,"contributors":711,"monthlyDownloads":1134023,"lastPushedAt":"2026-10-18T21:09:30Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"learn-claude-code","name":"Learn Claude Code","repo":"shareAI-lab/learn-claude-code","githubUrl":"https://github.com/shareAI-lab/learn-claude-code","homepage":"https://learn.shareai.run/","pageUrl":"/repo/learn-claude-code","category":"Learning resources","tagline":"A step-by-step tutorial that teaches you to build a small Claude Code-style AI coding agent from scratch.","whatItDoes":["This tutorial explains how AI coding agents like Claude Code work by building a small one yourself. Its makers call the code around the AI model a \"harness\": the tools, knowledge and permissions that let the model take actions.","It is split into chapters, each adding one piece, such as the basic loop where the AI calls tools, loading skills on demand, shortening old chat history, spawning helper agents and managing tasks. Each chapter has a written explanation and runnable Python code.","The chapters come in English, Chinese and Japanese."],"whoFor":"Developers who want to understand how AI agents are built from the inside.","useWithoutCoding":"Developers only","keywords":["ai agent","tutorial","claude code","learn","coding agent"],"rating":3,"tags":[],"owner":{"name":"shareAI","githubUrl":"https://github.com/shareAI-lab"},"license":"MIT","stars":78790,"contributors":50,"monthlyDownloads":null,"lastPushedAt":"2026-09-28T13:49:16Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Start with the first lesson, about the agent loop, and work through the chapters in order.","Each chapter has a written guide and a runnable code example."],"officialDownload":null},{"slug":"axolotl","name":"Axolotl","repo":"axolotl-ai-cloud/axolotl","githubUrl":"https://github.com/axolotl-ai-cloud/axolotl","homepage":"https://docs.axolotl.ai/","pageUrl":"/repo/axolotl","category":"Training & fine-tuning","tagline":"Free, open-source software for fine-tuning AI language models on your own data.","whatItDoes":["Fine-tuning means taking an existing AI language model and teaching it extra skills or a particular style using your own examples. Axolotl is a framework for doing that.","It supports many popular open models and several training methods, including lighter ones that need less graphics memory. It can spread training across several graphics cards or machines.","Its makers say trained models can be exported for use in tools such as llama.cpp and Ollama."],"whoFor":"Machine-learning engineers and researchers who want to customise open AI models.","useWithoutCoding":"Developers only","keywords":["fine-tuning","train ai model","custom llm","lora"],"rating":3,"tags":["New this week"],"owner":{"name":"Axolotl AI","githubUrl":"https://github.com/axolotl-ai-cloud"},"license":"Apache-2.0","stars":12591,"contributors":269,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:56:26Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Server","Cloud"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"model-context-protocol","name":"Model Context Protocol (MCP)","repo":"modelcontextprotocol/modelcontextprotocol","githubUrl":"https://github.com/modelcontextprotocol/modelcontextprotocol","homepage":"https://modelcontextprotocol.io/","pageUrl":"/repo/model-context-protocol","category":"Developer building blocks","tagline":"The official rules and documentation for MCP, a shared standard used by AI apps and tools.","whatItDoes":["This repository is the home of the Model Context Protocol, or MCP. It holds the specification (the written rules of the standard), the protocol schema (a precise technical description of the messages) and the official documentation.","The schema is written in TypeScript and also provided in the JSON Schema format so more programs can use it.","The documentation is published on the project's website, which is the suggested starting point for newcomers."],"whoFor":"Developers building AI apps or tools that follow the MCP standard.","useWithoutCoding":"Developers only","keywords":["mcp","ai standard","specification","ai tools"],"rating":3,"tags":["New this week"],"owner":{"name":"Model Context Protocol","githubUrl":"https://github.com/modelcontextprotocol"},"license":"NOASSERTION","stars":9478,"contributors":394,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T07:07:43Z","sources":[{"site":"Hacker News","title":"Zero-Touch OAuth for MCP","url":"https://news.ycombinator.com/item?id=48592163","date":"2026-06-18"},{"site":"Hacker News","title":"New MCP Roadmap","url":"https://news.ycombinator.com/item?id=49399591","date":"2026-08-22"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"faster-whisper","name":"faster-whisper","repo":"SYSTRAN/faster-whisper","githubUrl":"https://github.com/SYSTRAN/faster-whisper","homepage":null,"pageUrl":"/repo/faster-whisper","category":"Speech & audio","tagline":"Transcribes speech to text with OpenAI's Whisper model, but faster and using less memory.","whatItDoes":["Whisper is a well-known AI model from OpenAI that turns speech in audio into written text. faster-whisper is a rebuilt version that runs it on a quicker engine.","Its makers say it is up to four times faster than the original with the same accuracy, and uses less memory. It can be sped up further with a compression trick called quantization.","It works on ordinary processors and on NVIDIA graphics cards, and doesn't need a separate audio tool installed."],"whoFor":"Developers building transcription or subtitle tools who need speed.","useWithoutCoding":"Developers only","keywords":["transcribe","speech to text","whisper","subtitles","fast"],"rating":3,"tags":["Widely used"],"owner":{"name":"SYSTRAN","githubUrl":"https://github.com/SYSTRAN"},"license":"MIT","stars":25952,"contributors":52,"monthlyDownloads":9614222,"lastPushedAt":"2026-10-16T11:12:55Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"nemo-speech","name":"NVIDIA NeMo Speech","repo":"NVIDIA-NeMo/Speech","githubUrl":"https://github.com/NVIDIA-NeMo/Speech","homepage":"https://docs.nvidia.com/nemo/speech/nightly/index.html","pageUrl":"/repo/nemo-speech","category":"Speech & audio","tagline":"NVIDIA's toolkit and open models for speech recognition, text-to-speech and voice AI.","whatItDoes":["NeMo Speech is a framework from NVIDIA for building speech AI. It covers turning speech into text (speech recognition), turning text into natural speech (text-to-speech), translating speech and recognising who is speaking.","NVIDIA also publishes ready-to-use models built with it, such as Parakeet and Canary for speech recognition and MagpieTTS for speech in many languages. Several have online demos.","It is designed for researchers and developers who train, adapt or run these models."],"whoFor":"Researchers and developers working on voice and speech AI.","useWithoutCoding":"Developers only","keywords":["speech recognition","text to speech","voice ai","transcription","nvidia"],"rating":3,"tags":[],"owner":{"name":"NVIDIA-NeMo","githubUrl":"https://github.com/NVIDIA-NeMo"},"license":"Apache-2.0","stars":18602,"contributors":521,"monthlyDownloads":445752,"lastPushedAt":"2026-10-18T23:33:19Z","sources":[{"site":"Hacker News","title":"CUDA 11.0","url":"https://news.ycombinator.com/item?id=23772245","date":"2020-07-08"},{"site":"Hacker News","title":"CUDA Toolkit Release Notes","url":"https://news.ycombinator.com/item?id=21618774","date":"2019-11-24"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"opik","name":"Opik","repo":"comet-ml/opik","githubUrl":"https://github.com/comet-ml/opik","homepage":"https://www.comet.com/docs/opik/","pageUrl":"/repo/opik","category":"Running AI at scale","tagline":"Track, test and monitor AI apps and agents so teams can see what they're doing and catch mistakes.","whatItDoes":["Opik helps teams building AI apps understand how those apps behave. It records each step an AI app or agent takes, including every call to an AI model and every tool it uses, so problems can be traced.","It can test apps automatically against sets of examples, including using another AI to judge answers for things like made-up facts. It also offers dashboards for watching apps once they're live, a place to try prompts, and tools to improve prompts.","It's made by Comet. Its makers say the full platform is free to host yourself."],"whoFor":"Engineers and AI teams moving AI apps from prototype into real-world use.","useWithoutCoding":"Developers only","keywords":["monitoring","evaluation","testing ai","tracing","hallucination"],"rating":3,"tags":[],"owner":{"name":"Comet","githubUrl":"https://github.com/comet-ml"},"license":"Apache-2.0","stars":22725,"contributors":174,"monthlyDownloads":1741711,"lastPushedAt":"2026-10-19T01:11:37Z","sources":[{"site":"Hacker News","title":"Show HN: Opik, an open source LLM evaluation framework","url":"https://news.ycombinator.com/item?id=41567192","date":"2024-09-17"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"learnopencv","name":"LearnOpenCV","repo":"spmallick/learnopencv","githubUrl":"https://github.com/spmallick/learnopencv","homepage":"https://www.learnopencv.com/","pageUrl":"/repo/learnopencv","category":"Learning resources","tagline":"Code examples for hundreds of tutorials on computer vision, teaching computers to understand images and video.","whatItDoes":["LearnOpenCV holds the code that goes with articles on the LearnOpenCV.com blog. The articles cover computer vision, the part of AI that helps computers make sense of pictures and video.","Topics range from basics like resizing and cropping images to object detection, tracking, 3D reconstruction and newer AI models that can see and hear. Most examples are in Python or C++.","The repository is run by an AI consulting company."],"whoFor":"Students, hobbyists and developers learning computer vision by example.","useWithoutCoding":"Developers only","keywords":["computer vision","opencv","tutorial","image recognition","object detection"],"rating":3,"tags":[],"owner":{"name":"Satya Mallick","githubUrl":"https://github.com/spmallick"},"license":null,"stars":23203,"contributors":112,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T02:30:38Z","sources":[{"site":"Hacker News","title":"Why OpenCV uses BGR color space (2015)","url":"https://news.ycombinator.com/item?id=17808191","date":"2018-08-21"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Pick a topic from the list of blog posts in the README.","Read the matching article on the LearnOpenCV blog and open its code folder to follow along."],"officialDownload":null},{"slug":"carla","name":"CARLA","repo":"carla-simulator/carla","githubUrl":"https://github.com/carla-simulator/carla","homepage":"http://carla.org/","pageUrl":"/repo/carla","category":"Robotics & simulation","tagline":"A free driving simulator that researchers use to develop and test self-driving car software safely.","whatItDoes":["CARLA is an open-source simulator for self-driving car research. It provides virtual cities with streets, buildings and vehicles where autonomous-driving software can be developed, trained and tested without putting anyone at risk.","Researchers can choose which sensors a virtual car carries and change the environmental conditions. Related projects include a leaderboard for comparing driving systems, a traffic-scenario runner and a bridge to ROS, a common robotics toolkit. The city layouts, buildings and vehicles are free to use.","This version is built on Unreal Engine 5 and needs a powerful computer with a high-end graphics card."],"whoFor":"Researchers, students and engineers working on autonomous driving.","useWithoutCoding":"Developers only","keywords":["self-driving","autonomous driving","simulator","research","cars"],"rating":3,"tags":["Research-backed"],"owner":{"name":"CARLA","githubUrl":"https://github.com/carla-simulator"},"license":"MIT","stars":14505,"contributors":212,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T18:23:54Z","sources":[{"site":"Research paper","title":"CARLA: An Open Urban Driving Simulator","url":"http://proceedings.mlr.press/v78/dosovitskiy17a/dosovitskiy17a.pdf","date":"2017-11-01"},{"site":"Hacker News","title":"Show HN: Fast Monte Carlo Permutation Simulator in C","url":"https://news.ycombinator.com/item?id=6935343","date":"2013-12-19"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Windows"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"ag-ui","name":"AG-UI","repo":"ag-ui-protocol/ag-ui","githubUrl":"https://github.com/ag-ui-protocol/ag-ui","homepage":"https://ag-ui.com/","pageUrl":"/repo/ag-ui","category":"Developer building blocks","tagline":"A shared standard for connecting AI agents to the apps and screens people actually use.","whatItDoes":["AG-UI (Agent-User Interaction Protocol) is a set of rules for how an AI agent talks to the app in front of a person. A protocol is an agreed format, so different tools can work together.","With it, an agent can stream chat replies as they are written, keep information in sync with the app, show custom interface pieces, use tools inside the app, and pause for a person to approve a step.","Its makers say it complements two other standards: MCP, which gives agents tools, and A2A, which lets agents talk to each other."],"whoFor":"Developers adding AI agents to websites and apps.","useWithoutCoding":"Developers only","keywords":["ai agents","protocol","chat interface","app development"],"rating":3,"tags":[],"owner":{"name":"ag-ui-protocol","githubUrl":"https://github.com/ag-ui-protocol"},"license":"MIT","stars":16670,"contributors":172,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T17:31:19Z","sources":[{"site":"Hacker News","title":"Show HN: AG-UI Protocol – Bring Agents into Frontend Applications","url":"https://news.ycombinator.com/item?id=43974484","date":"2025-05-13"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"sdnext","name":"SD.Next","repo":"vladmandic/sdnext","githubUrl":"https://github.com/vladmandic/sdnext","homepage":"https://vladmandic.github.io/sdnext/","pageUrl":"/repo/sdnext","category":"Images & video","tagline":"An all-in-one web interface for generating and editing images and video with AI.","whatItDoes":["SD.Next is a web-based studio for creating and editing images and video with a wide range of AI models. You run it on your own computer and use it through your web browser.","It covers many tasks, including making images from text, editing and refining them, upscaling, and guiding results with extra controls.","It runs on many kinds of hardware, including NVIDIA, AMD, Intel and Apple graphics, and even on a plain processor, and it manages its own setup and updates."],"whoFor":"Hobbyists and creators who want a full-featured local studio for AI image and video work.","useWithoutCoding":"With some setup","keywords":["image generation","video","stable diffusion","web ui","ai art"],"rating":3,"tags":["New this week"],"owner":{"name":"Vladimir Mandic","githubUrl":"https://github.com/vladmandic"},"license":"Apache-2.0","stars":7354,"contributors":521,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T22:05:35Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Web browser"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Follow the install guide to set it up for your computer, or run the Windows launcher.","Start it and open the page it shows in your web browser.","Choose a model and create an image."],"officialDownload":null},{"slug":"jeecgboot","name":"JeecgBoot","repo":"jeecgboot/JeecgBoot","githubUrl":"https://github.com/jeecgboot/JeecgBoot","homepage":"https://jeecg.com/","pageUrl":"/repo/jeecgboot","category":"App builders & workflows","tagline":"A low-code platform that uses AI to generate business software and to build AI chat and knowledge-base apps.","whatItDoes":["JeecgBoot is a platform for building business systems such as office tools, customer management (CRM) and resource planning (ERP) software. Its makers say you can describe what you need in one sentence and AI will generate a working module, including database tables, screens, code, menus and permissions.","It also includes an AI app platform, which the README compares to Dify, for building chat assistants, knowledge bases that answer questions from your documents, and AI workflows. It works with ChatGPT, DeepSeek, Ollama and other models. Visual designers for forms, workflows, reports and dashboards are included.","The README is mainly in Chinese, and the platform is built with Java (Spring Boot) and Vue, so it suits teams already using those technologies."],"whoFor":"Java development teams, especially in China, building internal business systems.","useWithoutCoding":"Developers only","keywords":["low code","business software","code generator","knowledge base","java"],"rating":3,"tags":[],"owner":{"name":"JEECG官方开源","githubUrl":"https://github.com/jeecgboot"},"license":"Apache-2.0","stars":48245,"contributors":40,"monthlyDownloads":null,"lastPushedAt":"2026-10-14T01:56:30Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Server"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"mcp-toolbox-for-databases","name":"MCP Toolbox for Databases","repo":"googleapis/mcp-toolbox","githubUrl":"https://github.com/googleapis/mcp-toolbox","homepage":"https://mcp-toolbox.dev/documentation/introduction/","pageUrl":"/repo/mcp-toolbox-for-databases","category":"Add-ons for AI coding tools","tagline":"Connects AI assistants and agents to your databases so you can ask about your data in plain English.","whatItDoes":["MCP Toolbox for Databases is an MCP server, a connector based on the Model Context Protocol, that links AI tools such as Gemini CLI, Claude Code and Codex to databases. Once connected, you can explore tables, ask questions about your data in plain English and get help writing code that uses the database.","It supports Google Cloud databases like BigQuery and Cloud SQL, plus PostgreSQL, MySQL, SQL Server, Oracle, MongoDB, Redis, Snowflake and many others. Developers can also define their own carefully limited tools for AI agents in production, with built-in sign-in, connection handling and monitoring."],"whoFor":"Developers and data teams who want AI assistants or agents to work with their databases.","useWithoutCoding":"Developers only","keywords":["database","sql","mcp","ask your data","bigquery"],"rating":3,"tags":[],"owner":{"name":"Google APIs","githubUrl":"https://github.com/googleapis"},"license":"Apache-2.0","stars":16679,"contributors":167,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T00:00:24Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Add the provided settings to your AI assistant's tool configuration, choosing your database type.","Fill in your database connection details.","Ask your assistant questions about your data in plain English."],"officialDownload":null},{"slug":"aws-mcp-servers","name":"MCP Servers for AWS","repo":"awslabs/mcp","githubUrl":"https://github.com/awslabs/mcp","homepage":"https://awslabs.github.io/mcp/","pageUrl":"/repo/aws-mcp-servers","category":"Add-ons for AI coding tools","tagline":"Connectors that let AI assistants read AWS documentation and work with Amazon's cloud services.","whatItDoes":["MCP (Model Context Protocol) is a standard way to plug extra tools into AI assistants. This project is a collection of MCP servers from AWS Labs that give assistants access to AWS documentation, guidance and many Amazon Web Services products.","They cover areas like infrastructure, databases, serverless apps, cost tracking and healthcare data. The README notes that a newer Agent Toolkit for AWS is the successor to these servers and is recommended for production use."],"whoFor":"Developers who use AI coding assistants to build on or manage Amazon Web Services.","useWithoutCoding":"Developers only","keywords":["aws","mcp server","cloud","ai coding assistant","amazon web services"],"rating":3,"tags":["New this week"],"owner":{"name":"Amazon Web Services - Labs","githubUrl":"https://github.com/awslabs"},"license":"Apache-2.0","stars":9793,"contributors":339,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T20:30:35Z","sources":[{"site":"Hacker News","title":"Vibe coding tips and tricks","url":"https://news.ycombinator.com/item?id=44940089","date":"2025-08-18"},{"site":"Hacker News","title":"AWS MCP Servers","url":"https://news.ycombinator.com/item?id=44727782","date":"2025-07-29"}],"checkedByPerson":false,"cost":null,"runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"lightrag","name":"LightRAG","repo":"HKUDS/LightRAG","githubUrl":"https://github.com/HKUDS/LightRAG","homepage":"https://arxiv.org/abs/2410.05779","pageUrl":"/repo/lightrag","category":"Documents & knowledge","tagline":"Lets AI answer questions about your documents by building a map of the people, ideas and links inside them.","whatItDoes":["RAG (retrieval-augmented generation) means the AI looks things up in your own documents before it answers. LightRAG is a research project that adds a \"knowledge graph\" to this: a map of the key things in your documents and how they connect.","Its makers say this helps answer questions that need several pieces of information joined together. It can cite sources, handle images and tables through other tools, and lets you delete documents and update the map.","It includes a web interface for adding documents, asking questions and seeing the knowledge map. It works with many storage systems and AI models."],"whoFor":"Developers and researchers building question-answering tools over large document collections.","useWithoutCoding":"With some setup","keywords":["chat with documents","knowledge graph","rag","search documents","question answering"],"rating":3,"tags":["Research-backed"],"owner":{"name":"✨Data Intelligence Lab@HKU✨","githubUrl":"https://github.com/HKUDS"},"license":"MIT","stars":40202,"contributors":353,"monthlyDownloads":122085,"lastPushedAt":"2026-10-15T18:04:12Z","sources":[{"site":"Research paper","title":"LightRAG: Simple and Fast Retrieval-Augmented Generation","url":"https://arxiv.org/abs/2410.05779","date":"2024-10-01"},{"site":"Hacker News","title":"Successful room temperature ambient-pressure magnetic levitation of LK-99","url":"https://news.ycombinator.com/item?id=36994214","date":"2023-08-04"},{"site":"Hacker News","title":"The first room-temperature ambient-pressure superconductor?","url":"https://news.ycombinator.com/item?id=36864624","date":"2023-07-25"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Server"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install the LightRAG server with Python's package tools, or run it with Docker.","Edit its settings file to choose your AI model and embedding service.","Start the server and use its web interface to add documents and ask questions."],"officialDownload":null},{"slug":"magika","name":"Magika","repo":"google/magika","githubUrl":"https://github.com/google/magika","homepage":"https://securityresearch.google/magika/","pageUrl":"/repo/magika","category":"Everyday tools","tagline":"Uses a small AI model to work out what kind of file something really is, in milliseconds.","whatItDoes":["A file's name doesn't always tell you what's inside it. Magika looks at a file's contents and uses a small AI model to identify its type, such as a PDF, an image, a spreadsheet or a programming language, across more than 200 kinds of content.","Its makers say it is very accurate and takes only a few milliseconds per file on an ordinary computer. When it isn't sure, it gives a general answer instead of guessing.","Google says it uses Magika to route files in Gmail, Drive and Safe Browsing to the right security checks. It comes as a command-line tool and as libraries for Python, JavaScript and other languages."],"whoFor":"Security teams and developers who need to identify files reliably, and anyone curious to try the browser demo.","useWithoutCoding":"With some setup","keywords":["file type","identify file","security","file detection","unknown file"],"rating":3,"tags":["Widely used"],"owner":{"name":"Google","githubUrl":"https://github.com/google"},"license":"Apache-2.0","stars":18724,"contributors":53,"monthlyDownloads":15593139,"lastPushedAt":"2026-10-15T12:36:06Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux","Windows","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Try the web demo, which runs in your browser without installing anything.","Or install the command-line tool and point it at files to see what type they really are."],"officialDownload":null},{"slug":"ruview","name":"RuView","repo":"ruvnet/RuView","githubUrl":"https://github.com/ruvnet/RuView","homepage":"https://cognitum.one/RuView","pageUrl":"/repo/ruview","category":"Smart home & gadgets","tagline":"Uses ordinary WiFi signals and cheap sensors to detect people, movement and breathing in a room, without cameras.","whatItDoes":["WiFi signals bounce around a room, and people moving or breathing change them in small, measurable ways. RuView reads these changes using low-cost ESP32 boards (tiny programmable circuit boards) and turns them into information, such as whether someone is there, how many people there are and what they are doing.","Its makers say it can sense presence through walls, estimate breathing and heart rate without contact, notice falls and track sleep. It works with Home Assistant and can appear in Apple Home, Google Home and Alexa. Everything runs on local hardware, with no cloud or cameras needed.","The README is open that some parts are still experimental: health readings from devices are labelled as unvalidated, and some features have so far only been tested on simulated data. An AI helper can guide you through setting up and calibrating the sensors."],"whoFor":"Smart-home hobbyists, tinkerers and researchers interested in camera-free sensing.","useWithoutCoding":"Developers only","keywords":["wifi sensing","presence detection","home assistant","breathing monitor","no camera"],"rating":3,"tags":[],"owner":{"name":"rUv","githubUrl":"https://github.com/ruvnet"},"license":"MIT","stars":98672,"contributors":41,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:40:54Z","sources":[{"site":"Hacker News","title":"Top trending repo claims to detect movement via WiFi, yet no one can run it","url":"https://news.ycombinator.com/item?id=47305076","date":"2026-03-09"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"vllm-omni","name":"vLLM-Omni","repo":"vllm-project/vllm-omni","githubUrl":"https://github.com/vllm-project/vllm-omni","homepage":"https://docs.vllm.ai/projects/vllm-omni","pageUrl":"/repo/vllm-omni","category":"Running AI at scale","tagline":"Serves AI models that handle text, images, audio and video quickly to many users.","whatItDoes":["vLLM-Omni extends vLLM, a popular engine for running language models, to models that create or understand images, audio, video and robot actions.","It supports many open models, offers an OpenAI-compatible API and can spread work across many graphics cards."],"whoFor":"Engineers deploying multimodal AI models for many users.","useWithoutCoding":"Developers only","keywords":["model serving","multimodal ai","text to speech","video generation"],"rating":3,"tags":["Research-backed","New this week"],"owner":{"name":"vLLM","githubUrl":"https://github.com/vllm-project"},"license":"Apache-2.0","stars":7237,"contributors":505,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:36:24Z","sources":[{"site":"Research paper","title":"vLLM-Omni Technical Report: A Unified Serving Runtime for Omni-Modality Generation","url":"https://arxiv.org/abs/2610.09307","date":"2026-10-01"},{"site":"Research paper","title":"vLLM-Omni: Fully Disaggregated Serving for Any-to-Any Multimodal Models","url":"https://arxiv.org/abs/2602.02204","date":"2026-02-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Server"],"hardware":"Made for servers or data centres","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"lancedb","name":"LanceDB","repo":"lancedb/lancedb","githubUrl":"https://github.com/lancedb/lancedb","homepage":"https://lancedb.com/docs","pageUrl":"/repo/lancedb","category":"Running AI at scale","tagline":"A database for storing and searching the data AI apps use, including text, images and video.","whatItDoes":["AI apps often turn text, images and other content into lists of numbers called vectors, which make it possible to search by meaning. LanceDB is a database built to store and search these quickly.","It can also search by keyword or with SQL (a standard database language), and keeps track of versions of your data. Its makers say it can handle very large amounts of data.","The open-source version runs on your own computer or cloud. The makers also offer a paid cloud and enterprise version."],"whoFor":"Developers building AI search, recommendation or document question-answering features.","useWithoutCoding":"Developers only","keywords":["vector database","semantic search","image search","ai search"],"rating":3,"tags":["New this week"],"owner":{"name":"LanceDB","githubUrl":"https://github.com/lancedb"},"license":"Apache-2.0","stars":11696,"contributors":263,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T22:30:24Z","sources":[{"site":"Hacker News","title":"Show HN: LanceDB is an embedded vector database with a native JavaScript API","url":"https://news.ycombinator.com/item?id=35964660","date":"2023-05-16"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Mac","Windows","Linux","Server","Cloud"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"cutlass","name":"CUTLASS","repo":"NVIDIA/cutlass","githubUrl":"https://github.com/NVIDIA/cutlass","homepage":"https://docs.nvidia.com/cutlass/index.html","pageUrl":"/repo/cutlass","category":"Developer building blocks","tagline":"NVIDIA building blocks for fast matrix maths on graphics cards.","whatItDoes":["CUTLASS is a collection of reusable software parts from NVIDIA for doing high-performance matrix multiplication and related maths on NVIDIA graphics cards.","These operations are at the heart of deep learning, so the library is used as a building block inside custom high-speed programs and AI systems.","It also now includes Python interfaces, which its makers say make writing fast graphics-card code easier to learn."],"whoFor":"Performance engineers and researchers writing fast code for NVIDIA graphics cards.","useWithoutCoding":"Developers only","keywords":["gpu","cuda","matrix math","deep learning","nvidia"],"rating":3,"tags":["New this week"],"owner":{"name":"NVIDIA Corporation","githubUrl":"https://github.com/NVIDIA"},"license":"NOASSERTION","stars":10618,"contributors":297,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T01:12:50Z","sources":[{"site":"Hacker News","title":"CUDA 11.0","url":"https://news.ycombinator.com/item?id=23772245","date":"2020-07-08"},{"site":"Hacker News","title":"CUDA Toolkit Release Notes","url":"https://news.ycombinator.com/item?id=21618774","date":"2019-11-24"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Windows"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"skypilot","name":"SkyPilot","repo":"skypilot-org/skypilot","githubUrl":"https://github.com/skypilot-org/skypilot","homepage":"https://skypilot.ai/","pageUrl":"/repo/skypilot","category":"Running AI at scale","tagline":"One tool for running AI training and serving jobs across many clouds and your own GPU clusters.","whatItDoes":["SkyPilot helps AI teams run their work, such as training or serving models, on whatever computing power they have: their own GPU servers, Kubernetes or Slurm clusters, or more than 20 cloud providers.","You describe the job and the hardware it needs, and SkyPilot finds available machines, starts them, runs the job and can recover it if something fails. It can also shut down idle machines automatically to save money.","Everything runs inside your own cloud accounts and clusters."],"whoFor":"AI and infrastructure teams who manage GPU computing across clouds and clusters.","useWithoutCoding":"Developers only","keywords":["gpu cloud","run ai jobs","kubernetes ai","multi cloud","cloud cost"],"rating":3,"tags":["New this week"],"owner":{"name":"SkyPilot","githubUrl":"https://github.com/skypilot-org"},"license":"Apache-2.0","stars":10717,"contributors":287,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:57:26Z","sources":[{"site":"Hacker News","title":"SkyPilot: One system to use and manage all AI compute (K8s, 20 clouds, Slurm)","url":"https://news.ycombinator.com/item?id=46606726","date":"2026-01-13"}],"checkedByPerson":false,"cost":"Free","runsOn":["Cloud","Server"],"hardware":"Made for servers or data centres","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"spring-ai-alibaba","name":"Spring AI Alibaba","repo":"alibaba/spring-ai-alibaba","githubUrl":"https://github.com/alibaba/spring-ai-alibaba","homepage":"https://java2ai.com/","pageUrl":"/repo/spring-ai-alibaba","category":"Developer building blocks","tagline":"A Java framework for building AI agents, workflows and teams of agents that work together.","whatItDoes":["Spring AI Alibaba helps Java programmers build AI agents, programs that can plan and carry out tasks using an AI model and tools.","It supports several agents working in sequence or side by side, voice agents, image understanding and step-by-step workflows. It connects to several AI model providers and to MCP, a standard for linking AI to outside tools.","There is also an admin platform for building agents visually and watching how they perform."],"whoFor":"Java developers, especially those using the Spring framework.","useWithoutCoding":"Developers only","keywords":["java ai","ai agents","multi-agent","spring"],"rating":3,"tags":["New this week"],"owner":{"name":"Alibaba","githubUrl":"https://github.com/alibaba"},"license":"Apache-2.0","stars":11032,"contributors":275,"monthlyDownloads":null,"lastPushedAt":"2026-10-07T13:48:56Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Server"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"chat2db","name":"Chat2DB","repo":"OtterMind/Chat2DB","githubUrl":"https://github.com/OtterMind/Chat2DB","homepage":"https://chat2db.ai/","pageUrl":"/repo/chat2db","category":"Data science tools","tagline":"A free desktop app for working with databases, with an AI helper that writes and explains database queries.","whatItDoes":["Chat2DB is a database client: an app for connecting to databases, looking at their data and running queries. It works with more than 40 kinds of databases, including MySQL, PostgreSQL, Oracle and MongoDB.","It includes an AI assistant that you connect to your own AI model. Describe what you want in plain language and it can write, explain or improve SQL, the language used to ask databases for information.","It also offers data import and export, dashboards and charts, and runs on Windows, macOS and Linux, entirely on your own machine."],"whoFor":"Data analysts, database administrators and developers who work with databases and want AI help writing queries.","useWithoutCoding":"Yes","keywords":["database","sql","queries","data analysis","text to sql"],"rating":3,"tags":[],"owner":{"name":"OtterMind","githubUrl":"https://github.com/OtterMind"},"license":"NOASSERTION","stars":28321,"contributors":76,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T08:01:24Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the installer for your computer from the project's GitHub releases page.","Install it and connect it to your database.","Connect your own AI model to use the assistant that writes and explains queries."],"officialDownload":"https://github.com/OtterMind/Chat2DB/releases"},{"slug":"maxkb","name":"MaxKB","repo":"1Panel-dev/MaxKB","githubUrl":"https://github.com/1Panel-dev/MaxKB","homepage":"https://maxkb.cn/","pageUrl":"/repo/maxkb","category":"App builders & workflows","tagline":"A platform for building AI assistants and Q&A bots that answer from your company's documents.","whatItDoes":["MaxKB (\"Max Knowledge Brain\") is a platform for building AI agents for businesses. You upload documents or point it at websites, and it prepares them so an AI can answer questions using that material, which its makers say reduces made-up answers.","A workflow engine lets you design more complex AI processes, and it can use outside tools through MCP. It works with many models, both ones you host yourself, such as DeepSeek, Llama and Qwen, and online ones such as OpenAI, Claude and Gemini.","It can be added to existing business systems and handles text, images, audio and video."],"whoFor":"Companies and teams building internal help desks, customer-service bots or knowledge assistants.","useWithoutCoding":"With some setup","keywords":["knowledge base","company chatbot","rag","q&a bot","self-hosted"],"rating":3,"tags":[],"owner":{"name":"1Panel-dev","githubUrl":"https://github.com/1Panel-dev"},"license":"GPL-3.0","stars":22992,"contributors":100,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T14:02:35Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Server","Web browser"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Docker on your server and start the MaxKB container.","Open the MaxKB web interface in your browser and sign in with the default admin account listed in the README."],"officialDownload":null},{"slug":"wasmedge","name":"WasmEdge","repo":"WasmEdge/WasmEdge","githubUrl":"https://github.com/WasmEdge/WasmEdge","homepage":"https://wasmedge.org/","pageUrl":"/repo/wasmedge","category":"Running AI at scale","tagline":"A small, fast engine for running sandboxed programs, which can also run open AI models on your devices.","whatItDoes":["WasmEdge runs programs written in WebAssembly, a compact format that runs safely in a sealed-off sandbox. It is used for cloud services, small edge devices and apps that embed small functions.","Its makers describe it as an easy way to run large language models on your own devices, through a companion framework called LlamaEdge that lets you chat with open-source models.","It can be managed with common cloud tools such as Docker and Kubernetes, and embedded inside apps written in Go, Rust or C."],"whoFor":"Developers building cloud, edge or embedded software, including those who want to run AI models on small devices.","useWithoutCoding":"Developers only","keywords":["webassembly","edge computing","run llm locally","serverless","lightweight runtime"],"rating":3,"tags":["Research-backed","New this week"],"owner":{"name":"WasmEdge Runtime","githubUrl":"https://github.com/WasmEdge"},"license":"Apache-2.0","stars":10832,"contributors":274,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:15:00Z","sources":[{"site":"Research paper","title":"A Lightweight Design for High-performance Serverless Computing","url":"https://arxiv.org/abs/2010.07115","date":"2020-10-01"},{"site":"Hacker News","title":"WasmEdge, a lightweight, high-performance, and extensible WebAssembly runtime","url":"https://news.ycombinator.com/item?id=31836136","date":"2022-06-22"}],"checkedByPerson":false,"cost":"Free","runsOn":["Server"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"claude-code-plugins-directory","name":"Claude Code Plugins Directory","repo":"anthropics/claude-plugins-official","githubUrl":"https://github.com/anthropics/claude-plugins-official","homepage":"https://code.claude.com/docs/en/plugins","pageUrl":"/repo/claude-code-plugins-directory","category":"Add-ons for AI coding tools","tagline":"Anthropic's official list of add-ons you can install into the Claude Code AI coding assistant.","whatItDoes":["Claude Code is Anthropic's AI coding assistant. Plugins add new abilities to it, such as extra commands, specialised helper agents, skills and connections to outside tools.","This directory collects plugins made by Anthropic and others submitted by partners and the community. You can browse and install them from inside Claude Code.","The directory itself warns that Anthropic doesn't control what third-party plugins contain, so you should trust a plugin before installing it."],"whoFor":"People who use Claude Code and want to find add-ons for it.","useWithoutCoding":"With some setup","keywords":["claude code","plugins","add-ons","extensions","marketplace"],"rating":3,"tags":["Fast-rising"],"owner":{"name":"Anthropic","githubUrl":"https://github.com/anthropics"},"license":"Apache-2.0","stars":42728,"contributors":42,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T17:04:56Z","sources":[{"site":"Hacker News","title":"Claude Code now reads AGENTS.md if there is no Claude.md","url":"https://news.ycombinator.com/item?id=49760187","date":"2026-09-18"},{"site":"Hacker News","title":"Claude Code Routines","url":"https://news.ycombinator.com/item?id=47768133","date":"2026-04-14"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Install Claude Code, Anthropic's AI coding assistant.","Open the plugin menu in Claude Code and browse the Discover list.","Install only plugins you trust, since Anthropic says it does not control their contents."],"officialDownload":null},{"slug":"trigger-dev","name":"Trigger.dev","repo":"triggerdotdev/trigger.dev","githubUrl":"https://github.com/triggerdotdev/trigger.dev","homepage":"https://trigger.dev/changelog","pageUrl":"/repo/trigger-dev","category":"Developer building blocks","tagline":"A platform for running long AI tasks and workflows reliably in the background, with retries and monitoring.","whatItDoes":["Trigger.dev is a platform for building AI agents and workflows in TypeScript (a programming language for the web). It runs long tasks in the background without the time limits many hosting services impose.","It handles retries when something fails, queues, scheduled jobs and detailed logs. Tasks can pause until a person approves, and results, including AI responses, can stream live into an app.","It can be used as a hosted service or self-hosted."],"whoFor":"Developers building AI features or background jobs into web apps.","useWithoutCoding":"Developers only","keywords":["background jobs","workflows","ai agents","scheduling"],"rating":3,"tags":[],"owner":{"name":"Trigger.dev","githubUrl":"https://github.com/triggerdotdev"},"license":"Apache-2.0","stars":16569,"contributors":150,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T22:21:08Z","sources":[{"site":"Hacker News","title":"Show HN: We built a developer-first open-source Zapier alternative","url":"https://news.ycombinator.com/item?id=34610686","date":"2023-02-01"},{"site":"Hacker News","title":"Shai-Hulud compromised a dev machine and raided GitHub org access: a post-mortem","url":"https://news.ycombinator.com/item?id=46262021","date":"2025-12-14"}],"checkedByPerson":false,"cost":null,"runsOn":["Cloud","Server"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"graphrag","name":"GraphRAG","repo":"microsoft/graphrag","githubUrl":"https://github.com/microsoft/graphrag","homepage":"https://microsoft.github.io/graphrag/","pageUrl":"/repo/graphrag","category":"Documents & knowledge","tagline":"A research method that maps the people, places and ideas in your documents so AI can answer bigger questions about them.","whatItDoes":["GraphRAG is a research project from Microsoft. It uses AI language models to read a large set of documents and build a \"knowledge graph\", a map of the things mentioned and how they connect.","That map helps an AI answer questions that need a wider view of your data, not just a single passage. Its makers say it is a demonstration and not an officially supported Microsoft product.","The README warns that building the map can be expensive, so it is best to start small. It also says the project is largely in maintenance mode: it gets bug fixes and updates but no new features."],"whoFor":"Researchers and developers exploring better ways for AI to answer questions about private document collections.","useWithoutCoding":"Developers only","keywords":["knowledge graph","document search","rag","question answering","research"],"rating":3,"tags":["Research-backed"],"owner":{"name":"Microsoft","githubUrl":"https://github.com/microsoft"},"license":"MIT","stars":36378,"contributors":51,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:17:59Z","sources":[{"site":"Research paper","title":"GraphRAG paper","url":"https://arxiv.org/pdf/2404.16130","date":"2024-04-01"},{"site":"Hacker News","title":"Microsoft Open Sources Graph Engine and Language Integrated Knowledge Query","url":"https://news.ycombinator.com/item?id=13606487","date":"2017-02-09"}],"checkedByPerson":false,"cost":null,"runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"claude-mem","name":"Claude-Mem","repo":"thedotmack/claude-mem","githubUrl":"https://github.com/thedotmack/claude-mem","homepage":"https://claude-mem.ai/","pageUrl":"/repo/claude-mem","category":"Add-ons for AI coding tools","tagline":"Gives AI coding assistants a memory, so they remember past work on a project in later sessions.","whatItDoes":["AI coding assistants usually forget everything when a session ends. Claude-Mem records what the assistant did, uses AI to boil it down into short summaries, and feeds the relevant parts back in next time.","It was built for Claude Code and also works with tools such as OpenCode and Codex. The installer offers a hosted memory service with a free trial, or you can use your own AI provider instead."],"whoFor":"Programmers who use AI coding assistants on long-running projects.","useWithoutCoding":"Developers only","keywords":["memory","claude code","remember context","ai assistant"],"rating":3,"tags":[],"owner":{"name":"Alex Newman","githubUrl":"https://github.com/thedotmack"},"license":"Apache-2.0","stars":101636,"contributors":281,"monthlyDownloads":64341,"lastPushedAt":"2026-10-18T20:32:35Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Run the claude-mem installer for your AI coding tool, such as Claude Code or OpenCode.","Sign in for the hosted memory trial, or choose the local option to skip signing in."],"officialDownload":null},{"slug":"vowpal-wabbit","name":"Vowpal Wabbit","repo":"VowpalWabbit/vowpal_wabbit","githubUrl":"https://github.com/VowpalWabbit/vowpal_wabbit","homepage":"https://vowpalwabbit.org/","pageUrl":"/repo/vowpal-wabbit","category":"Data science tools","tagline":"A fast machine learning system that can learn from huge amounts of data without loading it all at once.","whatItDoes":["Vowpal Wabbit is a machine learning system for programmers and data scientists. It is known for online learning, where the model learns from examples one at a time as they arrive.","Its makers say it is fast and that its memory use stays fixed no matter how much data you have. It accepts flexible input, including free text.","It also supports more advanced methods such as reinforcement learning, where a system learns by trial and feedback."],"whoFor":"Data scientists and engineers working with very large data sets.","useWithoutCoding":"Developers only","keywords":["machine learning","online learning","big data","reinforcement learning"],"rating":3,"tags":["New this week"],"owner":{"name":"Vowpal Wabbit","githubUrl":"https://github.com/VowpalWabbit"},"license":"NOASSERTION","stars":8730,"contributors":343,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T14:19:00Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"archon","name":"Archon","repo":"coleam00/Archon","githubUrl":"https://github.com/coleam00/Archon","homepage":"https://archon.diy/","pageUrl":"/repo/archon","category":"Add-ons for AI coding tools","tagline":"Makes AI coding assistants follow the same reliable steps every time: plan, build, test, review.","whatItDoes":["Archon is a workflow engine for AI coding agents. You write down your development process as a simple workflow file, for example plan, build, run tests, review and open a pull request, and Archon runs it the same way every time.","Its makers say the problem it solves is that AI agents behave differently on each run and may skip planning or testing. In Archon, fixed steps like running tests mix with AI steps like writing code, and it can pause for your approval.","Workflows live in your project and can be started from the command line, a web console, Slack, Telegram or GitHub."],"whoFor":"Developers who use AI coding agents and want predictable, repeatable results.","useWithoutCoding":"Developers only","keywords":["coding workflow","automation","claude code","pull requests"],"rating":3,"tags":[],"owner":{"name":"Cole Medin","githubUrl":"https://github.com/coleam00"},"license":"MIT","stars":23713,"contributors":88,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T20:44:18Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install Claude Code first, since Archon works through your AI coding agent.","Install Archon with the quick installer for your computer.","Ask your coding agent to use Archon for a task in your project."],"officialDownload":"https://archon.diy/"},{"slug":"unstructured","name":"Unstructured","repo":"Unstructured-IO/unstructured","githubUrl":"https://github.com/Unstructured-IO/unstructured","homepage":"https://www.unstructured.io/","pageUrl":"/repo/unstructured","category":"Documents & knowledge","tagline":"Turns messy documents like PDFs, Word files and web pages into clean text that AI models can use.","whatItDoes":["Unstructured is an open-source Python library that pulls the text and structure out of documents such as PDFs, HTML pages, Word files and many more. It breaks them into clean pieces, like titles, paragraphs and tables.","This preparation step is often needed before an AI model can search or answer questions about your documents. The company behind it also offers a paid, higher-quality service; the README says the open-source library stays free."],"whoFor":"Developers building AI apps that need to read and search large numbers of documents.","useWithoutCoding":"Developers only","keywords":["pdf to text","document parsing","data preparation","ocr","rag"],"rating":3,"tags":[],"owner":{"name":"Unstructured","githubUrl":"https://github.com/Unstructured-IO"},"license":"Apache-2.0","stars":15573,"contributors":167,"monthlyDownloads":2462836,"lastPushedAt":"2026-10-16T21:43:22Z","sources":[{"site":"Hacker News","title":"Understanding What Matters for LLM Ingestion and Preprocessing","url":"https://news.ycombinator.com/item?id=40107509","date":"2024-04-21"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"megatron-lm","name":"Megatron-LM","repo":"NVIDIA/Megatron-LM","githubUrl":"https://github.com/NVIDIA/Megatron-LM","homepage":"https://docs.nvidia.com/megatron-core/developer-guide/latest/get-started/quickstart.html","pageUrl":"/repo/megatron-lm","category":"Training & fine-tuning","tagline":"NVIDIA's software for training very large AI language models across many graphics cards at once.","whatItDoes":["Megatron-LM is NVIDIA's toolkit for training transformer models, the design behind most modern AI language models, at very large scale. Training such models needs many graphics cards working together, and this software splits the work between them efficiently.","The repository has two parts. Megatron Core is a library of optimised building blocks for people making their own training systems. Megatron-LM adds ready-made training scripts for researchers and for learning how large-scale training works.","A companion tool converts models between Megatron and the popular Hugging Face format."],"whoFor":"Research teams and engineers training large AI models on powerful GPU clusters.","useWithoutCoding":"Developers only","keywords":["train ai","large language models","nvidia","gpus","research"],"rating":3,"tags":["Research-backed"],"owner":{"name":"NVIDIA Corporation","githubUrl":"https://github.com/NVIDIA"},"license":"NOASSERTION","stars":18190,"contributors":433,"monthlyDownloads":357313,"lastPushedAt":"2026-10-19T00:08:24Z","sources":[{"site":"Research paper","title":"Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism","url":"https://arxiv.org/abs/1909.08053","date":"2019-09-01"},{"site":"Research paper","title":"Scalable Training of Mixture-of-Experts Models with Megatron Core","url":"https://arxiv.org/abs/2603.07685","date":"2026-03-01"},{"site":"Hacker News","title":"CUDA 11.0","url":"https://news.ycombinator.com/item?id=23772245","date":"2020-07-08"},{"site":"Hacker News","title":"CUDA Toolkit Release Notes","url":"https://news.ycombinator.com/item?id=21618774","date":"2019-11-24"}],"checkedByPerson":false,"cost":"Free","runsOn":["Server"],"hardware":"Made for servers or data centres","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"fastai","name":"fastai","repo":"fastai/fastai","githubUrl":"https://github.com/fastai/fastai","homepage":"http://docs.fast.ai/","pageUrl":"/repo/fastai","category":"Developer building blocks","tagline":"A code library that makes training your own AI models quicker, paired with a free course.","whatItDoes":["fastai is a Python library for building and training \"deep learning\" models, the kind of AI that learns from examples. It's built on PyTorch, another popular AI library.","Its makers say you can build an image classifier, a text sentiment model or a recommendation system in about five lines of code. It is closely tied to a free online course and a book, and its documentation pages can be opened as interactive notebooks in Google Colab, so you can try it without installing anything."],"whoFor":"Learners, programmers and researchers who want to train their own AI models.","useWithoutCoding":"Developers only","keywords":["deep learning","learn ai","train a model","python","course"],"rating":3,"tags":[],"owner":{"name":"fast.ai","githubUrl":"https://github.com/fastai"},"license":"Apache-2.0","stars":28227,"contributors":264,"monthlyDownloads":301753,"lastPushedAt":"2026-09-21T10:41:46Z","sources":[{"site":"Hacker News","title":"Linear Algebra for AI","url":"https://news.ycombinator.com/item?id=15262218","date":"2017-09-16"},{"site":"Hacker News","title":"Show HN: Bash Script to Install a Webserver and PHP on a Clean OS","url":"https://news.ycombinator.com/item?id=22103345","date":"2020-01-21"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Windows","Cloud"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"open3d","name":"Open3D","repo":"isl-org/Open3D","githubUrl":"https://github.com/isl-org/Open3D","homepage":"http://www.open3d.org/","pageUrl":"/repo/open3d","category":"3D & design","tagline":"A code library for working with 3D data such as point clouds, meshes and scanned scenes.","whatItDoes":["Open3D is a toolkit programmers use to build software that handles 3D data. It can load, clean up, align and display things like 3D scans (point clouds, clouds of dots that describe a shape) and meshes (3D surfaces made of triangles).","Its makers say it can rebuild whole scenes from scans and supports 3D machine learning through the popular PyTorch and TensorFlow toolkits. It works from the Python and C++ programming languages and can use a graphics card to speed things up.","There is also a separate Open3D Viewer app for simply looking at 3D files on Windows, Mac and Ubuntu Linux."],"whoFor":"Developers, researchers and students working with 3D scanning, robotics or computer graphics.","useWithoutCoding":"Developers only","keywords":["3d scan","point cloud","3d model","mesh","3d viewer"],"rating":3,"tags":["Research-backed","New this week"],"owner":{"name":"Intelligent Systems Lab Org","githubUrl":"https://github.com/isl-org"},"license":"NOASSERTION","stars":14105,"contributors":287,"monthlyDownloads":1243345,"lastPushedAt":"2026-09-30T10:06:02Z","sources":[{"site":"Research paper","title":"Open3D: A Modern Library for 3D Data Processing","url":"https://arxiv.org/abs/1801.09847","date":"2018-01-01"},{"site":"Hacker News","title":"Open3D – A Modern Library for 3D Data Processing","url":"https://news.ycombinator.com/item?id=16948437","date":"2018-04-28"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":"https://github.com/isl-org/Open3D/releases"},{"slug":"e2b","name":"E2B","repo":"e2b-dev/E2B","githubUrl":"https://github.com/e2b-dev/E2B","homepage":"https://docs.e2b.dev/?utm_source=github&utm_medium=referral&utm_campaign=repo_website&utm_content=e2b","pageUrl":"/repo/e2b","category":"Developer building blocks","tagline":"Safe, isolated cloud computers where AI agents can run the code they write without risking your systems.","whatItDoes":["When an AI writes code, running it directly on your computer can be risky. E2B provides sandboxes: sealed-off computers in the cloud where AI-generated code can run safely.","Developers start and control these sandboxes from their own apps using E2B's toolkits for Python and JavaScript. Extra toolkits add a code interpreter and a full virtual desktop that agents can use.","Using the hosted service requires signing up for an E2B account and API key."],"whoFor":"Developers building AI agents or apps that need to run code safely.","useWithoutCoding":"Developers only","keywords":["code sandbox","ai agents","run code safely","cloud","code interpreter"],"rating":3,"tags":["Widely used"],"owner":{"name":"E2B | Cloud for AI Agents","githubUrl":"https://github.com/e2b-dev"},"license":"Apache-2.0","stars":14431,"contributors":64,"monthlyDownloads":14135730,"lastPushedAt":"2026-10-14T23:38:59Z","sources":[{"site":"Hacker News","title":"Show HN: We are building an open-source IDE powered by AI","url":"https://news.ycombinator.com/item?id=35440552","date":"2023-04-04"},{"site":"Hacker News","title":"Show HN: Open-source SDK for creating custom code interpreters with any LLM","url":"https://news.ycombinator.com/item?id=40093257","date":"2024-04-20"}],"checkedByPerson":false,"cost":null,"runsOn":["Cloud"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"book-to-skill","name":"book-to-skill","repo":"virgiliojr94/book-to-skill","githubUrl":"https://github.com/virgiliojr94/book-to-skill","homepage":null,"pageUrl":"/repo/book-to-skill","category":"Add-ons for AI coding tools","tagline":"Turns a technical book or a folder of documents into a skill your AI assistant can look things up in.","whatItDoes":["You point book-to-skill at a PDF or a folder of documents. It turns the content into a \"skill\", a structured pack your AI coding assistant can load when needed, with key ideas, a chapter index, a glossary, patterns and a cheat sheet.","Later you can ask a question about the book and the assistant reads just the right chapter to answer from the real content. Its makers say this uses far less of the AI's working memory than loading the whole book each time.","It works with assistants that support the open Agent Skills format, including Claude Code, Codex, GitHub Copilot CLI and others. It also works on internal docs, brand guides, research papers and specs."],"whoFor":"Developers and learners who want their AI assistant to answer from books and documents they own.","useWithoutCoding":"With some setup","keywords":["study","pdf","book notes","knowledge base","claude code"],"rating":3,"tags":["Fast-rising"],"owner":{"name":"Virgilio Junior","githubUrl":"https://github.com/virgiliojr94"},"license":"MIT","stars":35266,"contributors":50,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T21:24:32Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Install it as a skill in an AI assistant such as Claude Code, Codex or Copilot CLI.","Point it at a book file or a folder of documents to turn it into a skill.","Ask your assistant questions using the new skill's name."],"officialDownload":null},{"slug":"awesome-generative-ai","name":"Awesome Generative AI","repo":"steven2358/awesome-generative-ai","githubUrl":"https://github.com/steven2358/awesome-generative-ai","homepage":null,"pageUrl":"/repo/awesome-generative-ai","category":"Learning resources","tagline":"A hand-picked list of generative AI projects, services and reading, sorted by topic.","whatItDoes":["This is a curated list of links about generative AI, the kind of AI that creates new text, images, sound and video.","It is organised into sections such as text, coding, agents, images, video and audio, plus recommended articles, milestones and learning resources.","Anyone can suggest additions, and a separate list collects newer, up-and-coming projects."],"whoFor":"Anyone who wants a starting map of generative AI tools and background reading.","useWithoutCoding":"Yes","keywords":["generative ai list","ai tools list","ai resources","image generators","chatbots"],"rating":3,"tags":["New this week"],"owner":{"name":"Steven Van Vaerenbergh","githubUrl":"https://github.com/steven2358"},"license":"CC0-1.0","stars":12739,"contributors":198,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T21:22:18Z","sources":[{"site":"Hacker News","title":"Generative AI – A curated list of Generative AI projects and services","url":"https://news.ycombinator.com/item?id=37107101","date":"2023-08-13"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the list on GitHub and jump to the section you are curious about."],"officialDownload":null},{"slug":"beads","name":"Beads","repo":"gastownhall/beads","githubUrl":"https://github.com/gastownhall/beads","homepage":"https://beads.gascity.com/","pageUrl":"/repo/beads","category":"Add-ons for AI coding tools","tagline":"A to-do tracker built for AI coding agents, so they can keep track of long projects without losing their place.","whatItDoes":["Beads (command name \"bd\") is an issue tracker, a kind of to-do list for software tasks, designed to be used by AI coding agents. It gives them a lasting, organised memory of what needs doing.","Tasks are linked by what depends on what, so an agent can see which jobs are ready to start, claim one, and mark it done. Its makers say this replaces messy plan files and helps agents handle long tasks.","It can sync between machines and between several agents working at once. Setup commands connect it to tools like Claude Code, Codex and Cursor."],"whoFor":"Programmers who use AI coding agents on bigger, multi-step projects.","useWithoutCoding":"With some setup","keywords":["task tracker","to-do list","coding agent","memory","claude code"],"rating":3,"tags":[],"owner":{"name":"Gas Town Hall","githubUrl":"https://github.com/gastownhall"},"license":"MIT","stars":27994,"contributors":512,"monthlyDownloads":33322,"lastPushedAt":"2026-10-19T01:45:58Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Turn on Beads inside your own project so it sets up instructions for your AI coding agent.","Let your agent create, claim and close tasks with Beads instead of keeping to-do lists in notes."],"officialDownload":null},{"slug":"skillspector","name":"SkillSpector","repo":"NVIDIA/SkillSpector","githubUrl":"https://github.com/NVIDIA/SkillSpector","homepage":"https://docs.nvidia.com/skills/scanning-agent-skills","pageUrl":"/repo/skillspector","category":"Add-ons for AI coding tools","tagline":"Checks AI agent skills for security risks, like hidden instructions or data theft, before you install them.","whatItDoes":["\"Skills\" are add-on instruction packs for AI agents like Claude Code and Codex, and they often run with a lot of trust. SkillSpector scans a skill before you install it and reports possible problems.","It looks for dozens of risky patterns, such as prompt injection (hidden instructions that hijack the AI), attempts to send your data elsewhere and risky dependencies. It gives a risk score from 0 to 100 with recommendations.","It can do a fast check on its own, and an optional deeper review using an AI model. It's part of NVIDIA's process for checking skills before publishing them."],"whoFor":"Developers and security teams who install or publish agent skills and want to check them first.","useWithoutCoding":"Developers only","keywords":["security scanner","agent skills","prompt injection","safety check","claude code"],"rating":3,"tags":["Fast-rising"],"owner":{"name":"NVIDIA Corporation","githubUrl":"https://github.com/NVIDIA"},"license":"Apache-2.0","stars":20499,"contributors":103,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T09:54:25Z","sources":[{"site":"Hacker News","title":"SkillSpector","url":"https://news.ycombinator.com/item?id=48509844","date":"2026-06-12"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install SkillSpector with the uv tool, or build its Docker image if you don't use Python.","Point it at a skill folder, file, zip or Git repository to scan it.","Read the risk score and findings before deciding whether to install the skill."],"officialDownload":null},{"slug":"kedro","name":"Kedro","repo":"kedro-org/kedro","githubUrl":"https://github.com/kedro-org/kedro","homepage":"https://kedro.org/","pageUrl":"/repo/kedro","category":"Data science tools","tagline":"A Python toolbox that helps data teams build tidy, repeatable data and machine-learning pipelines.","whatItDoes":["Kedro is a framework for organizing data science and machine-learning code. It gives projects a standard structure, a catalog for loading and saving data, and a way to link steps into a pipeline that can be visualized.","Its makers built it to move work beyond one-off notebooks and scripts into code that teams can maintain and reuse. Pipelines can run on one machine or be deployed to several data platforms."],"whoFor":"Data scientists and data engineers working in Python, especially in teams.","useWithoutCoding":"Developers only","keywords":["data pipeline","data science","machine learning","mlops","python"],"rating":3,"tags":["New this week"],"owner":{"name":"Kedro","githubUrl":"https://github.com/kedro-org"},"license":"NOASSERTION","stars":11028,"contributors":301,"monthlyDownloads":1918741,"lastPushedAt":"2026-10-15T14:37:22Z","sources":[{"site":"Hacker News","title":"Kedro – Creating reproducible, maintainable and modular data science code","url":"https://news.ycombinator.com/item?id=30037766","date":"2022-01-22"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"sim","name":"Sim","repo":"simstudioai/sim","githubUrl":"https://github.com/simstudioai/sim","homepage":"https://www.sim.ai/","pageUrl":"/repo/sim","category":"App builders & workflows","tagline":"A workspace for building AI agents and automations visually, connected to hundreds of other apps.","whatItDoes":["Sim is a workspace for building, running and monitoring AI agents and automated workflows. You can build agents by dragging blocks around, by chatting, or with code.","Its makers say it connects to more than 270 services, such as Slack, Notion, HubSpot and Salesforce, and to the major AI models. It also includes built-in tables, file storage and knowledge bases your agents can use.","It can run with local AI models through Ollama or vLLM."],"whoFor":"Teams and individuals who want to automate work with AI without building everything from scratch.","useWithoutCoding":"Yes","keywords":["automation","ai agents","workflow builder","no-code"],"rating":3,"tags":[],"owner":{"name":"Sim","githubUrl":"https://github.com/simstudioai"},"license":"Apache-2.0","stars":29834,"contributors":61,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:17:00Z","sources":[{"site":"Hacker News","title":"Show HN: Sim – Apache-2.0 n8n alternative","url":"https://news.ycombinator.com/item?id=46234186","date":"2025-12-11"},{"site":"Hacker News","title":"Show HN: Sim Studio – Open-Source Agent Workflow GUI","url":"https://news.ycombinator.com/item?id=43823096","date":"2025-04-28"}],"checkedByPerson":false,"cost":null,"runsOn":["Web browser","Mac","Server","Cloud"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Or download the desktop app for macOS 12 or newer.","To host it yourself, install Node.js and Docker, then run the setup wizard."],"officialDownload":null},{"slug":"dsh-desktop-anywhere-labs","name":"DSH Desktop","repo":"anywhere-labs/dsh-desktop","githubUrl":"https://github.com/anywhere-labs/dsh-desktop","homepage":"https://dshdesktop.cn/","pageUrl":"/repo/dsh-desktop-anywhere-labs","category":"AI agents","tagline":"A Windows and Mac app for using the DeepSeek Harness AI agent without the command line.","whatItDoes":["DSH Desktop is a desktop app for DeepSeek Harness, an AI agent system with its own web interface and plug-in system. The app starts and manages the agent for you, adds a window, system-tray icon, terminal and automatic updates, and needs no extra software or commands.","It includes a plug-in marketplace for adding new abilities, and newer versions let you start tasks and check an agent's progress from your phone. The makers stress that the desktop shell itself is built as a plug-in.","It is an independent community project and says it has no official link to DeepSeek. The README warns that turning on local-network access has no password protection, so anyone on the same network could control the app."],"whoFor":"People who want to try the DeepSeek Harness agent through a normal desktop app, and developers writing plug-ins for it.","useWithoutCoding":"Yes","keywords":["deepseek","ai agent","desktop app","plugins","assistant"],"rating":3,"tags":["Fast-rising"],"owner":{"name":"anywhere-labs","githubUrl":"https://github.com/anywhere-labs"},"license":"MIT","stars":31508,"contributors":56,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T20:05:05Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Mac","Windows","Phone"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Download the Windows installer or Mac disk image from the official website.","Install and open the app, then follow the first-run setup wizard.","Optionally connect your iPhone or Android phone to follow tasks remotely."],"officialDownload":"https://dshdesktop.cn/"},{"slug":"presidio","name":"Presidio","repo":"data-privacy-stack/presidio","githubUrl":"https://github.com/data-privacy-stack/presidio","homepage":"https://presidio.dataprivacystack.org/","pageUrl":"/repo/presidio","category":"Developer building blocks","tagline":"Finds and hides personal information, like names and phone numbers, in text and images.","whatItDoes":["Presidio helps organisations find sensitive personal details (often called PII) in text, images and tables, and then hide, mask or replace them.","It uses a mix of AI language tools, pattern matching and rules, works in several languages, and can be customised for a business's own needs. It can also blur out text in images, including medical scans.","Its makers warn that it uses automatic detection, so there is no guarantee it will find every piece of sensitive information. The README says the project has recently moved to a new home."],"whoFor":"Developers and data teams who need to remove personal details from data before sharing or using it with AI.","useWithoutCoding":"Developers only","keywords":["privacy","redaction","anonymize","personal data","pii"],"rating":3,"tags":["New this week"],"owner":{"name":"Data Privacy Stack","githubUrl":"https://github.com/data-privacy-stack"},"license":"MIT","stars":11391,"contributors":216,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T09:06:39Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"langbot","name":"LangBot","repo":"langbot-app/LangBot","githubUrl":"https://github.com/langbot-app/LangBot","homepage":"https://space.langbot.app/cloud","pageUrl":"/repo/langbot","category":"App builders & workflows","tagline":"Build AI chatbots and connect them to Discord, Telegram, Slack, WeChat and other chat apps.","whatItDoes":["LangBot connects AI models to messaging apps. You can set up a bot that chats with people on Discord, Telegram, Slack, LINE, WeChat, QQ, Lark, DingTalk and others, all from one place.","Bots can hold multi-step conversations, use tools, answer from your own documents and hand work to automation platforms such as Dify, n8n and Langflow. Hundreds of plugins add more features.","Everything is managed from a web panel, so you don't have to edit configuration files. It includes access controls, rate limits and word filters for running bots for many users."],"whoFor":"Community managers, businesses and developers who want an AI assistant inside the chat apps people already use.","useWithoutCoding":"With some setup","keywords":["chatbot","discord bot","telegram bot","wechat","slack bot"],"rating":3,"tags":[],"owner":{"name":"LangBot HQ","githubUrl":"https://github.com/langbot-app"},"license":"Apache-2.0","stars":18261,"contributors":111,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T18:04:37Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Use LangBot Cloud with nothing to install, or run it yourself with uv or Docker.","Open the web panel and connect an AI model.","Connect your bot to a chat app such as Discord, Telegram or Slack."],"officialDownload":null},{"slug":"mempalace","name":"MemPalace","repo":"MemPalace/mempalace","githubUrl":"https://github.com/MemPalace/mempalace","homepage":"http://mempalaceofficial.com/","pageUrl":"/repo/mempalace","category":"AI memory","tagline":"Gives AI assistants a private, long-term memory of your past conversations, stored on your own computer.","whatItDoes":["MemPalace saves your conversation history word for word and lets an AI assistant search it later. It does not summarise or rewrite what was said.","It organises memories like a building: people and projects are \"wings\", topics are \"rooms\" and the original text sits in \"drawers\". This lets searches focus on one area instead of everything at once.","Its makers say nothing leaves your machine unless you choose to share it. It connects to AI coding assistants such as Claude Code through MCP, a standard way to plug tools into AI apps, and can also run as a shared hub."],"whoFor":"People who use AI assistants a lot and want them to remember earlier work across sessions.","useWithoutCoding":"With some setup","keywords":["ai memory","remember conversations","private","claude code","search history"],"rating":3,"tags":["Fast-rising"],"owner":{"name":"MemPalace","githubUrl":"https://github.com/MemPalace"},"license":"MIT","stars":59626,"contributors":163,"monthlyDownloads":53048,"lastPushedAt":"2026-10-18T14:20:56Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux","Windows"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Add the MemPalace skills to your AI coding agent, then ask the agent to set it up.","Let it store your past conversations and project files in its memory.","Search that memory when you need to recall an earlier decision."],"officialDownload":null},{"slug":"surfsense","name":"SurfSense","repo":"MODSetter/SurfSense","githubUrl":"https://github.com/MODSetter/SurfSense","homepage":"https://www.surfsense.com/","pageUrl":"/repo/surfsense","category":"Documents & knowledge","tagline":"A private desktop app, like NotebookLM, where an AI agent researches, summarises and edits your documents on your machine.","whatItDoes":["SurfSense is a free desktop app for working with documents using AI, especially ones you don't want to upload anywhere. Its makers describe it as an alternative to Google's NotebookLM that can work fully offline.","You add your files or folders, then ask its AI agent to search them, pull out information or edit them. The search index stays on your disk, there's no account, and you pick the AI model, either one running on your computer or an online one.","There are installers for Windows, macOS on Apple Silicon and Linux. The earlier hosted web version is being closed, and users can export their workspaces into the desktop app."],"whoFor":"Anyone who wants AI help with private documents, such as researchers, students and professionals with confidential files.","useWithoutCoding":"Yes","keywords":["notebooklm alternative","private documents","offline ai","research","summarise files"],"rating":3,"tags":[],"owner":{"name":"Rohan Verma","githubUrl":"https://github.com/MODSetter"},"license":"Apache-2.0","stars":16521,"contributors":127,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T01:28:01Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Windows","Mac","Linux"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the installer for Windows, Mac or Linux from the SurfSense website.","Install it and complete the first-time setup.","Add your files or folders as sources, then ask the agent to search, extract or edit them."],"officialDownload":"https://www.surfsense.com/downloads"},{"slug":"planning-with-files","name":"Planning with Files","repo":"OthmanAdi/planning-with-files","githubUrl":"https://github.com/OthmanAdi/planning-with-files","homepage":"https://gilded-laurel-c7nj.here.now/","pageUrl":"/repo/planning-with-files","category":"Add-ons for AI coding tools","tagline":"Saves an AI coding agent's plan in files, so it can resume where it left off after its memory resets.","whatItDoes":["AI coding agents have a limited working memory, called the context window. When it fills up or is cleared, the agent can lose track of what it was doing.","This skill keeps three plain files in your project: a task plan, a findings log and a progress log. It reminds the agent of the plan on every turn, and can stop the agent from finishing before the plan is marked complete.","Its makers say it works with many agents, including Claude Code, Codex, Cursor and GitHub Copilot."],"whoFor":"Developers who run long tasks with AI coding agents and want them to stay on track.","useWithoutCoding":"Developers only","keywords":["coding agent memory","planning","claude code skill","long tasks","context"],"rating":3,"tags":["Fast-rising"],"owner":{"name":"Ahmad Othman Ammar Adi","githubUrl":"https://github.com/OthmanAdi"},"license":"MIT","stars":27513,"contributors":63,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T21:51:12Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install the skill into your AI coding agent, such as Claude Code or Cursor, using the README's install guide.","The agent then keeps its plan, notes and progress in three files in your project."],"officialDownload":null},{"slug":"volcano","name":"Volcano","repo":"volcano-sh/volcano","githubUrl":"https://github.com/volcano-sh/volcano","homepage":"https://volcano.sh/","pageUrl":"/repo/volcano","category":"Running AI at scale","tagline":"A Kubernetes scheduler for running large AI training, big data and computing jobs efficiently.","whatItDoes":["Kubernetes is a widely used system for running software across many servers. Volcano adds smarter scheduling for big batch jobs, such as training AI models or processing large datasets.","It works with many AI and data tools, including PyTorch, TensorFlow, Spark and Ray. Its makers say it is used across many industries.","It is a project of the Cloud Native Computing Foundation, a group that looks after open cloud software."],"whoFor":"Platform and infrastructure teams running AI or data workloads on Kubernetes.","useWithoutCoding":"Developers only","keywords":["kubernetes","ai training cluster","batch jobs","gpu scheduling"],"rating":3,"tags":["New this week"],"owner":{"name":"Volcano","githubUrl":"https://github.com/volcano-sh"},"license":"Apache-2.0","stars":6026,"contributors":485,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T12:10:15Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Server","Cloud"],"hardware":"Made for servers or data centres","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"databend","name":"Databend","repo":"databendlabs/databend","githubUrl":"https://github.com/databendlabs/databend","homepage":"https://docs.databend.com/","pageUrl":"/repo/databend","category":"Running AI at scale","tagline":"A data warehouse for large-scale analysis that also supports AI search and running AI agents on company data.","whatItDoes":["Databend is a data warehouse, a system for storing and analysing large amounts of business data. It combines regular analysis with vector search (finding similar items, used in AI apps) and full-text search in one engine.","Its makers describe it as ready for AI agents: you can run agent code in isolated sandboxes and control it using SQL, the standard database language. A branching feature lets agents work on copies of data safely.","It can be used through a hosted cloud service, which has a free start, or run yourself."],"whoFor":"Data engineers and companies building analytics or AI applications on large data sets.","useWithoutCoding":"Developers only","keywords":["data warehouse","vector search","analytics database","sql","ai agents"],"rating":3,"tags":["New this week"],"owner":{"name":"Databend Labs","githubUrl":"https://github.com/databendlabs"},"license":"Apache-2.0","stars":9470,"contributors":261,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:48:18Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Cloud","Server"],"hardware":"Made for servers or data centres","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"machine-learning-zoomcamp","name":"Machine Learning Zoomcamp","repo":"DataTalksClub/machine-learning-zoomcamp","githubUrl":"https://github.com/DataTalksClub/machine-learning-zoomcamp","homepage":"https://courses.datatalks.club/register/ml-zoomcamp/","pageUrl":"/repo/machine-learning-zoomcamp","category":"Learning resources","tagline":"A free, hands-on course on building and deploying machine-learning models, self-paced or with a yearly group.","whatItDoes":["Machine Learning Zoomcamp is a free practical course from DataTalks.Club. It follows a project from start to finish: framing the problem, preparing data, training and evaluating a model, and turning it into a service other software can use.","Lessons are pre-recorded videos with homework. You can follow along at any time, or join the yearly group run for graded homework, peer review, a leaderboard and a certificate. It uses common tools such as Python, scikit-learn, TensorFlow, PyTorch and Docker.","The course says you don't need machine-learning experience, but you do need about a year of programming experience."],"whoFor":"Programmers, data analysts and technical students who want to move into machine-learning engineering.","useWithoutCoding":"Developers only","keywords":["course","machine learning","free class","data science","certificate"],"rating":3,"tags":[],"owner":{"name":"DataTalksClub","githubUrl":"https://github.com/DataTalksClub"},"license":null,"stars":14787,"contributors":141,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T16:47:35Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Register for the free yearly group, or study the materials at your own pace.","Make sure you have at least a year of programming experience first.","Watch the videos, then complete the homework and projects."],"officialDownload":null},{"slug":"superset","name":"Superset","repo":"superset-sh/superset","githubUrl":"https://github.com/superset-sh/superset","homepage":"https://superset.sh/","pageUrl":"/repo/superset","category":"Coding assistants","tagline":"A desktop app for running several AI coding agents at once, each on its own copy of your project.","whatItDoes":["Superset is a workspace for AI coding agents such as Claude Code and Codex. It gives you terminals, a view of code changes and a built-in browser to preview your app, all in one window.","You can run several agents in parallel, each working on its own copy of the code, then review what each one changed before keeping it. You can try two approaches to the same problem and pick the better one.","It can also run agents on a schedule and let you check on them remotely, including from an iPhone or iPad with the Superset Pro plan."],"whoFor":"Developers who use AI coding agents and want to manage several at once.","useWithoutCoding":"With some setup","keywords":["coding agents","claude code","parallel","desktop app","code review"],"rating":3,"tags":[],"owner":{"name":"Superset","githubUrl":"https://github.com/superset-sh"},"license":"NOASSERTION","stars":15345,"contributors":134,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:20:56Z","sources":[{"site":"Hacker News","title":"Launch HN: Superset (YC P26) – IDE for the agents era","url":"https://news.ycombinator.com/item?id=48236770","date":"2026-05-22"},{"site":"Hacker News","title":"Show HN: Superset – Run 10 parallel coding agents on your machine","url":"https://news.ycombinator.com/item?id=46109015","date":"2025-12-01"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Linux","Phone","Cloud"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Download the desktop app for Mac, or the experimental Linux version.","Add a project folder from your computer.","Create a workspace, choose your AI coding agent and describe a small change."],"officialDownload":"https://github.com/superset-sh/superset/releases/latest"},{"slug":"browser-harness","name":"Browser Harness","repo":"browser-use/browser-harness","githubUrl":"https://github.com/browser-use/browser-harness","homepage":"https://browser-harness.com/","pageUrl":"/repo/browser-harness","category":"Add-ons for AI coding tools","tagline":"Lets AI coding assistants use your own Chrome browser, already logged in, to do web tasks for you.","whatItDoes":["Browser Harness connects AI assistants such as Claude Code, Codex or Cursor to your real Chrome browser. The AI can open pages, click, type, read and download, using the accounts you're already logged in to.","You set it up by pasting one prompt into your assistant, then ticking a box in Chrome to allow the connection. When the AI needs something it can't do yet, it writes a small reusable helper for itself.","Because the AI acts as you in your browser, it's wise to watch what it does. Its makers also compare it with other browser tools and say when those may fit better."],"whoFor":"People already using an AI coding assistant who want it to handle tasks on websites.","useWithoutCoding":"With some setup","keywords":["browser automation","chrome","ai agent","web tasks","claude code"],"rating":3,"tags":[],"owner":{"name":"Browser Use","githubUrl":"https://github.com/browser-use"},"license":"MIT","stars":18487,"contributors":104,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T17:59:01Z","sources":[{"site":"Hacker News","title":"Show HN: Browser Harness – Gives LLM freedom to complete any browser task","url":"https://news.ycombinator.com/item?id=47890841","date":"2026-04-24"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Paste the setup prompt from the README into Claude Code or Codex.","When Chrome opens its remote debugging page, tick the checkbox so the agent can connect.","Then ask your coding agent to do a web task for you."],"officialDownload":null},{"slug":"kortix","name":"Kortix","repo":"kortix-ai/suna","githubUrl":"https://github.com/kortix-ai/suna","homepage":"https://www.kortix.com/","pageUrl":"/repo/kortix","category":"AI agents","tagline":"An open-source system for running a team of AI agents that do work and wait for human approval.","whatItDoes":["Kortix, which its makers call an \"AI Operating System\", lets a company run AI agents that produce finished work such as reports, slide decks, code and replies.","Everything (agents, their skills, company memory and connections to other tools) lives in one shared project folder with full history. Each task runs in its own isolated cloud computer, and results only take effect after a person approves them.","Agents can work inside Slack or Microsoft Teams, run on a schedule, and use any AI model with your own keys, on your own servers or the makers' hosted cloud."],"whoFor":"Teams and companies that want AI agents for real work with oversight and control.","useWithoutCoding":"With some setup","keywords":["ai employee","ai agents","team automation","slack bot","self-hosted"],"rating":3,"tags":[],"owner":{"name":"Kortix","githubUrl":"https://github.com/kortix-ai"},"license":"NOASSERTION","stars":20282,"contributors":91,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:46:33Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Cloud","Server","Web browser"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Sign up on the Kortix website, create a project and start a session, with nothing to install.","Or install the Kortix command-line tool to host it yourself for free.","Give an agent a task, then review and approve the changes it proposes."],"officialDownload":null},{"slug":"modelscope","name":"ModelScope","repo":"modelscope/modelscope","githubUrl":"https://github.com/modelscope/modelscope","homepage":"https://www.modelscope.cn/","pageUrl":"/repo/modelscope","category":"Developer building blocks","tagline":"A Python library for loading and using hundreds of AI models from the ModelScope hub in a few lines.","whatItDoes":["ModelScope is a library that connects to the ModelScope hub, a large online collection of AI models for language, images, speech and science. It gives programmers one simple way to load a model and use it, whatever the task.","For example, a few lines of code can split Chinese text into words or remove the background from a photo. It also includes tools for fine-tuning models and testing how well they work."],"whoFor":"Developers and researchers, especially those using models published on the ModelScope hub.","useWithoutCoding":"Developers only","keywords":["ai models","model hub","python library","download models"],"rating":3,"tags":["New this week"],"owner":{"name":"ModelScope","githubUrl":"https://github.com/modelscope"},"license":"Apache-2.0","stars":9179,"contributors":265,"monthlyDownloads":null,"lastPushedAt":"2026-10-11T17:27:13Z","sources":[{"site":"Hacker News","title":"Qwen 3.8-Flash-Next releasing tomorrow (125B a6B)","url":"https://news.ycombinator.com/item?id=49432317","date":"2026-08-25"},{"site":"Hacker News","title":"Qwen3.8 Weights Released","url":"https://news.ycombinator.com/item?id=49273277","date":"2026-08-12"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"outlines","name":"Outlines","repo":"dottxt-ai/outlines","githubUrl":"https://github.com/dottxt-ai/outlines","homepage":"https://dottxt-ai.github.io/outlines/","pageUrl":"/repo/outlines","category":"Developer building blocks","tagline":"Makes AI models reply in an exact format, such as valid JSON or a fixed set of choices.","whatItDoes":["AI models can be unpredictable in how they format answers, which breaks programs that expect a specific structure. Outlines makes the model follow a chosen structure while it writes, instead of fixing mistakes afterwards.","A developer simply says what type of answer they want, such as yes or no, a number, or a form with set fields, and Outlines makes sure the reply matches. It works with many model providers, including OpenAI, Ollama and vLLM."],"whoFor":"Developers who use AI output inside their software.","useWithoutCoding":"Developers only","keywords":["structured output","json","reliable ai","developers"],"rating":3,"tags":[],"owner":{"name":".txt","githubUrl":"https://github.com/dottxt-ai"},"license":"Apache-2.0","stars":15952,"contributors":189,"monthlyDownloads":1278852,"lastPushedAt":"2026-09-21T17:58:05Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"unilm","name":"UniLM","repo":"microsoft/unilm","githubUrl":"https://github.com/microsoft/unilm","homepage":"https://aka.ms/GeneralAI","pageUrl":"/repo/unilm","category":"AI models & research","tagline":"Microsoft research code and models for large AI systems that handle text, images, speech and documents.","whatItDoes":["This repository collects research from Microsoft on \"foundation models\", large AI models trained on huge amounts of data that can then be adapted to many tasks. It covers language, vision, speech, documents and models that combine them.","Projects include LayoutLM for understanding scanned documents and forms, TrOCR for reading text in images, BEiT for images, VALL-E for text-to-speech, the Kosmos multimodal models, and new model designs such as BitNet, RetNet and LongNet.","Many projects have their own folder with code and pretrained models. Most are aimed at researchers rather than everyday users."],"whoFor":"AI researchers and engineers who want to study or build on Microsoft's published models.","useWithoutCoding":"Developers only","keywords":["research","foundation models","document ai","multimodal","microsoft"],"rating":3,"tags":["Research-backed"],"owner":{"name":"Microsoft","githubUrl":"https://github.com/microsoft"},"license":"MIT","stars":22238,"contributors":78,"monthlyDownloads":null,"lastPushedAt":"2026-09-21T03:27:00Z","sources":[{"site":"Research paper","title":"Foundation Transformers (Magneto)","url":"https://arxiv.org/abs/2210.06423","date":"2022-10-01"},{"site":"Research paper","title":"BEiT-3: a general-purpose multimodal foundation model","url":"https://arxiv.org/abs/2208.10442","date":"2022-08-01"},{"site":"Research paper","title":"VALL-E: a language modeling approach for text to speech synthesis","url":"https://arxiv.org/abs/2301.02111","date":"2023-01-01"},{"site":"Research paper","title":"Kosmos-1: A Multimodal Large Language Model (MLLM)","url":"https://arxiv.org/abs/2302.14045","date":"2023-02-01"},{"site":"Research paper","title":"LongNet: Scaling Transformers to 1,000,000,000 Tokens","url":"https://arxiv.org/abs/2307.02486","date":"2023-07-01"},{"site":"Research paper","title":"RetNet: Retentive Network: A Successor to Transformer for Large Language Models","url":"https://arxiv.org/abs/2307.08621","date":"2023-07-01"},{"site":"Research paper","title":"Kosmos-2.5: a multimodal literate model","url":"https://arxiv.org/abs/2309.11419","date":"2023-09-01"},{"site":"Research paper","title":"BitNet: 1-bit Transformers for Large Language Models","url":"https://arxiv.org/abs/2310.11453","date":"2023-10-01"},{"site":"Hacker News","title":"Microsoft Kosmos-1: A Multimodal Large Language Model","url":"https://news.ycombinator.com/item?id=34980449","date":"2023-03-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"codewhale","name":"Codewhale","repo":"codewhale-hq/Codewhale","githubUrl":"https://github.com/codewhale-hq/Codewhale","homepage":"https://codewhale.net/","pageUrl":"/repo/codewhale","category":"Coding assistants","tagline":"A terminal coding agent that edits files and runs commands for you, using whichever AI model you choose.","whatItDoes":["Codewhale is an AI coding agent that runs in your terminal. You give it a task, and it reads the project, edits files and runs commands until the job is done or it needs your input.","It works with many AI providers (DeepSeek by default) and with models running on your own computer. It asks before running most commands, can undo your last request, and keeps \"receipts\" listing every file it changed and command it ran.","It has modes for planning only, doing the work, or pursuing a goal until it's verified, plus different permission levels."],"whoFor":"Programmers who want a coding agent that isn't tied to one AI company.","useWithoutCoding":"Developers only","keywords":["coding agent","terminal","deepseek","local models"],"rating":3,"tags":["Fast-rising"],"owner":{"name":"Codewhale","githubUrl":"https://github.com/codewhale-hq"},"license":"MIT","stars":41102,"contributors":241,"monthlyDownloads":23668,"lastPushedAt":"2026-10-19T01:39:03Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Codewhale with the installer for macOS, Linux or Windows.","Start it inside a project folder, then pick an AI provider and paste its API key, or choose a local model.","Type a task in plain English, such as fixing failing tests."],"officialDownload":"https://github.com/codewhale-hq/Codewhale/releases"},{"slug":"fincept-terminal","name":"Fincept Terminal","repo":"Fincept-Corporation/FinceptTerminal","githubUrl":"https://github.com/Fincept-Corporation/FinceptTerminal","homepage":"https://fincept.in/","pageUrl":"/repo/fincept-terminal","category":"Finance & trading","tagline":"A desktop app for researching markets and economies, with built-in AI research assistants.","whatItDoes":["Fincept Terminal is a desktop app for financial research. It brings together market data, economic statistics and analysis tools, such as company valuation models and portfolio calculations, in one window.","It includes dozens of AI \"agents\" for investing, economics and world events. You connect your own AI account key from providers such as OpenAI, Anthropic or Google, or use a local model through Ollama. It links to more than 100 data sources, including the World Bank and Yahoo Finance.","This free, open version is aimed at students, hobbyists and academics. The company also sells a separate paid edition with more data and features."],"whoFor":"Students, hobby investors and researchers who want to explore financial and economic data.","useWithoutCoding":"Yes","keywords":["finance","stock research","markets","economics","bloomberg alternative"],"rating":3,"tags":[],"owner":{"name":"Fincept Corporation","githubUrl":"https://github.com/Fincept-Corporation"},"license":"NOASSERTION","stars":32709,"contributors":46,"monthlyDownloads":null,"lastPushedAt":"2026-10-13T07:44:03Z","sources":[{"site":"Hacker News","title":"AI-Hedge Fund (With DeepSeek R1) – FincpetTerminal (OSS)","url":"https://news.ycombinator.com/item?id=42919378","date":"2025-02-03"}],"checkedByPerson":true,"cost":"Free, with optional paid extras","runsOn":["Windows","Linux","Mac"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the installer for Windows, Mac or Linux from the project's releases page.","Install and open Fincept Terminal.","To use the AI agents, add your own AI provider key or a local Ollama model."],"officialDownload":"https://github.com/Fincept-Corporation/FinceptTerminal/releases"},{"slug":"cognee","name":"Cognee","repo":"topoteretes/cognee","githubUrl":"https://github.com/topoteretes/cognee","homepage":"https://www.cognee.ai/","pageUrl":"/repo/cognee","category":"AI memory","tagline":"Gives AI agents a long-term memory built from your documents, code and conversations.","whatItDoes":["Cognee is an open-source \"memory\" system for AI agents. It reads documents, code and conversations and turns them into a knowledge graph, a map of facts and how they're connected, that an AI can search and reuse later.","This lets an agent remember past decisions, fixes and project context from one session to the next, or lets a team build a shared \"company brain\". Its makers say it can run locally for free using small models on your computer's processor, with no API key needed; adding an AI model gives written answers instead of just matching passages.","Developers can use it from Python, a command-line tool, plugins or an MCP connector, or use the makers' cloud service."],"whoFor":"Developers building AI agents or company knowledge tools that need to remember information over time.","useWithoutCoding":"Developers only","keywords":["ai memory","knowledge graph","agents","remember","company knowledge"],"rating":3,"tags":["Research-backed"],"owner":{"name":"Topoteretes","githubUrl":"https://github.com/topoteretes"},"license":"Apache-2.0","stars":32501,"contributors":328,"monthlyDownloads":86048,"lastPushedAt":"2026-10-18T23:23:51Z","sources":[{"site":"Research paper","title":"Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning","url":"https://arxiv.org/abs/2505.24478","date":"2025-05-01"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"ml-net","name":"ML.NET","repo":"dotnet/machinelearning","githubUrl":"https://github.com/dotnet/machinelearning","homepage":"https://dot.net/ml","pageUrl":"/repo/ml-net","category":"Developer building blocks","tagline":"Microsoft's free toolkit for adding machine learning to apps written in .NET.","whatItDoes":["ML.NET is a machine learning framework for .NET, Microsoft's family of programming languages such as C#. It lets developers build, train and use their own AI models inside their apps.","Its makers say you don't need prior machine learning experience. It covers tasks like sorting things into groups, forecasting and spotting unusual data, and can also use models made with TensorFlow and ONNX.","It runs on Windows, Linux and macOS."],"whoFor":".NET developers who want to add machine learning to their software.","useWithoutCoding":"Developers only","keywords":["machine learning","dotnet","c#","microsoft"],"rating":3,"tags":["New this week"],"owner":{"name":".NET Platform","githubUrl":"https://github.com/dotnet"},"license":"MIT","stars":9357,"contributors":248,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T07:50:58Z","sources":[{"site":"Hacker News","title":"Machine Learning for .NET","url":"https://news.ycombinator.com/item?id=18729001","date":"2018-12-20"},{"site":"Hacker News","title":"Machine Learning for .NET","url":"https://news.ycombinator.com/item?id=17016333","date":"2018-05-07"}],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"lance","name":"Lance","repo":"lance-format/lance","githubUrl":"https://github.com/lance-format/lance","homepage":"https://lance.org/","pageUrl":"/repo/lance","category":"Running AI at scale","tagline":"A data storage format built for AI, holding text, images, video and search data in one place.","whatItDoes":["Lance is a way of storing large datasets for AI work. It can hold images, videos, audio, text and embeddings (number codes that capture meaning) together.","It supports fast searches by meaning, keyword search and database-style queries on the same data. Its makers say it is much faster than common formats like Parquet for jumping to individual records.","It keeps automatic versions of your data and works with tools like Pandas, DuckDB, Spark and PyTorch."],"whoFor":"Data engineers and machine learning teams who manage large, mixed datasets for AI training or search.","useWithoutCoding":"Developers only","keywords":["ai data storage","vector search","data lake","multimodal data"],"rating":3,"tags":["New this week"],"owner":{"name":"Lance Format","githubUrl":"https://github.com/lance-format"},"license":"Apache-2.0","stars":7171,"contributors":296,"monthlyDownloads":3403154,"lastPushedAt":"2026-10-18T20:30:46Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"mooncake","name":"Mooncake","repo":"kvcache-ai/Mooncake","githubUrl":"https://github.com/kvcache-ai/Mooncake","homepage":"https://kvcache-ai.github.io/Mooncake/","pageUrl":"/repo/mooncake","category":"Running AI at scale","tagline":"The serving system behind the Kimi chatbot, built to handle many AI requests by sharing cached work.","whatItDoes":["Mooncake is the platform Moonshot AI uses to run its Kimi chatbot service. It is built around the KV cache, a kind of short-term memory AI models create while reading text, and shares this cache across many machines.","Its makers say this design lets Kimi handle many more requests while staying fast. Parts of Mooncake, such as its fast data-transfer engine and shared cache store, have been added to popular serving tools like vLLM, SGLang and TensorRT-LLM."],"whoFor":"Engineering teams running large language models at very large scale.","useWithoutCoding":"Developers only","keywords":["llm serving","kv cache","kimi","inference","data center"],"rating":3,"tags":["New this week"],"owner":{"name":"kvcache.ai","githubUrl":"https://github.com/kvcache-ai"},"license":"Apache-2.0","stars":6827,"contributors":375,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T19:15:10Z","sources":[{"site":"Hacker News","title":"Mooncake: A KVCache-Centric Disaggregated Architecture for LLM Serving","url":"https://news.ycombinator.com/item?id=40828091","date":"2024-06-29"}],"checkedByPerson":false,"cost":"Free","runsOn":["Server"],"hardware":"Made for servers or data centres","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"gpt-academic","name":"GPT Academic","repo":"binary-husky/gpt_academic","githubUrl":"https://github.com/binary-husky/gpt_academic","homepage":"https://github.com/binary-husky/gpt_academic/wiki/online","pageUrl":"/repo/gpt-academic","category":"Documents & knowledge","tagline":"A web app that uses AI chat models to help read, translate, polish and summarise academic papers.","whatItDoes":["GPT Academic is a browser-based interface for AI language models, built especially for academic work. With one click it can polish or proofread writing, translate text, find grammar errors and explain code.","It can read whole PDF or LaTeX papers (LaTeX is a format scientists use to write papers), summarise them and translate them in full. Other add-ons fetch arXiv papers, help draft related-work sections from Google Scholar results, and analyse code projects.","It works with many models, including OpenAI's GPT models and Chinese models such as Qwen and GLM, and some models can run locally. The main README is in Chinese, with translations available."],"whoFor":"Students, researchers and academics who read and write papers, especially in Chinese and English.","useWithoutCoding":"With some setup","keywords":["research papers","translate pdf","academic writing","proofreading","latex"],"rating":3,"tags":[],"owner":{"name":"binary-husky","githubUrl":"https://github.com/binary-husky"},"license":"GPL-3.0","stars":71499,"contributors":114,"monthlyDownloads":null,"lastPushedAt":"2026-01-25T12:33:10Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Windows","Mac","Linux","Cloud"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install the required Python packages, or use the ready-made Docker image.","Start the app and use it in your web browser."],"officialDownload":null},{"slug":"voyager","name":"Voyager","repo":"voyager-crew/voyager","githubUrl":"https://github.com/voyager-crew/voyager","homepage":"https://voyager.nagi.fun/en","pageUrl":"/repo/voyager","category":"Everyday tools","tagline":"A browser extension that adds folders, saved prompts, export and timelines to Gemini, ChatGPT, Claude and DeepSeek.","whatItDoes":["Voyager is a browser extension that makes AI chat websites easier to organise. You can sort conversations into folders, save and reuse prompts, delete chats in bulk, and copy maths formulas into Word or Notion.","On Gemini it adds extras such as a timeline to jump between messages, exporting chats to Markdown, PDF or images, and drawing diagrams. Some features, like the timeline and folders, also work on ChatGPT, Claude and DeepSeek through plug-ins.","Folders and prompts can sync through Google Drive, or iCloud on Safari."],"whoFor":"Heavy users of AI chatbots who want to keep conversations organised.","useWithoutCoding":"Yes","keywords":["chatgpt folders","gemini","organise chats","export chats","prompt library"],"rating":3,"tags":[],"owner":{"name":"Voyagers","githubUrl":"https://github.com/voyager-crew"},"license":"GPL-3.0","stars":20421,"contributors":83,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:20:45Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Add the Voyager extension to your browser from the Chrome Web Store or Firefox Add-ons.","Open Gemini, ChatGPT, Claude or DeepSeek in your browser.","Use the extension's pop-up menu to turn on features like folders, timelines and chat export."],"officialDownload":"https://github.com/voyager-crew/voyager/releases"},{"slug":"aider","name":"Aider","repo":"Aider-AI/aider","githubUrl":"https://github.com/Aider-AI/aider","homepage":"https://aider.chat/","pageUrl":"/repo/aider","category":"Coding assistants","tagline":"An AI pair programmer in your terminal that edits your code and saves each change.","whatItDoes":["Aider lets you work on code together with an AI model, as if you had a programming partner. You tell it what you want, and it changes the files in your project directly. It can start new projects or work on existing ones.","It builds a map of your whole codebase to work well in large projects, and supports most popular programming languages. Every change is saved in Git (a version-history tool), so you can review or undo what the AI did.","It works with many AI models, including Claude, DeepSeek and OpenAI models, as well as models running on your own computer. You can also add images and web pages for context, or talk to it with your voice."],"whoFor":"Programmers who are comfortable with the command line and want AI help writing and fixing code.","useWithoutCoding":"Developers only","keywords":["pair programming","code assistant","terminal","write code","git"],"rating":3,"tags":[],"owner":{"name":"Aider AI","githubUrl":"https://github.com/Aider-AI"},"license":"Apache-2.0","stars":49626,"contributors":182,"monthlyDownloads":null,"lastPushedAt":"2026-05-22T14:02:20Z","sources":[{"site":"Hacker News","title":"Show HN: Navigator Mode (Like Claude Code) for Aider","url":"https://news.ycombinator.com/item?id=43674180","date":"2025-04-13"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Install aider using Python's package installer.","Open your project folder in the terminal.","Start aider with your chosen AI model and its API key."],"officialDownload":"https://aider.chat/docs/install.html"},{"slug":"mlops-zoomcamp","name":"MLOps Zoomcamp","repo":"DataTalksClub/mlops-zoomcamp","githubUrl":"https://github.com/DataTalksClub/mlops-zoomcamp","homepage":"https://courses.datatalks.club/register/mlops-zoomcamp/","pageUrl":"/repo/mlops-zoomcamp","category":"Learning resources","tagline":"A free nine-week course on how to put machine learning models into real use and keep them running well.","whatItDoes":["MLOps (machine learning operations) is the work of taking AI models out of experiments and running them reliably for real users. This free course from DataTalks.Club teaches the basics, from training and tracking experiments to deployment and monitoring.","It includes video lectures, course materials and homework. You can join a live group with graded homework and a certificate when one runs, or study at your own pace at any time."],"whoFor":"Data scientists, machine learning engineers and software engineers with programming experience.","useWithoutCoding":"Developers only","keywords":["free course","mlops","machine learning","deployment","learn"],"rating":3,"tags":[],"owner":{"name":"DataTalksClub","githubUrl":"https://github.com/DataTalksClub"},"license":null,"stars":15435,"contributors":119,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T13:49:37Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Follow the course materials on GitHub and the video lectures, at your own pace.","Join the course Slack channel to ask questions.","Do the homework and build the final project for your portfolio."],"officialDownload":null},{"slug":"aris","name":"ARIS (Auto-Research-In-Sleep)","repo":"wanshuiyin/Auto-claude-code-research-in-sleep","githubUrl":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep","homepage":null,"pageUrl":"/repo/aris","category":"Add-ons for AI coding tools","tagline":"A set of instructions that lets AI coding assistants carry out machine-learning research steps on their own.","whatItDoes":["ARIS is a collection of \"skills\", plain instruction files, that turns AI coding assistants such as Claude Code, Codex or Cursor into research helpers for machine learning. The name stands for Auto-Research-In-Sleep: the idea is that the AI keeps working while you're away.","The skills cover finding research ideas, running experiments and writing and reviewing papers. A key feature is cross-model review, where a second AI model checks the first one's work.","Its makers describe it as a method rather than a platform, with no framework to lock you in. It also comes as a standalone command-line tool and plugins, and the README links to a technical report."],"whoFor":"Machine-learning researchers and students who use AI coding assistants.","useWithoutCoding":"Developers only","keywords":["research","machine learning","claude code","automation","papers"],"rating":3,"tags":["Research-backed"],"owner":{"name":"Yang Ruofeng","githubUrl":"https://github.com/wanshuiyin"},"license":"MIT","stars":17669,"contributors":99,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T09:13:22Z","sources":[{"site":"Research paper","title":"ARIS technical report (arXiv:2605.03042)","url":"https://huggingface.co/papers/2605.03042","date":"2026-05-01"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Set up a coding assistant such as Claude Code or Codex CLI.","Install the ARIS skills into it, or download the standalone ARIS-Code app from the releases page."],"officialDownload":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/releases"},{"slug":"mcp-for-blender","name":"MCP for Blender","repo":"ahujasid/mcp-for-blender","githubUrl":"https://github.com/ahujasid/mcp-for-blender","homepage":"https://www.mcp-for-blender.com/","pageUrl":"/repo/mcp-for-blender","category":"3D & design","tagline":"Lets you build and change 3D scenes in Blender by describing what you want to an AI assistant.","whatItDoes":["MCP for Blender connects Blender, a free 3D design program, to AI assistants such as Claude, Codex or Cursor. You can then ask the AI to create objects, set up a scene or change what is already there, and it does the work inside Blender.","It uses MCP (Model Context Protocol), a standard way for AI assistants to control outside tools. A setup command finds the AI apps on your computer and installs the Blender add-on for you.","It is a community project and is not made by or affiliated with the Blender Foundation."],"whoFor":"3D artists, hobbyists and designers who use Blender and want AI help with modelling.","useWithoutCoding":"With some setup","keywords":["blender","3d modeling","3d design","mcp"],"rating":3,"tags":[],"owner":{"name":"ahujasid","githubUrl":"https://github.com/ahujasid"},"license":"MIT","stars":31569,"contributors":45,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T15:42:25Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install Blender and an AI app such as Claude Desktop, Claude Code or Cursor.","Run the project's one-line installer, which sets up your AI app and the Blender add-on.","Fully quit and reopen your AI app, open Blender, and ask it to build something."],"officialDownload":null},{"slug":"speechbrain","name":"SpeechBrain","repo":"speechbrain/speechbrain","githubUrl":"https://github.com/speechbrain/speechbrain","homepage":"http://speechbrain.github.io/","pageUrl":"/repo/speechbrain","category":"Speech & audio","tagline":"An open toolkit for building speech AI, such as speech recognition, speaker recognition and noise removal.","whatItDoes":["SpeechBrain is an open-source toolkit for building speech and language technology, built on PyTorch. It covers speech recognition, recognising who is speaking, cleaning up noisy audio, separating voices and more.","It comes with over a hundred ready-trained models and many training recipes, so researchers can reuse or fine-tune existing work. Its makers say transcribing a file takes only a few lines of code.","It also has many tutorials and is used in teaching at several universities."],"whoFor":"Researchers, students and developers working on speech technology.","useWithoutCoding":"Developers only","keywords":["speech recognition","speaker recognition","noise reduction","transcription","research toolkit"],"rating":3,"tags":["New this week"],"owner":{"name":"SpeechBrain","githubUrl":"https://github.com/speechbrain"},"license":"Apache-2.0","stars":11887,"contributors":288,"monthlyDownloads":1015647,"lastPushedAt":"2026-10-14T23:12:55Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"awesome-deepseek-integrations","name":"Awesome DeepSeek Integrations","repo":"deepseek-ai/awesome-deepseek-integration","githubUrl":"https://github.com/deepseek-ai/awesome-deepseek-integration","homepage":null,"pageUrl":"/repo/awesome-deepseek-integrations","category":"Learning resources","tagline":"A list of apps, plug-ins and tools that work with DeepSeek's AI models.","whatItDoes":["This is a curated list of software that can use DeepSeek, a family of AI models. It's grouped into sections such as desktop and mobile apps, browser extensions, office add-ins, chat app plug-ins, code editor extensions and developer frameworks.","Each entry has a short description and a link, so you can find a tool that brings DeepSeek into software you already use. The list also points to DeepSeek's platform for getting an API key (a password that lets apps use the models)."],"whoFor":"Anyone looking for tools that connect DeepSeek models to their favourite apps.","useWithoutCoding":"Yes","keywords":["deepseek","apps","plugins","integrations","list"],"rating":3,"tags":[],"owner":{"name":"DeepSeek","githubUrl":"https://github.com/deepseek-ai"},"license":"CC0-1.0","stars":39418,"contributors":245,"monthlyDownloads":null,"lastPushedAt":"2026-02-23T16:27:47Z","sources":[{"site":"Hacker News","title":"Awesome DeepSeek Integrations","url":"https://news.ycombinator.com/item?id=43169827","date":"2025-02-25"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Browse the list of apps and plug-ins by category on the project's GitHub page.","Open a project's link to see how to use it with DeepSeek."],"officialDownload":null},{"slug":"airsim","name":"AirSim","repo":"microsoft/AirSim","githubUrl":"https://github.com/microsoft/AirSim","homepage":"https://microsoft.github.io/AirSim/","pageUrl":"/repo/airsim","category":"Robotics & simulation","tagline":"A realistic 3D simulator for testing self-flying drones and self-driving cars before trying them in the real world.","whatItDoes":["AirSim is a simulator for drones, cars and more, built on the Unreal Engine game engine. It creates realistic virtual worlds, so researchers can test vehicles safely.","Its goal is to be a platform for AI research in computer vision, deep learning and reinforcement learning (learning by trial and error). Programs can control vehicles and collect camera images and sensor data, for example to train AI models.","You can also fly or drive manually with a remote control or keyboard, and change the weather."],"whoFor":"Researchers, students and engineers working on drones, self-driving cars and robotics.","useWithoutCoding":"With some setup","keywords":["drone simulator","self-driving","robotics","simulation","research"],"rating":3,"tags":["Research-backed"],"owner":{"name":"Microsoft","githubUrl":"https://github.com/microsoft"},"license":"NOASSERTION","stars":18561,"contributors":249,"monthlyDownloads":null,"lastPushedAt":"2026-09-15T16:17:06Z","sources":[{"site":"Research paper","title":"AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles","url":"https://arxiv.org/abs/1705.05065","date":"2017-05-01"},{"site":"Hacker News","title":"AirSim: open-source simulator for autonomous vehicles","url":"https://news.ycombinator.com/item?id=21005190","date":"2019-09-18"}],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Linux","Mac"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Download the ready-made program for Windows or Linux from the project's releases page.","Start the simulator and drive a car with the arrow keys, or fly a drone with a remote control.","Read the documentation to control vehicles and collect data from code."],"officialDownload":"https://github.com/Microsoft/AirSim/releases"},{"slug":"tesseract-js","name":"Tesseract.js","repo":"naptha/tesseract.js","githubUrl":"https://github.com/naptha/tesseract.js","homepage":"http://tesseract.projectnaptha.com/","pageUrl":"/repo/tesseract-js","category":"Developer building blocks","tagline":"A JavaScript library that reads text from images, right in a web browser or in Node.js.","whatItDoes":["Tesseract.js brings the Tesseract text-recognition engine to JavaScript, so websites and apps can pull words out of images in many languages without sending them to a server.","It works in web browsers and in Node.js, a way of running JavaScript outside the browser. Its makers note it does not read PDF files and does not change Tesseract's accuracy."],"whoFor":"Web developers who want to add text recognition to their sites or apps.","useWithoutCoding":"Developers only","keywords":["ocr","image to text","javascript","browser"],"rating":3,"tags":["Widely used"],"owner":{"name":"Project Naptha","githubUrl":"https://github.com/naptha"},"license":"Apache-2.0","stars":38770,"contributors":86,"monthlyDownloads":13832439,"lastPushedAt":"2026-05-17T04:19:12Z","sources":[{"site":"Hacker News","title":"Show HN: Tesseract.js – Pure JavaScript OCR for 60 Languages","url":"https://news.ycombinator.com/item?id=12694004","date":"2016-10-12"},{"site":"Hacker News","title":"Tesseract.js wraps an Emscripten port of the Tesseract OCR Engine","url":"https://news.ycombinator.com/item?id=31312064","date":"2022-05-09"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser","Server"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"rag-techniques","name":"RAG Techniques","repo":"NirDiamant/RAG_Techniques","githubUrl":"https://github.com/NirDiamant/RAG_Techniques","homepage":"https://diamant-ai.com/","pageUrl":"/repo/rag-techniques","category":"Learning resources","tagline":"A collection of hands-on tutorials showing different ways to help AI answer questions from your own documents.","whatItDoes":["RAG (retrieval-augmented generation) is a common method where an AI first looks up relevant passages in your documents and then writes an answer from them. This project collects many techniques for doing that well.","Each technique comes as a runnable notebook, a document that mixes explanation and code you can run step by step. The topics go from basic set-ups to more advanced methods.","It is community-driven. The README also promotes a paid course, a book and a newsletter from the author."],"whoFor":"Developers and students who want to learn how to build better document question-answering systems.","useWithoutCoding":"Developers only","keywords":["rag","tutorial","document search","notebooks","learn ai"],"rating":3,"tags":[],"owner":{"name":"Nir Diamant","githubUrl":"https://github.com/NirDiamant"},"license":"NOASSERTION","stars":29908,"contributors":47,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T15:16:56Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"streamdown","name":"Streamdown","repo":"vercel/streamdown","githubUrl":"https://github.com/vercel/streamdown","homepage":"https://streamdown.ai/","pageUrl":"/repo/streamdown","category":"Developer building blocks","tagline":"A code component that neatly displays AI chat replies as they stream in, even half-finished ones.","whatItDoes":["Streamdown is a building block for websites made with React. It shows formatted text written in Markdown, the simple formatting most AI chatbots use, while the reply is still arriving word by word.","It handles unfinished tables, code and lists without breaking the layout, and supports tables, maths formulas, diagrams and highlighted code. Its makers say it is built with safe rendering in mind and can replace the widely used react-markdown."],"whoFor":"Web developers building AI chat interfaces.","useWithoutCoding":"Developers only","keywords":["markdown","ai chat ui","react","streaming"],"rating":3,"tags":["Widely used","New this week"],"owner":{"name":"Vercel","githubUrl":"https://github.com/vercel"},"license":"NOASSERTION","stars":5708,"contributors":99,"monthlyDownloads":28870903,"lastPushedAt":"2026-10-16T18:38:45Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"prompt-optimizer","name":"Prompt Optimizer","repo":"linshenkx/prompt-optimizer","githubUrl":"https://github.com/linshenkx/prompt-optimizer","homepage":"https://prompt.always200.com/","pageUrl":"/repo/prompt-optimizer","category":"Everyday tools","tagline":"Rewrites your AI prompts to get clearer, better answers, and lets you test the results side by side.","whatItDoes":["A prompt is the instruction you type into an AI tool. Prompt Optimizer helps you improve those instructions with one click, over several rounds, so the AI gives more accurate and useful answers.","You can compare and score results to see whether a new prompt really is better, save good prompts with their history, and use it for image-generation prompts too. It connects to many AI services, including OpenAI, Gemini, DeepSeek and Grok.","It comes as a website, a desktop app, a Chrome extension or a self-hosted version. Its makers say your data goes straight to the AI provider rather than through their servers."],"whoFor":"Anyone who uses AI chatbots or image generators and wants better results from their prompts.","useWithoutCoding":"Yes","keywords":["prompt","better answers","chatgpt tips","prompt engineering"],"rating":3,"tags":[],"owner":{"name":"且炼时光","githubUrl":"https://github.com/linshenkx"},"license":"NOASSERTION","stars":38470,"contributors":33,"monthlyDownloads":null,"lastPushedAt":"2026-10-13T02:37:27Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Web browser","Windows","Mac","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Open the online version in your browser, or download the desktop app from the releases page.","Connect one working text model from an AI provider in the Model Manager.","Paste your prompt, optimise it, and compare the results side by side."],"officialDownload":"https://github.com/linshenkx/prompt-optimizer/releases"},{"slug":"qwenpaw","name":"QwenPaw","repo":"agentscope-ai/QwenPaw","githubUrl":"https://github.com/agentscope-ai/QwenPaw","homepage":"http://qwenpaw.agentscope.io/","pageUrl":"/repo/qwenpaw","category":"AI agents","tagline":"A personal AI assistant you run yourself that remembers you, runs scheduled tasks and works in your chat apps.","whatItDoes":["QwenPaw is a personal AI assistant you can run on your own computer or in the cloud. It can set up recurring jobs like news digests or reports, work with PDF, Word, Excel and PowerPoint files, search the web, and summarise videos.","It has a layered memory, so it keeps track of your conversations and builds a personal knowledge base you can read and edit. You can reach it through chat apps such as Discord, Telegram, WeChat, DingTalk and iMessage, or through its own console and desktop app.","It can use its own small models running locally with no API key, or connect to tools like Ollama and LM Studio and many cloud AI providers. Its makers say it includes safety features that block dangerous commands before they run."],"whoFor":"People who want a private, customisable AI assistant, and developers who want to extend one.","useWithoutCoding":"With some setup","keywords":["personal assistant","self-hosted","chatbot","automation","memory"],"rating":3,"tags":["Fast-rising"],"owner":{"name":"AgentScope-AI","githubUrl":"https://github.com/agentscope-ai"},"license":"Apache-2.0","stars":35835,"contributors":247,"monthlyDownloads":15362,"lastPushedAt":"2026-10-19T01:29:26Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux","Windows","Web browser","Cloud"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install QwenPaw with the one-line installer for Mac, Linux or Windows.","Open the console in your web browser and choose a local or cloud AI model.","Optionally, connect chat apps like Telegram or Discord."],"officialDownload":null},{"slug":"go-openai","name":"Go OpenAI","repo":"sashabaranov/go-openai","githubUrl":"https://github.com/sashabaranov/go-openai","homepage":null,"pageUrl":"/repo/go-openai","category":"Developer building blocks","tagline":"An unofficial code library that lets programs written in Go use OpenAI's AI services.","whatItDoes":["Go OpenAI is a library for the Go programming language. It gives programmers a ready-made way to talk to the OpenAI API, the doorway that lets programs use OpenAI's models.","It covers text generation, chat, images, speech-to-text, embeddings, file handling, fine-tuning and more. It can also point at other services that copy OpenAI's API, including Azure OpenAI.","The README notes that it is not made by OpenAI."],"whoFor":"Go developers adding OpenAI features to their software.","useWithoutCoding":"Developers only","keywords":["openai","chatgpt api","golang","gpt","whisper api"],"rating":3,"tags":["New this week"],"owner":{"name":"Alex Baranov","githubUrl":"https://github.com/sashabaranov"},"license":"Apache-2.0","stars":10787,"contributors":184,"monthlyDownloads":null,"lastPushedAt":"2026-09-29T21:56:52Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"kserve","name":"KServe","repo":"kserve/kserve","githubUrl":"https://github.com/kserve/kserve","homepage":"https://kserve.github.io/website/","pageUrl":"/repo/kserve","category":"Running AI at scale","tagline":"A platform for serving AI models to many users on Kubernetes.","whatItDoes":["KServe is a platform for running AI models in production on Kubernetes, the system for managing software across many servers.","It supports both generative models, such as large language models, and traditional prediction models from many machine learning frameworks, with one standard way to send requests.","It offers features like automatic scaling, including scaling down to nothing when idle to save money, and gradual rollouts of new versions."],"whoFor":"Engineering teams serving AI models at scale on Kubernetes.","useWithoutCoding":"Developers only","keywords":["model serving","kubernetes","inference","scaling","mlops"],"rating":3,"tags":["New this week"],"owner":{"name":"KServe","githubUrl":"https://github.com/kserve"},"license":"Apache-2.0","stars":6130,"contributors":394,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T03:20:36Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Cloud","Server"],"hardware":"Made for servers or data centres","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"librephotos","name":"LibrePhotos","repo":"LibrePhotos/librephotos","githubUrl":"https://github.com/LibrePhotos/librephotos","homepage":"https://docs.librephotos.com/","pageUrl":"/repo/librephotos","category":"Images & video","tagline":"A self-hosted photo library that uses AI to recognise faces, tag photos and search by description.","whatItDoes":["LibrePhotos is a private alternative to cloud photo services that you run on your own computer or home server. It organises photos and videos into a timeline, albums and a map.","It uses machine learning to group faces, add tags and captions, and let you search with phrases like \"dog on a beach\". It also spots duplicates and creates event albums automatically.","There is a web app and a mobile app for Android and iOS, with support for multiple users and shared albums."],"whoFor":"People who want a private, self-hosted photo library with smart search.","useWithoutCoding":"With some setup","keywords":["photo library","google photos alternative","face recognition","self-hosted photos"],"rating":3,"tags":["New this week"],"owner":{"name":"LibrePhotos","githubUrl":"https://github.com/LibrePhotos"},"license":"MIT","stars":8109,"contributors":269,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T14:05:19Z","sources":[{"site":"Hacker News","title":"LibrePhotos: A Self-Hosted Google Photos Alternative","url":"https://news.ycombinator.com/item?id=25588712","date":"2020-12-31"}],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Linux","Server","Web browser","Phone"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Point LibrePhotos at your photo folders and let it scan them.","Open the web app or the mobile app to browse and search your photos."],"officialDownload":null},{"slug":"agenticseek","name":"AgenticSeek","repo":"Fosowl/agenticSeek","githubUrl":"https://github.com/Fosowl/agenticSeek","homepage":"http://agenticseek.tech/","pageUrl":"/repo/agenticseek","category":"AI agents","tagline":"A private AI assistant that browses the web, writes code and plans tasks, running on your own computer.","whatItDoes":["AgenticSeek is an AI agent, an assistant that takes actions rather than just chatting. It can search and read websites, fill in web forms, write and run code, and split big tasks into steps handled by different specialised agents.","Its makers describe it as a local alternative to Manus AI, designed to run with AI models on your own hardware so your files and searches stay private. Cloud AI services can be used too, optionally. Voice control is in progress.","Its makers describe it as a side project without a formal roadmap."],"whoFor":"Tech-savvy users who want a private, self-hosted AI agent.","useWithoutCoding":"With some setup","keywords":["ai agent","local ai","private assistant","web browsing","manus alternative"],"rating":3,"tags":[],"owner":{"name":"Martin Legrand","githubUrl":"https://github.com/Fosowl"},"license":"GPL-3.0","stars":27506,"contributors":51,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T19:02:25Z","sources":[{"site":"Hacker News","title":"Show HN: AgenticSeek – Self-hosted alternative to cloud-based AI tools","url":"https://news.ycombinator.com/item?id=43805457","date":"2025-04-26"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Git, Python 3.10 and Docker Desktop.","Start a local model provider such as Ollama, then start AgenticSeek."],"officialDownload":null},{"slug":"gorilla","name":"Gorilla","repo":"ShishirPatil/gorilla","githubUrl":"https://github.com/ShishirPatil/gorilla","homepage":"https://gorilla.cs.berkeley.edu/","pageUrl":"/repo/gorilla","category":"AI models & research","tagline":"Research on teaching AI models to use software tools correctly, including a well-known scoreboard for comparing models.","whatItDoes":["Gorilla is a research project from the University of California, Berkeley about \"function calling\": getting an AI model to pick the right software tool and use it properly when you ask for something in plain words.","The project includes its own fine-tuned models, a large collection of software tool descriptions for training, and the Berkeley Function Calling Leaderboard, which scores how well different AI models use tools.","It also covers related work, such as a system for safely running and undoing actions an AI takes, and a command-line helper that turns plain requests into terminal commands."],"whoFor":"AI researchers and developers who want to measure or improve how well models use tools and APIs.","useWithoutCoding":"Developers only","keywords":["function calling","tool use","leaderboard","benchmark","research"],"rating":3,"tags":["Research-backed","New this week"],"owner":{"name":"Shishir Patil","githubUrl":"https://github.com/ShishirPatil"},"license":"Apache-2.0","stars":13053,"contributors":140,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T06:06:24Z","sources":[{"site":"Research paper","title":"Gorilla: Large Language Model Connected with Massive APIs","url":"https://arxiv.org/abs/2305.15334","date":"2023-05-01"},{"site":"Research paper","title":"GoEx: a runtime for running actions written by AI models (paper linked in the README)","url":"https://arxiv.org/abs/2404.06921","date":"2024-04-01"},{"site":"Hacker News","title":"LLMs Are Taking over APIs","url":"https://news.ycombinator.com/item?id=36998963","date":"2023-08-04"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"code-review-graph","name":"code-review-graph","repo":"tirth8205/code-review-graph","githubUrl":"https://github.com/tirth8205/code-review-graph","homepage":"https://code-review-graph.com/","pageUrl":"/repo/code-review-graph","category":"Add-ons for AI coding tools","tagline":"Builds a map of your code so AI coding tools only read the parts that matter for a change.","whatItDoes":["AI coding tools often reread large parts of a project to review a change. This tool builds a map of the code, showing which functions call which and which tests cover what, and keeps it up to date as files change.","When you ask an AI assistant to review a change, the map tells it exactly which files could be affected, so it reads less. Its makers publish measurements showing much smaller amounts of text sent to the AI.","It runs on your own computer and works with many AI coding tools, including Claude Code, Cursor, Codex and Gemini CLI."],"whoFor":"Programmers who use AI coding assistants on larger projects.","useWithoutCoding":"Developers only","keywords":["code review","ai coding","save tokens","codebase map"],"rating":3,"tags":["Fast-rising"],"owner":{"name":"Tirth Kanani","githubUrl":"https://github.com/tirth8205"},"license":"MIT","stars":32252,"contributors":143,"monthlyDownloads":301897,"lastPushedAt":"2026-10-16T11:20:26Z","sources":[{"site":"Hacker News","title":"Code-review-graph: persistent code graph that cuts Claude Code token usage","url":"https://news.ycombinator.com/item?id=47314090","date":"2026-03-09"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install it with Python's package installer.","Run its install step so it finds and connects to your AI coding tools.","Open your project and ask your AI assistant to build the code review graph."],"officialDownload":null},{"slug":"gsd-core","name":"GSD Core","repo":"open-gsd/gsd-core","githubUrl":"https://github.com/open-gsd/gsd-core","homepage":"https://opengsd.net/","pageUrl":"/repo/gsd-core","category":"Add-ons for AI coding tools","tagline":"A step-by-step workflow that keeps AI coding assistants organised from plan to finished code.","whatItDoes":["GSD Core (short for Git. Ship. Done.) adds a structured way of working to AI coding assistants like Claude Code, Cursor, Codex and Copilot.","Each part of a project goes through five steps: discuss, plan, execute, verify and ship. Its makers say this stops the assistant from getting confused in long sessions, gives it memory between sessions, and checks that the code actually works.","An installer sets it up for the coding tool you use, either for one project or for all of them."],"whoFor":"Developers who use AI coding assistants on bigger projects and want a more reliable, repeatable process.","useWithoutCoding":"Developers only","keywords":["claude code","spec-driven","coding workflow","planning","cursor"],"rating":3,"tags":["New this week"],"owner":{"name":"Open GSD","githubUrl":"https://github.com/open-gsd"},"license":"MIT","stars":10659,"contributors":184,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:10:14Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Run the project's installer and choose the AI coding tool you use.","Start a new project or bring in an existing one, then follow the discuss, plan, execute, verify and ship steps."],"officialDownload":null},{"slug":"orama","name":"Orama","repo":"oramasearch/orama","githubUrl":"https://github.com/oramasearch/orama","homepage":"https://docs.orama.com/docs/orama-js","pageUrl":"/repo/orama","category":"Developer building blocks","tagline":"A small search engine that runs inside a web page or app, finding results by keywords, meaning, or both.","whatItDoes":["Orama is a search engine that developers can put directly into a website, app or server. It can search by exact words, by meaning (using vector search, where text is turned into numbers that capture its sense), or by a mix of the two.","It includes common search features such as filters, typo tolerance, location search and support for many languages. It can also power AI chat sessions that answer questions from the data you've added.","Its makers say the core is very small, so it can run in a browser without a separate search server."],"whoFor":"Web developers who want fast search or AI-powered answers in their site or app.","useWithoutCoding":"Developers only","keywords":["search engine","site search","vector search","javascript"],"rating":3,"tags":["Widely used","New this week"],"owner":{"name":"Orama","githubUrl":"https://github.com/oramasearch"},"license":"NOASSERTION","stars":10578,"contributors":112,"monthlyDownloads":5451405,"lastPushedAt":"2026-10-18T16:53:33Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser","Server"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"rig","name":"Rig","repo":"0xPlaygrounds/rig","githubUrl":"https://github.com/0xPlaygrounds/rig","homepage":"https://rig.rs/","pageUrl":"/repo/rig","category":"Developer building blocks","tagline":"A Rust code library for building apps and agents powered by AI language models.","whatItDoes":["Rig is a code library for the Rust programming language that helps developers build apps powered by AI language models. It offers one common way to talk to over twenty AI providers and more than ten vector stores, which are databases for search by meaning.","It supports AI agents that work over several turns, and also transcription, audio and image generation. The README warns that upcoming updates will include breaking changes."],"whoFor":"Rust developers adding AI features or agents to their software.","useWithoutCoding":"Developers only","keywords":["rust","llm library","ai agents","build ai apps"],"rating":3,"tags":["New this week"],"owner":{"name":"Playgrounds","githubUrl":"https://github.com/0xPlaygrounds"},"license":"MIT","stars":8910,"contributors":231,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:43:29Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"agentscope","name":"AgentScope","repo":"agentscope-ai/agentscope","githubUrl":"https://github.com/agentscope-ai/agentscope","homepage":"https://docs.agentscope.io/","pageUrl":"/repo/agentscope","category":"Developer building blocks","tagline":"A toolkit for programmers to build AI agents, including teams of agents and real-time voice agents.","whatItDoes":["AgentScope is a framework, a set of building blocks for programmers, for making AI agents: programs where an AI model reasons, uses tools and completes tasks.","Its makers say it is designed to rely on the growing abilities of AI models rather than forcing them through rigid scripts. Recent additions include a leader agent that hands tasks to others, step-by-step procedures, choosing a model per reply, and live voice conversations.","It can connect to agents running elsewhere and to tools shared through MCP, a standard way to plug tools into AI."],"whoFor":"Python developers building agent-based apps, chatbots or voice assistants.","useWithoutCoding":"Developers only","keywords":["ai agents","multi-agent","voice agent","framework","python"],"rating":3,"tags":["Research-backed"],"owner":{"name":"AgentScope-AI","githubUrl":"https://github.com/agentscope-ai"},"license":"Apache-2.0","stars":33472,"contributors":169,"monthlyDownloads":196536,"lastPushedAt":"2026-10-15T10:49:49Z","sources":[{"site":"Research paper","title":"AgentScope: A Flexible yet Robust Multi-Agent Platform","url":"https://arxiv.org/abs/2402.14034","date":"2024-02-01"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"gpt-researcher","name":"GPT Researcher","repo":"assafelovic/gpt-researcher","githubUrl":"https://github.com/assafelovic/gpt-researcher","homepage":"https://gptr.dev/","pageUrl":"/repo/gpt-researcher","category":"AI agents","tagline":"An AI agent that researches a topic on the web or in your files and writes a detailed report with sources.","whatItDoes":["GPT Researcher does \"deep research\" for you. Give it a question and it plans a set of research questions, sends helper agents to gather information for each, and then combines what they found into a long report with citations.","It can search the web or your own documents, and works with many AI providers. Its makers say the goal is accurate, unbiased, factual reports, and that using many sources helps reduce bias and outdated answers.","It comes with a web interface and can also be added to Claude as a skill."],"whoFor":"Students, analysts, journalists and anyone who needs a well-sourced research report on a topic.","useWithoutCoding":"With some setup","keywords":["research assistant","deep research","report writer","citations","web search"],"rating":3,"tags":[],"owner":{"name":"Assaf Elovic","githubUrl":"https://github.com/assafelovic"},"license":"Apache-2.0","stars":30163,"contributors":286,"monthlyDownloads":40664,"lastPushedAt":"2026-10-10T22:03:53Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Install Python 3.12 or later and download the project.","Add your OpenAI and Tavily API keys to a settings file.","Start the server and open the local web page to begin a research task."],"officialDownload":null},{"slug":"orchestrator-inc","name":"Orchestrator.inc","repo":"OrchestratorInc/agent-orchestrator","githubUrl":"https://github.com/OrchestratorInc/agent-orchestrator","homepage":null,"pageUrl":"/repo/orchestrator-inc","category":"Add-ons for AI coding tools","tagline":"A desktop app for running and supervising several AI coding agents on one project at once.","whatItDoes":["Orchestrator.inc is a desktop workspace for people who use AI coding agents, such as Claude Code or Codex. Each task gets its own agent and its own separate copy of the code, so agents don't trip over each other.","A planning agent, called the orchestrator, can break a bigger goal into smaller tasks and hand them out. A live board, like a to-do wall, shows which tasks are working, which need you, which are in review and which are ready to finish.","It follows each agent's code changes, automated checks and review comments, and can pass feedback back to the agent that owns the work."],"whoFor":"Programmers and teams who already use AI coding agents and want to run several of them in an organised way.","useWithoutCoding":"With some setup","keywords":["coding agents","project management","claude code","codex","kanban"],"rating":3,"tags":["New this week"],"owner":{"name":"Orchestrator.inc","githubUrl":"https://github.com/OrchestratorInc"},"license":"Apache-2.0","stars":13330,"contributors":129,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:47:42Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Download the desktop app for your computer from the project's releases page and open it.","Point it at the code project you want it to manage.","Start a new task, describe what you want, and choose a coding agent and model."],"officialDownload":"https://github.com/OrchestratorInc/agent-orchestrator/releases"},{"slug":"pascal-editor","name":"Pascal Editor","repo":"pascalorg/editor","githubUrl":"https://github.com/pascalorg/editor","homepage":"https://editor.pascal.app/","pageUrl":"/repo/pascal-editor","category":"3D & design","tagline":"A 3D building and floor-plan editor that runs in your browser and can be controlled by AI agents.","whatItDoes":["Pascal Editor lets you design buildings in 3D, from walls and rooms to finishes. It runs in a web browser and keeps projects on your own computer.","It also offers a connection (MCP) so AI agents can help create and change designs. It can be started with one command or self-hosted for a team."],"whoFor":"Architects, home designers and hobbyists, plus developers who want AI help with 3D design.","useWithoutCoding":"With some setup","keywords":["3d design","floor plan","architecture","cad","home design"],"rating":3,"tags":[],"owner":{"name":"Pascal","githubUrl":"https://github.com/pascalorg"},"license":"MIT","stars":24970,"contributors":54,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T19:29:31Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser","Server"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Explore the live demo in your browser.","Install Node.js and start the Pascal editor on your own computer.","Optionally connect an AI agent so it can help edit your 3D building."],"officialDownload":null},{"slug":"best-of-ml-python","name":"Best-of Machine Learning with Python","repo":"lukasmasuch/best-of-ml-python","githubUrl":"https://github.com/lukasmasuch/best-of-ml-python","homepage":"https://ml-python.best-of.org/","pageUrl":"/repo/best-of-ml-python","category":"Learning resources","tagline":"A ranked, regularly updated list of open-source machine learning libraries for Python.","whatItDoes":["This is a curated list of open-source machine learning projects written in Python, grouped into dozens of categories such as text, images, audio, time series and model explainability.","Projects are ranked by a quality score worked out automatically from public data, and marked when they are new, trending or inactive. Its makers say the list is updated weekly."],"whoFor":"Developers, students and data scientists looking for the right tool for a job.","useWithoutCoding":"Yes","keywords":["machine learning libraries","python","list","find ai tools"],"rating":3,"tags":[],"owner":{"name":"Lukas Masuch","githubUrl":"https://github.com/lukasmasuch"},"license":"CC-BY-SA-4.0","stars":23849,"contributors":57,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T14:14:39Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Browse the list by category, such as text, images or audio.","Follow a project's link to learn more about it."],"officialDownload":null},{"slug":"impeccable","name":"Impeccable","repo":"pbakaus/impeccable","githubUrl":"https://github.com/pbakaus/impeccable","homepage":"https://impeccable.style/","pageUrl":"/repo/impeccable","category":"Add-ons for AI coding tools","tagline":"Teaches AI coding assistants good design, so the websites and apps they build look less generic.","whatItDoes":["When you ask an AI assistant to build a website, the results often look the same: the same fonts, the same purple gradients, the same boxes inside boxes. Impeccable is an add-on that gives the AI a designer's rulebook so it avoids those habits.","It adds plain commands you can type to your AI, such as \"critique\", \"polish\", \"make it bolder\" or \"make it quieter\", so you can talk about design without knowing design jargon.","It also includes automatic checks that spot common design mistakes in a page, which can run without any AI at all."],"whoFor":"Anyone building websites or apps with an AI coding assistant, including non-designers who want a more polished result.","useWithoutCoding":"With some setup","keywords":["design","website","look","ui","style"],"rating":3,"tags":["Fast-rising"],"owner":{"name":"Paul Bakaus","githubUrl":"https://github.com/pbakaus"},"license":"Apache-2.0","stars":82730,"contributors":57,"monthlyDownloads":759385,"lastPushedAt":"2026-10-19T01:19:44Z","sources":[{"site":"Hacker News","title":"Impeccable Style","url":"https://news.ycombinator.com/item?id=46587284","date":"2026-01-12"}],"checkedByPerson":true,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Install Impeccable into your project with its installer, or download the ZIP for your AI tool from the project's website.","Reload your AI coding tool so it picks up the new design skill.","Run the Impeccable setup command inside your AI coding tool, then try commands like polish or critique."],"officialDownload":"https://impeccable.style/"},{"slug":"genai-agents","name":"GenAI Agents","repo":"NirDiamant/GenAI_Agents","githubUrl":"https://github.com/NirDiamant/GenAI_Agents","homepage":"https://diamant-ai.com/","pageUrl":"/repo/genai-agents","category":"Learning resources","tagline":"A large set of hands-on tutorials showing how to build AI agents, from simple chatbots to teams of agents.","whatItDoes":["This repository collects dozens of tutorials and example projects about generative AI agents, programs where an AI plans steps, uses tools and works towards a goal. Examples range from basic conversational bots to systems where several agents work together.","Each tutorial comes with code, mostly in Python using popular agent frameworks, and recent additions cover topics such as evaluating agents and having a person approve actions. The author also links related tutorial collections, videos and a newsletter, and promotes a paid course."],"whoFor":"Developers and students who learn best by working through code examples.","useWithoutCoding":"Developers only","keywords":["ai agents","tutorials","examples","learn","multi-agent"],"rating":3,"tags":[],"owner":{"name":"Nir Diamant","githubUrl":"https://github.com/NirDiamant"},"license":"NOASSERTION","stars":24626,"contributors":54,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T15:16:58Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Browse the list of tutorials, from simple chatbots to teams of agents.","Open a tutorial's notebook to read the explanation and code step by step."],"officialDownload":null},{"slug":"insforge","name":"InsForge","repo":"InsForge/InsForge","githubUrl":"https://github.com/InsForge/InsForge","homepage":"https://insforge.dev/","pageUrl":"/repo/insforge","category":"Add-ons for AI coding tools","tagline":"Gives AI coding assistants a ready-made back end, such as database, logins, file storage and hosting, to build full apps.","whatItDoes":["When an AI coding assistant builds an app, it usually also needs a \"back end\": a database, user logins, file storage and a place to host the site. InsForge bundles these pieces in one platform that the assistant can operate directly.","Coding assistants connect to it through MCP (a standard way for AI tools to use outside services) or, on the cloud version, through a command-line tool with skills. The assistant can read the back end's setup and logs, and create tables, storage, logins and functions itself.","You can use the hosted cloud version or run it yourself with Docker (a tool for packaging and running software)."],"whoFor":"Developers who build apps with AI coding assistants and want them to handle the back end too.","useWithoutCoding":"Developers only","keywords":["backend","database","app hosting","coding agent","mcp"],"rating":3,"tags":["New this week"],"owner":{"name":"InsForge","githubUrl":"https://github.com/InsForge"},"license":"Apache-2.0","stars":13144,"contributors":126,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T17:10:14Z","sources":[{"site":"Hacker News","title":"Show HN: InsForge – Open-source Heroku for coding agents","url":"https://news.ycombinator.com/item?id=48181342","date":"2026-05-18"}],"checkedByPerson":false,"cost":null,"runsOn":["Server","Cloud"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"huggingface-chat-ui","name":"Chat UI","repo":"huggingface/chat-ui","githubUrl":"https://github.com/huggingface/chat-ui","homepage":"https://huggingface.co/chat","pageUrl":"/repo/huggingface-chat-ui","category":"Chat assistants","tagline":"The open chat app behind HuggingChat, which you can run yourself and connect to AI models.","whatItDoes":["Chat UI is a ChatGPT-style chat website. It is the code that powers HuggingChat, Hugging Face's public chat app.","It talks to any service that uses the OpenAI-style API, an API being a doorway that lets programs talk to each other. That includes Hugging Face's own model service, OpenRouter, and local tools such as Ollama or llama.cpp.","It keeps chat history in a database and can automatically pick a suitable model for each message."],"whoFor":"Developers and teams who want to host their own chat website for AI models.","useWithoutCoding":"Developers only","keywords":["chat website","huggingchat","chatgpt alternative","self-hosted"],"rating":3,"tags":["New this week"],"owner":{"name":"Hugging Face","githubUrl":"https://github.com/huggingface"},"license":"Apache-2.0","stars":10990,"contributors":160,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T21:22:47Z","sources":[{"site":"Hacker News","title":"Chat-UI, the codebase of HuggingChat, is open sourced","url":"https://news.ycombinator.com/item?id=35907564","date":"2023-05-11"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Server","Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"langchaingo","name":"LangChain Go","repo":"tmc/langchaingo","githubUrl":"https://github.com/tmc/langchaingo","homepage":"https://tmc.github.io/langchaingo/","pageUrl":"/repo/langchaingo","category":"Developer building blocks","tagline":"A Go version of LangChain for building programs that use AI language models.","whatItDoes":["LangChain is a popular toolkit for building apps on top of AI language models. LangChain Go brings the same ideas to the Go programming language.","Programmers can use it to send prompts to models such as OpenAI's, Google's Gemini or local Ollama models, and combine steps into larger apps like chatbots.","The README links to examples and articles, and the project invites more community maintainers."],"whoFor":"Go programmers adding AI features to their software.","useWithoutCoding":"Developers only","keywords":["golang ai","langchain","llm library","chatbot code"],"rating":3,"tags":["New this week"],"owner":{"name":"Travis Cline","githubUrl":"https://github.com/tmc"},"license":"MIT","stars":9732,"contributors":187,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T05:37:14Z","sources":[{"site":"Hacker News","title":"langchaingo – LangChain in Idiomatic Go","url":"https://news.ycombinator.com/item?id=38475745","date":"2023-11-30"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"rerun","name":"Rerun","repo":"rerun-io/rerun","githubUrl":"https://github.com/rerun-io/rerun","homepage":"https://rerun.io/","pageUrl":"/repo/rerun","category":"Robotics & simulation","tagline":"Records, replays and shows robot and camera data side by side, in sync, for people building physical AI.","whatItDoes":["Rerun is a tool for working with the data that robots and sensors produce, such as camera images, 3D point clouds and joint positions. It gathers this data from many sources into one place.","Its viewer shows everything in sync, so you can scrub through a recording and compare sensors side by side. The same data can be searched with tables or SQL, a database query language, and sent straight into AI training.","Programmers use it from Python, Rust or C++. There is also a version of the viewer that runs in a web browser."],"whoFor":"Robotics and computer-vision engineers, and researchers training AI on real-world sensor data.","useWithoutCoding":"Developers only","keywords":["robotics","visualization","sensor data","computer vision","physical ai"],"rating":3,"tags":["New this week"],"owner":{"name":"rerun.io","githubUrl":"https://github.com/rerun-io"},"license":"Apache-2.0","stars":11609,"contributors":195,"monthlyDownloads":1385430,"lastPushedAt":"2026-10-17T10:54:51Z","sources":[{"site":"Hacker News","title":"Why Rust?","url":"https://news.ycombinator.com/item?id=33244756","date":"2022-10-18"},{"site":"Hacker News","title":"Rerun OSS beta is released","url":"https://news.ycombinator.com/item?id=34807038","date":"2023-02-15"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"opencli","name":"OpenCLI","repo":"jackwener/OpenCLI","githubUrl":"https://github.com/jackwener/OpenCLI","homepage":"https://opencli.info/","pageUrl":"/repo/opencli","category":"AI agents","tagline":"Lets AI agents use websites through your own logged-in Chrome browser, and turns sites into simple commands.","whatItDoes":["OpenCLI is a browser automation tool for AI agents. It connects to your Chrome browser through an extension, so an agent can open pages, click, fill in forms, read content and take screenshots, using the accounts you are already signed in to.","It also includes ready-made \"adapters\" for sites such as Reddit, Hacker News, X and several Chinese platforms. These turn common actions on a site into simple, repeatable commands.","You can add it as a skill to coding agents like Claude Code or Cursor, and there are tools to help you write new adapters."],"whoFor":"Developers and power users who want AI agents to do tasks on websites for them.","useWithoutCoding":"With some setup","keywords":["browser automation","web agent","chrome","command line","automate websites"],"rating":3,"tags":["Fast-rising"],"owner":{"name":"jakevin","githubUrl":"https://github.com/jackwener"},"license":"Apache-2.0","stars":30411,"contributors":257,"monthlyDownloads":87363,"lastPushedAt":"2026-10-17T12:17:48Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Server"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Download the OpenCLIApp desktop app for Mac or Windows from the project's website and open it once.","Add the OpenCLI extension to Chrome from the Chrome Web Store.","Add the OpenCLI skills to your AI agent, then describe what you want done on a website."],"officialDownload":"https://opencli.info/download"},{"slug":"agent-zero","name":"Agent Zero","repo":"agent0ai/agent-zero","githubUrl":"https://github.com/agent0ai/agent-zero","homepage":"https://agent-zero.ai/","pageUrl":"/repo/agent-zero","category":"AI agents","tagline":"An AI agent that gets its own Linux computer, with a desktop, browser and files, to carry out tasks for you.","whatItDoes":["Agent Zero is an AI agent framework that gives the AI a full Linux computer to work in, running safely inside Docker, a tool that keeps software in its own container. The agent can use real desktop apps, a terminal, files and a web browser.","You can work on documents and spreadsheets together with it, organise work into projects with their own memory and settings, and let it hand tasks to helper agents. Its prompts, tools and settings can all be inspected and changed.","A plug-in hub offers community add-ons, and a bridge lets it work on files on your own computer."],"whoFor":"Tinkerers and developers who want a flexible, general-purpose AI agent they can watch and customise.","useWithoutCoding":"With some setup","keywords":["ai agent","autonomous","linux","docker","assistant"],"rating":3,"tags":[],"owner":{"name":"Agent Zero","githubUrl":"https://github.com/agent0ai"},"license":"NOASSERTION","stars":19509,"contributors":71,"monthlyDownloads":null,"lastPushedAt":"2026-10-14T19:51:56Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Download the A0 Launcher for your computer and open it.","Let the Launcher check Docker and create an Agent Zero instance.","Open its web page, choose your AI provider, and give it a concrete task."],"officialDownload":"https://github.com/agent0ai/a0-launcher/releases"},{"slug":"oh-my-claudecode","name":"oh-my-claudecode","repo":"Yeachan-Heo/oh-my-claudecode","githubUrl":"https://github.com/Yeachan-Heo/oh-my-claudecode","homepage":"https://oh-my-claudecode.dev/","pageUrl":"/repo/oh-my-claudecode","category":"Add-ons for AI coding tools","tagline":"An add-on for Claude Code that coordinates teams of AI helpers to build software from a single request.","whatItDoes":["oh-my-claudecode (OMC) adds \"multi-agent orchestration\" to Claude Code: it splits a task among several AI helpers that work in parallel and in stages, such as planning, building and checking.","After setup you can give one instruction, such as \"build a task-tracking app\", and its \"autopilot\" mode runs the stages for you. It can also ask other AI tools, such as Codex or Gemini, for a second opinion.","There is a sister project for OpenAI's Codex."],"whoFor":"Developers who use Claude Code and want it to handle bigger tasks with less step-by-step guidance.","useWithoutCoding":"Developers only","keywords":["claude code","multi-agent","autopilot","plugin","automation"],"rating":3,"tags":["Fast-rising"],"owner":{"name":"Bellman","githubUrl":"https://github.com/Yeachan-Heo"},"license":"MIT","stars":40049,"contributors":174,"monthlyDownloads":19756,"lastPushedAt":"2026-10-19T01:06:38Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Inside Claude Code, add the project's plugin marketplace, then install oh-my-claudecode.","Run its setup step inside a Claude Code session.","Describe what you want built and let it coordinate the AI helpers."],"officialDownload":null},{"slug":"triton-inference-server","name":"Triton Inference Server","repo":"triton-inference-server/server","githubUrl":"https://github.com/triton-inference-server/server","homepage":"https://docs.nvidia.com/deeplearning/triton-inference-server/user-guide/docs/index.html","pageUrl":"/repo/triton-inference-server","category":"Running AI at scale","tagline":"NVIDIA's server software for running trained AI models quickly for many users at once.","whatItDoes":["Once an AI model is trained, it needs to be \"served\", which means kept running so apps can send it requests and get answers. Triton is open-source software from NVIDIA that does this. It can run models built with many different tools, such as PyTorch, TensorRT and ONNX.","It is designed for speed: it can run several models at once and group incoming requests together. It works in the cloud, in data centres and on smaller edge devices, on NVIDIA graphics cards as well as regular processors."],"whoFor":"Engineering teams that need to put AI models into production and serve them to many users.","useWithoutCoding":"Developers only","keywords":["model serving","inference server","nvidia","deploy ai model","gpu"],"rating":3,"tags":["New this week"],"owner":{"name":"Triton Inference Server","githubUrl":"https://github.com/triton-inference-server"},"license":"BSD-3-Clause","stars":11099,"contributors":152,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T20:37:28Z","sources":[{"site":"Hacker News","title":"CUDA 11.0","url":"https://news.ycombinator.com/item?id=23772245","date":"2020-07-08"},{"site":"Hacker News","title":"CUDA Toolkit Release Notes","url":"https://news.ycombinator.com/item?id=21618774","date":"2019-11-24"}],"checkedByPerson":false,"cost":"Free","runsOn":["Server","Cloud","Linux"],"hardware":"Made for servers or data centres","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"toon","name":"TOON (Token-Oriented Object Notation)","repo":"toon-format/toon","githubUrl":"https://github.com/toon-format/toon","homepage":"https://toonformat.dev/","pageUrl":"/repo/toon","category":"Developer building blocks","tagline":"A compact way to write data for AI prompts that uses fewer tokens than standard JSON.","whatItDoes":["When programs send data to an AI model, they often use JSON, a common data format. AI services charge by the \"token\" (small chunks of text), and JSON spends many tokens on brackets and repeated labels.","TOON writes the same data in a shorter, tidy form, listing field names once and then one row per item, a bit like a spreadsheet. Its makers say it can cut tokens a lot for lists of similar items, and that it converts back to JSON with nothing lost.","They also say plain JSON can still be more efficient for deeply nested or irregular data. The project includes a TypeScript library, a command-line tool and benchmarks."],"whoFor":"Developers who send lots of structured data to AI models and want to save on costs.","useWithoutCoding":"Developers only","keywords":["json","tokens","data format","save cost","prompts"],"rating":3,"tags":["Fast-rising"],"owner":{"name":"TOON","githubUrl":"https://github.com/toon-format"},"license":"MIT","stars":25513,"contributors":48,"monthlyDownloads":null,"lastPushedAt":"2026-10-09T07:07:33Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"bifrost","name":"Bifrost","repo":"maximhq/bifrost","githubUrl":"https://github.com/maximhq/bifrost","homepage":"https://www.getmaxim.ai/bifrost","pageUrl":"/repo/bifrost","category":"Running AI at scale","tagline":"A gateway that puts many AI providers behind one connection, with backups if one fails.","whatItDoes":["Bifrost sits between an app and AI providers such as OpenAI, Anthropic, Google and AWS. The app talks to Bifrost in one standard way, and Bifrost passes requests to whichever provider and model is chosen.","If a provider goes down, it can switch to another automatically. It can spread traffic across keys, reuse answers to similar questions to save money, set budgets and usage limits, and connect AI models to outside tools.","It comes with a web screen for setup and monitoring. Its makers say it adds very little delay, and they offer extra enterprise features for large deployments."],"whoFor":"Developers and companies running AI apps in production who need reliability and cost control across providers.","useWithoutCoding":"Developers only","keywords":["ai gateway","llm router","failover","api management","cost control"],"rating":3,"tags":["New this week"],"owner":{"name":"Maxim AI","githubUrl":"https://github.com/maximhq"},"license":"Apache-2.0","stars":8919,"contributors":200,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T23:46:59Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud"],"hardware":"Made for servers or data centres","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"self-llm","name":"Self LLM (开源大模型食用指南)","repo":"datawhalechina/self-llm","githubUrl":"https://github.com/datawhalechina/self-llm","homepage":null,"pageUrl":"/repo/self-llm","category":"Learning resources","tagline":"Step-by-step Chinese-language tutorials for setting up, running and fine-tuning open AI models on Linux.","whatItDoes":["This project is a set of tutorials, mainly in Chinese, aimed at beginners in China who want to use open AI language models. It covers many popular models, such as Qwen, LLaMA, ChatGLM, InternLM and MiniCPM.","The guides walk through setting up a Linux computer, getting a model running, making simple demo apps, and fine-tuning, which means further training a model on your own data. This includes lighter methods such as LoRA that need less computing power.","Its makers suggest learning in order: setup first, then running models, then fine-tuning. An English version of the main page is available."],"whoFor":"Students, researchers and newcomers who read Chinese and want practical experience with open AI models.","useWithoutCoding":"Developers only","keywords":["tutorial","fine-tuning","open models","chinese","qwen"],"rating":3,"tags":[],"owner":{"name":"Datawhale","githubUrl":"https://github.com/datawhalechina"},"license":"Apache-2.0","stars":32509,"contributors":94,"monthlyDownloads":null,"lastPushedAt":"2026-09-12T02:51:21Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Linux"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Start with the environment setup guide for Linux.","Then follow the tutorial for running one model, such as Qwen or InternLM.","Move on to the fine-tuning tutorials once the basics work."],"officialDownload":null},{"slug":"opensandbox","name":"OpenSandbox","repo":"opensandbox-group/OpenSandbox","githubUrl":"https://github.com/opensandbox-group/OpenSandbox","homepage":"https://open-sandbox.ai/","pageUrl":"/repo/opensandbox","category":"Running AI at scale","tagline":"Gives AI agents safe, walled-off computers to run code, use files and browse, on your own servers.","whatItDoes":["When AI agents run code or use a browser, it's safer to keep them in a sandbox, an isolated environment where mistakes can't harm the main system. OpenSandbox provides those sandboxes on your own infrastructure.","Agents can run commands, manage files, write code and operate browsers or desktops inside them. It controls network access and can let agents use outside services without exposing real passwords.","It starts locally with Docker and scales up on Kubernetes, and works with several programming languages and with MCP."],"whoFor":"Teams building AI agents that need to run code or use computers safely.","useWithoutCoding":"Developers only","keywords":["sandbox","ai safety","run code","ai agents"],"rating":3,"tags":[],"owner":{"name":"opensandbox-group","githubUrl":"https://github.com/opensandbox-group"},"license":"Apache-2.0","stars":15949,"contributors":160,"monthlyDownloads":845632,"lastPushedAt":"2026-10-18T09:57:17Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Server"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"tradingagents","name":"TradingAgents","repo":"TauricResearch/TradingAgents","githubUrl":"https://github.com/TauricResearch/TradingAgents","homepage":"https://arxiv.org/pdf/2412.20138","pageUrl":"/repo/tradingagents","category":"Finance & trading","tagline":"A research tool where a team of AI agents debates the stock market, like the staff of a trading firm.","whatItDoes":["TradingAgents copies how a trading firm works, using a team of AI agents with different jobs. Some act as analysts who study company finances, news, social media mood and price charts. Others play researchers who argue for and against a trade.","A trader agent reads all of these reports and proposes a decision. A risk-management team and a portfolio manager then review it and approve or reject it. The program saves its reports so you can follow the reasoning.","Its makers say it is designed for research, that results vary with the AI model and data used, and that it is not financial, investment or trading advice."],"whoFor":"Researchers and developers studying how teams of AI agents reason about financial markets.","useWithoutCoding":"With some setup","keywords":["stock market","trading","finance","multi-agent","research"],"rating":3,"tags":["Research-backed"],"owner":{"name":"Tauric Research","githubUrl":"https://github.com/TauricResearch"},"license":"Apache-2.0","stars":111924,"contributors":24,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T21:38:46Z","sources":[{"site":"Research paper","title":"TradingAgents: Multi-Agents LLM Financial Trading Framework","url":"https://arxiv.org/abs/2412.20138","date":"2024-12-01"},{"site":"Research paper","title":"Trading-R1 technical report","url":"https://arxiv.org/abs/2509.11420","date":"2025-09-01"},{"site":"Hacker News","title":"Multi-Agents LLM Financial Trading Framework","url":"https://news.ycombinator.com/item?id=49605822","date":"2026-09-08"}],"checkedByPerson":true,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Install Python 3.11 or newer and install TradingAgents, or run it with Docker.","Add an API key for the AI provider you want to use.","Start the command-line tool and choose a stock ticker and date to analyse."],"officialDownload":null},{"slug":"khoj","name":"Khoj","repo":"khoj-ai/khoj","githubUrl":"https://github.com/khoj-ai/khoj","homepage":"https://khoj.dev/","pageUrl":"/repo/khoj","category":"Documents & knowledge","tagline":"A personal AI assistant that answers questions from your own documents and the web.","whatItDoes":["Khoj is a personal AI app its makers call \"your AI second brain\". You can chat with many different AI models, either online ones like GPT, Claude and Gemini or models running on your own computer.","It can search and answer questions about your own files, including PDFs, Word documents, Markdown, Notion and org-mode notes, and it can also look things up online. You can create custom agents with their own knowledge and personality, and schedule automatic research that arrives as newsletters or notifications.","You can use it from a web browser, Obsidian, Emacs, a desktop app, your phone or WhatsApp. It is open source and can be run privately on your own computer or used through the makers' cloud app."],"whoFor":"People who want an AI assistant that knows their notes and documents, from students and researchers to teams.","useWithoutCoding":"Yes","keywords":["second brain","search my documents","personal assistant","notes","obsidian"],"rating":3,"tags":[],"owner":{"name":"Khoj AI","githubUrl":"https://github.com/khoj-ai"},"license":"AGPL-3.0","stars":37738,"contributors":76,"monthlyDownloads":null,"lastPushedAt":"2026-08-02T01:55:40Z","sources":[{"site":"Hacker News","title":"Show HN: Khoj – Chat offline with your second brain using Llama 2","url":"https://news.ycombinator.com/item?id=36933452","date":"2023-07-30"}],"checkedByPerson":false,"cost":null,"runsOn":["Web browser","Phone"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Try Khoj right away on its cloud app, with no setup.","Or follow the self-hosting guide to run it privately on your own computer.","Add your documents and ask questions about them."],"officialDownload":null},{"slug":"funasr","name":"FunASR","repo":"modelscope/FunASR","githubUrl":"https://github.com/modelscope/FunASR","homepage":null,"pageUrl":"/repo/funasr","category":"Speech & audio","tagline":"Turns speech into text, live or from recordings, and can tell speakers apart and add punctuation.","whatItDoes":["FunASR is a speech-recognition toolkit: it converts spoken audio into written text. It works on recordings and on live, streaming audio, and can run on servers or smaller devices.","Besides transcribing, it can find where speech starts and stops, add punctuation, tell different speakers apart, and detect emotions and sounds such as laughter or music. Different models cover Chinese, English, Japanese, Chinese dialects and, in one version, 31 languages.","It can be set up as a service that other apps call in the same way they would call OpenAI, and it connects to AI assistants through MCP."],"whoFor":"Developers building transcription, captioning or voice features, especially with Chinese-language audio.","useWithoutCoding":"Developers only","keywords":["speech to text","transcription","chinese","subtitles","voice recognition"],"rating":3,"tags":["Research-backed"],"owner":{"name":"ModelScope","githubUrl":"https://github.com/modelscope"},"license":"MIT","stars":20746,"contributors":219,"monthlyDownloads":272534,"lastPushedAt":"2026-10-18T15:49:53Z","sources":[{"site":"Research paper","title":"FunAudioLLM: Voice Understanding and Generation Foundation Models for Natural Interaction Between Humans and LLMs (SenseVoice paper)","url":"https://arxiv.org/abs/2407.04051","date":"2024-07-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"reasonix","name":"Reasonix","repo":"esengine/DeepSeek-Reasonix","githubUrl":"https://github.com/esengine/DeepSeek-Reasonix","homepage":"http://reasonix.io/","pageUrl":"/repo/reasonix","category":"Coding assistants","tagline":"An AI coding assistant that reads your project, edits files and runs tests, asking before each step if you want.","whatItDoes":["Reasonix is an open-source AI coding assistant. You describe a task in plain language, and it reads your code, changes files and runs commands and tests inside the project folder you choose.","You decide how much freedom it has: it can ask before every step, or handle everyday actions on its own within rules you set. A plan mode shows its approach first. Files it edited can be rewound to an earlier point.","The program runs on your computer, while the AI model is a service you choose and pay for directly. A DeepSeek option is built in, and other OpenAI-compatible services can be added. It's available as a desktop app, a terminal tool and in browsers and editors."],"whoFor":"Programmers who want an AI helper that can make and test changes in their code.","useWithoutCoding":"With some setup","keywords":["coding assistant","ai programmer","deepseek","edit code","terminal"],"rating":3,"tags":["Fast-rising"],"owner":{"name":"YHH","githubUrl":"https://github.com/esengine"},"license":"MIT","stars":35848,"contributors":189,"monthlyDownloads":18541,"lastPushedAt":"2026-10-19T01:41:43Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Download and install the Reasonix Studio desktop app from the project's releases page.","Open it and enter your AI model provider and key when asked.","Open your project folder, describe what you want, and approve or refuse each step."],"officialDownload":"https://github.com/esengine/DeepSeek-Reasonix/releases"},{"slug":"world-monitor","name":"World Monitor","repo":"koala73/worldmonitor","githubUrl":"https://github.com/koala73/worldmonitor","homepage":"https://worldmonitor.app/","pageUrl":"/repo/world-monitor","category":"Everyday tools","tagline":"A live world dashboard that gathers news, maps and markets, with AI-written summaries.","whatItDoes":["World Monitor is a dashboard that pulls together world news, maps and data in one screen. It covers things like conflicts, military flights, climate, cyber events, stock markets, commodities and live TV.","AI reads the news feeds and turns them into short briefs. It also shows a 3D globe and flat maps, a score of how stable different countries are, and themed versions for tech, finance, energy and more. Its makers say the AI parts can run on your own computer with Ollama, with no paid AI account needed.","You can use it as a website, a desktop app for Windows, Mac and Linux, or a dashboard inside a terminal window. Programmers and AI assistants can also pull its data through an API (a way for programs to talk to each other)."],"whoFor":"News followers, researchers and analysts who want one place to watch world events.","useWithoutCoding":"Yes","keywords":["world news","dashboard","geopolitics","map","news summary"],"rating":3,"tags":["Fast-rising"],"owner":{"name":"Elie Habib","githubUrl":"https://github.com/koala73"},"license":"AGPL-3.0","stars":88739,"contributors":166,"monthlyDownloads":319,"lastPushedAt":"2026-10-19T01:43:47Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Web browser","Windows","Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Open the World Monitor website in your browser.","Or download the desktop app for Windows, Mac or Linux.","Switch between views such as tech, finance or energy inside the app."],"officialDownload":"https://github.com/koala73/worldmonitor/releases"},{"slug":"awesome-mcp-zh","name":"Awesome-MCP-ZH","repo":"yzfly/Awesome-MCP-ZH","githubUrl":"https://github.com/yzfly/Awesome-MCP-ZH","homepage":null,"pageUrl":"/repo/awesome-mcp-zh","category":"Learning resources","tagline":"A Chinese-language guide and list of resources for MCP, the standard that connects AI to outside tools.","whatItDoes":["This is a collection of resources, written in Chinese, about MCP (Model Context Protocol). MCP is an open standard that lets AI assistants connect to outside tools, data and systems.","It explains what MCP is and what it can do, then lists MCP apps and many MCP servers sorted by topic, such as browsers, databases, search, office tools and maps.","It also links to guides for building your own MCP servers."],"whoFor":"Chinese-speaking readers who want to learn about and start using MCP.","useWithoutCoding":"Yes","keywords":["mcp","mcp servers","claude tools","chinese guide","ai plugins"],"rating":3,"tags":["New this week"],"owner":{"name":"云中江树","githubUrl":"https://github.com/yzfly"},"license":"MIT","stars":7745,"contributors":231,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T23:18:35Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the list on GitHub and read the introduction to MCP.","Browse the server list for tools that match what you need."],"officialDownload":null},{"slug":"ccstatusline","name":"ccstatusline","repo":"sirmalloc/ccstatusline","githubUrl":"https://github.com/sirmalloc/ccstatusline","homepage":null,"pageUrl":"/repo/ccstatusline","category":"Add-ons for AI coding tools","tagline":"Adds a customizable status bar to Claude Code showing the AI model, code branch, token use and more.","whatItDoes":["ccstatusline changes the status line in Claude Code, Anthropic's coding assistant that runs in a terminal (a text-based window for typing commands). The status line is the strip of information shown under your conversation.","You choose which pieces of information, called widgets, to show: for example the active AI model, the git branch (the version of the code you're working on), how many tokens (chunks of text) you've used, session cost, usage limits and Claude's service status.","Its makers describe it as highly customizable. It has themes, colours, the segmented 'powerline' look, and translations into several languages."],"whoFor":"People who use Claude Code often and want key details, like usage and cost, visible at a glance.","useWithoutCoding":"With some setup","keywords":["claude code","status bar","token usage","terminal","customize"],"rating":3,"tags":["New this week"],"owner":{"name":"sirmalloc","githubUrl":"https://github.com/sirmalloc"},"license":"MIT","stars":13328,"contributors":110,"monthlyDownloads":null,"lastPushedAt":"2026-10-13T19:23:41Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Make sure Claude Code and Node.js are installed on your computer.","Start the ccstatusline setup menu in your terminal and pick the widgets, colours and theme you like."],"officialDownload":null},{"slug":"monai","name":"MONAI","repo":"Project-MONAI/MONAI","githubUrl":"https://github.com/Project-MONAI/MONAI","homepage":"https://project-monai.github.io/","pageUrl":"/repo/monai","category":"Developer building blocks","tagline":"An open toolkit for building AI that works with medical images such as scans.","whatItDoes":["MONAI is a toolkit for deep learning in healthcare imaging, such as CT and MRI scans. It is built on PyTorch, a popular AI programming toolkit.","It offers tools for preparing medical image data, ready-made network designs, ways to measure results, and support for training on many graphics cards.","Its aim is to give academic, industry and clinical researchers a shared foundation."],"whoFor":"Medical imaging researchers and developers building AI for healthcare.","useWithoutCoding":"Developers only","keywords":["medical imaging","healthcare ai","mri","ct scans","radiology"],"rating":3,"tags":["Research-backed","New this week"],"owner":{"name":"Project MONAI","githubUrl":"https://github.com/Project-MONAI"},"license":"Apache-2.0","stars":8788,"contributors":325,"monthlyDownloads":894181,"lastPushedAt":"2026-10-19T00:12:32Z","sources":[{"site":"Research paper","title":"MONAI paper","url":"https://arxiv.org/abs/2211.02701","date":"2022-11-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Server"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"hermes-one","name":"Hermes One","repo":"fathah/hermes-desktop","githubUrl":"https://github.com/fathah/hermes-desktop","homepage":"https://hermesone.org/","pageUrl":"/repo/hermes-one","category":"AI agents","tagline":"A desktop app for installing, setting up and chatting with the Hermes AI agent without using the command line.","whatItDoes":["Hermes One is a community-made desktop app for Hermes Agent, an AI assistant that can use tools and learn over time. Instead of setting up the agent by hand in a terminal, the app walks you through installing it, choosing an AI provider and using it day to day.","It offers a chat window, saved conversations, separate profiles, memory you can view and edit, a personality editor, scheduled tasks and connections to messaging apps such as Telegram, Discord, Slack and WhatsApp. It works with many AI providers and with models running on your own computer.","The README says it's in active development, so features may change and some things might break."],"whoFor":"People who want to try the Hermes agent through a friendly app rather than the command line.","useWithoutCoding":"Yes","keywords":["ai agent","desktop app","assistant","hermes","chat"],"rating":3,"tags":[],"owner":{"name":"fathah","githubUrl":"https://github.com/fathah"},"license":"MIT","stars":14430,"contributors":98,"monthlyDownloads":null,"lastPushedAt":"2026-10-13T14:53:59Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Linux"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the desktop app for your computer from the project's website or releases page.","On first launch, choose to run Hermes on your computer or connect to a remote server.","Pick an AI provider or a local model, then start chatting."],"officialDownload":"https://github.com/fathah/hermes-desktop/releases"},{"slug":"mcp-for-unity","name":"MCP for Unity","repo":"CoplayDev/unity-mcp","githubUrl":"https://github.com/CoplayDev/unity-mcp","homepage":"https://coplaydev.github.io/unity-mcp/","pageUrl":"/repo/mcp-for-unity","category":"Add-ons for AI coding tools","tagline":"Lets AI assistants build and edit games in the Unity editor from plain-language requests.","whatItDoes":["Unity is a popular tool for making video games and 3D apps. MCP for Unity connects AI assistants, such as Claude, Cursor, VS Code or local AI models, to the Unity editor using MCP, a standard way for AI to use outside tools.","You can then ask in plain words, for example \"Create a cube at the origin and add a Rigidbody\", and the AI does it. It can manage game assets, build scenes, edit scripts, run tests and make builds."],"whoFor":"Game developers and students who use Unity and want AI help.","useWithoutCoding":"With some setup","keywords":["unity","game development","make a game","ai assistant","3d"],"rating":3,"tags":[],"owner":{"name":"Coplay","githubUrl":"https://github.com/CoplayDev"},"license":"MIT","stars":15097,"contributors":92,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T21:11:28Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["In the Unity editor's Package Manager, add the MCP for Unity package from its git address.","Open the MCP for Unity window and configure the AI apps it detects.","Ask your AI assistant to make something, such as a cube in your scene."],"officialDownload":null},{"slug":"cubesandbox","name":"Cube Sandbox","repo":"TencentCloud/CubeSandbox","githubUrl":"https://github.com/TencentCloud/CubeSandbox","homepage":"https://cubesandbox.com/","pageUrl":"/repo/cubesandbox","category":"Running AI at scale","tagline":"Gives AI agents fast, sealed-off mini computers where they can safely run code.","whatItDoes":["When an AI agent writes and runs code, it is safer to keep that code away from your real systems. Cube Sandbox creates a \"sandbox\", a small walled-off virtual computer, for each task. Its makers say each one starts in well under a second and has its own operating system core for strong separation.","It can run on one server or across many, and many sandboxes can share a machine. It also supports snapshots, so a sandbox can be saved, copied or rolled back. It is built to work with the same programming interface as E2B, another sandbox service."],"whoFor":"Engineering teams that run AI agents at scale and need a safe place for those agents to execute code.","useWithoutCoding":"Developers only","keywords":["ai agent sandbox","safe code execution","virtual machine","e2b alternative"],"rating":3,"tags":["New this week"],"owner":{"name":"Tencent Cloud","githubUrl":"https://github.com/TencentCloud"},"license":"NOASSERTION","stars":12972,"contributors":113,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T14:34:16Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Server"],"hardware":"Made for servers or data centres","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"mlpack","name":"mlpack","repo":"mlpack/mlpack","githubUrl":"https://github.com/mlpack/mlpack","homepage":"https://www.mlpack.org/","pageUrl":"/repo/mlpack","category":"Data science tools","tagline":"A fast C++ machine learning library, also usable from Python, R, Julia, Go and the command line.","whatItDoes":["mlpack is a machine learning library written in C++. Its makers describe it as a 'swiss army knife' of machine learning methods for researchers.","Because it is lightweight, it suits production systems, but it can also be used for quick experiments. Besides C++, it offers command-line programs and links for Python, Julia, Go and R."],"whoFor":"Programmers and researchers who need fast machine learning, especially in C++.","useWithoutCoding":"Developers only","keywords":["machine learning","c++","data science","library"],"rating":3,"tags":["New this week"],"owner":{"name":"mlpack","githubUrl":"https://github.com/mlpack"},"license":"NOASSERTION","stars":5714,"contributors":342,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T10:39:09Z","sources":[{"site":"Hacker News","title":"Mlpack – a scalable C++ machine learning library","url":"https://news.ycombinator.com/item?id=12034261","date":"2016-07-05"},{"site":"Hacker News","title":"A visualization of machine learning optimizers with the mlpack framework","url":"https://news.ycombinator.com/item?id=16387892","date":"2018-02-15"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"learn-pytorch-for-deep-learning","name":"Learn PyTorch for Deep Learning","repo":"mrdbourke/pytorch-deep-learning","githubUrl":"https://github.com/mrdbourke/pytorch-deep-learning","homepage":"https://learnpytorch.io/","pageUrl":"/repo/learn-pytorch-for-deep-learning","category":"Learning resources","tagline":"A complete beginner-friendly course on building AI models with PyTorch, with an online book and videos.","whatItDoes":["This repository holds the materials for a course on PyTorch, one of the most widely used tools for building AI models. All of it is available as an online book, and the first sections are free on YouTube.","It starts with the basics and works up to sorting images, using your own data, adapting existing models to new problems (\"transfer learning\"), recreating a research paper and putting a model online. Each section has exercises. The author describes the teaching style as code first: lots of coding and experimenting."],"whoFor":"People with some Python knowledge who want to learn how to build AI models.","useWithoutCoding":"Developers only","keywords":["learn pytorch","deep learning course","machine learning","tutorial","python"],"rating":3,"tags":[],"owner":{"name":"Daniel Bourke","githubUrl":"https://github.com/mrdbourke"},"license":"MIT","stars":19232,"contributors":65,"monthlyDownloads":null,"lastPushedAt":"2026-09-27T23:39:39Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the free online book and choose a section, starting with PyTorch Fundamentals.","Click the Open in Colab button to run the code in your browser.","Run the code cells one by one and try the exercises."],"officialDownload":null},{"slug":"ai-engineering-from-scratch","name":"AI Engineering from Scratch","repo":"rohitg00/ai-engineering-from-scratch","githubUrl":"https://github.com/rohitg00/ai-engineering-from-scratch","homepage":"https://aiengineeringfromscratch.com/","pageUrl":"/repo/ai-engineering-from-scratch","category":"Learning resources","tagline":"A free, hands-on curriculum that teaches AI engineering by building models, search systems and agents yourself.","whatItDoes":["This is a large, free course on building AI systems, organised into phases and learning paths, from setup and maths foundations through language models to AI agents.","Lessons can be read on the project's website, followed with a coding agent, or run as code on your own computer. It includes projects with starter code and automatic graders that check your work, using Python, TypeScript, Rust and Julia. The lessons are offered in many languages."],"whoFor":"People learning to become AI engineers, especially those comfortable with some programming.","useWithoutCoding":"Yes","keywords":["learn ai","ai engineering","course","agents","tutorial"],"rating":3,"tags":["Fast-rising"],"owner":{"name":"Rohit Ghumare","githubUrl":"https://github.com/rohitg00"},"license":"MIT","stars":71052,"contributors":28,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T22:27:25Z","sources":[{"site":"Hacker News","title":"AI Engineering from Scratch","url":"https://news.ycombinator.com/item?id=48219853","date":"2026-05-21"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Choose a learning path: model foundations, LLM systems, or agents.","Optionally, add the AI tutor to a coding agent you already use."],"officialDownload":null},{"slug":"phoenix","name":"Arize Phoenix","repo":"Arize-ai/phoenix","githubUrl":"https://github.com/Arize-ai/phoenix","homepage":"https://arize.com/docs/phoenix","pageUrl":"/repo/phoenix","category":"Running AI at scale","tagline":"A dashboard for watching, testing and debugging AI apps so teams can see what their AI is doing.","whatItDoes":["Phoenix is an open-source tool from the company Arize for keeping an eye on AI applications. It records each step an AI app takes, such as the prompts sent and answers received, so developers can find where things go wrong.","It also helps teams test their apps: build sets of example questions, score answers (often using another AI as the judge), compare prompts and models side by side, and keep track of prompt changes.","It works with many popular AI frameworks and can run on your own computer, in a container or in the cloud. Arize also sells a separate managed version."],"whoFor":"Developers and teams building AI apps who need to test, monitor and troubleshoot them.","useWithoutCoding":"Developers only","keywords":["ai monitoring","evaluation","debugging","llm testing","observability"],"rating":3,"tags":["New this week"],"owner":{"name":"Arize AI","githubUrl":"https://github.com/Arize-ai"},"license":"NOASSERTION","stars":11903,"contributors":258,"monthlyDownloads":626210,"lastPushedAt":"2026-10-18T22:36:41Z","sources":[{"site":"Hacker News","title":"Show HN: Phoenix OSS – Applying LLM Spans, Traces, and Evals for AI Insights","url":"https://news.ycombinator.com/item?id=37765954","date":"2023-10-04"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Mac","Windows","Linux","Server","Cloud"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"awesome-pytorch-list","name":"Awesome-Pytorch-list","repo":"bharathgs/Awesome-pytorch-list","githubUrl":"https://github.com/bharathgs/Awesome-pytorch-list","homepage":null,"pageUrl":"/repo/awesome-pytorch-list","category":"Learning resources","tagline":"A big list of libraries, tutorials and examples built around PyTorch, a popular AI toolkit.","whatItDoes":["PyTorch is a widely used toolkit for building AI models. This list collects related projects on GitHub, grouped by topic: language and speech, computer vision, generative models, tutorials, paper implementations and talks.","Each item has a link and a one-line description."],"whoFor":"Students and developers learning or working with PyTorch.","useWithoutCoding":"Yes","keywords":["pytorch","deep learning","tutorials","list","resources"],"rating":3,"tags":[],"owner":{"name":"bharath g s","githubUrl":"https://github.com/bharathgs"},"license":null,"stars":16711,"contributors":77,"monthlyDownloads":null,"lastPushedAt":"2026-09-22T06:52:29Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Browse the list by topic, such as language, computer vision or tutorials.","Follow the links to the libraries, books and examples that interest you."],"officialDownload":null},{"slug":"tyk","name":"Tyk Gateway","repo":"TykTechnologies/tyk","githubUrl":"https://github.com/TykTechnologies/tyk","homepage":"https://tyk.io/docs/getting-started/quick-start","pageUrl":"/repo/tyk","category":"Running AI at scale","tagline":"A gateway that controls and protects traffic to APIs and AI services, including AI agent tool connections.","whatItDoes":["Tyk Gateway sits in front of a company's APIs (doorways that let programs talk to each other) and manages who can use them. It handles logins, limits how often each user can call them, and gathers usage statistics.","It also works as an AI gateway. It can stand in front of MCP servers (connectors that give AI agents tools) and apply sign-in, rate limits and per-tool permissions to every request an agent makes.","The gateway itself is open source. Tyk also sells a hosted cloud version and enterprise tools, such as a dashboard and developer portal, which need a paid licence."],"whoFor":"IT and platform teams who run APIs or AI agent connections for many users.","useWithoutCoding":"Developers only","keywords":["api gateway","mcp gateway","rate limiting","api security","ai gateway"],"rating":3,"tags":["New this week"],"owner":{"name":"Tyk Technologies","githubUrl":"https://github.com/TykTechnologies"},"license":"NOASSERTION","stars":10863,"contributors":138,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T14:37:02Z","sources":[{"site":"Hacker News","title":"REST was never about CRUD","url":"https://news.ycombinator.com/item?id=17563851","date":"2018-07-19"},{"site":"Hacker News","title":"Tyk: Micro-grants for side projects","url":"https://news.ycombinator.com/item?id=22629972","date":"2020-03-19"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Linux","Server","Cloud"],"hardware":"Made for servers or data centres","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Docker and Docker Compose on a server.","Follow the open source quick start to create a settings file and start the gateway.","Or sign up for a free trial of the hosted Tyk Cloud instead."],"officialDownload":null},{"slug":"mcp-for-beginners","name":"MCP for Beginners","repo":"microsoft/mcp-for-beginners","githubUrl":"https://github.com/microsoft/mcp-for-beginners","homepage":null,"pageUrl":"/repo/mcp-for-beginners","category":"Learning resources","tagline":"A free Microsoft course teaching the Model Context Protocol, the common way AI apps connect to tools.","whatItDoes":["The Model Context Protocol, or MCP, is a standard way for AI applications to connect to outside tools and services. The course compares it to a USB port: one standard plug that lets AI models work with many different tools.","This curriculum starts with basic ideas and builds up to making your own MCP servers and connecting them to popular AI platforms. It includes hands-on code examples in C#, Java, JavaScript, Rust, Python and TypeScript, and covers security.","The lessons are translated into many languages."],"whoFor":"Developers who want to learn how to connect AI assistants to tools and data using MCP.","useWithoutCoding":"Developers only","keywords":["learn mcp","model context protocol","free course","ai tools","beginners"],"rating":3,"tags":[],"owner":{"name":"Microsoft","githubUrl":"https://github.com/microsoft"},"license":"MIT","stars":17471,"contributors":72,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T16:24:24Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Open the course on GitHub and start with the first lesson.","Pick the programming language you want to follow the hands-on examples in."],"officialDownload":null},{"slug":"awesome-claude-code-subagents","name":"Awesome Claude Code Subagents","repo":"VoltAgent/awesome-claude-code-subagents","githubUrl":"https://github.com/VoltAgent/awesome-claude-code-subagents","homepage":"https://getdesign.md/","pageUrl":"/repo/awesome-claude-code-subagents","category":"Add-ons for AI coding tools","tagline":"A collection of specialist AI helpers for Claude Code, each focused on one kind of development task.","whatItDoes":["Subagents are specialized assistants that Claude Code can hand work to, such as a front-end developer, an API designer or a security reviewer. This repository collects more than a hundred of them, grouped into categories.","You can install whole categories as Claude Code plugins, copy individual files, or use an installer script to pick the ones you want."],"whoFor":"Developers who use Claude Code and want ready-made specialists for different tasks.","useWithoutCoding":"Developers only","keywords":["claude code","subagents","specialists","coding helpers"],"rating":2.5,"tags":[],"owner":{"name":"VoltAgent","githubUrl":"https://github.com/VoltAgent"},"license":"MIT","stars":25841,"contributors":42,"monthlyDownloads":null,"lastPushedAt":"2026-10-11T08:20:37Z","sources":[{"site":"Hacker News","title":"awesome-claude-code-subagents: Production-ready Claude subagents collection","url":"https://news.ycombinator.com/item?id=44803801","date":"2025-08-05"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Install Claude Code, Anthropic's AI coding assistant.","Add this collection as a plugin marketplace in Claude Code and install the category you want.","Or copy single agent files into Claude Code's agents folder."],"officialDownload":null},{"slug":"onlook","name":"Onlook","repo":"onlook-dev/onlook","githubUrl":"https://github.com/onlook-dev/onlook","homepage":"https://onlook.com/","pageUrl":"/repo/onlook","category":"App builders & workflows","tagline":"A visual editor for designing and building websites with AI, where your edits change real code.","whatItDoes":["Onlook lets you create and design websites with AI and a visual editor, similar to design tools like Figma. You can start from a text description, an image or a template, then click on parts of the page to change them.","Behind the scenes it works on real website code (Next.js and Tailwind), so designs aren't just pictures. You can chat with the AI to make changes, jump from any element to its code, save checkpoints, and publish with a shareable link.","Its makers describe it as an open-source alternative to tools like Bolt.new, Lovable, V0 and Webflow. This repository holds the open-source editor, and a hosted version is offered separately."],"whoFor":"Designers and builders who want to create websites visually with AI while keeping real, editable code.","useWithoutCoding":"With some setup","keywords":["website builder","design tool","figma alternative","no-code website","visual editor"],"rating":2.5,"tags":[],"owner":{"name":"Onlook","githubUrl":"https://github.com/onlook-dev"},"license":"Apache-2.0","stars":26949,"contributors":108,"monthlyDownloads":null,"lastPushedAt":"2026-08-25T01:06:22Z","sources":[{"site":"Hacker News","title":"Show HN: Onlook – Open-source, visual-first Cursor for designers","url":"https://news.ycombinator.com/item?id=44127653","date":"2025-05-29"},{"site":"Hacker News","title":"Show HN: Open-sourced Webflow for your own app","url":"https://news.ycombinator.com/item?id=40904862","date":"2024-07-08"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Web browser"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Use the hosted app on the Onlook website, or follow its docs to run it yourself.","Import a Next.js and Tailwind project, or start a new one from text or an image.","Use the AI chat and the visual editor to change your site."],"officialDownload":null},{"slug":"gensim","name":"Gensim","repo":"piskvorky/gensim","githubUrl":"https://github.com/piskvorky/gensim","homepage":"https://radimrehurek.com/gensim","pageUrl":"/repo/gensim","category":"Developer building blocks","tagline":"A Python library for finding topics and similar documents in large collections of text.","whatItDoes":["Gensim finds the main themes in a large set of documents (\"topic modelling\") and finds texts with similar meaning. It also includes word2vec, a well-known method for representing word meanings as numbers.","It is designed to handle collections bigger than a computer's memory. The README says it is in stable maintenance mode: bug fixes are welcome but no new features are added."],"whoFor":"Researchers and developers working with large amounts of text.","useWithoutCoding":"Developers only","keywords":["topic modelling","text analysis","word2vec","document similarity","nlp"],"rating":2.5,"tags":[],"owner":{"name":"Radim Řehůřek","githubUrl":"https://github.com/piskvorky"},"license":"LGPL-2.1","stars":16504,"contributors":463,"monthlyDownloads":2893445,"lastPushedAt":"2025-11-01T12:01:39Z","sources":[{"site":"Hacker News","title":"Practical Data Science in Python","url":"https://news.ycombinator.com/item?id=9004689","date":"2015-02-05"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"llmware","name":"llmware","repo":"llmware-ai/llmware","githubUrl":"https://github.com/llmware-ai/llmware","homepage":"https://llmware-ai.github.io/llmware/","pageUrl":"/repo/llmware","category":"Developer building blocks","tagline":"A toolkit for building private AI apps that answer questions from your documents using small models on your own computer.","whatItDoes":["llmware is a Python framework for building AI applications based on your own knowledge and documents. It is designed to run on an ordinary laptop or company server rather than in the cloud, and it focuses on small, specialised models instead of giant general ones.","It has two main parts. A model catalog offers hundreds of models packaged to run efficiently on local hardware, including the project's own small models tuned for business tasks. A RAG pipeline (retrieval-augmented generation, where the AI looks up relevant documents before answering) handles reading documents, splitting and indexing them, searching them and answering with sources."],"whoFor":"Developers building private, local AI tools for businesses.","useWithoutCoding":"Developers only","keywords":["rag","local ai","private ai","document questions","small models"],"rating":2.5,"tags":[],"owner":{"name":"llmware.ai","githubUrl":"https://github.com/llmware-ai"},"license":"Apache-2.0","stars":14815,"contributors":89,"monthlyDownloads":null,"lastPushedAt":"2026-10-01T16:09:57Z","sources":[{"site":"Hacker News","title":"Show HN: LLMWare – Small Specialized Function Calling 1B LLMs for Multi-Step RAG","url":"https://news.ycombinator.com/item?id=39335263","date":"2024-02-11"}],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"github1s","name":"GitHub1s","repo":"conwnet/github1s","githubUrl":"https://github.com/conwnet/github1s","homepage":"https://github1s.com/","pageUrl":"/repo/github1s","category":"Coding assistants","tagline":"Read any GitHub project's code in a browser-based code editor, with an AI chat to explain it.","whatItDoes":["Add \"1s\" after \"github\" in a project's web address and GitHub1s opens it in a familiar VS Code-style editor in your browser. You can browse files, search code and look at changes without downloading anything.","A built-in AI chat can give an overview of the project or explain a file. You connect it to an AI model of your choice, and your messages and code go to that model."],"whoFor":"Anyone who wants to read or understand code on GitHub, from students to experienced developers.","useWithoutCoding":"Yes","keywords":["read code","github","code browser","explain code","vs code"],"rating":2.5,"tags":[],"owner":{"name":"netcon","githubUrl":"https://github.com/conwnet"},"license":"MIT","stars":23304,"contributors":48,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T08:10:30Z","sources":[{"site":"Hacker News","title":"Github1s – One second to read GitHub code with VS Code","url":"https://news.ycombinator.com/item?id=26083919","date":"2021-02-09"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Open any GitHub project page and add 1s right after the word github in the web address.","Browse files and search code in the editor that opens, no sign-in needed for public projects.","To use the AI chat, connect a model of your choice in its side panel."],"officialDownload":null},{"slug":"graphiti","name":"Graphiti","repo":"getzep/graphiti","githubUrl":"https://github.com/getzep/graphiti","homepage":"https://help.getzep.com/graphiti","pageUrl":"/repo/graphiti","category":"AI memory","tagline":"Builds a memory for AI agents that tracks facts, how they connect and how they change over time.","whatItDoes":["Graphiti helps AI agents remember things. It builds a \"knowledge graph\", a map of people, products and ideas and how they're related, from conversations and other data.","What sets it apart is time: each fact records when it became true and when it stopped being true. For example, it can store that someone liked a brand as of a certain month, and still know what was true before. Every fact links back to the original data it came from.","Agents can then search this memory by meaning, keywords and relationships. It updates as new information arrives, without rebuilding everything."],"whoFor":"Developers building AI assistants or agents that need a lasting, up-to-date memory of users and data.","useWithoutCoding":"Developers only","keywords":["ai memory","knowledge graph","agents","remember","rag"],"rating":2.5,"tags":["Research-backed"],"owner":{"name":"Zep","githubUrl":"https://github.com/getzep"},"license":"Apache-2.0","stars":31989,"contributors":64,"monthlyDownloads":619128,"lastPushedAt":"2026-10-19T00:11:23Z","sources":[{"site":"Research paper","title":"Zep: A Temporal Knowledge Graph Architecture","url":"https://arxiv.org/abs/2501.13956","date":"2025-01-01"},{"site":"Hacker News","title":"Show HN: Graphiti – LLM-Powered Temporal Knowledge Graphs","url":"https://news.ycombinator.com/item?id=41445445","date":"2024-09-04"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"jcode","name":"jcode","repo":"1jehuang/jcode","githubUrl":"https://github.com/1jehuang/jcode","homepage":"https://jcode.sh/","pageUrl":"/repo/jcode","category":"Coding assistants","tagline":"A lightweight terminal coding agent built to run many AI helpers in parallel on one machine.","whatItDoes":["jcode is an AI coding agent for the terminal. Its makers say it uses far less memory and starts faster than similar tools, so you can run dozens of agents at once.","When several agents work in the same project, jcode lets them message each other and warns one agent when another changes a file it was using. Agents can also start their own teams of helpers.","It includes a code-search tool designed to save the AI from re-reading the same code, and a mode where the agent can modify and rebuild its own software."],"whoFor":"Programmers who run several coding agents at once and care about speed.","useWithoutCoding":"Developers only","keywords":["coding agent","terminal","parallel agents","fast"],"rating":2.5,"tags":["Fast-rising"],"owner":{"name":"Jeremy Huang","githubUrl":"https://github.com/1jehuang"},"license":"MIT","stars":21011,"contributors":55,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T22:59:03Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Linux","Windows"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install jcode with the installer script for Mac or Linux, or follow the Windows instructions on its website.","Connect an AI provider, for example by signing in with a Claude or OpenAI account.","Start jcode in your project and describe what you want it to do."],"officialDownload":null},{"slug":"ollama-python","name":"Ollama Python Library","repo":"ollama/ollama-python","githubUrl":"https://github.com/ollama/ollama-python","homepage":"https://ollama.com/","pageUrl":"/repo/ollama-python","category":"Developer building blocks","tagline":"Lets Python programs talk to AI models running on your own computer through Ollama.","whatItDoes":["This is the official Python library for Ollama, an app that runs AI chat models on your own computer. It lets programmers send messages to a model and get replies from inside their own Python code.","It supports streaming, where the answer appears word by word. It can also use larger models hosted on Ollama's cloud, which requires signing in or an API key."],"whoFor":"Python developers who want to add local AI models to their programs.","useWithoutCoding":"Developers only","keywords":["ollama","python","local ai","chat api","offline ai"],"rating":2.5,"tags":["Widely used","New this week"],"owner":{"name":"Ollama","githubUrl":"https://github.com/ollama"},"license":"MIT","stars":10609,"contributors":44,"monthlyDownloads":13275724,"lastPushedAt":"2026-10-16T19:45:46Z","sources":[{"site":"Hacker News","title":"Ollama is now powered by MLX on Apple Silicon in preview","url":"https://news.ycombinator.com/item?id=47582482","date":"2026-03-31"},{"site":"Hacker News","title":"Ollama now supports AMD graphics cards","url":"https://news.ycombinator.com/item?id=39718558","date":"2024-03-15"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"adk-recipes","name":"ADK Recipes","repo":"google/adk-recipes","githubUrl":"https://github.com/google/adk-recipes","homepage":"https://adk.dev/","pageUrl":"/repo/adk-recipes","category":"AI agents","tagline":"Small, working example agents built with Google's Agent Development Kit, ready to copy and adapt.","whatItDoes":["ADK Recipes is a public collection of small, runnable AI agents built with Google's Agent Development Kit (ADK), a toolkit for building AI agents. Each recipe shows how to solve one real problem, such as sign-in flows, memory, safety rules or searching documents.","There are core teaching examples, community-contributed agents for specific industries like retail, and plugins that work as skills for AI coding assistants. The README says they are starting points for learning, not ready for production use, and are not an officially supported Google product."],"whoFor":"Developers learning to build AI agents with Google's tools.","useWithoutCoding":"Developers only","keywords":["ai agent examples","google adk","agent templates","gemini agents"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Google","githubUrl":"https://github.com/google"},"license":"Apache-2.0","stars":10461,"contributors":139,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T17:35:30Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"stable-baselines3","name":"Stable Baselines3","repo":"DLR-RM/stable-baselines3","githubUrl":"https://github.com/DLR-RM/stable-baselines3","homepage":"https://stable-baselines3.readthedocs.io/","pageUrl":"/repo/stable-baselines3","category":"Training & fine-tuning","tagline":"Tested, ready-made code for teaching AI programs to learn by trial and error.","whatItDoes":["Stable Baselines3 is a code library for reinforcement learning, a way of training an AI by rewarding it when it does well. It is used for things like game-playing AI and robot control.","It gathers well-known training methods in one place, built on PyTorch (a popular AI toolkit). Its makers say each method has been tested, and they note it assumes some prior knowledge of reinforcement learning."],"whoFor":"Researchers, students and engineers working on reinforcement learning or robotics.","useWithoutCoding":"Developers only","keywords":["reinforcement learning","train ai","robotics","game ai"],"rating":2.5,"tags":["New this week"],"owner":{"name":"DLR-RM","githubUrl":"https://github.com/DLR-RM"},"license":"MIT","stars":13904,"contributors":174,"monthlyDownloads":706843,"lastPushedAt":"2026-10-13T15:40:31Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"the-incredible-pytorch","name":"The Incredible PyTorch","repo":"ritchieng/the-incredible-pytorch","githubUrl":"https://github.com/ritchieng/the-incredible-pytorch","homepage":null,"pageUrl":"/repo/the-incredible-pytorch","category":"Learning resources","tagline":"A big curated list of tutorials, projects and papers about PyTorch, a popular AI toolkit.","whatItDoes":["This is a curated list of links about PyTorch, a widely used toolkit for building AI models. It gathers tutorials, projects, libraries, videos, papers and books in one place.","The list is organised by topic, from large language models and AI agents to image recognition, speech, medical uses and time series. Anyone can suggest additions."],"whoFor":"Students and developers learning PyTorch or looking for examples in a specific area of AI.","useWithoutCoding":"Developers only","keywords":["pytorch tutorials","deep learning","learn ai","resource list"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Ritchie Ng","githubUrl":"https://github.com/ritchieng"},"license":"MIT","stars":12663,"contributors":104,"monthlyDownloads":null,"lastPushedAt":"2026-09-23T08:07:58Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the list on GitHub and pick a topic from the table of contents.","Start with the tutorials section if you are new to PyTorch."],"officialDownload":null},{"slug":"vllm-semantic-router","name":"vLLM Semantic Router","repo":"vllm-project/semantic-router","githubUrl":"https://github.com/vllm-project/semantic-router","homepage":"https://vllm-sr.ai/","pageUrl":"/repo/vllm-semantic-router","category":"Running AI at scale","tagline":"Automatically picks which AI model should handle each request, based on rules you set for quality, speed and cost.","whatItDoes":["Different AI models are good at different things. The Semantic Router sits between an AI app and many models, and for each request chooses or combines models according to your policy.","You can set priorities such as quality, speed or cost, and keep requests within approved places, whether local machines, private servers or the cloud. The project also publishes its own routing models and research."],"whoFor":"Teams running AI apps or agents that use several models.","useWithoutCoding":"Developers only","keywords":["model routing","ai gateway","llm router","cost control","vllm"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"vLLM","githubUrl":"https://github.com/vllm-project"},"license":"Apache-2.0","stars":6209,"contributors":273,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:20:06Z","sources":[{"site":"Research paper","title":"When to Reason: Semantic Router for vLLM","url":"https://arxiv.org/abs/2510.08731","date":"2025-10-01"},{"site":"Research paper","title":"Category-Aware Semantic Caching for Heterogeneous LLM Workloads","url":"https://arxiv.org/abs/2510.26835","date":"2025-10-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Server"],"hardware":"Made for servers or data centres","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"plannotator","name":"Plannotator","repo":"backnotprop/plannotator","githubUrl":"https://github.com/backnotprop/plannotator","homepage":"https://plannotator.ai/","pageUrl":"/repo/plannotator","category":"Add-ons for AI coding tools","tagline":"Lets you review and mark up an AI coding agent's plans and code in your browser, then send feedback back.","whatItDoes":["When an AI coding agent such as Claude Code, Codex or Copilot proposes a plan or writes code, Plannotator opens it in your web browser. You can highlight parts, leave comments, and send your notes straight back to the agent to act on.","It also works as a code review screen for your own changes or for pull requests on GitHub and GitLab, and you can ask an AI questions about what you're reviewing.","Its makers say plans and reviews stay on your computer by default, with no tracking. Sharing a plan with a teammate is optional."],"whoFor":"Programmers who use AI coding agents and want a clearer way to check and steer their work.","useWithoutCoding":"Developers only","keywords":["code review","ai agent plans","claude code","feedback","annotate"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Michael Ramos","githubUrl":"https://github.com/backnotprop"},"license":"Apache-2.0","stars":9500,"contributors":153,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:37:58Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Run the project's installer, which finds the AI coding tools on your computer and connects to them.","Next time your agent makes a plan, it opens in your browser so you can comment and send feedback."],"officialDownload":null},{"slug":"mcp-inspector","name":"MCP Inspector","repo":"modelcontextprotocol/inspector","githubUrl":"https://github.com/modelcontextprotocol/inspector","homepage":"https://modelcontextprotocol.io/docs/2026-07-28/tools/inspector","pageUrl":"/repo/mcp-inspector","category":"Add-ons for AI coding tools","tagline":"A developer tool for testing and inspecting MCP servers.","whatItDoes":["MCP Inspector is a tool for developers who build MCP servers, the small programs that give AI assistants extra abilities.","It lets you connect to a server and check what it offers, through a web page, a command line, or a terminal interface.","It is meant for testing and debugging during development, and it stores any secrets it handles in your computer's secure keychain when one is available."],"whoFor":"Developers building or debugging MCP servers for AI assistants.","useWithoutCoding":"With some setup","keywords":["mcp","testing","debug","developer tool","inspector"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Model Context Protocol","githubUrl":"https://github.com/modelcontextprotocol"},"license":"NOASSERTION","stars":11096,"contributors":140,"monthlyDownloads":1594258,"lastPushedAt":"2026-10-14T04:26:29Z","sources":[{"site":"Hacker News","title":"Zero-Touch OAuth for MCP","url":"https://news.ycombinator.com/item?id=48592163","date":"2026-06-18"},{"site":"Hacker News","title":"New MCP Roadmap","url":"https://news.ycombinator.com/item?id=49399591","date":"2026-08-22"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"openclaude","name":"OpenClaude","repo":"Twigpine/openclaude","githubUrl":"https://github.com/Twigpine/openclaude","homepage":"https://openclaude.twigpine.com/","pageUrl":"/repo/openclaude","category":"Coding assistants","tagline":"An AI coding assistant for the terminal that works with many cloud and local AI models.","whatItDoes":["OpenClaude is a coding assistant you run in a terminal window. It can read and edit files, run commands and use add-on tools to help with programming tasks.","Instead of being tied to one AI company, it works with OpenAI-style services, Gemini, GitHub Models, Ollama and others. A built-in setup command walks you through choosing a provider."],"whoFor":"Programmers who want a terminal coding assistant and freedom to pick their AI model.","useWithoutCoding":"Developers only","keywords":["coding assistant","terminal","ollama","ai coding"],"rating":2.5,"tags":["Fast-rising"],"owner":{"name":"Twigpine","githubUrl":"https://github.com/Twigpine"},"license":"NOASSERTION","stars":33998,"contributors":163,"monthlyDownloads":1322,"lastPushedAt":"2026-10-18T10:21:57Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Start OpenClaude in your terminal.","Use its provider setup to choose a cloud or local AI model."],"officialDownload":null},{"slug":"awesome-generative-ai-guide","name":"Awesome Generative AI Guide","repo":"aishwaryanr/awesome-generative-ai-guide","githubUrl":"https://github.com/aishwaryanr/awesome-generative-ai-guide","homepage":"https://www.linkedin.com/in/areganti/","pageUrl":"/repo/awesome-generative-ai-guide","category":"Learning resources","tagline":"A one-stop hub of free courses, reading lists and interview prep for learning generative AI.","whatItDoes":["This repository gathers learning material about generative AI, the technology behind tools like ChatGPT. It's organised around what you want to do: use AI at work, build AI systems, understand the research or prepare for a job interview.","Each path runs from beginner to advanced, with sorted links to courses, notebooks and research. It also includes several free courses made by the author's team, a list of favourite AI tools and role-based interview guides with sample questions."],"whoFor":"Learners at any level, from curious beginners to engineers and product managers preparing for AI roles.","useWithoutCoding":"Yes","keywords":["learn ai","courses","generative ai","interview prep","reading list"],"rating":2.5,"tags":[],"owner":{"name":"aishwaryanr","githubUrl":"https://github.com/aishwaryanr"},"license":"MIT","stars":29873,"contributors":32,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T17:47:09Z","sources":[{"site":"Hacker News","title":"I had to take down my course-swapping site or be expelled","url":"https://news.ycombinator.com/item?id=42638626","date":"2025-01-08"},{"site":"Hacker News","title":"It's later than you think","url":"https://news.ycombinator.com/item?id=20928570","date":"2019-09-10"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the guide on GitHub and pick the journey that fits you, such as Use AI or Build AI.","Follow its levels from 101 to 301 at your own pace."],"officialDownload":null},{"slug":"system-prompts-leaks","name":"System Prompts Leaks","repo":"asgeirtj/system_prompts_leaks","githubUrl":"https://github.com/asgeirtj/system_prompts_leaks","homepage":null,"pageUrl":"/repo/system-prompts-leaks","category":"Learning resources","tagline":"Read the hidden instructions that popular AI chatbots and coding tools are given before you start chatting.","whatItDoes":["Every AI chatbot receives a \"system prompt\": a long set of instructions from its maker that shapes how it behaves, what tools it can use and how it should answer. Users normally don't see it.","This collection gathers the text of system prompts reported for many well-known AI products, including ChatGPT, Claude, Gemini, Grok, Cursor and others, organised by company and product. It's regularly updated as new versions appear, and contributors can submit their own findings.","The README notes that news organisations and researchers have used the collection to explain how AI assistants are set up."],"whoFor":"Curious readers, journalists, researchers and people writing their own AI prompts who want to see how major AI tools are instructed.","useWithoutCoding":"Yes","keywords":["system prompt","chatgpt instructions","prompt engineering","how ai works","claude"],"rating":2.5,"tags":[],"owner":{"name":"Ásgeir Thor Johnson","githubUrl":"https://github.com/asgeirtj"},"license":"CC0-1.0","stars":69867,"contributors":26,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T08:29:42Z","sources":[{"site":"Hacker News","title":"Claude's system prompt is over 24k tokens with tools","url":"https://news.ycombinator.com/item?id=43909409","date":"2025-05-06"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Browse the folders, which are grouped by company such as Anthropic, OpenAI and xAI.","Open a file to read the hidden instructions behind that chatbot."],"officialDownload":null},{"slug":"whisperx","name":"WhisperX","repo":"m-bain/whisperX","githubUrl":"https://github.com/m-bain/whisperX","homepage":null,"pageUrl":"/repo/whisperx","category":"Speech & audio","tagline":"Fast speech-to-text that gives a time for every word and labels who is speaking.","whatItDoes":["WhisperX builds on Whisper, OpenAI's speech-recognition model, to make transcripts faster and more precise. Its makers say it can transcribe many times faster than real time on a capable graphics card.","Plain Whisper gives times for whole sentences, which can be off by several seconds. WhisperX lines up the text with the audio so each word gets its own timestamp, which helps for subtitles and editing.","It can also tell different speakers apart and label them, a step called speaker diarization. It filters out silent parts first, which its makers say reduces made-up text."],"whoFor":"Journalists, researchers, podcasters and developers who need detailed transcripts or subtitles.","useWithoutCoding":"With some setup","keywords":["transcribe","subtitles","speaker labels","timestamps","speech to text"],"rating":2.5,"tags":["Research-backed"],"owner":{"name":"Max Bain","githubUrl":"https://github.com/m-bain"},"license":"BSD-2-Clause","stars":24656,"contributors":119,"monthlyDownloads":342919,"lastPushedAt":"2026-10-18T16:53:35Z","sources":[{"site":"Research paper","title":"WhisperX paper","url":"https://arxiv.org/abs/2303.00747","date":"2023-03-01"},{"site":"Research paper","title":"WhisperX context-aware batching preprint","url":"https://arxiv.org/abs/2608.31170","date":"2026-08-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install WhisperX with Python's package installer.","Run it on an audio file to get a transcript with a time for every word."],"officialDownload":null},{"slug":"nextai-translator","name":"NextAI Translator","repo":"nextai-translator/nextai-translator","githubUrl":"https://github.com/nextai-translator/nextai-translator","homepage":null,"pageUrl":"/repo/nextai-translator","category":"Everyday tools","tagline":"Translate, polish or summarise any selected text using AI, in your browser or a desktop app.","whatItDoes":["NextAI Translator uses AI language models to translate text. Select words on a web page or in another app, and it translates them. It works across 55 languages.","Besides translation, it can polish your writing and summarise text. It can read text aloud, translate text from a screenshot, and keep vocabulary lists with memory aids for learning words.","It's available as a browser extension and as a desktop app for Windows, Mac and Linux. You need an account with an AI provider such as OpenAI, Azure OpenAI or MiniMax."],"whoFor":"Language learners, readers of foreign-language content and anyone who writes in more than one language.","useWithoutCoding":"Yes","keywords":["translate","translator","summarize","grammar","language learning"],"rating":2.5,"tags":[],"owner":{"name":"nextai-translator","githubUrl":"https://github.com/nextai-translator"},"license":"AGPL-3.0","stars":25002,"contributors":110,"monthlyDownloads":null,"lastPushedAt":"2026-09-03T09:35:54Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Windows","Mac","Linux","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Get an API key from OpenAI or another supported AI provider.","Install the browser extension, or download the desktop app from the project's releases page.","Enter your API key in the settings, then select text to translate."],"officialDownload":"https://github.com/nextai-translator/nextai-translator/releases"},{"slug":"repomix","name":"Repomix","repo":"yamadashy/repomix","githubUrl":"https://github.com/yamadashy/repomix","homepage":"https://repomix.com/","pageUrl":"/repo/repomix","category":"Add-ons for AI coding tools","tagline":"Packs a whole code project into one file you can give to ChatGPT, Claude or another AI.","whatItDoes":["Repomix gathers all the files in a code project into a single, AI-friendly file. You can then paste or upload that file to an AI assistant and ask it to review or explain the code.","It counts tokens (the units AI models use to measure text) so you know whether the file fits, skips files you have told it to ignore, and checks for passwords or keys so they are left out. An option can shrink the output by keeping only the key parts of the code.","Besides the command-line tool, there is a website and a Chrome extension."],"whoFor":"Programmers who want to share a codebase with an AI chat assistant.","useWithoutCoding":"Yes","keywords":["share code with ai","codebase","chatgpt","claude","prompt"],"rating":2.5,"tags":[],"owner":{"name":"Kazuki Yamada","githubUrl":"https://github.com/yamadashy"},"license":"MIT","stars":28897,"contributors":84,"monthlyDownloads":411572,"lastPushedAt":"2026-10-18T12:29:58Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Visit the Repomix website, enter a repository name and press Pack.","Or add the browser extension to get a Repomix button on GitHub pages.","Send the packed file to your AI assistant with your question."],"officialDownload":"https://repomix.com/"},{"slug":"vespa","name":"Vespa","repo":"vespa-engine/vespa","githubUrl":"https://github.com/vespa-engine/vespa","homepage":"https://vespa.ai/","pageUrl":"/repo/vespa","category":"Running AI at scale","tagline":"A platform for large-scale AI search and recommendations over text, vectors and structured data.","whatItDoes":["Vespa is a search platform built for very large amounts of data. It can search text, compare items by meaning using vectors (number lists AI uses to capture meaning), and run machine-learning models on results, all in a fraction of a second.","It is used for search, recommendations and personalization, and for feeding relevant information to AI assistants. You can run it yourself or use the makers' cloud service, which offers a free trial."],"whoFor":"Engineering teams building large search, recommendation or AI retrieval systems.","useWithoutCoding":"Developers only","keywords":["search engine","vector database","recommendations","rag","semantic search"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Vespa","githubUrl":"https://github.com/vespa-engine"},"license":"Apache-2.0","stars":7131,"contributors":217,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T22:09:35Z","sources":[{"site":"Hacker News","title":"Vespa.ai is spinning out of Yahoo as a separate company","url":"https://news.ycombinator.com/item?id=37769962","date":"2023-10-04"},{"site":"Hacker News","title":"The open big data serving engine: Store, search, rank and organize big data","url":"https://news.ycombinator.com/item?id=15345601","date":"2017-09-27"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud"],"hardware":"Made for servers or data centres","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"paradedb","name":"ParadeDB","repo":"paradedb/paradedb","githubUrl":"https://github.com/paradedb/paradedb","homepage":"https://paradedb.com/","pageUrl":"/repo/paradedb","category":"Running AI at scale","tagline":"Adds fast keyword search, meaning-based search and analytics to the Postgres database.","whatItDoes":["Postgres is a widely used database. ParadeDB is an add-on that lets it do full-text search (like a search engine) and vector search (searching by meaning, often used in AI apps) without a separate search system.","It also adds hybrid search that mixes both, plus filters and fast number-crunching over large data. Everything is done with standard SQL, the usual database language.","The open-source version can be self-hosted, and the makers also offer a managed cloud service."],"whoFor":"Developers and database teams adding search to their apps, including AI-powered search.","useWithoutCoding":"Developers only","keywords":["postgres search","vector search","full-text search","hybrid search"],"rating":2.5,"tags":["New this week"],"owner":{"name":"ParadeDB","githubUrl":"https://github.com/paradedb"},"license":"AGPL-3.0","stars":9411,"contributors":147,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:24:05Z","sources":[{"site":"Hacker News","title":"Pg_lakehouse: Query Any Data Lake from Postgres","url":"https://news.ycombinator.com/item?id=40343131","date":"2024-05-13"},{"site":"Hacker News","title":"ParadeDB – PostgreSQL for Search","url":"https://news.ycombinator.com/item?id=38847571","date":"2024-01-02"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Linux","Server","Cloud"],"hardware":"Made for servers or data centres","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"tencentdb-agent-memory","name":"TencentDB Agent Memory","repo":"TencentCloud/TencentDB-Agent-Memory","githubUrl":"https://github.com/TencentCloud/TencentDB-Agent-Memory","homepage":"https://tencentcloud.github.io/TencentDB-Agent-Memory/","pageUrl":"/repo/tencentdb-agent-memory","category":"AI memory","tagline":"A shared memory for teams of AI agents, so knowledge from past work carries over to the next task.","whatItDoes":["AI assistants usually forget everything between sessions, so you end up explaining the same things again. TencentDB Agent Memory saves useful information from conversations, documents and code so later agents can reuse it.","It turns this into four kinds of memory: chat memory (preferences, facts and decisions), skills (reusable ways of doing tasks), a wiki made from documents, and a map of your code. These can be shared across different agents and team members.","It works by sitting between your AI tool and the AI model, so tools such as Claude Code and Codex can use it without plugins. It includes a web panel for managing memories."],"whoFor":"Developers and small teams who use several AI agents and want them to share what they learn.","useWithoutCoding":"With some setup","keywords":["ai memory","agent memory","team knowledge","claude code","codex"],"rating":2.5,"tags":["Fast-rising"],"owner":{"name":"Tencent Cloud","githubUrl":"https://github.com/TencentCloud"},"license":"NOASSERTION","stars":29573,"contributors":31,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T12:24:35Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Server"],"hardware":null,"privacy":null,"needsApiKey":true,"firstSteps":["Download the project and fill in its settings file with details for your AI model provider.","Start all its services with the included start script.","Open the memory panel in your browser and connect your AI agent."],"officialDownload":null},{"slug":"stagehand","name":"Stagehand","repo":"browserbase/stagehand","githubUrl":"https://github.com/browserbase/stagehand","homepage":"https://stagehand.dev/","pageUrl":"/repo/stagehand","category":"AI agents","tagline":"A toolkit for programs that use websites like a person does: clicking, filling forms and pulling out data.","whatItDoes":["Stagehand lets developers control a web browser with plain-language instructions, such as \"click the sign in button\" or \"extract every invoice in the table\". AI works out which part of the page to use.","It mixes normal browser-control code with AI steps, so developers can choose where to be exact and where to let AI figure things out. Its makers say the AI steps adapt when a site changes its layout, and that passwords can be filled in without being sent to the AI model.","It is made by Browserbase, which offers cloud browsers, but it can also run with Chrome on your own computer."],"whoFor":"Developers building web automations, data collection tools or browser-based AI agents.","useWithoutCoding":"Developers only","keywords":["browser automation","web scraping","fill forms","ai agent","extract data"],"rating":2.5,"tags":[],"owner":{"name":"browserbase","githubUrl":"https://github.com/browserbase"},"license":"MIT","stars":25728,"contributors":48,"monthlyDownloads":1271610,"lastPushedAt":"2026-10-18T20:33:58Z","sources":[{"site":"Hacker News","title":"Show HN: Stagehand – an open source browser automation framework powered by AI","url":"https://news.ycombinator.com/item?id=42635942","date":"2025-01-08"},{"site":"Hacker News","title":"We made Playwright 2x faster and 80% more token efficient","url":"https://news.ycombinator.com/item?id=49756671","date":"2026-09-18"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Cloud"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"fingpt","name":"FinGPT","repo":"AI4Finance-Foundation/FinGPT","githubUrl":"https://github.com/AI4Finance-Foundation/FinGPT","homepage":"https://fingpt.io/","pageUrl":"/repo/fingpt","category":"AI models & research","tagline":"Open research models and tools that adapt language AI to financial news, data and analysis.","whatItDoes":["FinGPT is a research project that adapts large language models to finance. Its makers argue that finance changes quickly, so they focus on light, low-cost ways to update models with fresh financial data instead of training huge models from scratch.","The project shares models for tasks such as judging whether financial news sounds positive or negative, plus a forecasting tool and a benchmark for testing models on financial tasks. Several research papers describe the work.","Models are published on Hugging Face, and there is an online demo of the forecaster. This is research software, not financial advice."],"whoFor":"Researchers and developers working on AI for finance.","useWithoutCoding":"Developers only","keywords":["finance ai","stock news","sentiment analysis","financial data","research"],"rating":2.5,"tags":["Research-backed"],"owner":{"name":"AI4Finance Foundation","githubUrl":"https://github.com/AI4Finance-Foundation"},"license":"MIT","stars":21417,"contributors":48,"monthlyDownloads":null,"lastPushedAt":"2026-09-23T01:59:08Z","sources":[{"site":"Research paper","title":"FinGPT: Open-Source Financial Large Language Models","url":"https://arxiv.org/abs/2306.06031","date":"2023-06-01"},{"site":"Research paper","title":"Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models","url":"https://arxiv.org/abs/2306.12659","date":"2023-06-01"},{"site":"Research paper","title":"FinGPT: Democratizing Internet-scale Data for Financial Large Language Models","url":"https://arxiv.org/abs/2307.10485","date":"2023-07-01"},{"site":"Research paper","title":"Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models","url":"https://arxiv.org/abs/2310.04027","date":"2023-10-01"},{"site":"Research paper","title":"FinGPT: Instruction Tuning Benchmark for Open-Source Large Language Models in Financial Datasets","url":"https://arxiv.org/abs/2310.04793","date":"2023-10-01"}],"checkedByPerson":true,"cost":"Free","runsOn":["Web browser"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Try the FinGPT-Forecaster demo on Hugging Face without installing anything.","Enter a stock ticker, a date and how many weeks of news to use."],"officialDownload":null},{"slug":"tensorflow-serving","name":"TensorFlow Serving","repo":"tensorflow/serving","githubUrl":"https://github.com/tensorflow/serving","homepage":"https://www.tensorflow.org/serving","pageUrl":"/repo/tensorflow-serving","category":"Running AI at scale","tagline":"Software for running trained AI models on servers so apps can send them requests.","whatItDoes":["Once an AI model is trained, it needs to be served, made available so other programs can ask it for answers. TensorFlow Serving does this for production systems.","It can run several models, or several versions of one model, at once, and lets teams switch to new versions without changing the apps that use them.","It groups requests together to make good use of graphics cards, and works best with TensorFlow models, though it can be extended."],"whoFor":"Engineering teams putting machine-learning models into live products.","useWithoutCoding":"Developers only","keywords":["model serving","tensorflow","deploy ai model","production ai"],"rating":2.5,"tags":["New this week"],"owner":{"name":"tensorflow","githubUrl":"https://github.com/tensorflow"},"license":"Apache-2.0","stars":6363,"contributors":249,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T22:57:05Z","sources":[{"site":"Hacker News","title":"TensorFlow: open-source library for machine intelligence","url":"https://news.ycombinator.com/item?id=10532957","date":"2015-11-09"},{"site":"Hacker News","title":"Tinker with a Neural Network in Your Browser","url":"https://news.ycombinator.com/item?id=11483934","date":"2016-04-12"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Server"],"hardware":"Made for servers or data centres","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"ml-engineering","name":"Machine Learning Engineering Open Book","repo":"stas00/ml-engineering","githubUrl":"https://github.com/stas00/ml-engineering","homepage":"https://stasosphere.com/machine-learning/","pageUrl":"/repo/ml-engineering","category":"Learning resources","tagline":"A free, practical book on the hardware and know-how needed to train and run large AI models.","whatItDoes":["This open book collects one engineer's hard-won notes on training large language models and other big AI models. Much of it comes from work on large open models such as BLOOM.","It covers choosing a cloud provider, graphics-card hardware, storage, networking, managing large computing clusters, training, running models, debugging and testing. It's full of scripts and copy-and-paste commands for solving real problems.","The book is free to read online or download as a PDF or e-book. The author also provides skill files that teach AI agents the same know-how."],"whoFor":"Engineers and operators who train or run large AI models on GPU clusters.","useWithoutCoding":"Developers only","keywords":["ai training","gpus","machine learning","book","infrastructure"],"rating":2.5,"tags":[],"owner":{"name":"Stas Bekman","githubUrl":"https://github.com/stas00"},"license":"CC-BY-SA-4.0","stars":19545,"contributors":54,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T22:18:28Z","sources":[{"site":"Hacker News","title":"ML Engineering Online Book","url":"https://news.ycombinator.com/item?id=39097502","date":"2024-01-23"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Read the book online, starting from its table of contents.","Or download the free PDF or EPUB version of the book."],"officialDownload":null},{"slug":"ppt-master","name":"PPT Master","repo":"hugohe3/ppt-master","githubUrl":"https://github.com/hugohe3/ppt-master","homepage":"https://hugohe3.github.io/ppt-master-examples/","pageUrl":"/repo/ppt-master","category":"Everyday tools","tagline":"Turns a document or topic into a real, editable PowerPoint presentation, using the AI tool you already have.","whatItDoes":["PPT Master creates PowerPoint slide decks from your material, such as a PDF, a Word file or a web page. You ask your AI assistant something like \"make a deck from this PDF\", and it plans the story, designs the slides and saves a .pptx file.","Its makers stress that the slides are native PowerPoint objects, such as real shapes, charts and tables, so you can keep editing them by hand. It can also learn a style from your own templates, fill an existing deck with new content, and add transitions, animations and narration.","It runs as a \"skill\" (a set of instructions) inside an AI tool that can act on your computer. The project is free; you pay only for the AI model you use. Its makers say results depend heavily on which AI model you pick."],"whoFor":"Office workers, consultants, teachers and anyone who makes presentations and already uses an AI assistant.","useWithoutCoding":"With some setup","keywords":["powerpoint","slides","presentation","pptx","deck"],"rating":2.5,"tags":["Fast-rising"],"owner":{"name":"HugoHe","githubUrl":"https://github.com/hugohe3"},"license":"MIT","stars":63488,"contributors":26,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T12:21:54Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install Python on your computer.","Install an AI tool that can run agents, such as an AI coding assistant.","Give it your topic or document and ask it to make a presentation."],"officialDownload":null},{"slug":"memos","name":"MemOS","repo":"MemTensor/MemOS","githubUrl":"https://github.com/MemTensor/MemOS","homepage":"https://memos.openmem.net/","pageUrl":"/repo/memos","category":"AI memory","tagline":"Gives AI assistants and agents a long-term memory they can store, search and update.","whatItDoes":["MemOS is a memory system for AI chatbots and agents. It lets them remember facts, past conversations, images and tool results over time, so later answers can take that history into account.","Memories are stored as a connected graph that people can inspect and edit, and users can correct a memory in plain language. Its makers report strong scores on several memory benchmarks.","You can use it as a hosted cloud service with an API key, run it on your own servers, or use local plugins for agent tools such as OpenClaw, Hermes Agent and DeepSeek Harness that keep memory on your own machine."],"whoFor":"Developers building AI assistants, customer-support bots or agents that need to remember users across sessions.","useWithoutCoding":"Developers only","keywords":["ai memory","long-term memory","remember conversations","agent memory"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"OpenMem","githubUrl":"https://github.com/MemTensor"},"license":"Apache-2.0","stars":11925,"contributors":104,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T12:47:04Z","sources":[{"site":"Research paper","title":"MemOS research paper","url":"https://arxiv.org/abs/2507.03724","date":"2025-07-01"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"easydict","name":"Easydict","repo":"tisfeng/Easydict","githubUrl":"https://github.com/tisfeng/Easydict","homepage":null,"pageUrl":"/repo/easydict","category":"Everyday tools","tagline":"A Mac app for looking up words and translating text, using dictionaries, translation services and AI.","whatItDoes":["Easydict is a dictionary and translation app for macOS. Select text with your mouse, type it in, or take a screenshot, and it detects the language and shows translations.","It can compare results from many services at once, including Apple's own dictionary and translator, Google, DeepL and Bing, and AI services such as OpenAI, Gemini, Claude, DeepSeek or local models through Ollama. It can also read text aloud."],"whoFor":"Mac users who read or write in more than one language.","useWithoutCoding":"Yes","keywords":["translate","dictionary","mac app","ocr","language"],"rating":2.5,"tags":[],"owner":{"name":"tisfeng","githubUrl":"https://github.com/tisfeng"},"license":"GPL-3.0","stars":14992,"contributors":75,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T17:08:34Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the latest release for macOS 13 or newer, or install it with Homebrew.","Select text or press the shortcut key to look up or translate it."],"officialDownload":"https://github.com/tisfeng/Easydict/releases"},{"slug":"awesome-llmops","name":"Awesome LLMOps","repo":"tensorchord/Awesome-LLMOps","githubUrl":"https://github.com/tensorchord/Awesome-LLMOps","homepage":null,"pageUrl":"/repo/awesome-llmops","category":"Learning resources","tagline":"A curated list of tools for building, running and managing large AI language models.","whatItDoes":["LLMOps means the work of putting AI language models into real use: serving them, monitoring them, training them and managing their data. This list collects open tools for each step.","Sections cover models, serving, security, search, coding AI, training, data, large-scale deployment, performance and AutoML (automatic model building)."],"whoFor":"Developers and engineers looking for tools to run AI models in their products.","useWithoutCoding":"Yes","keywords":["llmops","mlops","ai tools list","model serving"],"rating":2.5,"tags":["New this week"],"owner":{"name":"TensorChord","githubUrl":"https://github.com/tensorchord"},"license":"CC0-1.0","stars":5961,"contributors":259,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T06:34:42Z","sources":[{"site":"Hacker News","title":"An almost-complete list of LLMOps tools for developers","url":"https://news.ycombinator.com/item?id=37084283","date":"2023-08-11"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the list on GitHub and browse the section that matches your need.","Follow a link to learn more about any tool that interests you."],"officialDownload":null},{"slug":"deeplearning4j","name":"Eclipse Deeplearning4J","repo":"deeplearning4j/deeplearning4j","githubUrl":"https://github.com/deeplearning4j/deeplearning4j","homepage":"http://deeplearning4j.konduit.ai/","pageUrl":"/repo/deeplearning4j","category":"Developer building blocks","tagline":"A set of tools for building and running deep-learning AI in Java and other JVM languages.","whatItDoes":["Deeplearning4J (DL4J) lets programmers build and train neural networks using Java and related languages like Scala and Kotlin, which are common in large businesses.","It covers the whole process, from loading and preparing data to building and tuning networks. It can import models made with Keras, TensorFlow or ONNX, and can train across many machines with Apache Spark.","It runs on Windows, Linux and macOS and can use graphics cards to speed things up."],"whoFor":"Java developers and enterprise teams who want to add deep learning to their software.","useWithoutCoding":"Developers only","keywords":["java","deep learning","neural network","enterprise"],"rating":2.5,"tags":[],"owner":{"name":"Eclipse Deeplearning4j","githubUrl":"https://github.com/deeplearning4j"},"license":"Apache-2.0","stars":14271,"contributors":79,"monthlyDownloads":null,"lastPushedAt":"2026-10-05T04:51:37Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Linux","Mac"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"meshroom","name":"Meshroom","repo":"alicevision/Meshroom","githubUrl":"https://github.com/alicevision/Meshroom","homepage":"http://meshroom.org/","pageUrl":"/repo/meshroom","category":"3D & design","tagline":"A desktop app that turns a set of ordinary photos into a 3D model, using connected processing steps.","whatItDoes":["Meshroom is a visual toolbox where you build a workflow by linking boxes (called nodes) together, each doing one job. When you change a setting, only the steps affected are re-run, which saves time.","Its built-in AliceVision plugin can turn many regular 2D photos of an object or place into a detailed 3D model. It can also track camera movement, merge exposures into HDR images and stitch panoramas.","Extra plugins add AI features, such as picking out objects in images from a text description or estimating depth from a single picture. Work can run on your own computer or be spread across a group of computers."],"whoFor":"3D artists, visual effects teams, researchers and hobbyists interested in photogrammetry (making 3D models from photos).","useWithoutCoding":"Yes","keywords":["3d scanning","photos to 3d","photogrammetry","3d model"],"rating":2.5,"tags":["New this week"],"owner":{"name":"AliceVision","githubUrl":"https://github.com/alicevision"},"license":"NOASSERTION","stars":13021,"contributors":88,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T02:20:29Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Download the ready-made version of Meshroom from the project's releases page.","Open it and load a set of photos taken around your subject.","Run the photogrammetry template to build a 3D model, using the manual if you get stuck."],"officialDownload":"https://github.com/alicevision/meshroom/releases"},{"slug":"maxun","name":"Maxun","repo":"getmaxun/maxun","githubUrl":"https://github.com/getmaxun/maxun","homepage":"https://www.maxun.dev/","pageUrl":"/repo/maxun","category":"App builders & workflows","tagline":"Collect data from websites by recording your clicks or describing what you need, then keep watching for changes.","whatItDoes":["Maxun is a platform for gathering information from websites. You can record what you do in a browser and turn it into a reusable \"robot\", or describe in plain words what to collect and let AI do it.","It can also save whole web pages as text or screenshots, go through every page of a site, search the web, pull data out of documents, and alert you when a site changes.","You can use it through a visual dashboard, or developers can use it from code, the command line, or as a tool for AI agents. There's a hosted version, or you can run it yourself."],"whoFor":"Researchers, analysts and businesses that need to collect or monitor web data, with or without coding.","useWithoutCoding":"With some setup","keywords":["web scraping","data extraction","no-code","website monitoring","automation"],"rating":2.5,"tags":[],"owner":{"name":"Maxun","githubUrl":"https://github.com/getmaxun"},"license":"AGPL-3.0","stars":17899,"contributors":57,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T11:11:54Z","sources":[{"site":"Hacker News","title":"Maxun: Open-Source No-Code Web Data Extraction Platform","url":"https://news.ycombinator.com/item?id=42092755","date":"2024-11-09"}],"checkedByPerson":false,"cost":null,"runsOn":["Web browser","Cloud"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Start with the hosted version in your web browser, the quickest way to begin.","Record your clicks on a website, or describe in plain words what data you need.","To run it on your own computer instead, follow the Docker setup guide."],"officialDownload":null},{"slug":"teable","name":"Teable","repo":"teableio/teable","githubUrl":"https://github.com/teableio/teable","homepage":"https://teable.ai/","pageUrl":"/repo/teable","category":"App builders & workflows","tagline":"A spreadsheet-style database where AI can analyse your data, build custom apps and run automations.","whatItDoes":["Teable looks and feels like a spreadsheet, but it is a full database that a team can work in together. It offers grid, form, kanban, gallery and calendar views, with formulas, comments and record history.","AI is built in. You can ask questions about your data in plain language, have AI fill in fields in bulk, set up automations that react to changes or schedules, and describe an app you need so an AI agent builds and publishes it.","You can use the hosted version or run it on your own machines."],"whoFor":"Businesses and teams who want an Airtable-style tool with AI features, especially ones that prefer to host it themselves.","useWithoutCoding":"With some setup","keywords":["spreadsheet","airtable alternative","database","no-code","business apps"],"rating":2.5,"tags":[],"owner":{"name":"Teable","githubUrl":"https://github.com/teableio"},"license":"NOASSERTION","stars":21897,"contributors":43,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T15:44:36Z","sources":[{"site":"Hacker News","title":"Show HN: Teable – Open-Source No-Code Database Fusion of Postgres and Airtable","url":"https://news.ycombinator.com/item?id=39666865","date":"2024-03-11"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Cloud","Server"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Try Teable on its hosted cloud version on the project's website.","To run it on your own machines instead, follow the project's deployment guide."],"officialDownload":null},{"slug":"genericagent","name":"GenericAgent","repo":"lsdefine/GenericAgent","githubUrl":"https://github.com/lsdefine/GenericAgent","homepage":"https://github.com/lsdefine/GenericAgent","pageUrl":"/repo/genericagent","category":"AI agents","tagline":"A small AI agent that controls your computer and saves each solved task as a reusable skill.","whatItDoes":["GenericAgent gives an AI model control over a local computer, including using a real web browser where you're already logged in. Its core is very small, built around a handful of basic tools.","Its main idea is \"self-evolving\": every time it finishes a new task, it stores the steps as a skill it can reuse later. Over time, its makers say, you build up a personal library of skills.","Its makers also say it uses far less of the AI's short-term memory than other agents, which they say lowers cost. It works with models such as Claude, Gemini, Kimi and MiniMax."],"whoFor":"Tinkerers and developers interested in autonomous computer-control agents.","useWithoutCoding":"Developers only","keywords":["computer control","ai agent","automation","self-improving","desktop automation"],"rating":2.5,"tags":["Research-backed"],"owner":{"name":"LJQ","githubUrl":"https://github.com/lsdefine"},"license":"MIT","stars":14326,"contributors":76,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T05:26:32Z","sources":[{"site":"Research paper","title":"GenericAgent technical report","url":"https://arxiv.org/abs/2604.17091","date":"2026-04-01"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Windows","Mac","Linux"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Install Python 3.11 or 3.12, or use the one-line installer for Windows, Mac or Linux.","Copy the key template file and add your AI model's API key.","Launch the terminal or web interface and give it a task."],"officialDownload":null},{"slug":"codecompanion-nvim","name":"CodeCompanion","repo":"olimorris/codecompanion.nvim","githubUrl":"https://github.com/olimorris/codecompanion.nvim","homepage":"https://codecompanion.olimorris.dev/","pageUrl":"/repo/codecompanion-nvim","category":"Coding assistants","tagline":"Brings AI chat and coding agents into the Neovim code editor.","whatItDoes":["CodeCompanion is a plug-in for Neovim, a text editor popular with programmers. It adds an AI chat window, inline code edits and tools that help the AI understand your project.","It works with many AI providers, including Anthropic, OpenAI, Google Gemini, GitHub Copilot and local models through Ollama. It can also connect to coding agents like Claude Code and Codex, and lets you review and approve the code they write."],"whoFor":"Programmers who use Neovim and want AI help inside their editor.","useWithoutCoding":"Developers only","keywords":["neovim","vim ai","coding assistant","copilot chat","editor plugin"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Oli","githubUrl":"https://github.com/olimorris"},"license":"Apache-2.0","stars":6897,"contributors":205,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T22:08:05Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"taste-skill","name":"Taste Skill","repo":"Leonxlnx/taste-skill","githubUrl":"https://github.com/Leonxlnx/taste-skill","homepage":"https://tasteskill.dev/","pageUrl":"/repo/taste-skill","category":"Add-ons for AI coding tools","tagline":"Gives AI coding assistants design direction so the websites they build look less generic.","whatItDoes":["Taste Skill is a set of \"skills\", instruction packs that AI coding assistants such as Claude Code or Codex can load. They guide the assistant to design web pages with a clear visual direction instead of a standard template look.","The main skill picks a design direction, finds real photos from open archives (with credits) and checks the finished page in a real web browser at different screen sizes. It then looks at its own screenshots and fixes the biggest problems.","Other skills focus on one job, such as redesigning an existing site, a calm or minimalist style, or creating design images before any code is written."],"whoFor":"People who use AI coding assistants to build websites and landing pages and want better-looking results.","useWithoutCoding":"With some setup","keywords":["web design","landing page","website design","claude code","ui"],"rating":2.5,"tags":["Fast-rising"],"owner":{"name":"Leon Lin","githubUrl":"https://github.com/Leonxlnx"},"license":"MIT","stars":98883,"contributors":20,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T23:13:35Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Set up a coding assistant such as Claude Code, Codex or Cursor, plus Node 22 and Chrome, Edge or Chromium.","Install the skills with the skills tool, or as a plugin inside Claude Code or Codex."],"officialDownload":null},{"slug":"microsoft-agent-framework","name":"Microsoft Agent Framework","repo":"microsoft/agent-framework","githubUrl":"https://github.com/microsoft/agent-framework","homepage":"https://aka.ms/agent-framework","pageUrl":"/repo/microsoft-agent-framework","category":"Developer building blocks","tagline":"Microsoft's toolkit for building AI agents and multi-agent workflows in Python and .NET.","whatItDoes":["This framework helps developers build AI agents and connect several of them into workflows: one after another, side by side, or handing tasks between them. It supports many AI providers, including Azure OpenAI and OpenAI.","It's aimed at running agents in real products, with features for monitoring, saving progress, and pausing for human approval."],"whoFor":"Software teams building production AI agents.","useWithoutCoding":"Developers only","keywords":["ai agents","microsoft","workflows","python","dotnet"],"rating":2.5,"tags":[],"owner":{"name":"Microsoft","githubUrl":"https://github.com/microsoft"},"license":"MIT","stars":14196,"contributors":297,"monthlyDownloads":189927,"lastPushedAt":"2026-10-18T14:37:51Z","sources":[{"site":"Hacker News","title":"Microsoft Releases Open Source ML Library for Distributed Search Engine Creation","url":"https://news.ycombinator.com/item?id=19319284","date":"2019-03-06"},{"site":"Hacker News","title":"Test Windows Phone 7 on iOs or Android","url":"https://news.ycombinator.com/item?id=3291651","date":"2011-11-29"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"owl","name":"OWL","repo":"camel-ai/owl","githubUrl":"https://github.com/camel-ai/owl","homepage":null,"pageUrl":"/repo/owl","category":"AI agents","tagline":"A framework where several AI agents work together to complete real-world tasks like browsing and research.","whatItDoes":["OWL, short for Optimized Workforce Learning, is a research framework for multi-agent collaboration: several AI agents with different roles working together on a task. It's built on the CAMEL-AI framework.","Agents can do things like browse websites and use tools to automate tasks across different areas. Its makers report strong results on GAIA, a benchmark that tests AI assistants on real-world questions.","The project includes a research paper describing the framework and a training method for it."],"whoFor":"Researchers and developers exploring how teams of AI agents can handle complex tasks.","useWithoutCoding":"Developers only","keywords":["multi-agent","ai agents","task automation","research","web browsing"],"rating":2.5,"tags":["Research-backed"],"owner":{"name":"camel-ai.org","githubUrl":"https://github.com/camel-ai"},"license":null,"stars":20150,"contributors":47,"monthlyDownloads":null,"lastPushedAt":"2026-10-12T09:06:09Z","sources":[{"site":"Research paper","title":"OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation","url":"https://arxiv.org/abs/2505.23885","date":"2025-05-01"},{"site":"Hacker News","title":"Owl: Optimized Workforce Learning for multi-agent collaboration","url":"https://news.ycombinator.com/item?id=43331673","date":"2025-03-11"}],"checkedByPerson":false,"cost":null,"runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"tensorflow-js","name":"TensorFlow.js","repo":"tensorflow/tfjs","githubUrl":"https://github.com/tensorflow/tfjs","homepage":"https://js.tensorflow.org/","pageUrl":"/repo/tensorflow-js","category":"Developer building blocks","tagline":"Lets web developers build, train and run AI models directly in a web browser or in Node.js.","whatItDoes":["TensorFlow.js is a JavaScript library, part of Google's TensorFlow family, for machine learning in web pages and in Node.js (JavaScript running on servers). Because models can run inside the browser, data can stay on the user's device.","Developers can build new models from scratch, convert existing TensorFlow and Keras models to run on the web, or retrain models with data gathered in the browser, such as sensor input. It uses the computer's graphics hardware through WebGL or WebGPU for speed, and a collection of ready-made models is available."],"whoFor":"Web developers who want to add AI features to websites and apps.","useWithoutCoding":"Developers only","keywords":["javascript ai","browser ai","machine learning","tensorflow","web"],"rating":2.5,"tags":[],"owner":{"name":"tensorflow","githubUrl":"https://github.com/tensorflow"},"license":"Apache-2.0","stars":19149,"contributors":371,"monthlyDownloads":null,"lastPushedAt":"2026-06-23T00:04:38Z","sources":[{"site":"Hacker News","title":"BodyPix: Person Segmentation in the Browser","url":"https://news.ycombinator.com/item?id=21220458","date":"2019-10-11"},{"site":"Hacker News","title":"Handpose is a palm detector and a hand-skeleton finger tracker","url":"https://news.ycombinator.com/item?id=25620180","date":"2021-01-03"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"nexent","name":"Nexent","repo":"ModelEngine-Group/nexent","githubUrl":"https://github.com/ModelEngine-Group/nexent","homepage":"http://modelengine-group.github.io/nexent/","pageUrl":"/repo/nexent","category":"App builders & workflows","tagline":"A platform for creating AI agents by describing what you want in plain language, without coding.","whatItDoes":["Nexent lets you build AI agents by writing what you need in ordinary words; its makers say there is no drag-and-drop setup needed.","Agents can use tools, skills, memory, a knowledge base built from your documents, web search and other agents. It handles voice, text, images and files, shows sources for facts, and keeps version history.","It works with any AI provider that follows OpenAI's format and includes user accounts and permissions for teams."],"whoFor":"Teams and organisations who want to build and share AI agents without programming.","useWithoutCoding":"With some setup","keywords":["no-code ai agent","agent builder","knowledge base","ai platform"],"rating":2.5,"tags":["New this week"],"owner":{"name":"ModelEngine-Group","githubUrl":"https://github.com/ModelEngine-Group"},"license":"MIT","stars":5976,"contributors":242,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:48:35Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Server"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":null,"needsApiKey":false,"firstSteps":["Install Docker on a computer with at least 8 GB of memory.","Download the project and run its Docker deployment, following the installation guide.","Open Nexent and describe the agent you want in plain words."],"officialDownload":null},{"slug":"umap","name":"UMAP","repo":"lmcinnes/umap","githubUrl":"https://github.com/lmcinnes/umap","homepage":"https://umap-learn.readthedocs.io/","pageUrl":"/repo/umap","category":"Developer building blocks","tagline":"A technique and Python library for turning complex data into simple 2D or 3D maps you can see.","whatItDoes":["UMAP is a method for dimension reduction: it takes data with many measurements per item and squeezes it into two or three numbers, so similar items end up near each other on a chart.","It is often used to visualise data and the inner workings of machine learning models, much like the older t-SNE method. It works with the popular scikit-learn library.","The package also includes densMAP, a variant that keeps more information about how tightly packed the data is."],"whoFor":"Data scientists and researchers exploring or visualising large datasets.","useWithoutCoding":"Developers only","keywords":["data visualisation","dimension reduction","clustering","machine learning"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"Leland McInnes","githubUrl":"https://github.com/lmcinnes"},"license":"BSD-3-Clause","stars":8279,"contributors":154,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T17:39:25Z","sources":[{"site":"Research paper","title":"UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction","url":"https://arxiv.org/abs/1802.03426","date":"2018-02-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"ida-pro-mcp","name":"IDA Pro MCP","repo":"mrexodia/ida-pro-mcp","githubUrl":"https://github.com/mrexodia/ida-pro-mcp","homepage":"https://plugins.hex-rays.com/mrexodia/ida-pro-mcp","pageUrl":"/repo/ida-pro-mcp","category":"Add-ons for AI coding tools","tagline":"Connects the IDA Pro reverse-engineering program to AI assistants so they can help analyse software.","whatItDoes":["IDA Pro is a professional program for reverse engineering, which means taking apart compiled software to understand how it works. This project is an MCP server, a connector that lets AI assistants such as Claude, Cursor or Codex use IDA Pro's features.","With it, you can ask an AI assistant questions about a program you are analysing and let it look through the code inside IDA Pro for you.","The README itself recommends the official IDA MCP server from IDA's makers as an alternative. It needs a paid copy of IDA Pro; the free edition is not supported."],"whoFor":"Security researchers and software analysts who already use IDA Pro.","useWithoutCoding":"Developers only","keywords":["reverse engineering","ida pro","binary analysis","mcp","malware analysis"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Duncan Ogilvie","githubUrl":"https://github.com/mrexodia"},"license":"MIT","stars":12999,"contributors":83,"monthlyDownloads":null,"lastPushedAt":"2026-09-26T15:42:10Z","sources":[],"checkedByPerson":true,"cost":null,"runsOn":["Windows","Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Make sure you have IDA Pro (not the free edition) and a recent version of Python installed.","Install the plugin into your AI coding tool following the README's instructions for that tool.","Open a file in IDA Pro and ask your AI assistant questions about it."],"officialDownload":null},{"slug":"label-studio","name":"Label Studio","repo":"HumanSignal/label-studio","githubUrl":"https://github.com/HumanSignal/label-studio","homepage":"https://labelstud.io/","pageUrl":"/repo/label-studio","category":"Training & fine-tuning","tagline":"A tool for tagging images, text, audio and video so the data can be used to train AI models.","whatItDoes":["AI models learn from examples that people have labelled, such as photos with boxes drawn around cars or sentences marked as positive or negative. Label Studio is a web-based tool for doing this labelling.","It handles many kinds of data, including images, text, audio, video and time-series data, and comes with templates for common tasks. Finished labels can be exported in formats that AI training tools understand.","It can also connect to existing AI models so they suggest labels for a person to check, and it plugs into other data tools. It runs on your own computer or server, and the makers offer a paid cloud edition."],"whoFor":"Data scientists, researchers and teams preparing data to train or improve AI models.","useWithoutCoding":"With some setup","keywords":["data labeling","annotation","training data","tagging","dataset"],"rating":2.5,"tags":[],"owner":{"name":"HumanSignal","githubUrl":"https://github.com/HumanSignal"},"license":"Apache-2.0","stars":28488,"contributors":163,"monthlyDownloads":27780,"lastPushedAt":"2026-10-19T00:12:43Z","sources":[{"site":"Hacker News","title":"Label Studio v1.0","url":"https://news.ycombinator.com/item?id=26480245","date":"2021-03-16"},{"site":"Hacker News","title":"Improving domain-specific transcription accuracy with data labeling","url":"https://news.ycombinator.com/item?id=27142358","date":"2021-05-13"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Windows","Server","Cloud"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Label Studio with Docker or Python's package installer, or try the paid Starter Cloud edition.","Start it and open it in your web browser.","Create a project, import your data, and start labelling."],"officialDownload":null},{"slug":"agentgateway","name":"Agentgateway","repo":"agentgateway/agentgateway","githubUrl":"https://github.com/agentgateway/agentgateway","homepage":"https://agentgateway.dev/","pageUrl":"/repo/agentgateway","category":"Running AI at scale","tagline":"A traffic controller that adds security, monitoring and rules to how AI agents talk to models, tools and each other.","whatItDoes":["Agentgateway is a proxy, a go-between that sits in the middle of AI agents and the things they connect to. It handles agent-to-model, agent-to-tool and agent-to-agent traffic, using the MCP and A2A standards for AI connections.","It can route requests to major AI providers through one interface, with spending limits, load balancing and backups. It can also filter content, control who can do what, limit request rates and record detailed logs.","It can run on its own or inside Kubernetes, a common system for running software on servers, and has a built-in web interface."],"whoFor":"Platform and infrastructure teams running AI agents in production.","useWithoutCoding":"Developers only","keywords":["ai gateway","mcp","ai agents","proxy","kubernetes"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Agentgateway","githubUrl":"https://github.com/agentgateway"},"license":"Apache-2.0","stars":5395,"contributors":273,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T08:32:48Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Server","Cloud"],"hardware":"Made for servers or data centres","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"inbox-zero","name":"Inbox Zero","repo":"elie222/inbox-zero","githubUrl":"https://github.com/elie222/inbox-zero","homepage":"https://getinboxzero.com/","pageUrl":"/repo/inbox-zero","category":"Everyday tools","tagline":"An AI email assistant that sorts your inbox, drafts replies and helps you unsubscribe from clutter.","whatItDoes":["Inbox Zero works in the background on a Gmail or Outlook account. Its makers say it organises your inbox, pre-drafts replies in your own tone, and follows rules you write in plain English.","It can also bulk-unsubscribe from newsletters, archive old mail, block cold emails, save attachments to Google Drive or OneDrive, and prepare short briefings before meetings. You can chat with it from Slack or Telegram.","There is also a separate email app for the web, desktop and phones. You can use the hosted version or run it on your own server."],"whoFor":"Busy people who get a lot of email and want help keeping their inbox under control.","useWithoutCoding":"Yes","keywords":["email assistant","inbox zero","gmail ai","unsubscribe","outlook"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Elie Steinbock","githubUrl":"https://github.com/elie222"},"license":"NOASSERTION","stars":12643,"contributors":85,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:30:12Z","sources":[{"site":"Hacker News","title":"Show HN: Inbox Zero – open-source email assistant","url":"https://news.ycombinator.com/item?id=38809770","date":"2023-12-29"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Web browser","Phone","Server"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Sign up for the hosted version on the project's website and connect your Gmail or Outlook account.","Or run your own copy with Docker by following the project's self-hosting guide."],"officialDownload":null},{"slug":"pyvideotrans","name":"pyVideoTrans","repo":"jianchang512/pyvideotrans","githubUrl":"https://github.com/jianchang512/pyvideotrans","homepage":"https://pyvideotrans.com/","pageUrl":"/repo/pyvideotrans","category":"Speech & audio","tagline":"Translates videos into another language automatically, with new subtitles and AI-dubbed voices.","whatItDoes":["pyVideoTrans takes a video in one language and produces a version in another. It listens to the speech and writes it down, translates the subtitles, creates a new voice track with AI, and puts it all back together with the video.","It can also just make subtitles from audio or video, tell different speakers apart, give each speaker a different AI voice, and clone voices. You can pause at each stage to check and fix the transcript, translation or dubbing.","It works with many speech, translation and voice services, including free and offline options."],"whoFor":"Video creators, translators and educators who want to bring videos to audiences in other languages.","useWithoutCoding":"Yes","keywords":["video translation","subtitles","dubbing","transcribe","translate video"],"rating":2.5,"tags":[],"owner":{"name":"okmyworld","githubUrl":"https://github.com/jianchang512"},"license":"GPL-3.0","stars":19442,"contributors":47,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T09:42:07Z","sources":[{"site":"Hacker News","title":"Open-source tool translates and dubs videos into other languages using AI","url":"https://news.ycombinator.com/item?id=41234713","date":"2024-08-13"}],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["On Windows, download the ready-made package from the releases page.","Unzip it to a folder whose path has no spaces or Chinese characters.","Double-click the sp program in that folder to start it."],"officialDownload":"https://github.com/jianchang512/pyvideotrans/releases"},{"slug":"scrapegraphai","name":"ScrapeGraphAI","repo":"ScrapeGraphAI/Scrapegraph-ai","githubUrl":"https://github.com/ScrapeGraphAI/Scrapegraph-ai","homepage":"https://scrapegraphai.com/","pageUrl":"/repo/scrapegraphai","category":"Developer building blocks","tagline":"Pull the information you want from websites and documents just by describing it in plain words.","whatItDoes":["ScrapeGraphAI is a Python library for web scraping, which means collecting information from websites automatically. Instead of writing detailed rules for each page, you tell it what you want, such as \"find the company description and social media links\", and an AI model extracts it.","It also works on local files like HTML, JSON and Markdown. It can use AI models running on your own computer through Ollama, or online providers.","It connects with other AI developer tools and with low-code automation platforms such as Zapier and n8n. A separate paid online service is also offered."],"whoFor":"Developers and data analysts who need to gather structured information from websites.","useWithoutCoding":"Developers only","keywords":["web scraping","extract data","crawler","websites","python"],"rating":2.5,"tags":[],"owner":{"name":"ScrapeGraphAI","githubUrl":"https://github.com/ScrapeGraphAI"},"license":"MIT","stars":31927,"contributors":135,"monthlyDownloads":32537,"lastPushedAt":"2026-10-06T08:27:54Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"crush","name":"Crush","repo":"charmbracelet/crush","githubUrl":"https://github.com/charmbracelet/crush","homepage":null,"pageUrl":"/repo/crush","category":"Coding assistants","tagline":"An AI coding assistant that runs in your terminal and works with the AI model you choose.","whatItDoes":["Crush is a coding assistant for the terminal. It connects to your code and tools and lets you work with a wide range of AI models, switching models mid-session without losing context.","It keeps separate work sessions per project and can be extended with add-on tools. It runs on macOS, Linux, Windows and several other systems."],"whoFor":"Programmers who like working in the terminal.","useWithoutCoding":"Developers only","keywords":["coding assistant","terminal","ai coding","command line"],"rating":2.5,"tags":[],"owner":{"name":"Charm","githubUrl":"https://github.com/charmbracelet"},"license":"NOASSERTION","stars":28694,"contributors":156,"monthlyDownloads":38520,"lastPushedAt":"2026-10-19T01:04:17Z","sources":[{"site":"Hacker News","title":"Crush: Glamourous AI coding agent for your favourite terminal","url":"https://news.ycombinator.com/item?id=44736176","date":"2025-07-30"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Linux","Windows","Phone"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Crush with a package manager, or download it from the project's releases page.","Start it in your terminal and choose a model from the model picker.","Sign in to the model provider or paste your API key."],"officialDownload":"https://github.com/charmbracelet/crush/releases"},{"slug":"agent-lightning","name":"Agent Lightning","repo":"microsoft/agent-lightning","githubUrl":"https://github.com/microsoft/agent-lightning","homepage":"https://microsoft.github.io/agent-lightning/","pageUrl":"/repo/agent-lightning","category":"Training & fine-tuning","tagline":"A Microsoft framework for training AI agents to get better at tasks through trial and reward.","whatItDoes":["Agent Lightning uses reinforcement learning, where an AI improves by trying tasks and being rewarded for good results. It trains agents while they run in their normal setup, without changing their code.","Its makers report that this raised a coding model's score on a programming benchmark after a few thousand training examples. They describe the core as small, about 3,500 lines of code."],"whoFor":"AI researchers and engineers who train agents.","useWithoutCoding":"Developers only","keywords":["train agents","reinforcement learning","ai training","coding agent"],"rating":2.5,"tags":["Research-backed"],"owner":{"name":"Microsoft","githubUrl":"https://github.com/microsoft"},"license":"MIT","stars":18749,"contributors":49,"monthlyDownloads":null,"lastPushedAt":"2026-10-09T07:47:53Z","sources":[{"site":"Research paper","title":"Agent Lightning: Train ANY AI Agents with Reinforcement Learning","url":"https://arxiv.org/abs/2508.03680","date":"2025-08-01"},{"site":"Research paper","title":"Agent Lightning v1.0: Towards Harnessed Agentic RL","url":"https://arxiv.org/abs/2608.17528","date":"2026-08-01"},{"site":"Hacker News","title":"Agent Lightning: Train agents with RL (no code changes needed)","url":"https://news.ycombinator.com/item?id=45706729","date":"2025-10-25"},{"site":"Hacker News","title":"Agent Lightning v1.0","url":"https://news.ycombinator.com/item?id=49423077","date":"2026-08-24"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"txtai","name":"txtai","repo":"neuml/txtai","githubUrl":"https://github.com/neuml/txtai","homepage":"https://neuml.github.io/txtai","pageUrl":"/repo/txtai","category":"Developer building blocks","tagline":"A toolkit for building search by meaning, AI question-answering and language workflows.","whatItDoes":["txtai is an all-in-one Python framework for working with AI and text. Its core is an embeddings database, a store that lets you search by meaning rather than by exact keywords.","On top of that it offers ready-made pipelines for tasks like question-answering, summarizing, translating and transcribing, plus workflows and AI agents that link these steps together.","Its makers say it can run locally, so data doesn't have to be sent to outside services, and other programming languages can use it through a web API."],"whoFor":"Developers building semantic search, chat-with-your-data or other language AI features.","useWithoutCoding":"Developers only","keywords":["semantic search","search by meaning","rag","chat with documents","python"],"rating":2.5,"tags":["New this week"],"owner":{"name":"NeuML","githubUrl":"https://github.com/neuml"},"license":"Apache-2.0","stars":13025,"contributors":80,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T12:56:27Z","sources":[{"site":"Hacker News","title":"Prompt-driven vector search with LLMs","url":"https://news.ycombinator.com/item?id=34633043","date":"2023-02-02"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Server"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"browser-use-web-ui","name":"Browser Use Web UI","repo":"browser-use/web-ui","githubUrl":"https://github.com/browser-use/web-ui","homepage":null,"pageUrl":"/repo/browser-use-web-ui","category":"AI agents","tagline":"A simple web page for telling an AI agent what to do in a web browser and watching it work.","whatItDoes":["This project adds an easy web interface to Browser Use, a tool that lets AI agents use websites. You type a task, and the AI controls a browser to complete it.","It works with many AI models, including those from Google, OpenAI, Anthropic and DeepSeek, as well as local models through Ollama. You can use your own browser, so you don't have to log in to sites again, and you can record the screen in high definition.","You can keep the browser window open between tasks to see the whole history of what the AI did."],"whoFor":"People curious about AI that browses the web for them, and developers testing browser agents.","useWithoutCoding":"With some setup","keywords":["browser automation","ai agent","web tasks","browser use","gradio"],"rating":2.5,"tags":[],"owner":{"name":"Browser Use","githubUrl":"https://github.com/browser-use"},"license":"MIT","stars":16616,"contributors":57,"monthlyDownloads":null,"lastPushedAt":"2026-09-25T03:56:21Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the project and set it up with Python, or run it with Docker.","Add your AI provider's API key to the settings file, or use a local model through Ollama.","Open the web page it starts and tell the AI agent what to do in the browser."],"officialDownload":null},{"slug":"pyod","name":"PyOD","repo":"yzhao062/pyod","githubUrl":"https://github.com/yzhao062/pyod","homepage":"https://pyod.dev/","pageUrl":"/repo/pyod","category":"Data science tools","tagline":"A Python toolkit for spotting unusual data points, such as possible fraud or faulty readings.","whatItDoes":["PyOD finds anomalies: data that doesn't fit the usual pattern, like a suspicious payment or a broken sensor reading. It offers many detection methods across tables, time series, networks, text, images and audio.","Its newer version adds an engine that picks suitable methods for your data and explains the results. AI coding assistants like Claude Code and Codex can use a special skill to run these investigations from plain-language requests."],"whoFor":"Data scientists and engineers who need to detect outliers or anomalies.","useWithoutCoding":"Developers only","keywords":["anomaly detection","outlier detection","fraud detection","python","data science"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"Yue Zhao","githubUrl":"https://github.com/yzhao062"},"license":"BSD-2-Clause","stars":10046,"contributors":86,"monthlyDownloads":2714709,"lastPushedAt":"2026-10-12T03:42:10Z","sources":[{"site":"Research paper","title":"PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection","url":"https://arxiv.org/abs/2412.12154","date":"2024-12-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"academic-research-skills","name":"Academic Research Skills","repo":"Imbad0202/academic-research-skills","githubUrl":"https://github.com/Imbad0202/academic-research-skills","homepage":"https://buymeacoffee.com/crucify020v","pageUrl":"/repo/academic-research-skills","category":"Add-ons for AI coding tools","tagline":"Helps researchers plan, write, check and revise academic papers with Claude, pausing for approval at each stage.","whatItDoes":["This is a set of skills (instruction packs) for Claude Code that covers the path from research question to finished paper: research, writing, peer-review style feedback, revision and final formatting.","Its makers stress that the AI is a copilot, not the pilot. It handles routine work like finding references, formatting citations and checking consistency, and it stops for your confirmation at every stage.","It also includes checks aimed at common AI mistakes, such as invented or unsupported citations. Its makers say it is not meant to hide AI use but to help people write better."],"whoFor":"Students, academics and researchers who write papers and want AI help with the routine parts.","useWithoutCoding":"With some setup","keywords":["academic writing","research paper","citations","literature review","peer review"],"rating":2.5,"tags":["Fast-rising","Research-backed"],"owner":{"name":"Edward Cheng-I Wu","githubUrl":"https://github.com/Imbad0202"},"license":"NOASSERTION","stars":52786,"contributors":25,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T01:25:37Z","sources":[{"site":"Research paper","title":"PaperOrchestra","url":"https://arxiv.org/abs/2604.05018","date":"2026-04-01"},{"site":"Research paper","title":"Self-Improvements in Modern Agentic Systems: A Survey","url":"https://arxiv.org/abs/2607.13104","date":"2026-07-01"},{"site":"Research paper","title":"The Emerging AI Paper-Review Arms Race: Adversarial Co-Evolution in Scholarly Publishing","url":"https://arxiv.org/abs/2609.07713","date":"2026-09-01"},{"site":"Hacker News","title":"Academic Research Skills for Claude Code","url":"https://news.ycombinator.com/item?id=48083919","date":"2026-05-10"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Install Claude Code and set up your Anthropic API key.","Add the Academic Research Skills plugin from its marketplace inside Claude Code.","Run the planning command and describe the paper you are working on."],"officialDownload":null},{"slug":"indextts","name":"IndexTTS","repo":"index-tts/index-tts","githubUrl":"https://github.com/index-tts/index-tts","homepage":null,"pageUrl":"/repo/indextts","category":"Speech & audio","tagline":"Reads text aloud in a voice copied from one short audio clip, with control over emotion and speed.","whatItDoes":["IndexTTS is a text-to-speech system: it turns written text into spoken audio. Give it one short recording of a voice and it can speak new text in a similar-sounding voice.","The latest version supports Chinese, English, Japanese, Spanish and Arabic. You can control emotion, speaking speed and how particular words are pronounced.","It comes with a simple web page for trying it out, and there are online demos. Copying a voice is powerful, so it's best used only with voices you have permission to use."],"whoFor":"Creators, researchers and developers who need natural-sounding, controllable synthetic speech.","useWithoutCoding":"With some setup","keywords":["text to speech","voice cloning","read aloud","ai voice","tts"],"rating":2.5,"tags":["Research-backed"],"owner":{"name":"index-tts","githubUrl":"https://github.com/index-tts"},"license":"NOASSERTION","stars":24566,"contributors":33,"monthlyDownloads":null,"lastPushedAt":"2026-09-29T16:06:53Z","sources":[{"site":"Research paper","title":"IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System","url":"https://arxiv.org/abs/2502.05512","date":"2025-02-12"},{"site":"Research paper","title":"IndexTTS2 paper","url":"https://arxiv.org/abs/2506.21619","date":"2025-06-01"},{"site":"Research paper","title":"IndexTTS-2.5 paper","url":"https://arxiv.org/abs/2601.03888","date":"2026-01-01"}],"checkedByPerson":true,"cost":"Free","runsOn":["Windows","Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Download the project and install its parts with the uv tool.","Download the voice models from Hugging Face or ModelScope.","Start the web demo and open it in your browser."],"officialDownload":null},{"slug":"pr-agent","name":"PR-Agent","repo":"The-PR-Agent/pr-agent","githubUrl":"https://github.com/The-PR-Agent/pr-agent","homepage":"https://www.pr-agent.ai/","pageUrl":"/repo/pr-agent","category":"Coding assistants","tagline":"An AI helper that reviews and describes code changes before they are merged into a project.","whatItDoes":["PR-Agent reviews pull requests, which are proposed changes to a software project. It can write a description of the change, point out problems, suggest improvements and answer questions about it.","It works with GitHub, GitLab, Bitbucket, Azure DevOps and Gitea, and can use many AI models, including OpenAI, Anthropic Claude, Google Gemini and local models through Ollama.","The README says it is now a community-maintained project and is separate from the company Qodo's own code review product."],"whoFor":"Software teams and open-source maintainers who want automatic AI feedback on code changes.","useWithoutCoding":"Developers only","keywords":["code review","pull request","github","bug finding"],"rating":2.5,"tags":["New this week"],"owner":{"name":"The PR Agent","githubUrl":"https://github.com/The-PR-Agent"},"license":"MIT","stars":13442,"contributors":417,"monthlyDownloads":30654,"lastPushedAt":"2026-10-18T17:45:45Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Cloud","Server","Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"manga-image-translator","name":"Manga Image Translator","repo":"zyddnys/manga-image-translator","githubUrl":"https://github.com/zyddnys/manga-image-translator","homepage":"https://cotrans.touhou.ai/","pageUrl":"/repo/manga-image-translator","category":"Images & video","tagline":"Translates the text inside manga and other images, then erases the original and fits in the translation.","whatItDoes":["This tool finds the text in an image, such as a comic page, reads it, translates it and paints the translation back into the picture. It also removes the original text and re-typesets the new words.","It mainly targets Japanese, but also supports Chinese, English and around 20 other languages. It can run as a batch tool, a local web page or a service for other programs.","The README says the project is still early in development and has many rough edges."],"whoFor":"Comic and manga readers, and fans who want to understand images in languages they can't read.","useWithoutCoding":"With some setup","keywords":["manga translation","translate comics","image translator","japanese to english","remove text from image"],"rating":2.5,"tags":["New this week"],"owner":{"name":"zyddnys","githubUrl":"https://github.com/zyddnys"},"license":"GPL-3.0","stars":10514,"contributors":104,"monthlyDownloads":null,"lastPushedAt":"2026-10-11T12:27:59Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Windows","Linux","Mac"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":null,"needsApiKey":false,"firstSteps":["Install Python, or Docker, on your computer.","Install the project following its README.","Start its local web page and upload an image to translate."],"officialDownload":null},{"slug":"k8sgpt","name":"K8sGPT","repo":"k8sgpt-ai/k8sgpt","githubUrl":"https://github.com/k8sgpt-ai/k8sgpt","homepage":"http://k8sgpt.ai/","pageUrl":"/repo/k8sgpt","category":"Coding assistants","tagline":"Scans Kubernetes server setups for problems and explains them in plain English using AI.","whatItDoes":["Kubernetes is popular software for running apps across many servers, and it can be hard to troubleshoot. K8sGPT checks a Kubernetes setup for common problems and uses AI to explain what's wrong and suggest fixes in simple language.","It has built-in checks based on the experience of site reliability engineers (the people who keep services running). It works with OpenAI, Azure, Cohere, Amazon Bedrock, Google Gemini and local models.","It is a command-line tool and can also connect to AI assistants through MCP, a standard way of giving AI tools extra abilities."],"whoFor":"DevOps engineers and developers who manage Kubernetes clusters.","useWithoutCoding":"Developers only","keywords":["kubernetes","devops","troubleshooting","servers","diagnose"],"rating":2.5,"tags":["New this week"],"owner":{"name":"k8sgpt","githubUrl":"https://github.com/k8sgpt-ai"},"license":"Apache-2.0","stars":8254,"contributors":144,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T11:59:53Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download K8sGPT for your system from the project's releases page or a package manager.","Connect it to an AI provider or a local model, then run it against your Kubernetes cluster."],"officialDownload":"https://github.com/k8sgpt-ai/k8sgpt/releases"},{"slug":"ekko-studio","name":"Ekko Studio","repo":"EKKOLearnAI/ekko-studio","githubUrl":"https://github.com/EKKOLearnAI/ekko-studio","homepage":"https://ekkostudio.xyz/","pageUrl":"/repo/ekko-studio","category":"AI agents","tagline":"One workspace app for chatting with, running and connecting many AI agents, including coding agents.","whatItDoes":["Ekko Studio is a workspace for AI agents, which are AI tools that can carry out tasks. It brings chats, group chats, files, voice and visual workflows together in one place.","It connects to its own Ekko Agent, Hermes Agent and many coding agents such as Claude Code and Codex. You can build step-by-step workflows, including steps where a person must approve before work continues.","It can also link to chat apps like Telegram, Discord, Slack and WhatsApp. It was previously called Hermes Studio or Hermes Web UI."],"whoFor":"People who use several AI agents and want to manage them from one place.","useWithoutCoding":"Yes","keywords":["ai workspace","multi agent","claude code","hermes","desktop app"],"rating":2.5,"tags":["New this week"],"owner":{"name":"ekko","githubUrl":"https://github.com/EKKOLearnAI"},"license":"NOASSERTION","stars":11461,"contributors":92,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:27:52Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Windows","Mac","Linux","Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Download the Ekko Studio desktop app for your computer from the project's releases page.","Open it and choose an agent to start chatting."],"officialDownload":"https://github.com/EKKOLearnAI/ekko-studio/releases/latest"},{"slug":"vane","name":"Vane","repo":"ItzCrazyKns/Vane","githubUrl":"https://github.com/ItzCrazyKns/Vane","homepage":null,"pageUrl":"/repo/vane","category":"Chat assistants","tagline":"A private, self-hosted AI search engine that answers questions with cited sources from the web.","whatItDoes":["Vane is an AI answering engine: you ask a question, it searches the web, then writes an answer with links to the sources it used. It runs on your own hardware and searches through SearxNG, a privacy-friendly search tool, so your searches stay private.","It can use local AI models through Ollama or cloud providers like OpenAI, Claude and Gemini. It offers quick or deeper research modes, image and video search, uploading files to ask questions about them, and a saved search history."],"whoFor":"People who want a Perplexity-style search assistant they control.","useWithoutCoding":"With some setup","keywords":["ai search","answer engine","private search","perplexity alternative","cited sources"],"rating":2.5,"tags":[],"owner":{"name":"Kushagra Srivastava","githubUrl":"https://github.com/ItzCrazyKns"},"license":"MIT","stars":37388,"contributors":50,"monthlyDownloads":null,"lastPushedAt":"2026-09-01T14:12:12Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Docker on your computer.","Start Vane with the single Docker command shown in the README.","Open it in your browser and choose your AI models in the setup screen."],"officialDownload":null},{"slug":"flower","name":"Flower","repo":"flwrlabs/flower","githubUrl":"https://github.com/flwrlabs/flower","homepage":"https://flower.ai/","pageUrl":"/repo/flower","category":"Training & fine-tuning","tagline":"A framework for training AI models across many devices without collecting everyone's data in one place.","whatItDoes":["Flower is a framework for federated learning, a way to train an AI model across many phones, computers or organisations. Each one learns from its own data, and only the lessons are shared, not the raw data.","It works with almost any machine learning tool, including PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn and JAX, and has quickstarts for Android and iOS.","Flower began as a research project at the University of Oxford. It comes with step-by-step tutorials and a collection of reproduced research experiments."],"whoFor":"AI researchers and developers who need to train models on data that cannot be moved, for privacy or practical reasons.","useWithoutCoding":"Developers only","keywords":["federated learning","privacy","distributed training","machine learning","research"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"Flower Labs","githubUrl":"https://github.com/flwrlabs"},"license":"Apache-2.0","stars":7168,"contributors":170,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T15:09:13Z","sources":[{"site":"Research paper","title":"Flower: A Friendly Federated Learning Research Framework","url":"https://arxiv.org/abs/2007.14390","date":"2020-07-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"espnet","name":"ESPnet","repo":"espnet/espnet","githubUrl":"https://github.com/espnet/espnet","homepage":"https://espnet.github.io/espnet/","pageUrl":"/repo/espnet","category":"Speech & audio","tagline":"A research toolkit for speech AI: transcription, text-to-speech, speech translation and more.","whatItDoes":["ESPnet is a large toolkit for building and running speech AI. It covers speech recognition (turning speech into text), text-to-speech, speech translation, cleaning up noisy audio, working out who spoke when, and singing voice synthesis.","It includes ready-made \"recipes\" for training models on many public datasets, plus pretrained models you can use straight away. Newer versions add a simple command line for transcribing audio.","It is aimed mainly at researchers and engineers, and training models usually needs a GPU."],"whoFor":"Speech researchers, students and engineers building speech AI.","useWithoutCoding":"Developers only","keywords":["speech recognition","text to speech","transcription","speech translation","research"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"ESPnet","githubUrl":"https://github.com/espnet"},"license":"Apache-2.0","stars":9988,"contributors":595,"monthlyDownloads":22999,"lastPushedAt":"2026-10-18T18:41:00Z","sources":[{"site":"Research paper","title":"E-Branchformer","url":"https://arxiv.org/abs/2210.00077","date":"2022-10-01"},{"site":"Research paper","title":"OWSM: open Whisper-style models trained on public data","url":"https://arxiv.org/abs/2309.13876","date":"2023-09-01"},{"site":"Hacker News","title":"Espnet/espnet: End-To-End Speech Processing Toolkit","url":"https://news.ycombinator.com/item?id=17689176","date":"2018-08-05"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Mac","Windows"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"adk-go","name":"Agent Development Kit (ADK) for Go","repo":"google/adk-go","githubUrl":"https://github.com/google/adk-go","homepage":"https://google.github.io/adk-docs/","pageUrl":"/repo/adk-go","category":"Developer building blocks","tagline":"Google's toolkit for programmers to build, test and launch AI agents using the Go language.","whatItDoes":["The Agent Development Kit (ADK) is a framework from Google for building AI agents, programs that use AI to carry out tasks with tools. This version is for the Go programming language.","Developers write the agent's logic, tools and teamwork between several agents directly in code. Its makers say it is suited to cloud apps and can be packaged and deployed to services like Google Cloud Run."],"whoFor":"Go programmers building AI agent applications.","useWithoutCoding":"Developers only","keywords":["ai agents","agent framework","google","golang","gemini"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Google","githubUrl":"https://github.com/google"},"license":"Apache-2.0","stars":8892,"contributors":126,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T17:38:24Z","sources":[{"site":"Hacker News","title":"Adk-go: code-first Go toolkit for building, evaluating, and deploying AI agents","url":"https://news.ycombinator.com/item?id=45891968","date":"2025-11-11"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"humanizer","name":"Humanizer","repo":"blader/humanizer","githubUrl":"https://github.com/blader/humanizer","homepage":"https://skills.sh/blader/humanizer","pageUrl":"/repo/humanizer","category":"Add-ons for AI coding tools","tagline":"A skill that rewrites AI-generated text so it reads more naturally, without changing what it says.","whatItDoes":["Humanizer is a skill, an instruction pack, for AI assistants like Claude, Codex and others. It looks for common signs of AI writing, based on a guide Wikipedia editors use, and rewrites them. Examples include phrases like \"It's not just X, it's Y\" and dramatic one-line endings.","It checks for 26 patterns, shows its first rewrite and a short critique, then gives a final version. It aims to keep every fact, name and number unchanged. You can also give it a sample of your own writing so the result sounds more like you.","Its makers say it edits for human readers and that getting past AI detectors is not a goal."],"whoFor":"Writers, marketers and anyone who uses AI to draft text and wants it to sound less machine-made.","useWithoutCoding":"With some setup","keywords":["ai writing","rewrite text","sound human","editing","claude skill"],"rating":2.5,"tags":["Fast-rising"],"owner":{"name":"Siqi Chen","githubUrl":"https://github.com/blader"},"license":"MIT","stars":58124,"contributors":23,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T19:12:03Z","sources":[{"site":"Hacker News","title":"Show HN: Agent Skills Leaderboard","url":"https://news.ycombinator.com/item?id=46697908","date":"2026-01-20"},{"site":"Hacker News","title":"In-demand tech skills are the last thing to look for in IT hires","url":"https://news.ycombinator.com/item?id=29014778","date":"2021-10-27"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Or add it to Claude Code or Codex using their plugin or skill installer.","Ask your assistant to humanize a piece of text you paste in."],"officialDownload":null},{"slug":"ten-framework","name":"TEN Framework","repo":"TEN-framework/ten-framework","githubUrl":"https://github.com/TEN-framework/ten-framework","homepage":"https://agent.theten.ai/","pageUrl":"/repo/ten-framework","category":"Speech & audio","tagline":"A toolkit for building AI assistants you can talk to out loud, in real time.","whatItDoes":["TEN is an open-source framework for building conversational AI that listens and speaks in real time, like a voice assistant. It connects speech recognition, an AI model and a voice together with low delay.","Its example apps include a general voice assistant, a doodle board that draws what you describe, speaker labelling, animated talking avatars, phone-call agents and a transcription tool. It can even run on a small hardware board.","The quick-start examples rely on several online services, including Agora for live audio, OpenAI for the AI model, Deepgram for speech recognition and ElevenLabs for the voice, each needing its own key."],"whoFor":"Developers building voice agents, talking avatars or real-time conversational apps.","useWithoutCoding":"Developers only","keywords":["voice assistant","real-time","talking avatar","voice agent","conversation"],"rating":2.5,"tags":["New this week"],"owner":{"name":"TEN framework","githubUrl":"https://github.com/TEN-framework"},"license":"NOASSERTION","stars":11177,"contributors":91,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T11:35:07Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Server","Cloud"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"one-api","name":"One API","repo":"songquanpeng/one-api","githubUrl":"https://github.com/songquanpeng/one-api","homepage":"https://oneapi.justsong.cn/","pageUrl":"/repo/one-api","category":"Running AI at scale","tagline":"One gateway for reaching many AI providers, such as OpenAI, Claude and Gemini, in a single standard way.","whatItDoes":["Each AI company has its own API (a doorway that lets programs talk to its models). One API sits in the middle so apps can reach many providers through one OpenAI-style doorway.","Administrators can manage access keys, set usage limits, spread traffic across accounts, and track usage. The README asks users to follow providers' terms and local laws."],"whoFor":"Teams and administrators who manage access to several AI services.","useWithoutCoding":"With some setup","keywords":["api gateway","openai api","manage keys","multiple models"],"rating":2.5,"tags":[],"owner":{"name":"JustSong","githubUrl":"https://github.com/songquanpeng"},"license":"MIT","stars":37195,"contributors":131,"monthlyDownloads":null,"lastPushedAt":"2026-01-09T03:26:43Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Server"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Run One API on a server with Docker, or download the program from its releases page.","Log in to its web admin page and change the default password straight away.","Add your AI providers' API keys as channels, then create an access token for your apps."],"officialDownload":"https://github.com/songquanpeng/one-api/releases"},{"slug":"dyad","name":"Dyad","repo":"dyad-sh/dyad","githubUrl":"https://github.com/dyad-sh/dyad","homepage":"https://dyad.sh/","pageUrl":"/repo/dyad","category":"App builders & workflows","tagline":"Build apps by describing them to AI, using a free program that runs on your own computer.","whatItDoes":["Dyad is an AI app builder: you describe the app you want and AI writes it for you. Its makers compare it to online services like Lovable, v0 and Bolt, but Dyad runs on your own computer.","You use your own AI provider keys, so you're not tied to one company. No sign-up is needed: you download it and start building."],"whoFor":"People who want to create apps with AI help while keeping control of their work.","useWithoutCoding":"Yes","keywords":["app builder","no-code","lovable alternative","build website","vibe coding"],"rating":2.5,"tags":[],"owner":{"name":"Dyad","githubUrl":"https://github.com/dyad-sh"},"license":"NOASSERTION","stars":21974,"contributors":36,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T20:54:47Z","sources":[{"site":"Hacker News","title":"Show HN: Dyad, local, open-source Lovable alternative (Electron desktop app)","url":"https://news.ycombinator.com/item?id=45296227","date":"2025-09-18"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Add your own API key from an AI provider.","Describe the app you want and let Dyad build it on your computer."],"officialDownload":"https://www.dyad.sh/"},{"slug":"paseo","name":"Paseo","repo":"getpaseo/paseo","githubUrl":"https://github.com/getpaseo/paseo","homepage":"https://paseo.sh/","pageUrl":"/repo/paseo","category":"Coding assistants","tagline":"Run and manage several AI coding agents at once from your desktop, phone, browser or terminal.","whatItDoes":["Paseo is an app for working with AI coding agents such as Claude Code, Codex, Copilot and OpenCode. You can run many at once, each in its own separate copy of your project, and review their changes in one window.","It includes an editor, terminals, a built-in browser and tools for opening pull requests (proposed code changes). You can speak tasks aloud with voice mode, and check on agents from iPhone or Android apps.","The agents run on your own machine. Its makers say Paseo has no telemetry, tracking or forced log-ins."],"whoFor":"Programmers who use command-line AI coding agents and want to run several in parallel.","useWithoutCoding":"With some setup","keywords":["coding agents","parallel","mobile","claude code","voice"],"rating":2.5,"tags":[],"owner":{"name":"getpaseo","githubUrl":"https://github.com/getpaseo"},"license":"NOASSERTION","stars":21322,"contributors":203,"monthlyDownloads":74146,"lastPushedAt":"2026-10-19T01:21:55Z","sources":[{"site":"Hacker News","title":"Show HN: Paseo – Beautiful open-source coding agent interface","url":"https://news.ycombinator.com/item?id=48377250","date":"2026-06-02"},{"site":"Hacker News","title":"Show HN: Paseo – Open-source coding agent interface (desktop, mobile, CLI)","url":"https://news.ycombinator.com/item?id=47530027","date":"2026-03-26"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Phone","Web browser","Server"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Install and sign in to at least one coding agent, such as Claude Code or Codex.","To use your phone, pair it from the desktop app's settings."],"officialDownload":"https://paseo.sh/download"},{"slug":"mini-swe-agent","name":"mini-swe-agent","repo":"SWE-agent/mini-swe-agent","githubUrl":"https://github.com/SWE-agent/mini-swe-agent","homepage":"https://mini-swe-agent.com/","pageUrl":"/repo/mini-swe-agent","category":"Coding assistants","tagline":"A tiny, simple AI coding agent that fixes software issues or helps in your terminal.","whatItDoes":["mini-swe-agent is an AI agent that works on code by running commands in a terminal. Its makers, the team behind the SWE-bench test and SWE-agent, built it to be as simple as possible: the core is about 100 lines of Python.","It has no special tools beyond the command line, so it can work with almost any AI model. Its makers say it still scores well on SWE-bench, a common test of how well AI fixes real software bugs.","Researchers use it as a simple baseline for comparing AI models, and developers can use it day to day or as a starting point for their own agent."],"whoFor":"Developers who want a lightweight coding agent, and researchers who need a simple, transparent agent for tests.","useWithoutCoding":"With some setup","keywords":["coding agent","bug fixing","terminal","swe-bench"],"rating":2.5,"tags":["Widely used","Research-backed","New this week"],"owner":{"name":"SWE-agent","githubUrl":"https://github.com/SWE-agent"},"license":"MIT","stars":8634,"contributors":39,"monthlyDownloads":11605679,"lastPushedAt":"2026-10-12T22:59:37Z","sources":[{"site":"Research paper","title":"SWE-agent paper","url":"https://arxiv.org/abs/2405.15793","date":"2024-05-01"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":true,"firstSteps":["Install it with Python's package installer.","Run the mini command in your terminal and connect an AI model, following its quick-start guide.","Describe the coding task you want it to do."],"officialDownload":null},{"slug":"baml","name":"BAML","repo":"BoundaryML/baml","githubUrl":"https://github.com/BoundaryML/baml","homepage":"https://boundaryml.com/explore","pageUrl":"/repo/baml","category":"Developer building blocks","tagline":"A programming language for building reliable AI agents.","whatItDoes":["BAML is a programming language made for building software that uses AI language models. Its makers say it is designed so agents make fewer mistakes.","It looks like TypeScript but has a strict type system, typed errors and a built-in testing framework aimed at AI work.","You can use it on its own or call BAML functions from other languages such as Python, TypeScript, Go, C#, Java and more."],"whoFor":"Developers who want a dedicated, type-safe language for building AI features.","useWithoutCoding":"Developers only","keywords":["programming language","ai agents","structured output","type safe","developer tool"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Boundary","githubUrl":"https://github.com/BoundaryML"},"license":"Apache-2.0","stars":9422,"contributors":112,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T23:56:30Z","sources":[{"site":"Hacker News","title":"Show HN: BAML - A new programming language to get structured data from LLMs","url":"https://news.ycombinator.com/item?id=39827354","date":"2024-03-26"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"agentscope-java","name":"AgentScope Java","repo":"agentscope-ai/agentscope-java","githubUrl":"https://github.com/agentscope-ai/agentscope-java","homepage":"https://java.agentscope.io/","pageUrl":"/repo/agentscope-java","category":"Developer building blocks","tagline":"A Java framework for building production AI agents that can run for a long time.","whatItDoes":["AgentScope Java is a framework for building AI agents in Java, aimed at production, enterprise use.","It includes building blocks such as an event stream for live updates, a permission system to gate what tools an agent can use, isolated sandboxes for running tools, and ways to coordinate several agents.","It supports distributed deployment, so agents and their memory can run across many servers."],"whoFor":"Java teams building long-running, production-grade AI agents.","useWithoutCoding":"Developers only","keywords":["java","ai agents","framework","enterprise","orchestration"],"rating":2.5,"tags":["New this week"],"owner":{"name":"AgentScope-AI","githubUrl":"https://github.com/agentscope-ai"},"license":"Apache-2.0","stars":6030,"contributors":205,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:36:15Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Server"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"n8n-mcp","name":"n8n-MCP","repo":"czlonkowski/n8n-mcp","githubUrl":"https://github.com/czlonkowski/n8n-mcp","homepage":"https://www.n8n-mcp.com/","pageUrl":"/repo/n8n-mcp","category":"Add-ons for AI coding tools","tagline":"Helps AI assistants like Claude build automations in n8n by giving them detailed knowledge of its building blocks.","whatItDoes":["n8n is a popular tool for building automations, such as \"when an email arrives, save the attachment and post a message in Slack\". n8n-MCP is an MCP server, a standard connector for AI assistants, that gives tools like Claude, Cursor or VS Code detailed knowledge of n8n's thousands of building blocks and workflow templates.","With it, you can ask an AI assistant to design, build and check n8n workflows for you. It can also connect to your own n8n setup to manage workflows directly.","The README warns never to let AI edit important live workflows directly: make a copy, test first and keep backups. There is a hosted version with a free daily limit, or you can run it yourself."],"whoFor":"People who use n8n for automation and want an AI assistant to help build workflows.","useWithoutCoding":"With some setup","keywords":["n8n","automation","workflows","mcp","claude"],"rating":2.5,"tags":[],"owner":{"name":"Romuald Członkowski","githubUrl":"https://github.com/czlonkowski"},"license":"MIT","stars":23100,"contributors":33,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T21:47:46Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Cloud","Server"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Sign up for the hosted dashboard's free tier and get your key, or host it yourself.","Connect it to your AI assistant, such as Claude Code or Cursor.","Copy your workflows before letting AI change them, as the README warns."],"officialDownload":null},{"slug":"db-gpt","name":"DB-GPT","repo":"eosphoros-ai/DB-GPT","githubUrl":"https://github.com/eosphoros-ai/DB-GPT","homepage":"http://docs.dbgpt.cn/","pageUrl":"/repo/db-gpt","category":"Documents & knowledge","tagline":"An AI assistant that connects to your databases and spreadsheets, answers questions and builds reports.","whatItDoes":["DB-GPT is an AI data assistant. You connect it to databases, CSV or Excel files and knowledge bases, then ask questions in plain language. The AI writes the database queries (SQL) and code to find the answer.","It can plan multi-step analyses, run code in a safe, isolated space, and turn results into charts, dashboards and reports. Reusable \"skills\" package common analysis methods.","It is also a platform for developers to build their own AI data tools."],"whoFor":"Analysts, business teams and developers who want to explore data by asking questions instead of writing queries.","useWithoutCoding":"With some setup","keywords":["data analysis","sql","excel","reports","ask your data"],"rating":2.5,"tags":["Research-backed"],"owner":{"name":"eosphoros","githubUrl":"https://github.com/eosphoros-ai"},"license":"MIT","stars":20158,"contributors":213,"monthlyDownloads":464,"lastPushedAt":"2026-10-11T08:19:47Z","sources":[{"site":"Research paper","title":"DB-GPT paper","url":"https://arxiv.org/pdf/2312.17449.pdf","date":"2023-12-01"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Linux"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Install DB-GPT with its one-line installer on a Mac or Linux computer.","Choose an AI provider and enter your API key when the setup wizard asks.","Open the web page it starts and connect your files or databases."],"officialDownload":null},{"slug":"opencodex","name":"opencodex","repo":"lidge-jun/opencodex","githubUrl":"https://github.com/lidge-jun/opencodex","homepage":"https://opencodex.me/","pageUrl":"/repo/opencodex","category":"Add-ons for AI coding tools","tagline":"Lets coding tools like Codex and Claude Code run on other AI models, such as Gemini, DeepSeek or local ones.","whatItDoes":["Many AI coding tools are built to talk to one company's models. opencodex is a small program on your computer that translates between them, so Codex, Claude Code, Claude Desktop and Grok Build can use other AI models.","Its makers say it supports more than 40 providers, including Gemini, DeepSeek, Kimi, Qwen and local models through Ollama. You set it up in a web dashboard on your own computer, and a beta desktop app is also available."],"whoFor":"Developers who want to use their favorite coding tool with a different AI model.","useWithoutCoding":"With some setup","keywords":["any model","codex","claude code","proxy","local models"],"rating":2.5,"tags":[],"owner":{"name":"JUN","githubUrl":"https://github.com/lidge-jun"},"license":"MIT","stars":17572,"contributors":253,"monthlyDownloads":97261,"lastPushedAt":"2026-10-19T01:14:42Z","sources":[],"checkedByPerson":true,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the desktop app from the releases page, or install the command-line version.","Open the dashboard in your browser and add the AI providers and models you want.","Start your coding tool, such as Codex or Claude Code, and pick a model."],"officialDownload":"https://github.com/lidge-jun/opencodex/releases"},{"slug":"cloudflare-agents","name":"Cloudflare Agents","repo":"cloudflare/agents","githubUrl":"https://github.com/cloudflare/agents","homepage":"https://developers.cloudflare.com/agents/","pageUrl":"/repo/cloudflare-agents","category":"Developer building blocks","tagline":"A toolkit for building AI agents that run on Cloudflare's network and remember their state.","whatItDoes":["Cloudflare Agents is a developer kit for building AI agents that live on Cloudflare's cloud. Each agent keeps its own memory and storage, sleeps when idle and wakes up when needed.","Its makers say you can run huge numbers of them, one per user or chat, and they cost nothing while inactive. Agents can chat, run scheduled jobs, send and receive email, handle voice, and use or provide MCP tools.","It includes ready parts for AI chat, multi-step workflows with human approval, and safe running of AI-written code."],"whoFor":"Web developers building AI features or agents on Cloudflare.","useWithoutCoding":"Developers only","keywords":["ai agents","cloudflare","chatbot backend","serverless"],"rating":2.5,"tags":["Widely used","New this week"],"owner":{"name":"Cloudflare","githubUrl":"https://github.com/cloudflare"},"license":"MIT","stars":5846,"contributors":78,"monthlyDownloads":8232124,"lastPushedAt":"2026-10-18T11:34:14Z","sources":[{"site":"Hacker News","title":"Web Search API","url":"https://news.ycombinator.com/item?id=49963171","date":"2026-10-05"},{"site":"Hacker News","title":"Cloudflare crawl endpoint","url":"https://news.ycombinator.com/item?id=47329557","date":"2026-03-10"}],"checkedByPerson":false,"cost":null,"runsOn":["Cloud"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"awesome-ai-agents","name":"Awesome AI Agents","repo":"e2b-dev/awesome-ai-agents","githubUrl":"https://github.com/e2b-dev/awesome-ai-agents","homepage":"https://docs.e2b.dev/?utm_source=github&utm_medium=referral&utm_campaign=repo_website&utm_content=awesome-ai-agents","pageUrl":"/repo/awesome-ai-agents","category":"Learning resources","tagline":"A curated list of AI agent projects and companies, with short descriptions and links.","whatItDoes":["This is a directory of AI agents: AI tools that try to complete tasks on their own rather than just chat. It is split into open-source projects and closed-source products and companies, listed alphabetically.","Each entry gives a category, such as general purpose, coding or multi-agent, a few bullet points on what it does, and links to its website, code or research paper. A web version lets you filter by category and use case. The list is maintained by E2B, which makes tools for running code in AI apps."],"whoFor":"Anyone surveying the AI agent landscape, from curious readers to builders looking for tools.","useWithoutCoding":"Yes","keywords":["ai agents list","autogpt","directory","agent tools","awesome list"],"rating":2.5,"tags":[],"owner":{"name":"E2B | Cloud for AI Agents","githubUrl":"https://github.com/e2b-dev"},"license":"NOASSERTION","stars":30500,"contributors":60,"monthlyDownloads":null,"lastPushedAt":"2026-08-21T18:52:45Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Browse the list of open-source and closed-source agents in the repository.","Or use the web version of the list to filter agents by category and use."],"officialDownload":null},{"slug":"minimind","name":"MiniMind","repo":"jingyaogong/minimind","githubUrl":"https://github.com/jingyaogong/minimind","homepage":"https://jingyaogong.github.io/minimind","pageUrl":"/repo/minimind","category":"Training & fine-tuning","tagline":"Train a tiny ChatGPT-style language model from scratch on a single home graphics card.","whatItDoes":["MiniMind is an educational project for training a very small language model, the technology behind chatbots, completely from scratch. Its makers say a basic training run takes about two hours on one consumer graphics card.","It covers every stage: preparing data, initial training, fine-tuning to follow instructions, and more advanced steps such as learning from feedback and using tools. The core code is written from the ground up so you can read how each part works, rather than hiding it inside big libraries.","It also includes training data, finished small models, a simple chat web page and a server that other chat apps can connect to. The main README is in Chinese, with an English version available."],"whoFor":"Students and developers who want to understand how language models are built by doing it themselves.","useWithoutCoding":"Developers only","keywords":["train llm","language model","learn ai","from scratch","small model"],"rating":2.5,"tags":[],"owner":{"name":"jingyaogong","githubUrl":"https://github.com/jingyaogong"},"license":"Apache-2.0","stars":63945,"contributors":21,"monthlyDownloads":null,"lastPushedAt":"2026-09-22T16:07:34Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"openwhispr","name":"OpenWhispr","repo":"OpenWhispr/openwhispr","githubUrl":"https://github.com/OpenWhispr/openwhispr","homepage":"https://openwhispr.com/","pageUrl":"/repo/openwhispr","category":"Speech & audio","tagline":"A desktop dictation app: press a key, speak, and your words appear as text wherever you type.","whatItDoes":["OpenWhispr turns your voice into text on your computer. Press a hotkey, talk, and the text is pasted where your cursor is, in any app. It can also translate as you dictate.","You can choose private, offline transcription with speech models that run on your own computer, or use cloud services with your own keys. It also records and transcribes meetings, labels who is speaking, and keeps searchable notes.","A built-in voice assistant can send what you say to AI models such as GPT, Claude or Gemini, or to local models."],"whoFor":"Anyone who wants to type by voice, plus people who want meeting transcripts and notes.","useWithoutCoding":"Yes","keywords":["dictation","voice to text","speech to text","meeting transcription","whisper"],"rating":2.5,"tags":["New this week"],"owner":{"name":"OpenWhispr","githubUrl":"https://github.com/OpenWhispr"},"license":"MIT","stars":9557,"contributors":106,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T17:23:42Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the installer for your computer from the project's releases page.","Choose a local speech model for offline use, or add a key for a cloud service.","Press the dictation hotkey, speak, and your words appear at your cursor."],"officialDownload":"https://github.com/OpenWhispr/openwhispr/releases/latest"},{"slug":"bisheng","name":"BISHENG","repo":"dataelement/bisheng","githubUrl":"https://github.com/dataelement/bisheng","homepage":"http://www.bisheng.ai/","pageUrl":"/repo/bisheng","category":"App builders & workflows","tagline":"A company platform for building AI assistants, workflows and team knowledge bases.","whatItDoes":["BISHENG is a platform for businesses to build and run AI applications. It includes an agent that breaks a goal into steps and can produce reports, slides, spreadsheets or Word files.","It also offers shared knowledge spaces where teams store documents and ask the AI questions, with answers that point back to their sources. A visual workflow editor lets people chain steps, loops and human approvals.","There are business features such as user roles, permissions, approvals and audit logs. Some features, like dashboards, are only in a commercial edition."],"whoFor":"Companies and IT teams that want to host their own AI tools for staff.","useWithoutCoding":"With some setup","keywords":["enterprise ai","ai workflow","knowledge base","company chatbot"],"rating":2.5,"tags":["New this week"],"owner":{"name":"DataElem","githubUrl":"https://github.com/dataelement"},"license":"Apache-2.0","stars":12061,"contributors":77,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:46:56Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server"],"hardware":"Made for servers or data centres","privacy":null,"needsApiKey":false,"firstSteps":["Prepare a server with at least 16 GB of memory and Docker installed.","Download BISHENG and start it with Docker, following the README."],"officialDownload":null},{"slug":"pysyft","name":"PySyft","repo":"OpenMined/PySyft","githubUrl":"https://github.com/OpenMined/PySyft","homepage":"https://www.openmined.org/","pageUrl":"/repo/pysyft","category":"Developer building blocks","tagline":"Lets researchers analyse private data held by someone else without the data ever leaving its owner.","whatItDoes":["PySyft is a Python tool for privacy-preserving data science. A data scientist writes an analysis and sends it to the data owner. The owner reviews it, runs it on their own machine, and shares back only the approved results.","The data scientist can first explore a fake sample of the data, then submit the real job. Owners must approve each collaborator and each result. It works through cloud storage that organisations already use, such as Google Drive.","Tutorials show uses such as testing a private AI model on a private test set, or analysing AI chat logs without exposing them."],"whoFor":"Data scientists and organisations that need to work together on sensitive data, such as in health or research.","useWithoutCoding":"Developers only","keywords":["data privacy","private data","federated learning","secure analysis"],"rating":2.5,"tags":["New this week"],"owner":{"name":"OpenMined","githubUrl":"https://github.com/OpenMined"},"license":"Apache-2.0","stars":10044,"contributors":528,"monthlyDownloads":3661,"lastPushedAt":"2026-10-16T13:29:25Z","sources":[{"site":"Hacker News","title":"Jupyter Notebook Tutorial – Privacy-Preserving Deep Learning in PyTorch","url":"https://news.ycombinator.com/item?id=18595405","date":"2018-12-04"},{"site":"Hacker News","title":"Show HN: Encrypted Deep Learning in PyTorch","url":"https://news.ycombinator.com/item?id=18285722","date":"2018-10-23"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"segmentation-models-pytorch","name":"Segmentation Models PyTorch","repo":"qubvel-org/segmentation_models.pytorch","githubUrl":"https://github.com/qubvel-org/segmentation_models.pytorch","homepage":"https://smp.readthedocs.io/","pageUrl":"/repo/segmentation-models-pytorch","category":"Developer building blocks","tagline":"A code library for building AI models that outline objects in images, pixel by pixel.","whatItDoes":["Segmentation Models PyTorch (SMP) helps programmers build image segmentation models. Segmentation means the AI labels every pixel in a picture, for example marking which pixels are road, car or sky.","It offers a dozen well-known model designs and hundreds of pre-trained starting points, so you don't have to train everything from zero. Its makers say a model can be created in two lines of code.","It also includes common ways to measure accuracy, and models can be exported for use in other software."],"whoFor":"Developers and researchers working on medical images, satellite photos, self-driving or other vision projects.","useWithoutCoding":"Developers only","keywords":["image segmentation","computer vision","pytorch","pretrained models"],"rating":2.5,"tags":["New this week"],"owner":{"name":"qubvel-org","githubUrl":"https://github.com/qubvel-org"},"license":"MIT","stars":11773,"contributors":79,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:43:25Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"data-science-interviews","name":"Data Science Interviews","repo":"alexeygrigorev/data-science-interviews","githubUrl":"https://github.com/alexeygrigorev/data-science-interviews","homepage":"https://alexeygrigorev.com/data-science-interviews/","pageUrl":"/repo/data-science-interviews","category":"Learning resources","tagline":"A community-written set of data science and machine learning interview questions, with answers.","whatItDoes":["This is a list of questions often asked in data science job interviews, with answers written and improved by the community.","Theory questions cover topics like linear models, decision trees and neural networks. Technical questions cover SQL, Python and coding. There is also a section on probability and a list of other interview resources."],"whoFor":"People preparing for data science or machine learning job interviews, and anyone reviewing the basics.","useWithoutCoding":"Yes","keywords":["interview questions","data science jobs","machine learning interview","study guide"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Alexey Grigorev","githubUrl":"https://github.com/alexeygrigorev"},"license":"CC-BY-4.0","stars":10197,"contributors":96,"monthlyDownloads":null,"lastPushedAt":"2026-09-26T02:59:47Z","sources":[{"site":"Hacker News","title":"Data science interview questions with answers","url":"https://news.ycombinator.com/item?id=24460141","date":"2020-09-13"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the project page and start with the theory questions or the technical questions."],"officialDownload":null},{"slug":"openrlhf","name":"OpenRLHF","repo":"OpenRLHF/OpenRLHF","githubUrl":"https://github.com/OpenRLHF/OpenRLHF","homepage":"https://openrlhf.readthedocs.io/","pageUrl":"/repo/openrlhf","category":"Training & fine-tuning","tagline":"A framework for training large language models with feedback so they give better answers.","whatItDoes":["OpenRLHF helps teams improve large language models with reinforcement learning from human feedback (RLHF), which rewards a model for answers people prefer. It can also train multi-step AI agents and models that understand images.","It spreads the work across many graphics cards, and its makers say it handles models of 70 billion parameters and more."],"whoFor":"AI researchers and engineers training large language models.","useWithoutCoding":"Developers only","keywords":["rlhf","fine-tune llm","reinforcement learning"],"rating":2.5,"tags":["New this week"],"owner":{"name":"OpenRLHF","githubUrl":"https://github.com/OpenRLHF"},"license":"Apache-2.0","stars":10096,"contributors":97,"monthlyDownloads":null,"lastPushedAt":"2026-10-05T17:33:02Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Server"],"hardware":"Made for servers or data centres","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"camel","name":"CAMEL","repo":"camel-ai/camel","githubUrl":"https://github.com/camel-ai/camel","homepage":"https://docs.camel-ai.org/","pageUrl":"/repo/camel","category":"AI agents","tagline":"A framework for building and studying groups of AI agents that work together, including at very large scale.","whatItDoes":["CAMEL is an open-source framework for multi-agent systems, where several AI agents talk to each other and cooperate. The community behind it studies how agents behave as you use more of them, including their abilities and risks.","Developers use it for three main things: generating training data, automating tasks, and simulating worlds where many agents interact.","It's mainly aimed at research, with a research paper describing the original idea."],"whoFor":"AI researchers and developers who want to build or study cooperating AI agents.","useWithoutCoding":"Developers only","keywords":["multi-agent","ai agents","simulation","research","framework"],"rating":2.5,"tags":["Research-backed"],"owner":{"name":"camel-ai.org","githubUrl":"https://github.com/camel-ai"},"license":"Apache-2.0","stars":17931,"contributors":238,"monthlyDownloads":42975,"lastPushedAt":"2026-10-12T09:06:03Z","sources":[{"site":"Research paper","title":"CAMEL paper (linked from the README)","url":"https://arxiv.org/abs/2303.17760","date":"2023-03-01"},{"site":"Hacker News","title":"Owl: Optimized Workforce Learning for multi-agent collaboration","url":"https://news.ycombinator.com/item?id=43331673","date":"2025-03-11"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"claude-code-best-practice","name":"claude-code-best-practice","repo":"shanraisshan/claude-code-best-practice","githubUrl":"https://github.com/shanraisshan/claude-code-best-practice","homepage":"https://linkedin.com/in/shanraisshan","pageUrl":"/repo/claude-code-best-practice","category":"Learning resources","tagline":"A reference guide to Claude Code's features, with tips and working examples for each one.","whatItDoes":["This repository is a community guide to Claude Code, Anthropic's AI coding assistant. It walks through its main features, such as sub-agents, commands, skills, hooks, MCP connectors, plugins, settings and memory, and shows where each one lives in a project.","For many features it links to a best-practice write-up, an example you can copy and the official documentation. It also tracks newer features and collects tips from the community."],"whoFor":"People learning Claude Code, from first-time users to developers who want to set it up well.","useWithoutCoding":"Yes","keywords":["claude code","tips","best practices","ai coding","guide"],"rating":2.5,"tags":["Fast-rising"],"owner":{"name":"Shayan Rais","githubUrl":"https://github.com/shanraisshan"},"license":"MIT","stars":67711,"contributors":5,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T06:34:02Z","sources":[{"site":"Hacker News","title":"I had to take down my course-swapping site or be expelled","url":"https://news.ycombinator.com/item?id=42638626","date":"2025-01-08"},{"site":"Hacker News","title":"It's later than you think","url":"https://news.ycombinator.com/item?id=20928570","date":"2019-09-10"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Browse the table of Claude Code features and open the guide for one you want to learn.","Look at the matching example files in the project to see it in practice."],"officialDownload":null},{"slug":"context-mode","name":"Context Mode","repo":"mksglu/context-mode","githubUrl":"https://github.com/mksglu/context-mode","homepage":"https://context-mode.com/","pageUrl":"/repo/context-mode","category":"Add-ons for AI coding tools","tagline":"Keeps AI coding assistants from filling their limited memory with bulky tool output.","whatItDoes":["AI coding assistants can only keep a certain amount of text in mind at once, called the \"context window\". When they use tools, such as reading web pages or files, the raw results can quickly use up that space.","Context Mode is an add-on that keeps that raw data out of the way and passes back only what matters. Its makers say this can cut the space used by up to 98% in their examples. It also records what happened in a session, such as file edits and decisions, so the assistant can pick up where it left off after its memory is trimmed.","It works with many coding tools, including Claude Code, Codex, Cursor, Copilot and Gemini CLI."],"whoFor":"Programmers who use AI coding assistants for long sessions.","useWithoutCoding":"With some setup","keywords":["claude code","save tokens","context window","coding assistant","memory"],"rating":2.5,"tags":["Fast-rising"],"owner":{"name":"Mert Köseoğlu","githubUrl":"https://github.com/mksglu"},"license":"NOASSERTION","stars":30771,"contributors":112,"monthlyDownloads":99092,"lastPushedAt":"2026-10-19T01:48:54Z","sources":[{"site":"Hacker News","title":"Show HN: Context Mode – 315 KB of MCP output becomes 5.4 KB in Claude Code","url":"https://news.ycombinator.com/item?id=47148025","date":"2026-02-25"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Inside Claude Code, add Context Mode from its plugin marketplace and install it.","Restart Claude Code so the plugin loads.","Run the doctor check to confirm everything is working."],"officialDownload":null},{"slug":"chatall","name":"ChatALL","repo":"ai-shifu/ChatALL","githubUrl":"https://github.com/ai-shifu/ChatALL","homepage":"https://chatall.ai/","pageUrl":"/repo/chatall","category":"Chat assistants","tagline":"Ask many AI chatbots the same question at once and compare their answers side by side.","whatItDoes":["ChatALL is a desktop app that sends your message to several AI chatbots at the same time, such as ChatGPT, Claude, Gemini, Copilot, Perplexity and many others. You can then compare the answers and pick the best one.","Some bots are reached through their websites using your own logins, and others through their official APIs (doorways for programs) with your own keys. The README notes that bots reached through websites are less reliable, because those sites change often."],"whoFor":"Heavy AI users, researchers comparing chatbots, and developers testing prompts across models.","useWithoutCoding":"Yes","keywords":["compare chatbots","chatgpt","claude","gemini","desktop app"],"rating":2.5,"tags":[],"owner":{"name":"ai-shifu","githubUrl":"https://github.com/ai-shifu"},"license":"Apache-2.0","stars":16506,"contributors":48,"monthlyDownloads":null,"lastPushedAt":"2026-10-13T12:12:10Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Windows","Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Download the installer for your computer from the project's releases page.","Log in to the AI chatbots you use, or add their API keys.","Type a question and compare the answers side by side."],"officialDownload":"https://github.com/ai-shifu/ChatALL/releases"},{"slug":"universal-modder","name":"Universal Modder","repo":"rehan-remade/universal-modder","githubUrl":"https://github.com/rehan-remade/universal-modder","homepage":null,"pageUrl":"/repo/universal-modder","category":"Add-ons for AI coding tools","tagline":"Skills and tools that let an AI coding agent help mod PC games you own.","whatItDoes":["Universal Modder is a set of skills, tools and a shared knowledge base that let AI coding agents help modify PC games you own. The agent studies the game, reads its code and builds a mod.","It can also create art, 3D models and sound for mods using an outside creative service, test the mod in the running game, and record a showcase video.","It works with several AI coding agents, including Claude Code, Codex, Gemini and others."],"whoFor":"Players and hobbyists who use an AI coding agent and want help making game mods.","useWithoutCoding":"With some setup","keywords":["game modding","ai coding","claude code","game tools","reverse engineering"],"rating":2.5,"tags":["New this week"],"owner":{"name":"rehan-remade","githubUrl":"https://github.com/rehan-remade"},"license":"MIT","stars":8352,"contributors":121,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T20:38:43Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Install the add-on into your chosen AI coding agent.","Set up a key for the creative asset service if you want generated art.","Point the agent at a game you own and describe the mod you want."],"officialDownload":null},{"slug":"dlib","name":"dlib","repo":"davisking/dlib","githubUrl":"https://github.com/davisking/dlib","homepage":"http://dlib.net/","pageUrl":"/repo/dlib","category":"Developer building blocks","tagline":"A long-standing C++ and Python toolkit for machine learning and computer vision, such as face detection.","whatItDoes":["dlib is a code library full of machine learning tools and algorithms for solving real-world problems. It is written in C++ and can also be used from Python.","Programmers build it into their own software. It comes with many example programs to learn from.","Its license is very permissive: the README says you can use it however you like, even in closed-source commercial software."],"whoFor":"Programmers building software that needs machine learning or image analysis.","useWithoutCoding":"Developers only","keywords":["machine learning","computer vision","face detection","c++","python"],"rating":2.5,"tags":[],"owner":{"name":"Davis E. King","githubUrl":"https://github.com/davisking"},"license":"BSL-1.0","stars":14463,"contributors":219,"monthlyDownloads":171622,"lastPushedAt":"2026-10-17T19:08:09Z","sources":[{"site":"Hacker News","title":"A Global Optimization Algorithm Worth Using","url":"https://news.ycombinator.com/item?id=16438614","date":"2018-02-22"},{"site":"Hacker News","title":"Dlib: Modern C++/Python Toolkit for Machine Learning","url":"https://news.ycombinator.com/item?id=27917159","date":"2021-07-22"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"gpt-neox","name":"GPT-NeoX","repo":"EleutherAI/gpt-neox","githubUrl":"https://github.com/EleutherAI/gpt-neox","homepage":"https://www.eleuther.ai/","pageUrl":"/repo/gpt-neox","category":"Training & fine-tuning","tagline":"EleutherAI's software for training very large language models from scratch across many graphics cards.","whatItDoes":["GPT-NeoX is a library for training large language models, the kind of AI behind chatbots, on many GPUs (graphics cards) at once. It builds on well-known training tools from NVIDIA and Microsoft.","Its makers say it has been used by many universities, companies and labs to train dozens of models, including EleutherAI's own Pythia models. It has ready-made settings for popular model designs and can export models to the widely used Hugging Face format.","The README is clear that it is meant for training models with billions of parameters from scratch. For simply running a model, it recommends other tools."],"whoFor":"Research labs and companies training their own large language models on big computing clusters.","useWithoutCoding":"Developers only","keywords":["train language model","llm training","gpu cluster","pythia"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"EleutherAI","githubUrl":"https://github.com/EleutherAI"},"license":"Apache-2.0","stars":7470,"contributors":140,"monthlyDownloads":null,"lastPushedAt":"2026-10-11T17:13:53Z","sources":[{"site":"Research paper","title":"GPT-NeoX-20B","url":"https://arxiv.org/abs/2204.06745","date":"2022-04-01"},{"site":"Hacker News","title":"GPT-Neo – Building a GPT-3-sized model, open source and free","url":"https://news.ycombinator.com/item?id=25819803","date":"2021-01-18"},{"site":"Hacker News","title":"The Pile is a 825 GiB diverse, open-source language modelling data set (2020)","url":"https://news.ycombinator.com/item?id=39631516","date":"2024-03-07"}],"checkedByPerson":false,"cost":"Free","runsOn":["Server"],"hardware":"Made for servers or data centres","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"trendradar","name":"TrendRadar","repo":"sansan0/TrendRadar","githubUrl":"https://github.com/sansan0/TrendRadar","homepage":"https://trendradar.sandev.cc/","pageUrl":"/repo/trendradar","category":"Everyday tools","tagline":"Collects trending news from many sites, filters it by your keywords with AI, and sends summaries to your phone.","whatItDoes":["TrendRadar gathers trending topics from several platforms and RSS feeds (a standard way websites publish updates) into one place, so you only see news you care about.","You choose keywords to filter by. AI can also pick out relevant stories, translate them and write short analysis briefs. Results can be pushed to apps such as WeChat, Feishu, DingTalk, Telegram, Slack, email, ntfy or Bark. It can also connect to AI assistants through MCP so you can ask questions about the news in plain language.","The main documentation is in Chinese, with an English version. It gets much of its data from another open project called newsnow."],"whoFor":"People who follow news and online trends and want a filtered digest instead of endless scrolling.","useWithoutCoding":"With some setup","keywords":["news alerts","trending topics","rss","news digest","monitor keywords"],"rating":2.5,"tags":[],"owner":{"name":"sansan","githubUrl":"https://github.com/sansan0"},"license":"GPL-3.0","stars":63009,"contributors":9,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T11:24:14Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Server","Cloud"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Start with the quick-start guide on the project's official website.","Choose how to run it: copy the project on GitHub, use Docker, or install it locally.","Set the keywords you care about and where you want summaries sent."],"officialDownload":null},{"slug":"claude-howto","name":"Claude How To","repo":"luongnv89/claude-howto","githubUrl":"https://github.com/luongnv89/claude-howto","homepage":"http://luongnv.com/claude-howto/","pageUrl":"/repo/claude-howto","category":"Learning resources","tagline":"A visual, step-by-step guide to learning Claude Code, with templates you can copy into your own projects.","whatItDoes":["Claude How To is a free guide to Claude Code, Anthropic's AI coding assistant that runs in a terminal. It walks from the basics up to advanced features, using diagrams and real examples.","It has 10 tutorial modules covering features such as slash commands, memory, hooks, skills, MCP connectors and helper agents. It comes with copy-and-paste templates and short quizzes you can run inside Claude Code to find gaps in your knowledge.","Its makers estimate the full learning path takes about 11 to 13 hours."],"whoFor":"People who have installed Claude Code and want a structured way to learn what it can do.","useWithoutCoding":"With some setup","keywords":["claude code tutorial","learn","guide","templates","beginner"],"rating":2.5,"tags":["Fast-rising"],"owner":{"name":"Luong NGUYEN","githubUrl":"https://github.com/luongnv89"},"license":"MIT","stars":41947,"contributors":24,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T20:23:10Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Make sure you have Claude Code installed.","Download the guide and copy its first slash command template into your own project.","Try the command in Claude Code, then follow the learning path module by module."],"officialDownload":null},{"slug":"lmcache","name":"LMCache","repo":"LMCache/LMCache","githubUrl":"https://github.com/LMCache/LMCache","homepage":"https://lmcache.ai/","pageUrl":"/repo/lmcache","category":"Running AI at scale","tagline":"Helps servers that run AI chat models answer faster and more cheaply by reusing work they've already done.","whatItDoes":["When an AI language model reads a prompt, it builds up a kind of short-term memory called a KV cache. Normally this is thrown away or kept only in the graphics card's limited memory. LMCache stores it and lets the server reuse it for later requests that share the same text.","It can move this cached data to regular memory, local disks or remote storage, and share it between several AI servers. Its makers say this cuts repeated work and shortens the wait for the first word of an answer.","It plugs into popular open-source model-serving software and includes monitoring tools for teams running it in production."],"whoFor":"Engineering teams that host large language models for many users.","useWithoutCoding":"Developers only","keywords":["kv cache","llm serving","faster ai responses","inference speed","vllm"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"LMCache","githubUrl":"https://github.com/LMCache"},"license":"Apache-2.0","stars":12109,"contributors":372,"monthlyDownloads":53581,"lastPushedAt":"2026-10-19T00:44:40Z","sources":[{"site":"Research paper","title":"LMCache: An Efficient KV Cache Layer for Enterprise-Scale LLM Inference","url":"https://arxiv.org/abs/2510.09665","date":"2025-10-01"},{"site":"Hacker News","title":"Lossless LLM 3x Throughput Increase by LMCache","url":"https://news.ycombinator.com/item?id=44367811","date":"2025-06-24"}],"checkedByPerson":false,"cost":"Free","runsOn":["Server"],"hardware":"Made for servers or data centres","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"genkit","name":"Genkit","repo":"genkit-ai/genkit","githubUrl":"https://github.com/genkit-ai/genkit","homepage":"https://genkit.dev/","pageUrl":"/repo/genkit","category":"Developer building blocks","tagline":"Google's open framework for building AI features and agents into apps, in several programming languages.","whatItDoes":["Genkit is a toolkit for developers adding AI to their apps. It gives one consistent way to use models from Google, OpenAI, Anthropic, Ollama and others, so you can switch between them easily.","It supports common AI app patterns like multi-step workflows, agents, and searching your own data. A local developer page helps test prompts and see what happens at each step.","It is available for JavaScript/TypeScript and Go, with Python and Dart versions at earlier stages. Its makers say it is used in production by Google's Firebase."],"whoFor":"App developers who want to build AI-powered features.","useWithoutCoding":"Developers only","keywords":["ai framework","build ai app","agents","google","javascript"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Genkit","githubUrl":"https://github.com/genkit-ai"},"license":"Apache-2.0","stars":6529,"contributors":164,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T04:55:46Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Server","Cloud"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"mcp-atlassian","name":"MCP Atlassian","repo":"sooperset/mcp-atlassian","githubUrl":"https://github.com/sooperset/mcp-atlassian","homepage":"https://mcp-atlassian.soomiles.com/","pageUrl":"/repo/mcp-atlassian","category":"Add-ons for AI coding tools","tagline":"Lets AI assistants search, create and update Jira tickets and Confluence pages for you.","whatItDoes":["Jira and Confluence are Atlassian's tools for tracking work and sharing documents. MCP Atlassian is an MCP server, a standard plug-in that gives AI assistants new abilities, which connects them to these tools.","Once set up in Claude Desktop, Cursor or a similar app, you can ask things like \"find issues assigned to me\" or \"create a bug ticket for the login issue\" and the assistant does it.","It works with both the cloud and self-hosted versions of Jira and Confluence. You need an Atlassian access token."],"whoFor":"Teams that use Jira or Confluence and want their AI assistant to work with them directly.","useWithoutCoding":"With some setup","keywords":["jira","confluence","mcp server","project management","tickets"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Hyeonsoo Lee","githubUrl":"https://github.com/sooperset"},"license":"MIT","stars":6014,"contributors":183,"monthlyDownloads":null,"lastPushedAt":"2026-09-19T10:20:14Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Create an API token in your Atlassian account settings.","Add MCP Atlassian to your AI app's MCP settings with your Jira and Confluence addresses and the token.","Ask your assistant to find or update your Jira issues."],"officialDownload":null},{"slug":"vosk","name":"Vosk","repo":"alphacep/vosk-api","githubUrl":"https://github.com/alphacep/vosk-api","homepage":null,"pageUrl":"/repo/vosk","category":"Speech & audio","tagline":"Turns speech into text offline, in more than 20 languages, even on small devices like phones.","whatItDoes":["Vosk is a speech recognition toolkit that works without an internet connection. It supports more than 20 languages and dialects, including English, Chinese, Spanish, Hindi and Arabic.","Its makers say its models are small, about 50 MB, but can still transcribe continuous speech instantly as you talk. It can also tell speakers apart.","It runs on everything from a Raspberry Pi or Android phone to large servers, and is used for chatbots, smart home devices, subtitles and lecture transcripts."],"whoFor":"Developers building voice features into apps or devices, especially where privacy or offline use matters.","useWithoutCoding":"Developers only","keywords":["speech to text","offline","transcription","voice recognition"],"rating":2.5,"tags":[],"owner":{"name":"Alpha Cephei","githubUrl":"https://github.com/alphacep"},"license":"Apache-2.0","stars":15181,"contributors":52,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T08:36:44Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Phone","Server"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"cuml","name":"NVIDIA cuML","repo":"NVIDIA/cuml","githubUrl":"https://github.com/NVIDIA/cuml","homepage":"https://docs.nvidia.com/cuml/","pageUrl":"/repo/cuml","category":"Data science tools","tagline":"Speeds up common machine-learning tasks by running them on NVIDIA graphics cards.","whatItDoes":["cuML is a library from NVIDIA that runs classic machine-learning methods, such as clustering and classification, on NVIDIA graphics cards (GPUs).","It works like scikit-learn, a popular Python machine-learning library. It can also speed up existing scikit-learn code without changing it.","Its makers say it can be up to 50 times faster on some tasks, depending on the method, data and hardware."],"whoFor":"Data scientists who use Python and have access to NVIDIA graphics cards.","useWithoutCoding":"Developers only","keywords":["gpu machine learning","scikit-learn faster","data science","nvidia"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"NVIDIA Corporation","githubUrl":"https://github.com/NVIDIA"},"license":"Apache-2.0","stars":5306,"contributors":216,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T06:52:52Z","sources":[{"site":"Research paper","title":"Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence","url":"https://arxiv.org/abs/2002.04803","date":"2020-02-01"},{"site":"Hacker News","title":"CUDA 11.0","url":"https://news.ycombinator.com/item?id=23772245","date":"2020-07-08"},{"site":"Hacker News","title":"CUDA Toolkit Release Notes","url":"https://news.ycombinator.com/item?id=21618774","date":"2019-11-24"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"facefusion","name":"FaceFusion","repo":"facefusion/facefusion","githubUrl":"https://github.com/facefusion/facefusion","homepage":"https://facefusion.io/","pageUrl":"/repo/facefusion","category":"Images & video","tagline":"A tool for swapping and editing faces in images and videos using AI.","whatItDoes":["FaceFusion describes itself as a face manipulation platform. Its project tags point to face swapping, putting one person's face onto another in a picture or video, and lip-syncing.","It can run single jobs or queues of jobs. Its makers say installing it takes technical skills, and they point beginners to separate installers for Windows and macOS.","Altering images of real people can mislead others, so it is wise to use it only with the consent of those shown."],"whoFor":"Video creators and hobbyists experimenting with face editing.","useWithoutCoding":"With some setup","keywords":["face swap","deepfake","video editing","lip sync"],"rating":2.5,"tags":[],"owner":{"name":"FaceFusion","githubUrl":"https://github.com/facefusion"},"license":"NOASSERTION","stars":30310,"contributors":3,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T18:41:32Z","sources":[{"site":"Hacker News","title":"FaceFusion: Next generation face swapper and enhancer","url":"https://news.ycombinator.com/item?id=37270648","date":"2023-08-26"}],"checkedByPerson":true,"cost":null,"runsOn":["Windows","Mac"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["The makers say manual installation needs technical skills and is not for beginners.","If you are not comfortable with a terminal, use the official Windows or macOS installer instead."],"officialDownload":"https://docs.facefusion.io/installation"},{"slug":"easyocr","name":"EasyOCR","repo":"JaidedAI/EasyOCR","githubUrl":"https://github.com/JaidedAI/EasyOCR","homepage":"https://www.jaided.ai/","pageUrl":"/repo/easyocr","category":"Developer building blocks","tagline":"Reads printed text out of photos and images in more than 80 languages.","whatItDoes":["OCR (optical character recognition) means finding and reading text in a picture, such as a street sign, a menu or a scanned page. EasyOCR does this with AI and supports more than 80 languages and many writing systems, including Latin, Chinese, Arabic, Devanagari and Cyrillic.","You give it an image and the languages to look for. It returns each piece of text it found, where it is in the picture, and how confident it is.","It is a Python library, so it's mainly for developers. There is also a web demo for trying it out."],"whoFor":"Developers who need to pull text out of images, and anyone curious to try OCR through the demo.","useWithoutCoding":"Developers only","keywords":["ocr","text from image","scan","read text","photo to text"],"rating":2.5,"tags":["Research-backed"],"owner":{"name":"Jaided AI","githubUrl":"https://github.com/JaidedAI"},"license":"Apache-2.0","stars":30085,"contributors":129,"monthlyDownloads":1927066,"lastPushedAt":"2025-12-05T12:23:12Z","sources":[{"site":"Research paper","title":"Character Region Awareness for Text Detection (CRAFT)","url":"https://arxiv.org/abs/1904.01941","date":"2019-04-01"},{"site":"Research paper","title":"An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition (CRNN)","url":"https://arxiv.org/abs/1507.05717","date":"2015-07-01"},{"site":"Hacker News","title":"EasyOCR: Ready-to-use OCR with 40 languages","url":"https://news.ycombinator.com/item?id=23768869","date":"2020-07-08"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"feast","name":"Feast","repo":"feast-dev/feast","githubUrl":"https://github.com/feast-dev/feast","homepage":"https://feast.dev/","pageUrl":"/repo/feast","category":"Running AI at scale","tagline":"A feature store that keeps the data machine-learning models use consistent between training and live use.","whatItDoes":["Machine-learning models learn from \"features\", prepared pieces of data such as a customer's average order size. Feast stores these features and serves the same ones both when a model is trained and when it makes live predictions.","It keeps historical data for training and a fast store for real-time use, and helps avoid a common mistake where future information leaks into training data.","It connects to existing data systems and has an experimental web interface for exploring your data."],"whoFor":"Machine-learning platform teams and data engineers.","useWithoutCoding":"Developers only","keywords":["feature store","mlops","machine learning data","real-time predictions","data engineering"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Feast","githubUrl":"https://github.com/feast-dev"},"license":"Apache-2.0","stars":7337,"contributors":438,"monthlyDownloads":219702,"lastPushedAt":"2026-10-18T14:32:22Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Server","Cloud"],"hardware":"Made for servers or data centres","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"learn-harness-engineering","name":"Learn Harness Engineering","repo":"walkinglabs/learn-harness-engineering","githubUrl":"https://github.com/walkinglabs/learn-harness-engineering","homepage":"https://walkinglabs.github.io/learn-harness-engineering/","pageUrl":"/repo/learn-harness-engineering","category":"Learning resources","tagline":"A hands-on course on setting up the rules, tools and checks that keep AI coding agents reliable.","whatItDoes":["An AI coding agent's \"harness\" is everything around the AI model: its instructions, tools, workspace, memory and the checks on its work. This course teaches how to design that setup so agents work more reliably.","It mixes lectures with projects, such as building automated loops where one AI does the work and another checks it. It also breaks down how well-known tools, including Claude Code and Codex, build their own harnesses. It's available in 15 languages and includes a ready-made skill to set up a harness for your own project."],"whoFor":"Developers who use AI coding agents and want to get more dependable results.","useWithoutCoding":"Yes","keywords":["ai agents","course","coding agents","claude code","tutorial"],"rating":2.5,"tags":["Fast-rising"],"owner":{"name":"walkinglab","githubUrl":"https://github.com/walkinglabs"},"license":"MIT","stars":20781,"contributors":33,"monthlyDownloads":null,"lastPushedAt":"2026-10-01T04:30:39Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Pick your language and start with the first lecture in the repository.","Work through the hands-on projects using your own AI coding agent."],"officialDownload":null},{"slug":"daft","name":"Daft","repo":"Eventual-Inc/Daft","githubUrl":"https://github.com/Eventual-Inc/Daft","homepage":"https://daft.ai/","pageUrl":"/repo/daft","category":"Running AI at scale","tagline":"A fast data engine for processing images, audio, video and tables for AI, from a laptop up to big clusters.","whatItDoes":["Daft is a data processing engine for AI work. It handles images, audio, video and AI embeddings (numbers that capture meaning) alongside ordinary table data.","It can run AI steps on data at large scale, such as AI prompts, embeddings and classification, using OpenAI, Transformers or your own models. You write Python, and it uses Rust underneath for speed.","You can start on one computer and scale up to clusters. The README says it collects anonymous usage data, which you can switch off."],"whoFor":"Data and AI engineers preparing large amounts of mixed data.","useWithoutCoding":"Developers only","keywords":["data processing","big data","multimodal","pipelines"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Eventual","githubUrl":"https://github.com/Eventual-Inc"},"license":"Apache-2.0","stars":5807,"contributors":197,"monthlyDownloads":1368953,"lastPushedAt":"2026-10-19T00:29:52Z","sources":[{"site":"Hacker News","title":"Daft: Distributed DataFrame for Python","url":"https://news.ycombinator.com/item?id=39548130","date":"2024-02-29"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"openllmetry","name":"OpenLLMetry","repo":"traceloop/openllmetry","githubUrl":"https://github.com/traceloop/openllmetry","homepage":"https://www.traceloop.com/openllmetry","pageUrl":"/repo/openllmetry","category":"Running AI at scale","tagline":"Lets developers see what their AI app is doing behind the scenes, using standard monitoring tools.","whatItDoes":["When an app uses AI models, it helps to see each request, how long it took and what came back. OpenLLMetry adds this kind of tracking, called observability, to AI apps. It is built on OpenTelemetry, a widely used standard for monitoring software.","Because it uses that standard, the data can go to many existing monitoring services, such as Datadog, Grafana or New Relic. It is made by Traceloop, and it records calls to AI providers and vector databases."],"whoFor":"Developers running AI apps in production who want to monitor and debug them.","useWithoutCoding":"Developers only","keywords":["llm monitoring","observability","tracing","opentelemetry","ai app debugging"],"rating":2.5,"tags":["New this week"],"owner":{"name":"traceloop from ServiceNow","githubUrl":"https://github.com/traceloop"},"license":"Apache-2.0","stars":7501,"contributors":117,"monthlyDownloads":1785651,"lastPushedAt":"2026-10-13T05:51:56Z","sources":[{"site":"Hacker News","title":"Show HN: OpenLLMetry – OpenTelemetry-based observability for LLMs","url":"https://news.ycombinator.com/item?id=37843907","date":"2023-10-11"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"cog","name":"Cog","repo":"replicate/cog","githubUrl":"https://github.com/replicate/cog","homepage":"https://cog.run/","pageUrl":"/repo/cog","category":"Running AI at scale","tagline":"Packages AI models into ready-to-run containers so they're easier to put online.","whatItDoes":["Cog helps researchers turn an AI model into a standard container, a sealed package that runs the same way anywhere. You describe the model's setup in a simple settings file and its inputs and outputs in Python.","Cog then builds the package, sorts out tricky graphics-card software versions, and adds a web interface so other programs can send it requests.","The result can run on your own servers or on Replicate, the company that makes Cog."],"whoFor":"Machine learning researchers and engineers who need to ship models to production.","useWithoutCoding":"Developers only","keywords":["deploy ai model","docker","model packaging","machine learning","replicate"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Replicate","githubUrl":"https://github.com/replicate"},"license":"Apache-2.0","stars":9490,"contributors":94,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T16:47:56Z","sources":[{"site":"Hacker News","title":"Cog: Containers for Machine Learning","url":"https://news.ycombinator.com/item?id=31105507","date":"2022-04-21"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux","Windows","Server","Cloud"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"recommenders","name":"Recommenders","repo":"recommenders-team/recommenders","githubUrl":"https://github.com/recommenders-team/recommenders","homepage":"https://recommenders-team.github.io/recommenders/intro.html","pageUrl":"/repo/recommenders","category":"Learning resources","tagline":"Worked examples and best practices for building recommendation systems, like \"you might also like\" features.","whatItDoes":["Recommendation systems suggest products, films or articles based on what people liked before. This project collects step-by-step notebooks on preparing data, building models, measuring results and putting them into use.","It also includes a Python library with ready-made versions of many methods. It is part of the Linux Foundation's AI & Data group."],"whoFor":"Data scientists, students and developers learning to build recommendation features.","useWithoutCoding":"Developers only","keywords":["recommendation system","recommendations","machine learning","tutorial"],"rating":2.5,"tags":[],"owner":{"name":"Recommenders team ","githubUrl":"https://github.com/recommenders-team"},"license":"MIT","stars":21956,"contributors":154,"monthlyDownloads":7685,"lastPushedAt":"2026-10-18T20:29:41Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Windows","Mac"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"coremltools","name":"Core ML Tools","repo":"apple/coremltools","githubUrl":"https://github.com/apple/coremltools","homepage":"https://coremltools.readme.io/","pageUrl":"/repo/coremltools","category":"Developer building blocks","tagline":"Apple's tools for converting AI models into the format used by apps on iPhone, iPad and Mac.","whatItDoes":["Core ML is Apple's system for running AI models inside apps on its devices. Core ML Tools is a Python package that converts models made with popular tools such as PyTorch, TensorFlow or scikit-learn into Core ML format.","It can also read, edit and optimise Core ML models, and on a Mac check that a converted model gives the right results. The converted model is then added to an app in Xcode."],"whoFor":"Developers who want to put AI models into iPhone, iPad or Mac apps.","useWithoutCoding":"Developers only","keywords":["core ml","iphone ai","convert model","apple","on-device ai"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Apple","githubUrl":"https://github.com/apple"},"license":"BSD-3-Clause","stars":5435,"contributors":238,"monthlyDownloads":1112079,"lastPushedAt":"2026-09-30T16:18:33Z","sources":[{"site":"Hacker News","title":"Core ML Community Tools","url":"https://news.ycombinator.com/item?id=15406237","date":"2017-10-05"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"awesome-claude-code","name":"Awesome Claude Code","repo":"hesreallyhim/awesome-claude-code","githubUrl":"https://github.com/hesreallyhim/awesome-claude-code","homepage":null,"pageUrl":"/repo/awesome-claude-code","category":"Learning resources","tagline":"A hand-picked list of guides, add-ons and tools for Claude Code, Anthropic's AI coding assistant.","whatItDoes":["This is a curated list of resources for Claude Code. It points to beginner guides, skills, plug-ins, status lines, memory tools, security tools and more, each with a short description.","The list is organised by topic, with a \"Start Here\" section for newcomers. Its maintainer says it is not affiliated with Anthropic."],"whoFor":"Anyone learning or extending Claude Code, from beginners to experienced users.","useWithoutCoding":"Yes","keywords":["claude code","resources","guides","plugins","list"],"rating":2.5,"tags":[],"owner":{"name":"Really Him","githubUrl":"https://github.com/hesreallyhim"},"license":"NOASSERTION","stars":55972,"contributors":16,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:27:43Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Browse the list on its GitHub page, starting with the Start Here section.","Pick a guide, add-on or tool that fits what you want to do with Claude Code."],"officialDownload":null},{"slug":"stable-diffusion-cpp","name":"stable-diffusion.cpp","repo":"leejet/stable-diffusion.cpp","githubUrl":"https://github.com/leejet/stable-diffusion.cpp","homepage":null,"pageUrl":"/repo/stable-diffusion-cpp","category":"Images & video","tagline":"A lightweight program for making AI images and videos on your own computer, using many popular models.","whatItDoes":["stable-diffusion.cpp runs image-generation models, the kind of AI that makes pictures from a text description, directly on your own computer. It is written in plain C and C++ with no extra software needed, in the same style as the popular llama.cpp project.","It supports a long list of image models, including Stable Diffusion, FLUX, Qwen Image and Z-Image, plus several video models. It can also edit existing images and has a built-in web interface.","It works on Windows, Mac and Linux with many kinds of graphics cards, and has settings to reduce memory use."],"whoFor":"Hobbyists and developers who want to generate AI images locally without heavy software.","useWithoutCoding":"With some setup","keywords":["ai image generator","stable diffusion","text to image","offline","flux"],"rating":2.5,"tags":["New this week"],"owner":{"name":"leejet","githubUrl":"https://github.com/leejet"},"license":"MIT","stars":7723,"contributors":120,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T10:25:34Z","sources":[{"site":"Hacker News","title":"Stable Diffusion in C/C++","url":"https://news.ycombinator.com/item?id=37187663","date":"2023-08-19"}],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Mac","Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Download the ready-made program for your computer from the project's releases page.","Download an image model file, such as Stable Diffusion.","Run the program with a text prompt to create your first image."],"officialDownload":"https://github.com/leejet/stable-diffusion.cpp/releases"},{"slug":"nullclaw","name":"NullClaw","repo":"nullclaw/nullclaw","githubUrl":"https://github.com/nullclaw/nullclaw","homepage":"https://nullclaw.io/","pageUrl":"/repo/nullclaw","category":"AI agents","tagline":"A tiny, self-contained AI assistant program designed to run even on very cheap, low-power hardware.","whatItDoes":["NullClaw is the engine for a personal AI assistant that can act on its own. It is a single small program written in the Zig language, and its makers say it uses very little memory and starts almost instantly, so it fits on cheap single-board computers.","It connects to many AI providers and chat channels, can use tools, keep memory, run helper agents and handle voice. It includes safety features such as sandboxing and encrypted secrets.","A separate companion project offers a simpler setup screen, still in testing."],"whoFor":"Tinkerers and developers who want a lightweight, self-hosted AI assistant, including on small devices.","useWithoutCoding":"With some setup","keywords":["personal ai assistant","lightweight","raspberry pi","self-hosted","autonomous assistant"],"rating":2.5,"tags":["New this week"],"owner":{"name":"null-ai","githubUrl":"https://github.com/nullclaw"},"license":"MIT","stars":8132,"contributors":111,"monthlyDownloads":null,"lastPushedAt":"2026-10-08T10:01:11Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Install the ready-made NullClaw program using the package manager the README recommends, or build it from source.","Follow the project's installation and configuration guides to connect an AI provider and a chat channel."],"officialDownload":null},{"slug":"pyro","name":"Pyro","repo":"pyro-ppl/pyro","githubUrl":"https://github.com/pyro-ppl/pyro","homepage":"http://pyro.ai/","pageUrl":"/repo/pyro","category":"Developer building blocks","tagline":"A Python library for probabilistic programming: building AI models that reason about uncertainty.","whatItDoes":["Pyro is a code library for probabilistic programming, a way of building models that deal with chance and uncertainty rather than giving a single fixed answer.","It is built on PyTorch, a popular AI framework, and its makers say it can represent any probability model while scaling to large datasets. It offers simple building blocks for experts who want fine control.","Pyro was first developed at Uber AI and is now maintained by community contributors, including a team at the Broad Institute. It is a Linux Foundation project."],"whoFor":"Researchers and data scientists who build statistical and probabilistic AI models in Python.","useWithoutCoding":"Developers only","keywords":["probabilistic programming","bayesian","statistics","pytorch","uncertainty"],"rating":2.5,"tags":["New this week"],"owner":{"name":"pyro-ppl","githubUrl":"https://github.com/pyro-ppl"},"license":"Apache-2.0","stars":9066,"contributors":163,"monthlyDownloads":609562,"lastPushedAt":"2026-10-05T18:42:13Z","sources":[{"site":"Hacker News","title":"Pyro: PyTorch-Based Deep Universal Probabilistic Programming","url":"https://news.ycombinator.com/item?id=15619634","date":"2017-11-03"},{"site":"Hacker News","title":"Pyro: A universal, probablistic programming language","url":"https://news.ycombinator.com/item?id=36903862","date":"2023-07-28"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"tabby","name":"Tabby","repo":"TabbyML/tabby","githubUrl":"https://github.com/TabbyML/tabby","homepage":"https://tabbyml.com/","pageUrl":"/repo/tabby","category":"Coding assistants","tagline":"A self-hosted AI coding assistant that suggests code as you type, without sending it to the cloud.","whatItDoes":["Tabby is an AI coding assistant that a company or individual runs on their own server. Its makers describe it as an open-source alternative to GitHub Copilot that you host yourself.","It suggests code as you type and offers a chat panel inside popular code editors such as VS Code, JetBrains IDEs and Vim. It can use your team's own code and documents as context to give more relevant answers.","It doesn't need a separate database or cloud service, and its makers say it works on consumer graphics cards. It includes team management, usage reports and sign-in options for organisations."],"whoFor":"Developers and engineering teams who want AI coding help while keeping their code on their own machines.","useWithoutCoding":"With some setup","keywords":["copilot alternative","code completion","self-hosted","private","coding assistant"],"rating":2.5,"tags":[],"owner":{"name":"TabbyML","githubUrl":"https://github.com/TabbyML"},"license":"NOASSERTION","stars":33917,"contributors":118,"monthlyDownloads":null,"lastPushedAt":"2026-06-30T20:38:02Z","sources":[{"site":"Hacker News","title":"Show HN: Tabby – A self-hosted GitHub Copilot","url":"https://news.ycombinator.com/item?id=35470915","date":"2023-04-06"},{"site":"Hacker News","title":"Tabby: Self-hosted AI coding assistant","url":"https://news.ycombinator.com/item?id=42675725","date":"2025-01-12"}],"checkedByPerson":false,"cost":"Free","runsOn":["Server","Mac","Cloud"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Start a Tabby server on a computer with a graphics card, for example with Docker.","Install the Tabby extension for your code editor, such as VS Code, Vim or IntelliJ.","Connect the extension to your server and get code suggestions as you type."],"officialDownload":null},{"slug":"paddlespeech","name":"PaddleSpeech","repo":"PaddlePaddle/PaddleSpeech","githubUrl":"https://github.com/PaddlePaddle/PaddleSpeech","homepage":"https://paddlespeech.readthedocs.io/","pageUrl":"/repo/paddlespeech","category":"Speech & audio","tagline":"A toolkit that turns speech into text, text into speech, and translates spoken English into Chinese.","whatItDoes":["PaddleSpeech is a collection of speech tools built on PaddlePaddle, a deep-learning platform from Baidu. It can write out what was said in a recording, read text aloud in natural-sounding voices, and translate English speech into Chinese text.","It also handles related jobs: adding punctuation to raw transcripts, recognising who is speaking, spotting wake words and sorting sounds into types. It is especially strong on Chinese, including mixed Chinese and English.","It can be used from the command line or run as a server, including live streaming recognition and speech. The project won a best demo award at a research conference in 2022."],"whoFor":"Developers and researchers building speech features, especially for Chinese-language products.","useWithoutCoding":"Developers only","keywords":["speech to text","text to speech","transcription","chinese","voice"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"PaddlePaddle","githubUrl":"https://github.com/PaddlePaddle"},"license":"Apache-2.0","stars":12694,"contributors":164,"monthlyDownloads":null,"lastPushedAt":"2026-08-12T01:07:51Z","sources":[{"site":"Research paper","title":"PaddleSpeech: An Easy-to-Use All-in-One Speech Toolkit (NAACL 2022 best demo paper)","url":"https://arxiv.org/abs/2205.12007","date":"2022-05-01"},{"site":"Research paper","title":"ERNIE-SAT speech and text model (paper linked in the README)","url":"https://arxiv.org/abs/2211.03545","date":"2022-11-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Windows","Mac"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"claudian","name":"Claudian","repo":"YishenTu/claudian","githubUrl":"https://github.com/YishenTu/claudian","homepage":null,"pageUrl":"/repo/claudian","category":"Documents & knowledge","tagline":"Puts AI agents like Claude Code and Codex inside the Obsidian notes app, so they can read and edit your notes.","whatItDoes":["Claudian is a plugin for Obsidian, a popular note-taking app. It brings AI coding agents, such as Claude Code, Codex and OpenCode, into your vault (your folder of notes).","The agent can read, write, search and organise your notes, and carry out multi-step tasks. You can also select text and ask the AI to edit it in place, with a preview of the changes.","Other features include reusable prompts and skills, mentioning specific notes with @, several chat tabs, and connecting outside tools."],"whoFor":"Obsidian users who want an AI assistant that works directly with their notes.","useWithoutCoding":"With some setup","keywords":["obsidian","notes","claude code","writing assistant","plugin"],"rating":2.5,"tags":[],"owner":{"name":"Yishen Tu","githubUrl":"https://github.com/YishenTu"},"license":"MIT","stars":15721,"contributors":45,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:45:54Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install an AI coding tool such as Claude Code or Codex, with a subscription or API account.","In Obsidian, open Settings, then Community plugins, and search for Claudian to install it.","Enable the plugin and open Claudian from the ribbon icon."],"officialDownload":null},{"slug":"azure-search-openai-demo","name":"RAG chat app with Azure OpenAI and Azure AI Search","repo":"Azure-Samples/azure-search-openai-demo","githubUrl":"https://github.com/Azure-Samples/azure-search-openai-demo","homepage":"https://azure.microsoft.com/products/search","pageUrl":"/repo/azure-search-openai-demo","category":"Documents & knowledge","tagline":"A sample ChatGPT-style app that answers questions about your own documents using Microsoft Azure services.","whatItDoes":["This is a sample app from Microsoft showing how to build a chat assistant that answers questions from your own documents. The method is called RAG: the app first finds relevant passages, then the AI writes an answer from them.","It shows citations and its reasoning for each answer, and includes sample company documents so you can try it straight away. Optional extras include voice input and output and user logins.","It runs on paid Azure cloud services, and the README warns it is a showcase that needs extra security work before real use."],"whoFor":"Developers and IT teams exploring document chat assistants on Microsoft Azure.","useWithoutCoding":"Developers only","keywords":["chat with documents","azure openai","company knowledge chatbot","rag"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Azure Samples","githubUrl":"https://github.com/Azure-Samples"},"license":"MIT","stars":7784,"contributors":116,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T12:54:29Z","sources":[{"site":"Hacker News","title":"PowerShell is open sourced and is available on Linux","url":"https://news.ycombinator.com/item?id=12313179","date":"2016-08-18"},{"site":"Hacker News","title":"Microsoft unveils Majorana 1 quantum processor","url":"https://news.ycombinator.com/item?id=43104071","date":"2025-02-19"}],"checkedByPerson":false,"cost":"Mainly a paid service","runsOn":["Cloud"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"flash-linear-attention","name":"Flash Linear Attention","repo":"fla-org/flash-linear-attention","githubUrl":"https://github.com/fla-org/flash-linear-attention","homepage":"https://github.com/fla-org/flash-linear-attention","pageUrl":"/repo/flash-linear-attention","category":"AI models & research","tagline":"Fast, ready-to-use building blocks for new kinds of AI model architectures.","whatItDoes":["Flash Linear Attention is a library of efficient, ready-to-train building blocks for modern AI sequence models, including linear attention, sparse attention and state space models.","It provides hardware-efficient implementations that researchers can drop into their own models.","The implementations are meant to work across different hardware and are verified on common graphics cards."],"whoFor":"AI researchers and engineers experimenting with new model architectures.","useWithoutCoding":"Developers only","keywords":["model architecture","attention","research","sequence models","deep learning"],"rating":2.5,"tags":["New this week"],"owner":{"name":"FLA","githubUrl":"https://github.com/fla-org"},"license":"MIT","stars":5945,"contributors":167,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T22:48:24Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Server"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"awesome-n8n-templates","name":"Awesome n8n Templates","repo":"enescingoz/awesome-n8n-templates","githubUrl":"https://github.com/enescingoz/awesome-n8n-templates","homepage":"https://n8n.partnerlinks.io/h1pwwf5m4toe","pageUrl":"/repo/awesome-n8n-templates","category":"App builders & workflows","tagline":"Hundreds of free, ready-made automation workflows for n8n, covering email, chat apps, documents and AI tasks.","whatItDoes":["n8n is an automation tool where you connect apps together in visual workflows. This collection offers hundreds of ready-made workflow files you can import into it.","They cover services such as Gmail, Telegram, Slack, Discord, WhatsApp, Google Drive, Notion and OpenAI. Uses include AI chatbots, email sorting, social media posting, document processing and AI research helpers.","The README advises reviewing, configuring and testing each workflow before you use it."],"whoFor":"People who use n8n, or want to, and would rather start from a working example than build from scratch.","useWithoutCoding":"With some setup","keywords":["automation templates","n8n","workflow","no-code","email automation"],"rating":2.5,"tags":[],"owner":{"name":"Enes Cingöz","githubUrl":"https://github.com/enescingoz"},"license":"NOASSERTION","stars":26008,"contributors":61,"monthlyDownloads":null,"lastPushedAt":"2026-09-12T13:00:32Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Sign up for n8n Cloud or set up your own copy of n8n.","Download a template file and import it in n8n from the Workflows menu.","Add your login details for each connected service, then switch the workflow on."],"officialDownload":null},{"slug":"text-to-cad","name":"text-to-cad","repo":"earthtojake/text-to-cad","githubUrl":"https://github.com/earthtojake/text-to-cad","homepage":"https://www.texttocad.dev/","pageUrl":"/repo/text-to-cad","category":"3D & design","tagline":"Lets an AI assistant design 3D parts from a description, ready for 3D printing or manufacturing.","whatItDoes":["CAD (computer-aided design) software is used to design physical objects. text-to-cad is a plugin that lets AI assistants such as Claude Code, Codex, Cursor or Gemini create 3D models on your computer and save them in common file types for 3D printing and manufacturing.","It can also check whether a design can actually be made, create engineering drawings, and connect to 3D printing, sheet metal and CNC machining services. It includes a viewer for looking at the models.","By default it sends anonymous usage stats and crash reports. Its makers say these never include your files, paths or prompts, and you can turn them off."],"whoFor":"Makers, engineers and hobbyists who design physical parts and use AI assistants.","useWithoutCoding":"With some setup","keywords":["3d printing","cad","3d model","design parts","stl"],"rating":2.5,"tags":["Fast-rising"],"owner":{"name":"earthtojake","githubUrl":"https://github.com/earthtojake"},"license":"MIT","stars":21464,"contributors":29,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T20:34:37Z","sources":[{"site":"Hacker News","title":"Text-to-CAD","url":"https://news.ycombinator.com/item?id=47970497","date":"2026-05-01"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Ask your AI agent, such as Claude Code or Codex, to install text-to-cad from its GitHub page.","Describe the part you want, then ask the agent to show you the 3D model."],"officialDownload":null},{"slug":"edge-tts","name":"edge-tts","repo":"rany2/edge-tts","githubUrl":"https://github.com/rany2/edge-tts","homepage":"https://pypi.org/project/edge-tts/","pageUrl":"/repo/edge-tts","category":"Speech & audio","tagline":"Turns text into spoken audio files using the voices from Microsoft Edge's read-aloud feature.","whatItDoes":["edge-tts lets you use the online text-to-speech voices that Microsoft Edge uses for reading pages aloud, without opening the Edge browser. You give it text and it saves an MP3 file, plus optional subtitles.","There are many voices in many languages, and you can change the speed, volume and pitch. It can also play the speech straight away.","It is an unofficial tool that talks to Microsoft's online service, so your text is sent to Microsoft and it only works while that service allows it. It can be used from the command line or inside Python programs."],"whoFor":"Hobbyists and developers who want free, natural-sounding narration for videos, audiobooks or apps.","useWithoutCoding":"With some setup","keywords":["text to speech","read aloud","narration","voices","mp3"],"rating":2.5,"tags":["Widely used","New this week"],"owner":{"name":"rany2","githubUrl":"https://github.com/rany2"},"license":"NOASSERTION","stars":12318,"contributors":22,"monthlyDownloads":7788357,"lastPushedAt":"2026-10-14T09:30:53Z","sources":[{"site":"Hacker News","title":"Edge TTS","url":"https://news.ycombinator.com/item?id=42800321","date":"2025-01-23"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install Python, then install edge-tts with Python's package installer.","Type your text into the edge-tts command and choose a voice to save it as an audio file."],"officialDownload":null},{"slug":"tokscale","name":"Tokscale","repo":"junhoyeo/tokscale","githubUrl":"https://github.com/junhoyeo/tokscale","homepage":"https://tokscale.ai/","pageUrl":"/repo/tokscale","category":"Add-ons for AI coding tools","tagline":"Tracks how many tokens and how much money you spend across AI coding assistants, with charts.","whatItDoes":["Tokscale is a command-line tool and dashboard that adds up your token use (the units AI services charge by) and costs across many AI coding assistants. These include Claude Code, Codex, OpenCode, Gemini CLI and GitHub Copilot.","It reads the usage records these tools keep on your computer and shows daily, hourly and per-model summaries.","There is also an optional public leaderboard; you can choose to submit your usage data to it."],"whoFor":"People who use several AI coding tools and want to watch their usage and spending.","useWithoutCoding":"With some setup","keywords":["token usage","ai costs","claude code","usage tracker"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Junho Yeo","githubUrl":"https://github.com/junhoyeo"},"license":"MIT","stars":5710,"contributors":172,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T06:34:04Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Open a terminal on the computer where you use your AI coding tools.","Run Tokscale to see your usage summaries.","Only submit to the public leaderboard if you want your usage shared."],"officialDownload":null},{"slug":"voltagent","name":"VoltAgent","repo":"VoltAgent/voltagent","githubUrl":"https://github.com/VoltAgent/voltagent","homepage":"https://voltagent.dev/","pageUrl":"/repo/voltagent","category":"AI agents","tagline":"A TypeScript toolkit and console for building, running and monitoring AI agents.","whatItDoes":["VoltAgent helps developers build AI agents, programs that use an AI model to carry out tasks with tools. It has two parts: an open-source code framework, and a console called VoltOps for watching and managing agents once they are running.","The framework covers memory so agents remember past context, tools, multi-step workflows, teams of agents led by a supervisor, voice, and safety checks. It can look things up in your own documents before answering, and lets you switch between AI providers by changing settings.","The VoltOps console is offered as a cloud service or to run yourself."],"whoFor":"JavaScript and TypeScript developers building AI agents for products or internal tools.","useWithoutCoding":"Developers only","keywords":["ai agents","typescript","multi-agent","agent framework"],"rating":2.5,"tags":["New this week"],"owner":{"name":"VoltAgent","githubUrl":"https://github.com/VoltAgent"},"license":"MIT","stars":10827,"contributors":72,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T17:38:41Z","sources":[{"site":"Hacker News","title":"Show HN: VoltAgent – Open-Source Observability-First TS AI Agent Framework","url":"https://news.ycombinator.com/item?id=43888290","date":"2025-05-04"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"metaflow","name":"Metaflow","repo":"Netflix/metaflow","githubUrl":"https://github.com/Netflix/metaflow","homepage":"https://metaflow.org/","pageUrl":"/repo/metaflow","category":"Running AI at scale","tagline":"A framework for building, running and deploying AI and machine learning systems.","whatItDoes":["Metaflow is a framework that helps data scientists and engineers build and manage real AI and machine learning projects, from first experiments to running in production.","It offers a friendly Python way to track experiments, scale work up onto cloud computers with many processors or graphics cards, and deploy finished workflows.","It was first built at Netflix and is now also supported by Outerbounds."],"whoFor":"Data scientists and engineers building and running machine learning systems.","useWithoutCoding":"Developers only","keywords":["machine learning","mlops","pipelines","data science","deployment"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Netflix, Inc.","githubUrl":"https://github.com/Netflix"},"license":"Apache-2.0","stars":10307,"contributors":152,"monthlyDownloads":453536,"lastPushedAt":"2026-10-16T09:19:53Z","sources":[{"site":"Hacker News","title":"Metaflow: Build, Manage and Deploy AI/ML Systems","url":"https://news.ycombinator.com/item?id=44586530","date":"2025-07-16"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux","Cloud","Server"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"vit-pytorch","name":"vit-pytorch","repo":"lucidrains/vit-pytorch","githubUrl":"https://github.com/lucidrains/vit-pytorch","homepage":null,"pageUrl":"/repo/vit-pytorch","category":"AI models & research","tagline":"Code versions of the Vision Transformer and many related image-recognition AI designs, for researchers to experiment with.","whatItDoes":["The Vision Transformer (ViT) is an AI design that recognises what's in a picture by cutting it into small patches and processing them the way language models process words. This project provides a clean version of it written with PyTorch, a popular AI programming toolkit.","Beyond the original, it includes many later variations from research papers, each with a short summary of the idea and example code. Some aim to train faster, handle images of different sizes, work with video or 3D data, or learn without labelled examples.","It contains model code only, not trained models; the README points to other projects for ready-trained versions."],"whoFor":"AI researchers, students and engineers working on image recognition.","useWithoutCoding":"Developers only","keywords":["vision transformer","image classification","computer vision","research","pytorch"],"rating":2.5,"tags":["Research-backed"],"owner":{"name":"Phil Wang","githubUrl":"https://github.com/lucidrains"},"license":"MIT","stars":25552,"contributors":29,"monthlyDownloads":910233,"lastPushedAt":"2026-10-13T13:38:41Z","sources":[{"site":"Research paper","title":"Distillation for vision transformers (paper covered in the README)","url":"https://arxiv.org/abs/2012.12877","date":"2020-12-01"},{"site":"Research paper","title":"Simplified ViT, a follow-up from the original authors (paper covered in the README)","url":"https://arxiv.org/abs/2205.01580","date":"2022-05-01"},{"site":"Research paper","title":"NaViT, images of mixed sizes in one batch (paper covered in the README)","url":"https://arxiv.org/abs/2307.06304","date":"2023-07-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"autograd","name":"Autograd","repo":"HIPS/autograd","githubUrl":"https://github.com/HIPS/autograd","homepage":null,"pageUrl":"/repo/autograd","category":"Developer building blocks","tagline":"A Python library that automatically works out the maths needed to train neural networks and other models.","whatItDoes":["Autograd automatically calculates derivatives, the measure of how a result changes when its inputs change, for ordinary Python and NumPy code. This is the core maths behind training neural networks.","It handles loops, if-statements and other normal code, and can take derivatives of derivatives. Its main intended use is gradient-based optimisation, a step-by-step way of improving a model.","The README includes examples such as simple neural networks and a fluid simulation."],"whoFor":"Researchers and programmers who write their own machine learning or optimisation code in Python.","useWithoutCoding":"Developers only","keywords":["derivatives","neural network","numpy","machine learning maths"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Formerly: Harvard Intelligent Probabilistic Systems Group -- Now at Princeton","githubUrl":"https://github.com/HIPS"},"license":"MIT","stars":7544,"contributors":71,"monthlyDownloads":3182160,"lastPushedAt":"2026-10-12T17:50:18Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"adversarial-robustness-toolbox","name":"Adversarial Robustness Toolbox (ART)","repo":"Trusted-AI/adversarial-robustness-toolbox","githubUrl":"https://github.com/Trusted-AI/adversarial-robustness-toolbox","homepage":"https://adversarial-robustness-toolbox.readthedocs.io/en/latest/","pageUrl":"/repo/adversarial-robustness-toolbox","category":"AI testing & safety","tagline":"A Python toolkit for testing how AI models hold up against attacks, and for defending them.","whatItDoes":["ART is a library for machine-learning security. It helps developers and researchers check how AI models can be fooled or misused, and add defences.","It covers four kinds of threat: tricking a model with altered inputs, corrupting its training data, copying a model, and working out private information from it. It includes both attack methods for testing and defence methods for protection, for so-called red and blue teams.","It works with the main machine-learning frameworks and with images, tables, audio and video. It is hosted by the Linux Foundation's AI & Data group."],"whoFor":"AI security researchers and teams who need to test and harden their machine-learning models.","useWithoutCoding":"Developers only","keywords":["ai security","adversarial attacks","model robustness","red team"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Trusted-AI","githubUrl":"https://github.com/Trusted-AI"},"license":"MIT","stars":6279,"contributors":147,"monthlyDownloads":null,"lastPushedAt":"2026-10-08T15:38:37Z","sources":[{"site":"Hacker News","title":"Library for Machine Learning Security Evasion, Poisoning, Extraction, Inference","url":"https://news.ycombinator.com/item?id=29642132","date":"2021-12-21"}],"checkedByPerson":true,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"langextract","name":"LangExtract","repo":"google/langextract","githubUrl":"https://github.com/google/langextract","homepage":"https://pypi.org/project/langextract/","pageUrl":"/repo/langextract","category":"Developer building blocks","tagline":"Pulls key facts out of long text, like clinical notes or reports, and shows exactly where each one came from.","whatItDoes":["LangExtract is a Python library that uses AI language models to pick out specific information from messy text. You describe what you want with instructions and a few examples, such as medication names and doses in a doctor's note.","Each fact it finds is linked to its exact spot in the original text, so you can check it. It can create an interactive web page that highlights everything it found, and it is designed to handle very long documents.","It works with Google's Gemini models, other cloud models and local models through Ollama. Its makers note that accuracy depends on the model, the task and how clearly you write the instructions."],"whoFor":"Developers and researchers who need to turn large amounts of text into organised data.","useWithoutCoding":"Developers only","keywords":["extract information","text to data","document analysis","gemini","structured data"],"rating":2.5,"tags":[],"owner":{"name":"Google","githubUrl":"https://github.com/google"},"license":"Apache-2.0","stars":38972,"contributors":28,"monthlyDownloads":359295,"lastPushedAt":"2026-10-17T07:27:52Z","sources":[{"site":"Hacker News","title":"LangExtract: Python library for extracting structured data from language models","url":"https://news.ycombinator.com/item?id=44735059","date":"2025-07-30"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"agents-towards-production","name":"Agents Towards Production","repo":"NirDiamant/agents-towards-production","githubUrl":"https://github.com/NirDiamant/agents-towards-production","homepage":"https://diamant-ai.com/","pageUrl":"/repo/agents-towards-production","category":"Learning resources","tagline":"Hands-on tutorials for turning a prototype AI agent into a reliable product that real users can depend on.","whatItDoes":["This is a collection of code-first tutorials on building AI agents that work in real products, not just demos. It has 28 tutorials.","Topics include memory, web search, deployment with Docker, security guardrails, monitoring, scaling on GPUs and getting several agents to work together. Several tutorials were contributed by companies that make tools in these areas."],"whoFor":"Developers and engineering teams who are moving AI agents from experiments into production.","useWithoutCoding":"Developers only","keywords":["ai agents tutorial","production","deployment","langgraph","rag"],"rating":2.5,"tags":[],"owner":{"name":"Nir Diamant","githubUrl":"https://github.com/NirDiamant"},"license":"NOASSERTION","stars":21728,"contributors":27,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T15:17:00Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"terax","name":"Terax","repo":"crynta/terax-ai","githubUrl":"https://github.com/crynta/terax-ai","homepage":"https://terax.app/","pageUrl":"/repo/terax","category":"Coding assistants","tagline":"A small, fast coding workspace that combines a terminal, code editor and AI helper in one app.","whatItDoes":["Terax is a desktop app for programmers that puts a terminal, a code editor, a file browser, Git tools and a web preview in one window. Its makers say it takes up only a few megabytes, has no telemetry and needs no account.","Its AI side panel can plan work, read and edit files, and run commands after you approve them. It can also suggest code as you type and launch Claude Code in a terminal.","You bring your own key for providers such as OpenAI, Anthropic or Gemini, or point it at a local model through Ollama or LM Studio."],"whoFor":"Programmers who want a lightweight, terminal-centred workspace with built-in AI help.","useWithoutCoding":"Yes","keywords":["ai code editor","terminal","coding assistant","local ai coding"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Crynta","githubUrl":"https://github.com/crynta"},"license":"Apache-2.0","stars":9327,"contributors":84,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T10:59:13Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the installer for your computer from the project's releases page.","Open Settings, then AI, and paste an API key for your chosen provider, or point it at a local model app such as Ollama or LM Studio."],"officialDownload":"https://github.com/crynta/terax-ai/releases"},{"slug":"claude-code-game-studios","name":"Claude Code Game Studios","repo":"Donchitos/Claude-Code-Game-Studios","githubUrl":"https://github.com/Donchitos/Claude-Code-Game-Studios","homepage":null,"pageUrl":"/repo/claude-code-game-studios","category":"Add-ons for AI coding tools","tagline":"Turns Claude Code into an organised team of AI specialists that helps you design and build a video game.","whatItDoes":["This add-on sets up Claude Code, Anthropic's AI coding assistant, to work like a game studio. Instead of one general helper, you get dozens of specialised AI roles, such as creative director, game designer, programmers, artists, audio and quality testing.","They're arranged like a real studio, with directors, department leads and specialists. It includes commands for each stage of making a game, document templates for game design, and automatic checks that catch mistakes early.","Its makers say you still make every decision; the team's job is to ask the right questions and keep the project organised. It's designed for engines such as Godot, Unity and Unreal."],"whoFor":"Solo and indie game developers who use Claude Code and want more structure in their projects.","useWithoutCoding":"With some setup","keywords":["game development","indie games","claude code","godot","unity"],"rating":2.5,"tags":["Fast-rising"],"owner":{"name":"Donchitos","githubUrl":"https://github.com/Donchitos"},"license":"MIT","stars":26825,"contributors":1,"monthlyDownloads":null,"lastPushedAt":"2026-10-08T08:21:47Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Linux","Windows"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install Git, Python and Claude Code on your computer.","Copy this project as a template into a new folder and open Claude Code there.","Run its start skill and answer its questions about your game idea."],"officialDownload":null},{"slug":"nocobase","name":"NocoBase","repo":"nocobase/nocobase","githubUrl":"https://github.com/nocobase/nocobase","homepage":"https://www.nocobase.com/","pageUrl":"/repo/nocobase","category":"App builders & workflows","tagline":"Build business apps like CRMs and internal tools with a visual no-code editor, with AI agents helping.","whatItDoes":["NocoBase is a platform for building business systems, such as customer databases, project trackers and internal tools, without writing code. You design data, pages, workflows and permissions in a visual, what-you-see-is-what-you-get editor.","AI coding agents such as Claude Code, Cursor and Codex can also build on it through its own command-line tool and skills. Its makers say people and AI can share the work: AI creates data models and pages, and people refine them by hand.","It is self-hosted and has an online demo."],"whoFor":"Businesses and teams who need custom internal software, and developers who build it for them.","useWithoutCoding":"With some setup","keywords":["no-code","crm","internal tools","business apps","low-code"],"rating":2.5,"tags":[],"owner":{"name":"NocoBase","githubUrl":"https://github.com/nocobase"},"license":"NOASSERTION","stars":24615,"contributors":110,"monthlyDownloads":19601,"lastPushedAt":"2026-10-19T01:44:21Z","sources":[{"site":"Hacker News","title":"Nocobase, on prem Notion for creating production-ready apps","url":"https://news.ycombinator.com/item?id=40486307","date":"2024-05-26"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Try the online demo to see the editor before installing anything.","Install the NocoBase command-line tool and create a NocoBase app.","Build data models, pages and workflows visually, or with an AI coding agent."],"officialDownload":null},{"slug":"astron-agent","name":"Astron Agent","repo":"iflytek/astron-agent","githubUrl":"https://github.com/iflytek/astron-agent","homepage":"http://astron.ai/","pageUrl":"/repo/astron-agent","category":"App builders & workflows","tagline":"A platform for companies to build AI agents and automated workflows that connect to their business systems.","whatItDoes":["Astron Agent is a platform for building agentic workflows, meaning AI-powered processes that plan and take actions step by step. It is made by iFLYTEK.","It brings together workflow design, AI model management, tool connections through MCP and RPA, software robots that work other programs like a person would. Teams can collaborate on building agents.","Its makers say it is built for large organisations, can run in a high-availability setup, and may be used commercially under its Apache 2.0 license."],"whoFor":"Businesses and IT teams building AI automations for internal systems.","useWithoutCoding":"With some setup","keywords":["ai workflow","automation","enterprise","rpa","low code"],"rating":2.5,"tags":["New this week"],"owner":{"name":"iFLYTEK","githubUrl":"https://github.com/iflytek"},"license":"Apache-2.0","stars":8913,"contributors":88,"monthlyDownloads":null,"lastPushedAt":"2026-10-14T07:25:39Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Server"],"hardware":"Made for servers or data centres","privacy":null,"needsApiKey":false,"firstSteps":["Install Docker and start Astron Agent with the Docker Compose files in the project.","Open the web interface in your browser and sign in.","Build your first agent workflow."],"officialDownload":null},{"slug":"cc-haha","name":"cc-haha","repo":"NanmiCoder/cc-haha","githubUrl":"https://github.com/NanmiCoder/cc-haha","homepage":"https://cchaha.ai/","pageUrl":"/repo/cc-haha","category":"Coding assistants","tagline":"A desktop app that puts Claude Code-style AI coding agents in a visual workspace with tabs, reviews and remote access.","whatItDoes":["cc-haha is a desktop workbench for AI coding agents in the style of Claude Code, for Mac, Windows and Linux. Instead of working only in a text terminal, you get tabs for multiple sessions, search across past conversations, a file-by-file view of code changes that can be undone, a built-in browser preview, and on-screen approval of risky actions.","You can pick your AI model: sign in with Claude, ChatGPT or Grok accounts, use presets for providers like DeepSeek, Kimi and GLM, or run local models through LM Studio or Ollama. Other features include teams of cooperating agents, scheduled tasks, image generation, a skills marketplace, \"computer use\" (letting the agent operate other apps), optional desktop pets, and remote control from a phone or chat apps like Telegram, WeChat and Slack.","The README is mainly in Chinese."],"whoFor":"Developers, especially Chinese-speaking ones, who want a graphical workspace for AI coding agents.","useWithoutCoding":"With some setup","keywords":["claude code","desktop app","coding agent","ai workspace","gui"],"rating":2.5,"tags":[],"owner":{"name":"程序员阿江-Relakkes","githubUrl":"https://github.com/NanmiCoder"},"license":"NOASSERTION","stars":15062,"contributors":43,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T15:48:47Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the desktop installer for your computer from the project's releases page.","On first launch, choose your AI provider, API key and default model in settings.","Open a project and start your first coding session."],"officialDownload":"https://github.com/NanmiCoder/cc-haha/releases"},{"slug":"awesome-ai-apps","name":"Awesome AI Apps","repo":"Arindam200/awesome-ai-apps","githubUrl":"https://github.com/Arindam200/awesome-ai-apps","homepage":"https://dub.sh/nebius","pageUrl":"/repo/awesome-ai-apps","category":"Learning resources","tagline":"A large collection of example AI apps and tutorials, from simple chatbots to voice and research agents.","whatItDoes":["Awesome AI Apps is a collection of more than a hundred example projects that show how to build apps with AI language models. Each one is a working example developers can study and adapt.","The examples are grouped into starter agents, simple agents, voice assistants, agents that use outside tools, agents with memory, apps that answer questions from documents, advanced agents and fine-tuning (teaching a model new skills). There are also video tutorials."],"whoFor":"Developers learning to build AI apps by example.","useWithoutCoding":"Developers only","keywords":["ai app examples","tutorials","ai agents","chatbot","learn"],"rating":2.5,"tags":[],"owner":{"name":"Arindam Majumder ","githubUrl":"https://github.com/Arindam200"},"license":"MIT","stars":16396,"contributors":38,"monthlyDownloads":null,"lastPushedAt":"2026-10-09T17:26:25Z","sources":[{"site":"Hacker News","title":"Show HN: I made an open-source Bitly alternative","url":"https://news.ycombinator.com/item?id=32939407","date":"2022-09-22"}],"checkedByPerson":false,"cost":null,"runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"claude-skills","name":"Claude Code Skills & Plugins","repo":"alirezarezvani/claude-skills","githubUrl":"https://github.com/alirezarezvani/claude-skills","homepage":"https://alirezarezvani.medium.com/","pageUrl":"/repo/claude-skills","category":"Add-ons for AI coding tools","tagline":"A large library of ready-made skills that give AI coding assistants know-how in many work areas.","whatItDoes":["Skills are instruction packs that give an AI assistant expertise it doesn't have out of the box. This collection includes hundreds of them, each with step-by-step instructions, small helper scripts and reference documents.","They cover engineering, marketing, product management, compliance, research, business operations, finance and executive-style advice. Its makers say they work with Claude Code, Codex, Gemini CLI, Cursor and other coding tools."],"whoFor":"People who use AI coding assistants for a wide range of work, not only programming.","useWithoutCoding":"Developers only","keywords":["claude skills","plugins","marketing","productivity","templates"],"rating":2.5,"tags":["Fast-rising"],"owner":{"name":"Alireza Rezvani","githubUrl":"https://github.com/alirezarezvani"},"license":"MIT","stars":28370,"contributors":49,"monthlyDownloads":null,"lastPushedAt":"2026-08-30T09:46:16Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["In Claude Code, add this project's marketplace, then install the skill packs you want.","For other AI tools, copy a skill folder into that tool's skills folder.","Ask your AI assistant for help in that area, such as marketing or project planning."],"officialDownload":null},{"slug":"hypit","name":"Hypit","repo":"hypit-ai/hypit","githubUrl":"https://github.com/hypit-ai/hypit","homepage":"https://hypit.ai/","pageUrl":"/repo/hypit","category":"Images & video","tagline":"Lets AI coding assistants recreate a video's style and structure with your own words, footage and effects.","whatItDoes":["Hypit gives AI coding assistants such as Claude Code and Codex a way to make videos. You give it an example video, and your assistant rebuilds it as a reusable recipe covering the footage, captions, extra clips (called B-roll) and effects, all timed to the spoken words.","You can then change the people, script and clips, or produce many versions at once. You don't have to start from a video: you can use templates or just describe what you want.","Hypit itself is free, but your AI assistant and any AI image or video services you use have their own accounts and costs."],"whoFor":"Content creators and marketers who make short social videos and use AI coding assistants.","useWithoutCoding":"With some setup","keywords":["video","social media","short video","captions","content creation"],"rating":2.5,"tags":["Fast-rising"],"owner":{"name":"Hypit.AI","githubUrl":"https://github.com/hypit-ai"},"license":"NOASSERTION","stars":23545,"contributors":23,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T08:45:06Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install the Hypit skill into an AI coding agent such as Claude Code or Codex.","Ask the agent to clone a video you provide, or describe the video you want.","The AI model services you choose may charge for generating footage."],"officialDownload":null},{"slug":"pdfmathtranslate","name":"PDFMathTranslate","repo":"PDFMathTranslate/PDFMathTranslate","githubUrl":"https://github.com/PDFMathTranslate/PDFMathTranslate","homepage":"https://pdf2zh.com/","pageUrl":"/repo/pdfmathtranslate","category":"Documents & knowledge","tagline":"Translates scientific PDF papers into another language while keeping the formulas, charts and layout intact.","whatItDoes":["PDFMathTranslate translates whole PDF documents, especially science papers, and keeps the original look: maths formulas, charts, tables of contents and notes stay in place. It can produce a side-by-side bilingual version.","You can choose from several translation services, including Google, DeepL, OpenAI and local models through Ollama. It supports many languages, including English, Chinese, Japanese, Korean and Russian.","It comes as a free online service, a Windows app, a command-line tool, a Docker image and add-ons for apps such as Zotero, a reference manager."],"whoFor":"Students, researchers and anyone who needs to read technical papers in another language.","useWithoutCoding":"Yes","keywords":["translate pdf","scientific papers","bilingual","math formulas","zotero"],"rating":2.5,"tags":[],"owner":{"name":"PDF Math Translate","githubUrl":"https://github.com/PDFMathTranslate"},"license":"AGPL-3.0","stars":37635,"contributors":59,"monthlyDownloads":8019,"lastPushedAt":"2026-10-19T01:41:44Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Web browser","Server"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Try the public free online service without installing anything.","On Windows, download the ZIP file from the releases page, unzip it and double-click the program."],"officialDownload":null},{"slug":"paddlenlp","name":"PaddleNLP","repo":"PaddlePaddle/PaddleNLP","githubUrl":"https://github.com/PaddlePaddle/PaddleNLP","homepage":"https://paddlenlp.readthedocs.io/","pageUrl":"/repo/paddlenlp","category":"Training & fine-tuning","tagline":"A toolkit for training, shrinking and running large language models on the PaddlePaddle deep learning framework.","whatItDoes":["PaddleNLP is a development kit for large language models (LLMs), the kind of AI behind chatbots. It is built on PaddlePaddle, a deep learning framework, and its main README is in Chinese, with an English version available.","It covers the full journey: training models from scratch, fine-tuning them on your own data, compressing them so they need less memory, and running them quickly. It supports model families such as Llama, Qwen, DeepSeek, ChatGLM, Mistral and Gemma.","It works on many kinds of AI chips, including NVIDIA graphics cards and several Chinese-made accelerators. It also includes PP-UIE, a model for pulling key facts out of long documents."],"whoFor":"AI engineers and companies who build, adapt and deploy large language models, especially on PaddlePaddle.","useWithoutCoding":"Developers only","keywords":["large language model","fine-tuning","model training","chinese ai","information extraction"],"rating":2.5,"tags":["New this week"],"owner":{"name":"PaddlePaddle","githubUrl":"https://github.com/PaddlePaddle"},"license":"Apache-2.0","stars":12977,"contributors":382,"monthlyDownloads":null,"lastPushedAt":"2026-05-23T02:54:28Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Server"],"hardware":"Made for servers or data centres","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"mcp-go-sdk","name":"MCP Go SDK","repo":"modelcontextprotocol/go-sdk","githubUrl":"https://github.com/modelcontextprotocol/go-sdk","homepage":"https://modelcontextprotocol.io/","pageUrl":"/repo/mcp-go-sdk","category":"Developer building blocks","tagline":"The official Go toolkit for building MCP servers and clients that connect AI to tools.","whatItDoes":["This is the official software development kit for MCP (Model Context Protocol) in the Go programming language. MCP is a standard way to give AI assistants access to tools and data.","It lets developers build MCP servers, which offer tools to AI, and MCP clients, which use them. It also includes support for sign-in using OAuth. The README says it is maintained with Google."],"whoFor":"Go developers building tools or apps that work with AI assistants.","useWithoutCoding":"Developers only","keywords":["mcp","golang","ai tools","sdk"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Model Context Protocol","githubUrl":"https://github.com/modelcontextprotocol"},"license":"NOASSERTION","stars":5241,"contributors":176,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T16:15:00Z","sources":[{"site":"Hacker News","title":"Zero-Touch OAuth for MCP","url":"https://news.ycombinator.com/item?id=48592163","date":"2026-06-18"},{"site":"Hacker News","title":"New MCP Roadmap","url":"https://news.ycombinator.com/item?id=49399591","date":"2026-08-22"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"claude-seo","name":"Claude SEO","repo":"AgriciDaniel/claude-seo","githubUrl":"https://github.com/AgriciDaniel/claude-seo","homepage":null,"pageUrl":"/repo/claude-seo","category":"Add-ons for AI coding tools","tagline":"Adds website SEO checks to Claude Code, so it can audit a site and suggest ways to rank better.","whatItDoes":["SEO (search engine optimisation) is the work of helping a website show up in search results. Claude SEO is a plugin for Claude Code, Anthropic's AI coding assistant, that runs many specialised checks on a site.","It covers technical problems, content quality, structured data that search engines read, local and international search, online shops, and how well a site works with AI search tools. It can run many checks at the same time and produce reports.","Its makers say every recommendation explains what it is based on and how you would know if it didn't work. Optional extensions add live data from outside SEO services."],"whoFor":"SEO agencies, consultants and in-house marketers who use Claude Code.","useWithoutCoding":"With some setup","keywords":["seo","website audit","search ranking","marketing","claude code"],"rating":2.5,"tags":[],"owner":{"name":"Agrici Daniel","githubUrl":"https://github.com/AgriciDaniel"},"license":"MIT","stars":19201,"contributors":30,"monthlyDownloads":null,"lastPushedAt":"2026-10-04T23:41:12Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Linux","Windows"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install Claude Code on your computer.","Add the Claude SEO plugin from inside Claude Code and run its setup step.","Ask it to audit your website by giving it the site's address."],"officialDownload":null},{"slug":"flyte","name":"Flyte","repo":"flyteorg/flyte","githubUrl":"https://github.com/flyteorg/flyte","homepage":"https://flyte.org/","pageUrl":"/repo/flyte","category":"Running AI at scale","tagline":"Runs machine-learning pipelines, AI models and agents reliably across many computers, written in Python.","whatItDoes":["Flyte is a tool for organising and running large computing jobs, especially machine-learning work. Developers write each step as an ordinary Python function, and Flyte runs the steps, in parallel where possible, across a cluster of computers.","It can also put trained models online so other programs can use them, and it is designed to run AI agents dependably over long periods.","It is part of the LF AI & Data Foundation. Its makers say an open-source backend for the newest version is coming, and a ready-to-use backend is available today from the company Union.ai."],"whoFor":"Data and machine-learning engineers who run training pipelines, models or agents at scale.","useWithoutCoding":"Developers only","keywords":["ml pipelines","workflow","orchestration","kubernetes","mlops"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Flyte","githubUrl":"https://github.com/flyteorg"},"license":"Apache-2.0","stars":7727,"contributors":348,"monthlyDownloads":182604,"lastPushedAt":"2026-10-16T20:33:01Z","sources":[{"site":"Hacker News","title":"Want to get started with LLMs? Here's what you need to know","url":"https://news.ycombinator.com/item?id=37858369","date":"2023-10-12"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud"],"hardware":"Made for servers or data centres","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"worktrunk","name":"Worktrunk","repo":"max-sixty/worktrunk","githubUrl":"https://github.com/max-sixty/worktrunk","homepage":"https://worktrunk.dev/","pageUrl":"/repo/worktrunk","category":"Add-ons for AI coding tools","tagline":"Makes it easy to run several AI coding agents side by side on the same project.","whatItDoes":["AI coding agents like Claude Code and Codex can work on long tasks alone, so some people run several at once. Git, the tool programmers use to track code changes, has a feature called worktrees that gives each agent its own copy of the project. Worktrunk is a command-line tool that makes worktrees much simpler to use.","It also adds extras such as AI-written commit messages, AI summaries of each branch, one-step merging and shared build files so each copy doesn't need to rebuild everything."],"whoFor":"Programmers who run multiple AI coding agents in parallel.","useWithoutCoding":"Developers only","keywords":["git worktree","parallel ai agents","claude code","codex","developer tool"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Maximilian Roos","githubUrl":"https://github.com/max-sixty"},"license":"NOASSERTION","stars":9295,"contributors":80,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T09:31:05Z","sources":[{"site":"Hacker News","title":"Worktrunk – CLI for Git worktree management","url":"https://news.ycombinator.com/item?id=46427055","date":"2025-12-29"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux","Windows"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"distilly","name":"Distilly","repo":"titanwings/distilly","githubUrl":"https://github.com/titanwings/distilly","homepage":null,"pageUrl":"/repo/distilly","category":"Add-ons for AI coding tools","tagline":"Turns messages and documents about a person into a profile an AI agent can use to reflect their way of working.","whatItDoes":["Distilly takes materials you provide, such as messages, documents or interviews, and builds a \"Person Profile\" of how someone thinks, decides and writes. The profile is packaged as a skill that AI agents such as Claude Code or Codex can use.","Its makers give examples like keeping a departing colleague's know-how. They say it builds on observable material and does not claim to clone the person. It was formerly called Colleague Skill."],"whoFor":"People and teams who use AI agents and want to capture someone's expertise or style.","useWithoutCoding":"Developers only","keywords":["persona","ai skill","knowledge capture","agent"],"rating":2.5,"tags":["Fast-rising","Research-backed"],"owner":{"name":"Tianyi Zhou","githubUrl":"https://github.com/titanwings"},"license":"MIT","stars":25760,"contributors":4,"monthlyDownloads":null,"lastPushedAt":"2026-10-13T05:57:17Z","sources":[{"site":"Research paper","title":"COLLEAGUE.SKILL technical report","url":"https://arxiv.org/abs/2605.31264","date":"2026-05-01"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Open a supported AI agent tool, such as Claude Code, and ask it to install Distilly.","Give it materials about the person, such as messages, documents or pasted text.","Let Distilly build a Person Profile skill that your agent can use."],"officialDownload":null},{"slug":"open-swe","name":"Open SWE","repo":"langchain-ai/open-swe","githubUrl":"https://github.com/langchain-ai/open-swe","homepage":"https://www.langchain.com/blog/open-swe-an-open-source-framework-for-internal-coding-agents","pageUrl":"/repo/open-swe","category":"Coding assistants","tagline":"An AI coding agent that works in the background to investigate code, make changes and open pull requests.","whatItDoes":["Open SWE is an AI agent for software teams. Given an issue or a request, it looks into the codebase, makes changes in a separate safe workspace called a sandbox, checks its work, and delivers the result as a pull request, a proposed change for people to review.","It can also review other people's pull requests, learn a project's review preferences, watch automated tests and respond to feedback. Work can be started from a dashboard, from GitHub, or from Slack.","Its makers, LangChain, say it is under active development and may change. They note that deploying it as-is needs access to a private beta of one of their managed services, so others may need to adapt the code."],"whoFor":"Engineering teams who want an automated coding agent connected to GitHub and Slack.","useWithoutCoding":"Developers only","keywords":["coding agent","pull requests","automated code review","github bot"],"rating":2.5,"tags":["New this week"],"owner":{"name":"LangChain","githubUrl":"https://github.com/langchain-ai"},"license":"MIT","stars":11036,"contributors":63,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T23:53:32Z","sources":[{"site":"Hacker News","title":"Deep Agents","url":"https://news.ycombinator.com/item?id=44761299","date":"2025-08-01"},{"site":"Hacker News","title":"Open SWE: An open-source asynchronous coding agent","url":"https://news.ycombinator.com/item?id=44838733","date":"2025-08-08"}],"checkedByPerson":false,"cost":null,"runsOn":["Cloud"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Read the installation guide in the project's documentation folder.","Note that the standard setup needs access to a private beta service, so you may need to adapt it to your own setup."],"officialDownload":null},{"slug":"webllm","name":"WebLLM","repo":"mlc-ai/web-llm","githubUrl":"https://github.com/mlc-ai/web-llm","homepage":"https://webllm.mlc.ai/","pageUrl":"/repo/webllm","category":"Run AI on your computer","tagline":"Runs AI chat models directly inside your web browser, with no server needed.","whatItDoes":["WebLLM runs language models inside a web browser, using your computer's graphics chip through a technology called WebGPU. Because nothing goes to a server, conversations stay on your device.","Developers can build it into websites using the same commands as OpenAI's service. You can try it at the WebLLM Chat demo site."],"whoFor":"Web developers building private AI features, and anyone curious to try in-browser AI.","useWithoutCoding":"Developers only","keywords":["browser ai","offline","private","webgpu","local llm"],"rating":2.5,"tags":["Research-backed"],"owner":{"name":"mlc-ai","githubUrl":"https://github.com/mlc-ai"},"license":"Apache-2.0","stars":19280,"contributors":56,"monthlyDownloads":467555,"lastPushedAt":"2026-10-11T13:30:43Z","sources":[{"site":"Research paper","title":"WebLLM: A High-Performance In-Browser LLM Inference Engine","url":"https://arxiv.org/abs/2412.15803","date":"2024-12-01"},{"site":"Hacker News","title":"Web LLM – WebGPU Powered Inference of Large Language Models","url":"https://news.ycombinator.com/item?id=35583349","date":"2023-04-15"},{"site":"Hacker News","title":"WebLLM: high-performance in-browser LLM inference engine","url":"https://news.ycombinator.com/item?id=49536411","date":"2026-09-02"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Try the WebLLM Chat website to chat with an AI model running inside your browser."],"officialDownload":null},{"slug":"100-days-of-ml-code-chinese","name":"100 Days of ML Code (Chinese)","repo":"MLEveryday/100-Days-Of-ML-Code","githubUrl":"https://github.com/MLEveryday/100-Days-Of-ML-Code","homepage":null,"pageUrl":"/repo/100-days-of-ml-code-chinese","category":"Learning resources","tagline":"A day-by-day machine learning course in Chinese, with explanations and practice code.","whatItDoes":["This is a Chinese-language machine learning course based on Avik Jain's English \"100 Days of ML Code\" project. Each day has a goal, explanations and code or exercises.","It runs from data preparation and simple prediction models through decision trees and neural networks to image recognition and clustering. The README says days 1 to 54 are written so far, and days 55 to 100 are not yet done."],"whoFor":"Chinese-speaking beginners who want a structured, hands-on path into machine learning.","useWithoutCoding":"Developers only","keywords":["learn machine learning","chinese","course","python","beginner"],"rating":2.5,"tags":[],"owner":{"name":"MLEveryday","githubUrl":"https://github.com/MLEveryday"},"license":"MIT","stars":22237,"contributors":24,"monthlyDownloads":null,"lastPushedAt":"2026-10-08T12:32:52Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Follow the setup guide to install Python 3.11 or 3.12 and the course packages.","Work through the daily lessons in order, starting with Day 1."],"officialDownload":null},{"slug":"peon-ping","name":"peon-ping","repo":"PeonPing/peon-ping","githubUrl":"https://github.com/PeonPing/peon-ping","homepage":"https://www.peonping.com/","pageUrl":"/repo/peon-ping","category":"Add-ons for AI coding tools","tagline":"Plays game character voice lines and shows banners when your AI coding agent finishes or needs your attention.","whatItDoes":["AI coding agents often finish a task or wait for permission without telling you. peon-ping plays short voice lines, such as the Peon from Warcraft III, and shows an on-screen banner when that happens.","It works with Claude Code, Codex, Cursor and other tools and editors. There are many sound packs and you can create your own. It can also send notifications to your phone, and an agent can pick its own sound.","It runs on Mac, Linux and Windows, including through remote connections."],"whoFor":"People who use AI coding agents and want an alert when the agent needs them.","useWithoutCoding":"With some setup","keywords":["notifications","claude code","sound alerts","coding agent","warcraft"],"rating":2.5,"tags":["New this week"],"owner":{"name":"PeonPing","githubUrl":"https://github.com/PeonPing"},"license":"MIT","stars":5081,"contributors":178,"monthlyDownloads":null,"lastPushedAt":"2026-10-06T15:43:57Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux","Windows"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Install peon-ping using Homebrew, the installer script, or the Windows installer described in the README.","Run its setup step to connect it to your coding tools and download sound packs."],"officialDownload":null},{"slug":"apache-maka","name":"Apache Maka","repo":"apache/maka","githubUrl":"https://github.com/apache/maka","homepage":null,"pageUrl":"/repo/apache-maka","category":"AI agents","tagline":"An AI agent workspace that keeps a complete, replayable record of everything the agent did.","whatItDoes":["Maka is an agent harness: the software that lets an AI model carry out tasks using tools. Every message, tool use and permission decision is saved to a log, and the app is built from that log.","Its makers publish test results comparing it with other harnesses on the same model. Sessions, settings and records stay on your machine, and you bring the AI model: a cloud API, a local model or a gateway.","It has a desktop app, a text-based terminal app and a command-line tool. It is an \"incubating\" Apache project, meaning it is still early in joining the Apache Software Foundation."],"whoFor":"Developers and researchers who want a transparent, auditable AI agent they run themselves.","useWithoutCoding":"With some setup","keywords":["ai agent","agent workspace","local first","audit log"],"rating":2.5,"tags":["New this week"],"owner":{"name":"The Apache Software Foundation","githubUrl":"https://github.com/apache"},"license":"Apache-2.0","stars":5847,"contributors":146,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:37:46Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Get Maka from the project's downloads page, or build it from source.","On first launch, open Settings, then Models, and add a cloud API, local model or account connection.","Test the connection, choose a default model and start a task."],"officialDownload":null},{"slug":"emdash","name":"Emdash","repo":"generalaction/emdash","githubUrl":"https://github.com/generalaction/emdash","homepage":"https://emdash.com/","pageUrl":"/repo/emdash","category":"Coding assistants","tagline":"A desktop app for running several AI coding agents at once, each working on its own copy of your code.","whatItDoes":["Emdash lets you run multiple AI coding agents in parallel, such as Claude Code, Codex, Cursor or OpenCode. Each task gets its own separate working copy of the project, so you can try several fixes or features at once.","You can send in issues from tools like GitHub, Jira or Linear, review each agent's changes, and merge what works, all from one window. It also works on remote machines.","Its makers say it doesn't send your code or chats to their servers, though the agents you use may send data to their own providers."],"whoFor":"Developers who already use AI coding agents and want to manage several at once.","useWithoutCoding":"With some setup","keywords":["parallel coding agents","claude code","codex","git worktrees","desktop app"],"rating":2.5,"tags":["New this week"],"owner":{"name":"General Action","githubUrl":"https://github.com/generalaction"},"license":"Apache-2.0","stars":6027,"contributors":140,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T11:55:57Z","sources":[{"site":"Hacker News","title":"Show HN: Emdash – Open-source agentic development environment","url":"https://news.ycombinator.com/item?id=47140322","date":"2026-02-24"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the installer for your computer from the project's releases page.","Make sure at least one coding agent, such as Claude Code or Codex, is installed and signed in.","Open a project in Emdash and start a task with an agent."],"officialDownload":"https://github.com/generalaction/emdash/releases/latest"},{"slug":"mistral-rs","name":"mistral.rs","repo":"EricLBuehler/mistral.rs","githubUrl":"https://github.com/EricLBuehler/mistral.rs","homepage":null,"pageUrl":"/repo/mistral-rs","category":"Run AI on your computer","tagline":"A fast engine for running open AI models on your own machine, with a chat page and built-in tools.","whatItDoes":["mistral.rs runs open AI models, including text, image, video and audio models, on your own computer or server. It comes as a single program that can chat, serve models to other apps and run speed tests.","It offers a built-in web chat page and works like the OpenAI and Anthropic services, so existing apps can connect to it. It also has agent features such as web search and running code.","It supports Apple Silicon Macs, NVIDIA graphics cards and ordinary processors. Its makers publish benchmarks comparing its speed with other engines."],"whoFor":"Developers and enthusiasts who want to run AI models locally or on their own servers.","useWithoutCoding":"With some setup","keywords":["local ai","run llm","offline","gguf","inference engine"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Eric Buehler","githubUrl":"https://github.com/EricLBuehler"},"license":"MIT","stars":7757,"contributors":99,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:49:22Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Server"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install it on Mac, Linux or Windows using the install script described in the README.","Start it with a model and open the built-in web chat page."],"officialDownload":null},{"slug":"llm-action","name":"llm-action","repo":"liguodongiot/llm-action","githubUrl":"https://github.com/liguodongiot/llm-action","homepage":"https://www.zhihu.com/column/c_1456193767213043713","pageUrl":"/repo/llm-action","category":"Learning resources","tagline":"Chinese-language tutorials and notes on how large AI models are trained, run and put into use.","whatItDoes":["This repository collects the author's write-ups and hands-on guides about large language models, the kind of AI behind chatbots. It is written in Chinese.","Topics include training and fine-tuning (adapting a model to new data), spreading work across many computers, making models run faster or smaller, testing them, and building apps with them.","It also covers AI hardware and server setup, and includes a section of interview questions."],"whoFor":"Chinese-reading engineers and students who want practical knowledge of large-model engineering.","useWithoutCoding":"Yes","keywords":["learn llm","chinese tutorials","fine-tuning","model training"],"rating":2.5,"tags":[],"owner":{"name":"Jelly Lee","githubUrl":"https://github.com/liguodongiot"},"license":"Apache-2.0","stars":25180,"contributors":5,"monthlyDownloads":null,"lastPushedAt":"2026-10-14T14:28:31Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"awesome-langchain","name":"Awesome LangChain","repo":"kyrolabs/awesome-langchain","githubUrl":"https://github.com/kyrolabs/awesome-langchain","homepage":null,"pageUrl":"/repo/awesome-langchain","category":"Learning resources","tagline":"A curated list of tools, projects and tutorials built around the LangChain framework.","whatItDoes":["LangChain is a popular toolkit programmers use to build apps with AI language models. This project is a list of links to things built with or around LangChain.","It covers low-code tools, agents, templates, open-source projects, notebooks and videos, plus other similar frameworks. There is also a newsletter."],"whoFor":"Developers learning LangChain or looking for examples and related tools.","useWithoutCoding":"Yes","keywords":["langchain","ai tools list","llm projects","tutorials"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Kyrolabs","githubUrl":"https://github.com/kyrolabs"},"license":"CC0-1.0","stars":9569,"contributors":74,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T04:25:02Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the project page on GitHub and browse the table of contents.","Follow the links to the tools or tutorials that interest you."],"officialDownload":null},{"slug":"deepface","name":"DeepFace","repo":"serengil/deepface","githubUrl":"https://github.com/serengil/deepface","homepage":"https://www.youtube.com/watch?v=WnUVYQP4h44&list=PLsS_1RYmYQQFdWqxQggXHynP1rqaYXv_E","pageUrl":"/repo/deepface","category":"Developer building blocks","tagline":"A Python library that recognises faces and estimates age, gender, emotion and race from photos.","whatItDoes":["DeepFace is a toolkit for face recognition: checking whether two photos show the same person, or finding a face in a collection. It also analyses facial attributes, giving estimates of age, gender, emotion and race.","It wraps several well-known face-recognition models, such as FaceNet, ArcFace and VGG-Face, and handles the usual steps for you: finding the face, lining it up and comparing it. Programmers can call it with a few lines of code."],"whoFor":"Developers and researchers building apps that need to detect or compare faces.","useWithoutCoding":"Developers only","keywords":["face recognition","face detection","emotion","photo analysis"],"rating":2.5,"tags":[],"owner":{"name":"Sefik Ilkin Serengil","githubUrl":"https://github.com/serengil"},"license":"MIT","stars":23567,"contributors":104,"monthlyDownloads":74752,"lastPushedAt":"2026-10-17T11:30:45Z","sources":[{"site":"Hacker News","title":"Show HN: DeepFace – A lightweight deep face recognition library for Python","url":"https://news.ycombinator.com/item?id=42584896","date":"2025-01-03"}],"checkedByPerson":true,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"einops","name":"einops","repo":"arogozhnikov/einops","githubUrl":"https://github.com/arogozhnikov/einops","homepage":"https://einops.rocks/","pageUrl":"/repo/einops","category":"Developer building blocks","tagline":"A small coding library that makes reshaping AI data clearer and less error-prone.","whatItDoes":["AI code constantly rearranges grids of numbers called tensors. einops lets programmers describe these changes in short, readable patterns.","It works with PyTorch, JAX, TensorFlow, NumPy, MLX and others, and comes with tutorials."],"whoFor":"Programmers and researchers who write AI code.","useWithoutCoding":"Developers only","keywords":["pytorch","tensor","deep learning code"],"rating":2.5,"tags":["Widely used","New this week"],"owner":{"name":"Alex Rogozhnikov","githubUrl":"https://github.com/arogozhnikov"},"license":"MIT","stars":9623,"contributors":38,"monthlyDownloads":20655675,"lastPushedAt":"2026-08-26T08:23:21Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"clawd-on-desk","name":"Clawd on Desk","repo":"rullerzhou-afk/clawd-on-desk","githubUrl":"https://github.com/rullerzhou-afk/clawd-on-desk","homepage":"https://clawdondesk.com/","pageUrl":"/repo/clawd-on-desk","category":"Add-ons for AI coding tools","tagline":"A pixel-art desktop pet that shows what your AI coding agent is doing and tells you when it needs you.","whatItDoes":["Clawd on Desk puts a small animated crab on your screen that reacts to AI coding agents such as Claude Code, Codex, Cursor and Gemini. It looks like it's thinking, typing or juggling depending on what the agent is doing.","When an agent asks permission to do something, a card pops up so you can allow or deny it. A dashboard shows all running sessions, and you can get alerts on your phone or in Telegram, Lark or Slack.","It comes with several characters and themes, and works on Windows, Mac and Linux."],"whoFor":"People who use AI coding agents and want to step away while long tasks run.","useWithoutCoding":"Yes","keywords":["desktop pet","claude code","notifications","coding agent status"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Ruller_Lulu","githubUrl":"https://github.com/rullerzhou-afk"},"license":"AGPL-3.0","stars":6477,"contributors":125,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:15:07Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Download the installer for your computer from the project's releases page.","Add other coding tools from the settings if you use them."],"officialDownload":"https://github.com/rullerzhou-afk/clawd-on-desk/releases/latest"},{"slug":"rd-agent","name":"R&D-Agent","repo":"microsoft/RD-Agent","githubUrl":"https://github.com/microsoft/RD-Agent","homepage":"https://rdagent.azurewebsites.net/","pageUrl":"/repo/rd-agent","category":"Data science tools","tagline":"An AI agent that automates data science and machine-learning research: forming ideas, coding and testing them.","whatItDoes":["R&D-Agent from Microsoft aims to automate research and development work focused on data and AI models. The AI proposes ideas, writes code to try them, checks the results and learns from them in a loop.","It includes scenarios for data science, Kaggle competitions, finding signals for stock trading, and fine-tuning language models. Its makers report strong results on MLE-bench, a test of AI agents on machine-learning engineering tasks.","It has a web interface for watching the agent's work in real time."],"whoFor":"Data scientists and AI researchers who want to automate experiments.","useWithoutCoding":"Developers only","keywords":["data science","research automation","kaggle","ml engineering"],"rating":2.5,"tags":["Research-backed"],"owner":{"name":"Microsoft","githubUrl":"https://github.com/microsoft"},"license":"MIT","stars":14971,"contributors":40,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T19:15:22Z","sources":[{"site":"Research paper","title":"R&D-Agent technical report","url":"https://arxiv.org/abs/2505.14738","date":"2025-05-01"},{"site":"Research paper","title":"R&D-Agent-Quant","url":"https://arxiv.org/abs/2505.15155","date":"2025-05-01"},{"site":"Research paper","title":"FT-Dojo: Towards Autonomous LLM Fine-Tuning with Language Agents","url":"https://arxiv.org/abs/2603.01712","date":"2026-03-01"},{"site":"Research paper","title":"Reasoning as Gradient","url":"https://arxiv.org/abs/2603.01692","date":"2026-03-01"},{"site":"Research paper","title":"Agent² RL-Bench","url":"https://arxiv.org/abs/2604.10547","date":"2026-04-01"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Linux"],"hardware":null,"privacy":null,"needsApiKey":true,"firstSteps":["Watch the demos on the project's live demo website to see what it does.","To run it yourself, you need a Linux computer and an account with an AI provider."],"officialDownload":null},{"slug":"paddlex","name":"PaddleX","repo":"PaddlePaddle/PaddleX","githubUrl":"https://github.com/PaddlePaddle/PaddleX","homepage":"https://paddlepaddle.github.io/PaddleX/","pageUrl":"/repo/paddlex","category":"Developer building blocks","tagline":"A low-code toolkit from Baidu's PaddlePaddle with hundreds of ready AI models for text, images and documents.","whatItDoes":["PaddleX bundles more than 200 ready-trained models from Baidu's PaddlePaddle AI toolkit into ready-made pipelines. They cover tasks such as reading text from images, analysing documents, detecting objects and forecasting.","Developers can call a pipeline with a few lines of Python, or train, fine-tune and deploy models using commands or a graphical interface.","It supports many kinds of hardware, including NVIDIA graphics cards and several Chinese AI chips."],"whoFor":"Developers putting AI models into real products, especially document and image tasks.","useWithoutCoding":"Developers only","keywords":["ocr","document parsing","object detection","paddlepaddle","low-code ai"],"rating":2.5,"tags":["New this week"],"owner":{"name":"PaddlePaddle","githubUrl":"https://github.com/PaddlePaddle"},"license":"Apache-2.0","stars":6276,"contributors":130,"monthlyDownloads":null,"lastPushedAt":"2026-10-09T06:26:34Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Windows","Server"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"gorse","name":"Gorse","repo":"gorse-io/gorse","githubUrl":"https://github.com/gorse-io/gorse","homepage":"https://gorse.io/","pageUrl":"/repo/gorse","category":"Running AI at scale","tagline":"A recommendation engine that learns from user activity to suggest items each person may like.","whatItDoes":["Gorse is an open-source recommender system, the kind of software that powers \"you might also like\" suggestions. You feed it your items, users and their actions, such as likes or views, and it trains models to recommend items to each person.","It can mix several kinds of suggestions, such as newest items, similar items and what similar people liked. It can also handle text, images and video by turning them into embeddings (number codes that capture meaning).","It comes with a dashboard for editing the recommendation pipeline, monitoring the system and managing data."],"whoFor":"Developers and businesses adding personalized recommendations to a website or app.","useWithoutCoding":"With some setup","keywords":["recommendations","recommender system","personalization","suggestions"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Gorse","githubUrl":"https://github.com/gorse-io"},"license":"Apache-2.0","stars":9880,"contributors":70,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T14:23:14Z","sources":[{"site":"Hacker News","title":"Show HN: Gorse – An Out-of-the-box open-source Recommender System","url":"https://news.ycombinator.com/item?id=27866289","date":"2021-07-17"},{"site":"Hacker News","title":"How to Use AVX512 in Golang","url":"https://news.ycombinator.com/item?id=34465297","date":"2023-01-21"}],"checkedByPerson":false,"cost":"Free","runsOn":["Server"],"hardware":"Made for servers or data centres","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install Docker on your computer.","Start Gorse's beginner playground mode, which loads sample data.","Open the dashboard in your browser to see recommendations being built."],"officialDownload":null},{"slug":"gws","name":"gws (Google Workspace CLI)","repo":"googleworkspace/cli","githubUrl":"https://github.com/googleworkspace/cli","homepage":"https://developers.google.com/workspace","pageUrl":"/repo/gws","category":"Add-ons for AI coding tools","tagline":"A command-line tool that lets people and AI agents work with Gmail, Drive, Calendar, Docs and Sheets.","whatItDoes":["gws is a single command-line tool (you type commands in a terminal) for Google Workspace: Drive, Gmail, Calendar, Sheets, Docs, Chat, admin tools and more. It builds its commands automatically from Google's own list of services, so new features show up without an update.","It's designed for AI agents as well as people. Every answer comes back in a structured format that AI can read easily, and the project includes a large set of agent skills, including ready-made recipes for common Gmail, Drive, Docs, Calendar and Sheets tasks.","Setup requires a Google Cloud project for signing in. The README notes that it is not an officially supported Google product and is still under active development, so commands may change."],"whoFor":"Developers, IT admins and AI-agent builders who automate Google Workspace.","useWithoutCoding":"Developers only","keywords":["gmail","google drive","google workspace","automation","ai agent skills"],"rating":2.5,"tags":["Fast-rising"],"owner":{"name":"Google Workspace","githubUrl":"https://github.com/googleworkspace"},"license":"Apache-2.0","stars":31657,"contributors":43,"monthlyDownloads":215882,"lastPushedAt":"2026-10-06T20:23:04Z","sources":[{"site":"Hacker News","title":"Google Workspace CLI","url":"https://news.ycombinator.com/item?id=47255881","date":"2026-03-05"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Download the gws program for your computer from the GitHub releases page.","Set up a Google Cloud project and sign in with your Google account."],"officialDownload":"https://github.com/googleworkspace/cli/releases"},{"slug":"gentle-ai","name":"Gentle-AI","repo":"Gentleman-Programming/gentle-ai","githubUrl":"https://github.com/Gentleman-Programming/gentle-ai","homepage":"https://gentle-ai.gentlemanprogramming.com/","pageUrl":"/repo/gentle-ai","category":"Add-ons for AI coding tools","tagline":"Adds memory, a working method and proof of work to the AI coding agents you already use.","whatItDoes":["Gentle-AI sets up AI coding agents, such as Claude Code, Cursor, Codex, Copilot and many others, with extra abilities. Its makers say these agents normally forget everything between sessions and can't prove what they did.","It adds a memory called Engram, so the agent keeps notes about your project. It also adds a workflow that keeps small tasks light and gives bigger tasks a written plan, tests first, and review receipts that show what was checked.","It only hands work to extra helper agents when there's a clear reason, which its makers say saves time and cost."],"whoFor":"Developers who use AI coding agents every day and want them to be more consistent and trustworthy.","useWithoutCoding":"Developers only","keywords":["coding agent","memory","claude code","cursor","code review"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Gentleman-Programming","githubUrl":"https://github.com/Gentleman-Programming"},"license":"MIT","stars":7847,"contributors":95,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T03:14:37Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"lemonade","name":"Lemonade","repo":"lemonade-sdk/lemonade","githubUrl":"https://github.com/lemonade-sdk/lemonade","homepage":"https://lemonade-server.ai/","pageUrl":"/repo/lemonade","category":"Run AI on your computer","tagline":"Runs AI models for chat, coding, speech and images on your own PC's graphics chip, for free and privately.","whatItDoes":["Lemonade is a local AI server: it runs AI models on your own computer and lets other apps use them, just as they would use an online AI service. Its makers say it is free and private.","It handles chat, coding help, speech, transcription and image generation. A built-in model manager lets you browse and download models, and built-in screens let you try them. Many apps can connect to it because it speaks the same language as common AI services.","It is built by the community, with tuning from AMD engineers for AMD Ryzen AI and Radeon hardware. There are also mobile apps, and a version developers can bundle into their own software."],"whoFor":"PC owners who want private, offline AI, and developers who want to add local AI to their apps.","useWithoutCoding":"With some setup","keywords":["local ai","offline","private","amd","run models on pc"],"rating":2.5,"tags":["New this week"],"owner":{"name":"lemonade-sdk","githubUrl":"https://github.com/lemonade-sdk"},"license":"Apache-2.0","stars":5929,"contributors":139,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T23:49:11Z","sources":[{"site":"Hacker News","title":"Show HN: Lemonade: Run LLMs Locally with GPU and NPU Acceleration","url":"https://news.ycombinator.com/item?id=44955424","date":"2025-08-19"}],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Linux","Mac","Phone"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install Lemonade for your computer following the install guide for Windows, Linux or Mac.","Open the model manager to browse and download a model.","Try it in the built-in chat or image screens, or connect your favourite AI apps to it."],"officialDownload":"https://github.com/lemonade-sdk/lemonade/releases"},{"slug":"xiaohongshu-mcp","name":"xiaohongshu-mcp","repo":"xpzouying/xiaohongshu-mcp","githubUrl":"https://github.com/xpzouying/xiaohongshu-mcp","homepage":"https://www.haha.ai/xiaohongshu-mcp","pageUrl":"/repo/xiaohongshu-mcp","category":"Add-ons for AI coding tools","tagline":"Lets an AI assistant work with your Xiaohongshu (RedNote) account, such as publishing posts with pictures.","whatItDoes":["Xiaohongshu, also known as RedNote, is a Chinese social media app. This project connects it to AI assistants through MCP, a standard way to plug tools into AI apps.","After you log in to your own account, the assistant can check your login status and publish posts with titles, text and images. The README lists more features with video demos.","The README is in Chinese. It notes that new accounts may be asked to complete real-name verification, and it points non-technical users to a simpler browser-extension version."],"whoFor":"Content creators and social media managers who use Xiaohongshu and an AI assistant.","useWithoutCoding":"With some setup","keywords":["xiaohongshu","rednote","social media","posting","mcp"],"rating":2.5,"tags":[],"owner":{"name":"zy","githubUrl":"https://github.com/xpzouying"},"license":"Apache-2.0","stars":16361,"contributors":35,"monthlyDownloads":null,"lastPushedAt":"2026-10-12T04:56:03Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Download the program and its login tool for your computer from the releases page.","Run the login tool and sign in to your Xiaohongshu account.","Connect it to your AI assistant as a tool, then ask it to search or post."],"officialDownload":"https://github.com/xpzouying/xiaohongshu-mcp/releases"},{"slug":"ai-engineering-hub","name":"AI Engineering Hub","repo":"patchy631/ai-engineering-hub","githubUrl":"https://github.com/patchy631/ai-engineering-hub","homepage":"https://join.dailydoseofds.com/","pageUrl":"/repo/ai-engineering-hub","category":"Learning resources","tagline":"A large collection of hands-on tutorials and example projects for building apps with AI models.","whatItDoes":["AI Engineering Hub gathers tutorials and example projects about building with large language models, the technology behind chatbots like ChatGPT. Topics include RAG (letting AI answer from your own documents), AI agents and fine-tuning.","Projects are sorted into beginner, intermediate and advanced levels. Beginner examples include text-reading (OCR) apps and simple document chat, while advanced ones cover training and production systems.","It also points to a learning roadmap for complete beginners."],"whoFor":"Developers and students who learn best by building real AI projects.","useWithoutCoding":"Developers only","keywords":["ai tutorials","example projects","learn rag","ai agents","llm"],"rating":2.5,"tags":[],"owner":{"name":"Akshay Pachaar","githubUrl":"https://github.com/patchy631"},"license":"MIT","stars":38357,"contributors":16,"monthlyDownloads":null,"lastPushedAt":"2026-10-12T19:11:08Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Complete beginners can start with the AI Engineering Roadmap in the repository.","Then pick a beginner project, such as a simple OCR app or document chat.","Each project folder has its own setup instructions."],"officialDownload":null},{"slug":"coursera-ml-andrewng-notes","name":"Coursera-ML-AndrewNg-Notes","repo":"fengdu78/Coursera-ML-AndrewNg-Notes","githubUrl":"https://github.com/fengdu78/Coursera-ML-AndrewNg-Notes","homepage":null,"pageUrl":"/repo/coursera-ml-andrewng-notes","category":"Learning resources","tagline":"Chinese-language study notes, subtitles and code for Andrew Ng's Machine Learning course.","whatItDoes":["These are personal study notes for the Stanford Machine Learning course taught by Andrew Ng on Coursera. A learner wrote them in Chinese and also translated the course subtitles.","The course covers the basics: linear and logistic regression, neural networks, support vector machines, clustering, recommender systems and practical advice for applying machine learning. The repository includes the notes in Word, Markdown, HTML and PDF form, the original slides, Chinese-English subtitles and Python code for the exercises."],"whoFor":"Chinese-speaking students starting out in machine learning.","useWithoutCoding":"Yes","keywords":["machine learning course","andrew ng","study notes","chinese","beginner"],"rating":2.5,"tags":[],"owner":{"name":"Huang Haiguang","githubUrl":"https://github.com/fengdu78"},"license":null,"stars":37983,"contributors":12,"monthlyDownloads":null,"lastPushedAt":"2026-10-05T08:57:53Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Read the Chinese notes online, or download the PDF, Word or Markdown versions from the repository.","Follow the chapters week by week alongside the course videos."],"officialDownload":null},{"slug":"ui-tars-desktop","name":"UI-TARS Desktop and Agent TARS","repo":"bytedance/UI-TARS-desktop","githubUrl":"https://github.com/bytedance/UI-TARS-desktop","homepage":"https://agent-tars.com/","pageUrl":"/repo/ui-tars-desktop","category":"AI agents","tagline":"AI that can see your screen and use your computer or web browser to finish tasks for you.","whatItDoes":["This project contains two AI agent tools. UI-TARS Desktop is a desktop app that lets an AI model look at your screen and control the mouse and keyboard, on your own computer or a remote one, and in a web browser.","Agent TARS is a related tool that runs from the terminal or in a web page. It uses AI models that understand both pictures and text, and can connect to outside tools. An example in the README asks it to book flights on a travel website.","You need to connect it to an AI model, either one you run yourself or an online service with an account key."],"whoFor":"Tech-curious users and developers who want to try AI that operates a computer for them.","useWithoutCoding":"With some setup","keywords":["computer use","automate my computer","browser automation","ai assistant","screen control"],"rating":2.5,"tags":[],"owner":{"name":"Bytedance Inc.","githubUrl":"https://github.com/bytedance"},"license":"Apache-2.0","stars":39317,"contributors":50,"monthlyDownloads":1885,"lastPushedAt":"2026-10-09T01:29:53Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Install Node.js version 22 or newer on your computer.","Start Agent TARS from the terminal, giving it your AI provider, model and API key.","Describe a task, such as booking a hotel, and watch it work in the browser."],"officialDownload":null},{"slug":"octop","name":"Octop","repo":"TencentCloud/Octop","githubUrl":"https://github.com/TencentCloud/Octop","homepage":"https://octop.cloud/","pageUrl":"/repo/octop","category":"AI agents","tagline":"A self-hosted AI assistant for households and small teams, with a team of specialist AI helpers.","whatItDoes":["Octop is an AI assistant you run on your own machine, from Tencent Cloud. Each person gets a set of \"experts\", AI helpers with their own personality and skills, that they can switch between depending on the job.","You can chat with it through a web dashboard, desktop apps, or messaging apps such as WeChat, Telegram, Discord and Feishu. It can search your own documents, browse the web, run scheduled jobs, help in a terminal and hand coding tasks to tools like Claude Code.","Its makers say conversations, files and passwords stay on your own machine. It supports several users with separate accounts, such as members of a family."],"whoFor":"Tech-comfortable households and small teams who want a private, shared AI assistant.","useWithoutCoding":"With some setup","keywords":["self-hosted assistant","family ai","wechat bot","personal assistant","agents"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Tencent Cloud","githubUrl":"https://github.com/TencentCloud"},"license":"MIT","stars":9907,"contributors":68,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T15:10:49Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Mac","Windows","Linux","Server"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Download Octop from the project's releases page or set it up on a home computer or server.","Run its first-time setup wizard to create the admin account, then open the web dashboard to start chatting."],"officialDownload":"https://github.com/TencentCloud/Octop/releases"},{"slug":"500-ai-projects","name":"500 AI, Machine Learning, Deep Learning, Computer Vision and NLP Projects with Code","repo":"ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code","githubUrl":"https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code","homepage":null,"pageUrl":"/repo/500-ai-projects","category":"Learning resources","tagline":"A long list of links to AI practice projects with code, for learning by building.","whatItDoes":["This is a numbered list of links to collections of AI projects. Most links lead to articles or other repositories with example code.","Topics include machine learning, deep learning, computer vision (getting computers to understand images), natural language processing (working with text), chatbots and forecasting.","The author says the list is updated over time and welcomes contributions."],"whoFor":"Students and self-learners looking for project ideas to practise AI skills.","useWithoutCoding":"Yes","keywords":["ai projects","project ideas","machine learning practice","portfolio"],"rating":2.5,"tags":[],"owner":{"name":"Ashish Patel","githubUrl":"https://github.com/ashishpatel26"},"license":null,"stars":37320,"contributors":3,"monthlyDownloads":null,"lastPushedAt":"2026-09-26T00:44:47Z","sources":[{"site":"Hacker News","title":"ML, Deep learning, CV, and NLP Projects with code","url":"https://news.ycombinator.com/item?id=25673106","date":"2021-01-07"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Browse the numbered table of projects on the project's GitHub page.","Open any link to read that project and its code."],"officialDownload":null},{"slug":"maibot","name":"MaiBot (MaiSaka)","repo":"Mai-with-u/MaiBot","githubUrl":"https://github.com/Mai-with-u/MaiBot","homepage":"https://docs.mai-mai.org/","pageUrl":"/repo/maibot","category":"Chat assistants","tagline":"An AI chat companion for group chats that aims to talk like a real person rather than an assistant.","whatItDoes":["MaiSaka is a chat bot built on AI language models, made mainly for QQ group chats. Its makers describe it as a digital companion rather than a helpful assistant.","It aims to chat casually, choose when to speak and when to stay quiet, pick up group slang, and slowly learn about the people it talks with.","It has a plugin system for adding features, and the README is in Chinese and English."],"whoFor":"Chat group owners, mainly on QQ, who want a lifelike AI companion in their group.","useWithoutCoding":"With some setup","keywords":["chat bot","ai companion","qq bot","group chat ai"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Mai-with-u","githubUrl":"https://github.com/Mai-with-u"},"license":"GPL-3.0","stars":6278,"contributors":126,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T18:43:30Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Windows","Mac"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Download the latest version from the project's releases page, or use the OneKey launcher for Windows or Mac.","Follow the deployment guide in the project's documentation to connect it to your chat."],"officialDownload":"https://github.com/Mai-with-u/MaiBot/releases/"},{"slug":"ai-website-cloner-template","name":"AI Website Cloner Template","repo":"JCodesMore/ai-website-cloner-template","githubUrl":"https://github.com/JCodesMore/ai-website-cloner-template","homepage":"https://dsc.gg/jcodesmore","pageUrl":"/repo/ai-website-cloner-template","category":"Add-ons for AI coding tools","tagline":"Gives an AI coding assistant a command that rebuilds a website from its address as editable code.","whatItDoes":["This is a starter project for AI coding assistants such as Claude Code, Codex, Cursor and OpenCode. You give the assistant a web address, and it recreates that site's look and behaviour as a new, editable website project.","The assistant works in four steps. It maps the site's pages, studies how they look on desktop and mobile, builds matching parts with working buttons and menus, and then checks the result. Afterwards you can ask the assistant for changes."],"whoFor":"Web developers who want a fast starting point for rebuilding or redesigning a site.","useWithoutCoding":"Developers only","keywords":["website copy","rebuild website","web design","claude code","nextjs"],"rating":2.5,"tags":["Fast-rising"],"owner":{"name":"JCodesMore","githubUrl":"https://github.com/JCodesMore"},"license":"MIT","stars":36971,"contributors":13,"monthlyDownloads":null,"lastPushedAt":"2026-10-05T08:07:48Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Ask your AI coding assistant to set up the template as a new project on your computer.","Give it the address of a website, such as one you own, and ask it to recreate the site."],"officialDownload":null},{"slug":"omnigent","name":"Omnigent","repo":"omnigent-ai/omnigent","githubUrl":"https://github.com/omnigent-ai/omnigent","homepage":"https://omnigent.ai/","pageUrl":"/repo/omnigent","category":"AI agents","tagline":"One control centre for running and supervising several AI coding agents from your computer, browser or phone.","whatItDoes":["Omnigent sits on top of AI coding agents such as Claude Code, Codex, Cursor and OpenCode, plus agents you define yourself. Its makers call it a \"meta-harness\": one layer that lets you swap or mix agents without starting over.","You can start a session in a terminal and continue it in a browser, the desktop app or on your phone. Agents can review each other's work, and teammates can watch or join a session live.","You can set rules so an agent pauses for your approval before risky actions, cap spending, or run agents in disposable cloud sandboxes (sealed-off computers). Its makers label it alpha, an early test version."],"whoFor":"Developers and teams who use several AI coding agents and want to coordinate and control them in one place.","useWithoutCoding":"With some setup","keywords":["ai coding agents","claude code","agent control","multi-agent"],"rating":2.5,"tags":["New this week"],"owner":{"name":"omnigent","githubUrl":"https://github.com/omnigent-ai"},"license":"Apache-2.0","stars":10880,"contributors":280,"monthlyDownloads":39359,"lastPushedAt":"2026-10-19T01:42:47Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Web browser","Phone","Cloud"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Download the macOS desktop app from the project's website, or use the one-line installer from the README.","Connect a model account, such as a Claude or ChatGPT subscription or an API key.","Start a session and choose which coding agents to work with."],"officialDownload":null},{"slug":"read-frog","name":"Read Frog","repo":"mengxi-ream/read-frog","githubUrl":"https://github.com/mengxi-ream/read-frog","homepage":"https://www.readfrog.app/","pageUrl":"/repo/read-frog","category":"Everyday tools","tagline":"A browser extension that translates web pages and video subtitles and turns new words into flashcards.","whatItDoes":["Read Frog is a language-learning extension for your web browser. It can translate whole web pages, sentences you select, and subtitles on YouTube, X and Netflix, showing the translation next to the original.","You can save words and notes you meet while reading and review them later as flashcards, scheduled to appear just before you are likely to forget them. It can also read text aloud in many voices.","It works with many AI providers, and you can create your own AI actions, such as dictionary lookups or rewriting. Some features, like transcribing videos without captions, are part of paid Pro and Ultra plans."],"whoFor":"Language learners and anyone who reads web content in another language.","useWithoutCoding":"Yes","keywords":["translate web pages","language learning","flashcards","subtitles","browser extension"],"rating":2.5,"tags":["New this week"],"owner":{"name":"MengXi","githubUrl":"https://github.com/mengxi-ream"},"license":"GPL-3.0","stars":10100,"contributors":65,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T17:40:33Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install Read Frog from your browser's extension store (Chrome, Edge or Firefox).","Open a web page or video in another language and turn on translation.","Save new words as you read and review them as flashcards."],"officialDownload":null},{"slug":"openseo","name":"OpenSEO","repo":"every-app/open-seo","githubUrl":"https://github.com/every-app/open-seo","homepage":"https://openseo.so/","pageUrl":"/repo/openseo","category":"Everyday tools","tagline":"A pay-as-you-go SEO tool for researching keywords and tracking search rankings, which your AI assistant can also use.","whatItDoes":["OpenSEO helps you improve how a website shows up in search engines (SEO, search engine optimisation). Its makers describe it as an open alternative to paid tools like Semrush and Ahrefs.","It covers keyword research, rank tracking, competitor insights, backlinks (other sites linking to yours), site audits and how visible your site is in AI answers.","It also connects to AI assistants such as ChatGPT, Claude Code or Codex through MCP, so they can use your SEO data, and it comes with ready-made skills. Instead of a subscription, you bring your own key for DataForSEO, a paid data service, and pay for what you use. A hosted version is also offered."],"whoFor":"Website owners, marketers and small businesses who want SEO data without a big subscription.","useWithoutCoding":"With some setup","keywords":["seo","keyword research","rank tracking","marketing","website traffic"],"rating":2.5,"tags":["Fast-rising"],"owner":{"name":"Every App","githubUrl":"https://github.com/every-app"},"license":"MIT","stars":24040,"contributors":20,"monthlyDownloads":null,"lastPushedAt":"2026-10-14T06:57:07Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Web browser","Cloud"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Try the hosted version on the OpenSEO website, or self-host it with Docker or Cloudflare.","Get a DataForSEO API key, which you pay for only as you use it.","Optionally connect your AI assistant using the ready-made skills."],"officialDownload":"https://openseo.so/"},{"slug":"coze-studio","name":"Coze Studio","repo":"coze-dev/coze-studio","githubUrl":"https://github.com/coze-dev/coze-studio","homepage":null,"pageUrl":"/repo/coze-studio","category":"App builders & workflows","tagline":"A visual tool for building, testing and publishing AI agents and apps with little or no code.","whatItDoes":["Coze Studio is a platform for creating AI agents and apps through visual tools. You can design workflows by connecting steps, add knowledge bases (documents the AI can draw on), plugins, databases and prompts, then test and publish the result.","It connects to AI model services such as OpenAI and Volcengine, and finished agents can be added to other apps through an API or chat toolkit. Its makers say it is the open core of their Coze development platform."],"whoFor":"Businesses and builders who want to create AI agents without writing much code.","useWithoutCoding":"With some setup","keywords":["no-code ai","build chatbot","ai agent builder","workflow"],"rating":2.5,"tags":[],"owner":{"name":"coze-dev","githubUrl":"https://github.com/coze-dev"},"license":"Apache-2.0","stars":21726,"contributors":62,"monthlyDownloads":null,"lastPushedAt":"2026-07-29T03:18:43Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Install Docker and Docker Compose, and start Docker.","Download the Coze Studio code and start it with the command for your system.","Register an account in your browser, add an AI model, then start building agents."],"officialDownload":null},{"slug":"pi-desktop","name":"PI-Desktop","repo":"vastsa/PI-Desktop","githubUrl":"https://github.com/vastsa/PI-Desktop","homepage":"https://pi-docs.aiuo.net/","pageUrl":"/repo/pi-desktop","category":"AI agents","tagline":"A desktop workspace that gives AI agents their own place to work.","whatItDoes":["PI-Desktop is a desktop app that brings your projects, AI agents, models, plug-ins and workflows into one place that stays on your computer.","It gives agents a persistent workspace of their own, separate from any single code editor or terminal, and lets you add panels, tools and background services through plug-ins.","Its makers say it is model-agnostic, so you can connect cloud models, local models such as Ollama or LM Studio, or your own gateways, and your projects stay local."],"whoFor":"People who want a dedicated desktop home for AI agents and keep projects on their own machine.","useWithoutCoding":"Yes","keywords":["ai agents","desktop app","workspace","plugins","local-first"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Lan","githubUrl":"https://github.com/vastsa"},"license":"LGPL-3.0","stars":6999,"contributors":106,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T15:16:11Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Download and install the app for your computer from the project's releases page.","Connect an AI model or provider.","Open a project and start working."],"officialDownload":"https://github.com/vastsa/PI-Desktop/releases/latest"},{"slug":"happy-llm","name":"Happy-LLM","repo":"datawhalechina/happy-llm","githubUrl":"https://github.com/datawhalechina/happy-llm","homepage":"https://datawhalechina.github.io/happy-llm/","pageUrl":"/repo/happy-llm","category":"Learning resources","tagline":"A free tutorial, in Chinese, that explains how large language models work and how to build one from scratch.","whatItDoes":["Happy-LLM is a free, step-by-step course on large language models (LLMs), the technology behind chatbots like ChatGPT. It starts from the basics of how computers handle language and builds up to how today's big models are designed and trained.","Chapters cover the Transformer design that most modern AI models use, how models are pre-trained and fine-tuned, and how to build a small model similar to LLaMA2 yourself. Later chapters look at uses like RAG (looking things up in documents) and AI agents.","The course is written in Chinese and can be read online. Small models trained in the course are available to download."],"whoFor":"Students and self-learners who read Chinese and want a deep understanding of how AI language models work.","useWithoutCoding":"Yes","keywords":["learn ai","llm tutorial","transformer","course","chinese"],"rating":2.5,"tags":[],"owner":{"name":"Datawhale","githubUrl":"https://github.com/datawhalechina"},"license":"NOASSERTION","stars":34430,"contributors":33,"monthlyDownloads":null,"lastPushedAt":"2026-08-08T17:18:48Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Follow the chapters in order, from language basics to building a small model.","Check the learning and environment guide before running any of the code."],"officialDownload":null},{"slug":"skyvern","name":"Skyvern","repo":"Skyvern-AI/skyvern","githubUrl":"https://github.com/Skyvern-AI/skyvern","homepage":"https://www.skyvern.com/","pageUrl":"/repo/skyvern","category":"AI agents","tagline":"Uses AI that can 'see' web pages to fill in forms and complete tasks on websites for you.","whatItDoes":["Skyvern automates jobs people do in a web browser, such as filling in forms, logging in, downloading files or collecting information from pages. Older automation relies on scripts tied to a page's exact layout, which break when a site changes. Skyvern instead uses AI models that look at the page much as a person would.","This lets it work on websites it has never seen and keep working when layouts change. Non-technical users can build automations in a visual, no-code workflow builder, while programmers can use it as an add-on to Playwright, a browser-automation tool, giving commands in plain language like \"click the login button\".","You can run it yourself or use the paid Skyvern Cloud service."],"whoFor":"Businesses and individuals with repetitive website tasks, and developers building browser automation.","useWithoutCoding":"With some setup","keywords":["browser automation","fill forms","rpa","web tasks","ai agent"],"rating":2.5,"tags":[],"owner":{"name":"Skyvern","githubUrl":"https://github.com/Skyvern-AI"},"license":"AGPL-3.0","stars":23226,"contributors":96,"monthlyDownloads":5856,"lastPushedAt":"2026-10-19T00:47:44Z","sources":[{"site":"Hacker News","title":"Show HN: Skyvern – Browser automation using LLMs and computer vision","url":"https://news.ycombinator.com/item?id=39706004","date":"2024-03-14"},{"site":"Hacker News","title":"Launch HN: Skyvern (YC S23) – open-source AI agent for browser automations","url":"https://news.ycombinator.com/item?id=41936745","date":"2024-10-24"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Windows","Cloud"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Try Skyvern Cloud by creating an account on its website.","Or install it on your computer with Python or Docker and add your AI provider's API key.","Describe the task you want done on a website and let it work through the steps."],"officialDownload":null},{"slug":"apify-mcp-server","name":"Apify MCP Server","repo":"apify/apify-mcp-server","githubUrl":"https://github.com/apify/apify-mcp-server","homepage":"https://mcp.apify.com/","pageUrl":"/repo/apify-mcp-server","category":"AI agents","tagline":"Lets AI assistants collect data from websites, maps, shops and social media using ready-made Apify tools.","whatItDoes":["This is an MCP server. MCP (Model Context Protocol) is a standard way to give AI assistants extra tools. This one connects your assistant to Apify, a platform of ready-made web scrapers and automation tools called Actors.","With it, an assistant can, for example, gather search results, pull details from Google Maps, read posts from social media pages or fetch any web page as text.","It works with Claude, ChatGPT, Cursor, VS Code and other MCP apps. The makers recommend their hosted version; it can also run on your own computer."],"whoFor":"People and developers who want their AI assistant to gather information from the web.","useWithoutCoding":"With some setup","keywords":["web scraping","collect data","mcp","claude","research"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Apify","githubUrl":"https://github.com/apify"},"license":"MIT","stars":11896,"contributors":51,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T15:37:39Z","sources":[],"checkedByPerson":false,"cost":"Mainly a paid service","runsOn":["Cloud","Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Create an Apify account.","In your AI app, add the hosted Apify MCP server and sign in when asked.","Ask your assistant to use an Apify tool, such as searching or reading a web page."],"officialDownload":null},{"slug":"llm","name":"LLM","repo":"simonw/llm","githubUrl":"https://github.com/simonw/llm","homepage":"https://llm.datasette.io/","pageUrl":"/repo/llm","category":"Developer building blocks","tagline":"A command-line tool for chatting with and using many different AI models from your terminal.","whatItDoes":["LLM lets you send prompts to AI models straight from the command line, the text window programmers use to type instructions. It works with models from OpenAI, Anthropic, Google and many others.","Plugins add more models, including ones that run on your own computer through tools like Ollama. Every prompt and reply can be saved in a small database so you can look back at them later.","It can also pull structured information out of text and images, create embeddings (number codes that help search by meaning), and let models use tools. It also works as a Python library."],"whoFor":"Developers, data people and curious terminal users who want one simple tool to try many AI models.","useWithoutCoding":"With some setup","keywords":["command line","chatgpt","claude","local models","prompts"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Simon Willison","githubUrl":"https://github.com/simonw"},"license":"Apache-2.0","stars":12638,"contributors":84,"monthlyDownloads":487919,"lastPushedAt":"2026-10-18T23:29:12Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install LLM with Python's package installer or with Homebrew.","Add an API key for a service like OpenAI, or install a plugin to use a model on your own computer.","Type a prompt in your terminal, or start an interactive chat."],"officialDownload":null},{"slug":"mcp-use","name":"mcp-use","repo":"mcp-use/mcp-use","githubUrl":"https://github.com/mcp-use/mcp-use","homepage":"https://manufact.com/","pageUrl":"/repo/mcp-use","category":"Developer building blocks","tagline":"A toolkit for programmers to build MCP servers and small apps that plug into ChatGPT, Claude and AI agents.","whatItDoes":["mcp-use is a TypeScript framework for building MCP servers. MCP (Model Context Protocol) is a common way for AI assistants to use outside tools and data, such as looking up the weather or reading a database.","Besides tools, it lets developers attach small interactive screens, called views, that show results inside apps like ChatGPT or Claude. It includes a starter project, a built-in inspector for testing tools in a browser, and deployment help."],"whoFor":"Developers who want to build tools, plugins or connectors for AI assistants.","useWithoutCoding":"Developers only","keywords":["mcp server","chatgpt plugin","claude connector","ai tools"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Manufact","githubUrl":"https://github.com/mcp-use"},"license":"MIT","stars":10783,"contributors":58,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T01:04:46Z","sources":[{"site":"Hacker News","title":"Show HN: Mcp-use – Connect any LLM to any MCP","url":"https://news.ycombinator.com/item?id=44747229","date":"2025-07-31"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"awesome-gpt-image-2","name":"Awesome GPT-Image-2","repo":"freestylefly/awesome-gpt-image-2","githubUrl":"https://github.com/freestylefly/awesome-gpt-image-2","homepage":"https://gpt-image2.canghe.ai/","pageUrl":"/repo/awesome-gpt-image-2","category":"Images & video","tagline":"A large gallery of example prompts and templates for creating images with OpenAI's GPT-Image models.","whatItDoes":["This project collects hundreds of example images made with OpenAI's GPT-Image models, each with the full prompt used to create it. Cases cover posters, product shots, logos, charts, user interfaces and more.","It also offers reusable prompt templates that break a picture into parts, such as subject, lighting, materials and layout, so results are easier to control and repeat. There is a companion website for browsing, and a skill for AI agents.","Much of the material is in Chinese, with English and Japanese versions of the README."],"whoFor":"Designers, marketers and anyone who wants better, more consistent results from AI image tools.","useWithoutCoding":"Yes","keywords":["image prompts","ai art","poster design","gpt image","templates"],"rating":2.5,"tags":["Fast-rising"],"owner":{"name":"苍何","githubUrl":"https://github.com/freestylefly"},"license":"MIT","stars":34682,"contributors":5,"monthlyDownloads":null,"lastPushedAt":"2026-10-14T08:48:21Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Browse the gallery on the project's website or in the repository.","Copy the full prompt of an image you like.","Paste it into a tool that uses OpenAI's GPT-Image models."],"officialDownload":"https://gpt-image2.canghe.ai/"},{"slug":"x-anylabeling","name":"X-AnyLabeling","repo":"CVHub520/X-AnyLabeling","githubUrl":"https://github.com/CVHub520/X-AnyLabeling","homepage":"https://xanylabeling.com/","pageUrl":"/repo/x-anylabeling","category":"Training & fine-tuning","tagline":"A desktop app for labelling images, videos, text and 3D scans, with AI that suggests labels for you.","whatItDoes":["X-AnyLabeling is a desktop app for annotation, which means marking up data so it can be used to train AI. You can draw boxes, outlines and points on images and video, tag text, and label 3D point clouds (3D scans made of dots).","It includes many AI models that can suggest labels automatically, such as finding objects, cutting out shapes, reading text (OCR) and estimating body poses. This can save a lot of manual work.","Labels can be exported in many common formats, and the app runs on Windows, Mac and Linux, with English, Chinese, Japanese and Korean interfaces."],"whoFor":"People preparing image, video or text data to train computer-vision or other AI models.","useWithoutCoding":"With some setup","keywords":["image labeling","annotation tool","dataset","object detection"],"rating":2.5,"tags":["New this week"],"owner":{"name":"CVHub","githubUrl":"https://github.com/CVHub520"},"license":"GPL-3.0","stars":10731,"contributors":58,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T15:39:04Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Mac","Linux"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Follow the project's installation and quick-start guide to get the desktop app.","Open a folder of images or a video and start drawing labels.","Pick a built-in AI model to suggest labels automatically, then check and export them."],"officialDownload":"https://github.com/CVHub520/X-AnyLabeling/releases"},{"slug":"axonhub","name":"AxonHub","repo":"looplj/axonhub","githubUrl":"https://github.com/looplj/axonhub","homepage":"https://axonhub.onrender.com/","pageUrl":"/repo/axonhub","category":"Running AI at scale","tagline":"An AI gateway that lets apps switch between AI model providers without changing their code.","whatItDoes":["AxonHub is an AI gateway, a middle layer between your apps and AI providers. Apps written for one provider's software kit, such as OpenAI's or Anthropic's, can call models from other providers just by changing a setting.","It switches to a backup if a provider fails, spreads traffic, tracks every request and shows the cost of each one. It also has user permissions and usage limits for teams.","It is self-hosted and has a web dashboard for managing providers and prices."],"whoFor":"Developers and teams who use several AI providers and want control over cost and reliability.","useWithoutCoding":"With some setup","keywords":["ai gateway","switch ai models","api costs","load balancing","self-hosted"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Loop","githubUrl":"https://github.com/looplj"},"license":"Apache-2.0","stars":5367,"contributors":148,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T17:21:54Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Server"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"nccl","name":"NCCL","repo":"NVIDIA/nccl","githubUrl":"https://github.com/NVIDIA/nccl","homepage":"https://docs.nvidia.com/deeplearning/nccl/user-guide/docs/index.html","pageUrl":"/repo/nccl","category":"Running AI at scale","tagline":"NVIDIA's library that lets many graphics cards share data quickly, used when training large AI models.","whatItDoes":["NCCL (said \"Nickel\") is a library from NVIDIA for communication between graphics cards (GPUs). When large AI models are trained on many GPUs at once, the cards constantly need to swap and combine results, and NCCL handles that.","It is tuned for fast connections inside a machine and across networks between machines.","Official tested builds can be downloaded from NVIDIA, or developers can build it from this source code."],"whoFor":"Engineers building or running AI training on many NVIDIA GPUs.","useWithoutCoding":"Developers only","keywords":["nvidia","multi-gpu","ai training","gpu communication"],"rating":2.5,"tags":["New this week"],"owner":{"name":"NVIDIA Corporation","githubUrl":"https://github.com/NVIDIA"},"license":"NOASSERTION","stars":5174,"contributors":155,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:48:27Z","sources":[{"site":"Hacker News","title":"CUDA 11.0","url":"https://news.ycombinator.com/item?id=23772245","date":"2020-07-08"},{"site":"Hacker News","title":"CUDA Toolkit Release Notes","url":"https://news.ycombinator.com/item?id=21618774","date":"2019-11-24"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Server"],"hardware":"Made for servers or data centres","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"fluidvoice","name":"FluidVoice","repo":"altic-dev/FluidVoice","githubUrl":"https://github.com/altic-dev/FluidVoice","homepage":"https://altic.dev/fluid","pageUrl":"/repo/fluidvoice","category":"Speech & audio","tagline":"A Mac dictation app that turns your speech into text in any app, working on your computer.","whatItDoes":["FluidVoice is a voice-to-text app for macOS. Press a hotkey, speak, and your words appear in whatever app you're typing in. It shows a live preview as you talk.","You can choose from several speech models, including Whisper and Apple's built-in speech recognition. A Write Mode can write or rewrite text in any text box, and a Command Mode lets you control your Mac by voice.","Its makers say your voice and text stay on your Mac unless you choose to add a cloud AI provider. An optional local AI layer, called Fluid Intelligence, tidies up formatting; the README says this part is kept private rather than open source."],"whoFor":"Mac users who want fast, private dictation instead of typing.","useWithoutCoding":"Yes","keywords":["dictation","voice typing","speech to text","mac app","private"],"rating":2.5,"tags":["New this week"],"owner":{"name":"ALTIC","githubUrl":"https://github.com/altic-dev"},"license":"GPL-3.0","stars":12281,"contributors":47,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T18:31:48Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the latest FluidVoice release for your Mac from the project's GitHub releases page.","Give it microphone and accessibility permission when asked, then choose a hotkey.","Pick a voice model during setup and start dictating."],"officialDownload":"https://github.com/altic-dev/FluidVoice/releases"},{"slug":"artcraft","name":"ArtCraft","repo":"storytold/artcraft","githubUrl":"https://github.com/storytold/artcraft","homepage":"https://getartcraft.com/","pageUrl":"/repo/artcraft","category":"Images & video","tagline":"A desktop app for artists to compose scenes in 2D and 3D, then turn them into AI images and video.","whatItDoes":["ArtCraft is a creative app for making AI images and videos with more control than typing a prompt. Its makers call it an \"IDE for artists\", meaning a workspace with many tools in one place.","You can lay out a scene first: place backdrops and props in 3D, pose characters, set the camera, cut out backgrounds or turn a picture into a 3D object. Then you generate the final image or video from that layout.","You can also start from a text prompt, edit images by describing changes or painting over areas, and animate a still image. It works with many image and video models from different providers."],"whoFor":"Artists, designers and filmmakers who want precise, repeatable control over AI-generated pictures and video.","useWithoutCoding":"Yes","keywords":["ai art","ai video","image editing","3d scene","filmmaking"],"rating":2.5,"tags":[],"owner":{"name":"ArtCraft","githubUrl":"https://github.com/storytold"},"license":"Apache-2.0","stars":32774,"contributors":4,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T19:26:55Z","sources":[{"site":"Hacker News","title":"ArtCraft Apps – open-source Adobe compatible suite written in Rust","url":"https://news.ycombinator.com/item?id=49958850","date":"2026-10-04"},{"site":"Hacker News","title":"Open-Source Rust Alternatives to Adobe Apps","url":"https://news.ycombinator.com/item?id=50004284","date":"2026-10-08"}],"checkedByPerson":false,"cost":null,"runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Download ArtCraft from its website or the project's releases page.","Compose a scene in 2D or 3D, then use a prompt to generate images or video."],"officialDownload":"https://getartcraft.com/"},{"slug":"agent-native","name":"Agent-Native","repo":"BuilderIO/agent-native","githubUrl":"https://github.com/BuilderIO/agent-native","homepage":"https://www.agent-native.com/","pageUrl":"/repo/agent-native","category":"Developer building blocks","tagline":"A framework for building AI agent apps where the agent and the on-screen interface share the same actions and data.","whatItDoes":["Agent-Native is a TypeScript framework for building apps that combine an AI agent with a purpose-built screen. Each ability is written once as an action, and both the agent and the interface use it, so work done by one shows up in the other.","It includes agent chat, logins and permissions, memory, scheduled automations and teams of agents. Example agents cover meeting notes, slides, email, calendars, analytics and design."],"whoFor":"Developers building business apps where people and AI agents work side by side.","useWithoutCoding":"Developers only","keywords":["ai app framework","build agents","typescript","agent ui"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Builder.io","githubUrl":"https://github.com/BuilderIO"},"license":null,"stars":7431,"contributors":92,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:43:34Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"windows-mcp","name":"Windows-MCP","repo":"CursorTouch/Windows-MCP","githubUrl":"https://github.com/CursorTouch/Windows-MCP","homepage":null,"pageUrl":"/repo/windows-mcp","category":"Add-ons for AI coding tools","tagline":"Lets AI assistants such as Claude Desktop open apps, click, type and manage files on Windows.","whatItDoes":["Windows-MCP is an MCP server: a connector, using the Model Context Protocol, that gives an AI assistant new abilities. This one lets the AI control a Windows 10 or 11 computer.","The AI can open and switch apps, move the mouse, type, read what is on screen and work with files. Its makers say it works with any AI model and does not need special vision models.","There is also a special mode for working with web pages in Chrome, Edge and Firefox."],"whoFor":"Windows users and testers who want an AI assistant to carry out tasks on their PC.","useWithoutCoding":"With some setup","keywords":["windows automation","computer use","claude desktop","mcp server"],"rating":2.5,"tags":["New this week"],"owner":{"name":"CursorTouch","githubUrl":"https://github.com/CursorTouch"},"license":"MIT","stars":9477,"contributors":66,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T15:46:10Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Windows"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Install Python and the uv tool on a Windows 10 or 11 computer.","Add Windows-MCP to your AI app, such as Claude Desktop, following the README's setup steps.","Ask the AI to open apps, click and type for you."],"officialDownload":null},{"slug":"openui","name":"OpenUI","repo":"wandb/openui","githubUrl":"https://github.com/wandb/openui","homepage":"https://openui.fly.dev/","pageUrl":"/repo/openui","category":"Coding assistants","tagline":"Describe a part of a web page in words and see it built live, then get the code.","whatItDoes":["OpenUI lets you describe a piece of a website, such as a sign-up form or a pricing table, and see AI build it on screen right away. You can then ask for changes and convert the result into code for popular web frameworks such as React or Svelte.","It works with many AI providers, including OpenAI, Anthropic, Google and Groq, or with models on your own computer through Ollama. Its makers describe it as an open-source tool similar to v0, though less polished."],"whoFor":"Web designers and developers who want to sketch and prototype screens quickly.","useWithoutCoding":"With some setup","keywords":["web design","ui generator","prototype","html","react"],"rating":2.5,"tags":[],"owner":{"name":"Weights & Biases","githubUrl":"https://github.com/wandb"},"license":"Apache-2.0","stars":22620,"contributors":17,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T06:13:31Z","sources":[{"site":"Hacker News","title":"Wandb/openui: describe UI using your imagination","url":"https://news.ycombinator.com/item?id=39868902","date":"2024-03-29"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Try the live demo on the project's website.","To run it yourself, start it with Docker and add an AI service key or use Ollama.","Describe the interface you want, then ask for changes."],"officialDownload":null},{"slug":"eino","name":"Eino","repo":"cloudwego/eino","githubUrl":"https://github.com/cloudwego/eino","homepage":"https://www.cloudwego.io/docs/eino/","pageUrl":"/repo/eino","category":"Developer building blocks","tagline":"A toolkit for programmers who use the Go language to build AI chat apps and AI agents.","whatItDoes":["Eino is a code framework for building apps on top of large language models (the technology behind chatbots like ChatGPT). It is written for Go, a popular programming language, and its makers say it borrows ideas from LangChain and Google's agent kit.","It gives programmers ready-made pieces, such as a chat model, tools, and a search step, with versions for OpenAI, Claude, Gemini, Ollama and others. These pieces can be joined into step-by-step workflows or into agents that decide for themselves when to use a tool.","Agents can also pause to ask a person for input and then carry on where they left off."],"whoFor":"Software developers who work in Go and want to add AI features or agents to their products.","useWithoutCoding":"Developers only","keywords":["go ai framework","build ai agent","langchain alternative","chatbot development"],"rating":2.5,"tags":["New this week"],"owner":{"name":"CloudWeGo","githubUrl":"https://github.com/cloudwego"},"license":"Apache-2.0","stars":13331,"contributors":41,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T03:21:53Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"mmf","name":"MMF","repo":"facebookresearch/mmf","githubUrl":"https://github.com/facebookresearch/mmf","homepage":"https://mmf.sh/","pageUrl":"/repo/mmf","category":"AI models & research","tagline":"Facebook AI Research's framework for research on AI that understands images and text together.","whatItDoes":["MMF is a research framework for \"multimodal\" AI, meaning models that work with both pictures and language, such as answering questions about an image. It includes reference versions of well-known models and supports training across many machines.","It serves as a starting point for research challenges like Hateful Memes, TextVQA and VQA. It was formerly called Pythia."],"whoFor":"AI researchers working on vision-and-language problems.","useWithoutCoding":"Developers only","keywords":["multimodal","vision and language","research","image questions","pytorch"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Meta Research","githubUrl":"https://github.com/facebookresearch"},"license":"NOASSERTION","stars":5636,"contributors":132,"monthlyDownloads":null,"lastPushedAt":"2026-10-06T20:36:42Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Server"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"happy","name":"Happy","repo":"slopus/happy","githubUrl":"https://github.com/slopus/happy","homepage":"https://happy.engineering/","pageUrl":"/repo/happy","category":"Coding assistants","tagline":"Run Claude, Codex and Grok coding sessions from one app and keep working from your phone.","whatItDoes":["Happy brings several AI coding assistants into one app: Anthropic's Claude, OpenAI's Codex and xAI's Grok. You sign in with the subscriptions you already have, so it doesn't add another bill.","Your sessions continue on your phone through its mobile app, with what passes between your devices encrypted. You can also invite someone into a session so you both watch and guide the same AI agent.","This repository holds the mobile app (iPhone, Android and web), the original command-line tool and the server that relays messages. The desktop app lives in a separate repository."],"whoFor":"Programmers who use AI coding assistants and want to manage them in one place or check in from their phone.","useWithoutCoding":"With some setup","keywords":["claude code","codex","mobile","coding agents","remote"],"rating":2.5,"tags":[],"owner":{"name":"slopus","githubUrl":"https://github.com/slopus"},"license":"MIT","stars":24199,"contributors":83,"monthlyDownloads":34560,"lastPushedAt":"2026-10-19T01:06:45Z","sources":[{"site":"Hacker News","title":"Show HN: Happy Coder – End-to-End Encrypted Mobile Client for Claude Code","url":"https://news.ycombinator.com/item?id=44904039","date":"2025-08-14"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Phone","Web browser","Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Get the Happy app for your phone, or the desktop app for Mac, Windows or Linux.","Sign in with the Claude, Codex or Grok subscription you already have.","Start a coding session on your computer and continue it from your phone."],"officialDownload":null},{"slug":"ag2","name":"AG2","repo":"ag2ai/ag2","githubUrl":"https://github.com/ag2ai/ag2","homepage":"https://ag2.ai/","pageUrl":"/repo/ag2","category":"AI agents","tagline":"An open-source framework for building AI agents that work together to complete tasks (formerly AutoGen).","whatItDoes":["AG2 is a programming framework for building AI agents, programs that use AI models, call tools and carry out tasks. Several agents can be coordinated to work together, and a person can be asked to confirm steps along the way.","It works with providers such as OpenAI, Anthropic, Gemini and local models through Ollama. It also offers ways for agents to keep knowledge and shorten long conversation histories.","The README explains that the original AutoGen-style version now lives in a separate repository called AG2 Classic, and that the new version is not a drop-in replacement."],"whoFor":"Developers and researchers building single or multi-agent AI systems in Python.","useWithoutCoding":"Developers only","keywords":["ai agents","multi-agent","autogen","python framework"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"ag2ai","githubUrl":"https://github.com/ag2ai"},"license":"Apache-2.0","stars":5002,"contributors":516,"monthlyDownloads":164672,"lastPushedAt":"2026-10-19T00:06:33Z","sources":[{"site":"Research paper","title":"AG2 research paper","url":"https://arxiv.org/abs/2308.08155","date":"2023-08-01"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"yolov3","name":"Ultralytics YOLOv3","repo":"ultralytics/yolov3","githubUrl":"https://github.com/ultralytics/yolov3","homepage":"https://docs.ultralytics.com/models/yolov3/","pageUrl":"/repo/yolov3","category":"Images & video","tagline":"Spots and labels objects such as people, cars and animals in photos and videos in real time.","whatItDoes":["YOLOv3 is a well-known \"object detection\" model. It looks at an image or video frame and draws boxes around the things it recognises, each with a label. It can work on photos, videos, webcams, screenshots and live streams.","This project packages three versions of the model with tools to train it on your own pictures, test how accurate it is and convert it to other formats for phones and other devices."],"whoFor":"Developers and students working on computer vision projects.","useWithoutCoding":"Developers only","keywords":["object detection","computer vision","yolo","detect objects in video","image recognition"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Ultralytics","githubUrl":"https://github.com/ultralytics"},"license":"AGPL-3.0","stars":10622,"contributors":55,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T17:44:42Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"runanywhere","name":"RunAnywhere","repo":"RunanywhereAI/runanywhere-sdks","githubUrl":"https://github.com/RunanywhereAI/runanywhere-sdks","homepage":"https://www.runanywhere.ai/","pageUrl":"/repo/runanywhere","category":"Developer building blocks","tagline":"A toolkit for app makers to run AI chat, voice and vision directly on phones, browsers and computers.","whatItDoes":["RunAnywhere gives developers one set of tools to add AI to their apps that runs on the device itself, not in the cloud. Its makers describe it as private by default and offline by design.","Features include chat with open models, reading images, speech-to-text, text-to-speech, voice assistants, searching your own documents, and image generation. It picks the best engine for whatever chip the device has.","There are versions for iPhone and Mac, Android, the web, Python and more. A demo app is available on the App Store and Google Play."],"whoFor":"App developers who want private, offline AI features in mobile, web or desktop apps.","useWithoutCoding":"Developers only","keywords":["on-device ai","offline ai","mobile ai","voice assistant","private ai"],"rating":2.5,"tags":["New this week"],"owner":{"name":"RunAnywhere","githubUrl":"https://github.com/RunanywhereAI"},"license":"NOASSERTION","stars":10332,"contributors":57,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:19:28Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Phone","Web browser","Mac","Server"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["To see it in action, install the RunAnywhere demo app from the App Store or Google Play."],"officialDownload":null},{"slug":"hive","name":"Hive","repo":"aden-hive/hive","githubUrl":"https://github.com/aden-hive/hive","homepage":null,"pageUrl":"/repo/hive","category":"AI agents","tagline":"Hand a big job to a lead AI agent that splits it among many worker agents and tracks the results.","whatItDoes":["Hive is a system for running teams of AI agents. You give a task to a lead agent, which the project calls a queen. She does the first piece herself to learn the job, then hands the rest to as many worker agents as needed.","Every result goes into a shared table you can check and audit. Agents save their progress, so work can carry on after a crash, and jobs can run on a schedule while you're away.","It comes with ready-made agent roles, such as growth, sales and content, plus built-in tools for files, web pages, charts and more. It works with many AI providers or with local models through Ollama."],"whoFor":"Teams with lots of similar, repeatable work, such as researching leads or accounts, who want AI agents to do it in parallel with a person in charge.","useWithoutCoding":"With some setup","keywords":["ai agents","automation","multi-agent","research","workflows"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Aden","githubUrl":"https://github.com/aden-hive"},"license":"Apache-2.0","stars":11107,"contributors":229,"monthlyDownloads":0,"lastPushedAt":"2026-10-18T22:59:03Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Python, Node.js and git, then run the project's quick-start script.","Choose a model: an API key, a coding subscription you already have, or a free local model through Ollama.","Type a task on the home screen and pick the agent to give it to."],"officialDownload":null},{"slug":"liger-kernel","name":"Liger Kernel","repo":"linkedin/Liger-Kernel","githubUrl":"https://github.com/linkedin/Liger-Kernel","homepage":"https://linkedin.github.io/Liger-Kernel/","pageUrl":"/repo/liger-kernel","category":"Training & fine-tuning","tagline":"Speed-ups from LinkedIn that make training large AI models faster and lighter on memory.","whatItDoes":["Liger Kernel is a set of optimized building blocks for training large language models. They replace standard pieces of a model's training code with faster versions written in Triton, a language for programming graphics cards.","Its makers say this speeds up training and cuts memory use, which matters for fine-tuning popular models like Llama, Mistral and Gemma. It plugs into existing PyTorch and Hugging Face training setups."],"whoFor":"Machine-learning engineers who train or fine-tune large models on GPUs.","useWithoutCoding":"Developers only","keywords":["training","fine-tuning","gpu","faster training","memory"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"LinkedIn","githubUrl":"https://github.com/linkedin"},"license":"BSD-2-Clause","stars":6664,"contributors":185,"monthlyDownloads":448508,"lastPushedAt":"2026-10-17T01:36:54Z","sources":[{"site":"Research paper","title":"Liger Kernel tech report","url":"https://arxiv.org/abs/2410.10989","date":"2024-10-01"},{"site":"Hacker News","title":"Liger-Kernel: Efficient Triton kernels for LLM training","url":"https://news.ycombinator.com/item?id=41332732","date":"2024-08-23"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Server"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"fiftyone","name":"FiftyOne","repo":"voxel51/fiftyone","githubUrl":"https://github.com/voxel51/fiftyone","homepage":"https://fiftyone.ai/","pageUrl":"/repo/fiftyone","category":"Training & fine-tuning","tagline":"A tool for viewing, cleaning and improving image and video datasets used to train vision AI.","whatItDoes":["Computer vision AI learns from large collections of labelled pictures and videos. FiftyOne helps people look through those collections, spot mistakes and see where a model goes wrong.","It opens a visual app where you can browse your data, filter it and compare a model's guesses with the correct labels. This helps teams build better datasets and models.","The open-source tool is free. Its makers also offer an enterprise version for larger teams."],"whoFor":"Data scientists and engineers working on image or video AI.","useWithoutCoding":"Developers only","keywords":["image dataset","computer vision","data labelling","dataset cleaning"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Voxel51","githubUrl":"https://github.com/voxel51"},"license":"Apache-2.0","stars":11199,"contributors":210,"monthlyDownloads":112447,"lastPushedAt":"2026-10-18T21:30:45Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"ods","name":"ODS (Osmantic Deployment System)","repo":"Osmantic/ODS","githubUrl":"https://github.com/Osmantic/ODS","homepage":"https://discord.gg/qGVygYada3","pageUrl":"/repo/ods","category":"Run AI on your computer","tagline":"Sets up a full private AI system on your own computer, with chat, voice, workflows and image tools.","whatItDoes":["ODS installs and connects the pieces needed to run AI at home, so you don't have to set them up one by one. This includes local AI models, a ChatGPT-style web page, a control dashboard, voice, agents, document search and image generation.","The README says chats, files and AI processing stay on your machine, with no subscription and no telemetry. It goes online only to download models and updates and for web searches its agent makes, and explains how to turn these off.","The README describes the current version as a pre-release for public testing."],"whoFor":"People who want a private AI setup at home or in a small office without assembling it by hand.","useWithoutCoding":"With some setup","keywords":["private ai","home server","local ai","homelab","chatgpt alternative"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Osmantic","githubUrl":"https://github.com/Osmantic"},"license":"Apache-2.0","stars":7578,"contributors":85,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:49:11Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Open a terminal on your Mac, Linux or Windows computer.","Copy the install command for your system from the README and run it.","When it finishes, open the local web page it gives you and start chatting."],"officialDownload":null},{"slug":"ragas","name":"Ragas","repo":"vibrantlabsai/ragas","githubUrl":"https://github.com/vibrantlabsai/ragas","homepage":"https://docs.ragas.io/","pageUrl":"/repo/ragas","category":"Running AI at scale","tagline":"Measures how well an AI app is answering, using clear scores instead of guesswork.","whatItDoes":["When a company builds an AI app, it needs to know whether the answers are any good. Ragas is a toolkit for testing AI apps with measurable scores, using both AI-based judging and traditional measures.","It can also create test questions for you if you don't have any yet. It works with popular AI frameworks such as LangChain and with monitoring tools.","A quick-start command sets up a ready-made project, for example for testing an app that answers questions from documents."],"whoFor":"Developers and teams who build AI apps and want to check and improve their quality.","useWithoutCoding":"Developers only","keywords":["evaluate ai","testing","quality","rag","metrics"],"rating":2.5,"tags":[],"owner":{"name":"Vibrant Labs","githubUrl":"https://github.com/vibrantlabsai"},"license":"Apache-2.0","stars":16067,"contributors":246,"monthlyDownloads":1052531,"lastPushedAt":"2026-02-24T07:47:19Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"openmed","name":"OpenMed","repo":"maziyarpanahi/openmed","githubUrl":"https://github.com/maziyarpanahi/openmed","homepage":"https://openmed.life/","pageUrl":"/repo/openmed","category":"Developer building blocks","tagline":"Finds medical details in clinical notes and removes personal information, on hardware you control.","whatItDoes":["OpenMed is a toolkit for healthcare text. It can pick out medical details, such as conditions and medicines, from clinical notes, and strip out personal information like names, addresses and ID numbers.","Its makers say the core runs locally once the models are downloaded, so notes don't need to leave your machine. It offers a large catalogue of medical models and supports many languages for removing personal details.","It can be used from Python, on Apple devices, on Android and in a web browser. The README notes that model downloads and optional online integrations use the network."],"whoFor":"Developers and researchers building privacy-conscious healthcare software.","useWithoutCoding":"Developers only","keywords":["medical ai","clinical notes","remove personal data","healthcare","privacy"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"Maziyar Panahi","githubUrl":"https://github.com/maziyarpanahi"},"license":"Apache-2.0","stars":5696,"contributors":95,"monthlyDownloads":1880822,"lastPushedAt":"2026-10-17T21:57:43Z","sources":[{"site":"Research paper","title":"OpenMed research paper","url":"https://arxiv.org/abs/2508.01630","date":"2025-08-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Phone","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"openface","name":"OpenFace","repo":"cmusatyalab/openface","githubUrl":"https://github.com/cmusatyalab/openface","homepage":"http://cmusatyalab.github.io/openface/","pageUrl":"/repo/openface","category":"Developer building blocks","tagline":"A free face-recognition library from Carnegie Mellon University, built on deep neural networks.","whatItDoes":["OpenFace is an open-source library for recognising faces with deep learning, a type of AI loosely inspired by the brain. It was developed by researchers at Carnegie Mellon University.","The repository includes Python code, trained models, demos for comparing two photos or recognising faces from a webcam, and scripts for training new models and checking accuracy."],"whoFor":"Researchers and developers interested in face recognition.","useWithoutCoding":"Developers only","keywords":["face recognition","research","deep learning","webcam"],"rating":2.5,"tags":["Research-backed"],"owner":{"name":"cmusatyalab","githubUrl":"https://github.com/cmusatyalab"},"license":"Apache-2.0","stars":15442,"contributors":32,"monthlyDownloads":null,"lastPushedAt":"2026-10-14T22:43:45Z","sources":[{"site":"Research paper","title":"OpenFace: A general-purpose face recognition library with mobile applications","url":"https://reports-archive.adm.cs.cmu.edu/anon/anon/2016/CMU-CS-16-118.pdf","date":"2016-01-01"},{"site":"Hacker News","title":"Show HN: OpenFace – Face recognition with Google's FaceNet deep neural network","url":"https://news.ycombinator.com/item?id=10389289","date":"2015-10-14"},{"site":"Hacker News","title":"Show HN: OpenFace: Face recognition with Google's FaceNet deep neural network","url":"https://news.ycombinator.com/item?id=10379806","date":"2015-10-13"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"executorch","name":"ExecuTorch","repo":"pytorch/executorch","githubUrl":"https://github.com/pytorch/executorch","homepage":"https://executorch.ai/","pageUrl":"/repo/executorch","category":"Developer building blocks","tagline":"PyTorch's toolkit for running AI models directly on phones, laptops, headsets and tiny chips.","whatItDoes":["ExecuTorch is software from the PyTorch project for running AI models on devices themselves, such as phones, wearables, laptops, browsers and microcontrollers, rather than on remote servers.","Developers take a PyTorch model, prepare it for a particular device, and run it from many programming languages. It covers chat models, speech recognition and synthesis, image understanding and more. Its makers say it powers on-device features in Instagram, WhatsApp and Meta's headsets and glasses."],"whoFor":"App and hardware developers who want AI to run privately and offline on devices.","useWithoutCoding":"Developers only","keywords":["on-device ai","mobile ai","offline ai","edge ai","pytorch"],"rating":2.5,"tags":["New this week"],"owner":{"name":"pytorch","githubUrl":"https://github.com/pytorch"},"license":"NOASSERTION","stars":5104,"contributors":643,"monthlyDownloads":93669,"lastPushedAt":"2026-10-18T23:47:09Z","sources":[{"site":"Hacker News","title":"Executorch: On-device AI across mobile, embedded and edge for PyTorch","url":"https://news.ycombinator.com/item?id=46312621","date":"2025-12-18"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Mac","Windows","Phone"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"evidently","name":"Evidently","repo":"evidentlyai/evidently","githubUrl":"https://github.com/evidentlyai/evidently","homepage":"https://discord.gg/xZjKRaNp8b","pageUrl":"/repo/evidently","category":"Running AI at scale","tagline":"Tests and monitors AI and machine-learning systems to check they keep working well.","whatItDoes":["Evidently is a Python library that checks the quality of AI systems, from traditional prediction models to chatbots and document question-answering tools.","It has over a hundred ready-made checks, such as spotting when incoming data starts to look different (data drift) or using an AI model to grade answers. Results appear as interactive reports, and you can add pass or fail tests.","A monitoring dashboard shows results over time. You can host it yourself, or use the paid Evidently Cloud, which has a free tier."],"whoFor":"Data scientists and machine-learning engineers who need to evaluate and monitor models in testing and in real use.","useWithoutCoding":"Developers only","keywords":["model monitoring","llm evaluation","data drift","testing","quality"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Evidently AI","githubUrl":"https://github.com/evidentlyai"},"license":"Apache-2.0","stars":7998,"contributors":97,"monthlyDownloads":823148,"lastPushedAt":"2026-09-29T08:32:43Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"json-repair","name":"json_repair","repo":"mangiucugna/json_repair","githubUrl":"https://github.com/mangiucugna/json_repair","homepage":"https://mangiucugna.github.io/json_repair/","pageUrl":"/repo/json-repair","category":"Developer building blocks","tagline":"A small Python library that fixes broken JSON data, such as badly formatted AI output.","whatItDoes":["JSON is a common text format for passing data between programs. AI models sometimes return JSON with small mistakes, like a missing bracket or stray words.","json_repair fixes these problems, such as missing quotes, extra commas or cut-off values, so programs can read the data.","It can be dropped in where programmers normally read JSON, and there is an online demo to test it."],"whoFor":"Python developers who handle data returned by AI models or other messy sources.","useWithoutCoding":"Developers only","keywords":["fix json","ai output","json parser","python"],"rating":2.5,"tags":["Widely used","New this week"],"owner":{"name":"Stefano Baccianella","githubUrl":"https://github.com/mangiucugna"},"license":"MIT","stars":5119,"contributors":20,"monthlyDownloads":30555575,"lastPushedAt":"2026-10-12T09:58:18Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"framelink-figma-mcp","name":"Framelink MCP for Figma","repo":"GLips/Figma-Context-MCP","githubUrl":"https://github.com/GLips/Figma-Context-MCP","homepage":"https://www.framelink.ai/","pageUrl":"/repo/framelink-figma-mcp","category":"Add-ons for AI coding tools","tagline":"Lets AI coding tools read your Figma designs so they can turn them into working code more accurately.","whatItDoes":["Figma is a popular app for designing websites and apps. This tool lets AI coding assistants like Cursor read the layout and style details in a Figma file.","You paste a link to a Figma design into the assistant's chat and ask it to build it. The tool fetches the design details and trims them down to what matters most. Its makers say this gives better results than pasting screenshots.","It uses MCP (Model Context Protocol), a standard way for AI assistants to use outside tools."],"whoFor":"Developers and designers who turn Figma designs into code with AI help.","useWithoutCoding":"With some setup","keywords":["figma","design to code","cursor","mcp","web design"],"rating":2.5,"tags":[],"owner":{"name":"Graham Lipsman","githubUrl":"https://github.com/GLips"},"license":"MIT","stars":16005,"contributors":30,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T04:03:19Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Create a personal access token in your Figma account settings.","Add the Framelink server, with your token, to your AI code editor's tool settings.","Paste a link to a Figma frame into the editor's chat and ask it to build the design."],"officialDownload":null},{"slug":"superplane","name":"SuperPlane","repo":"superplanehq/superplane","githubUrl":"https://github.com/superplanehq/superplane","homepage":"https://superplane.com/","pageUrl":"/repo/superplane","category":"Coding assistants","tagline":"Has AI coding agents turn routine backlog tasks into checked, ready-to-review code changes.","whatItDoes":["SuperPlane is a system for letting AI agents handle routine software work. It picks backlog issues (to-do items) that agents can likely finish well, and turns them into pull requests, proposed code changes ready for a person to review.","It coordinates the coding agents, code storage, automated tests, reviews and approvals in one visible place. Every step is recorded, failures go back to the agent with details, and unclear work or decisions needing judgement stay with your team.","It connects to tools such as Claude, Cursor, OpenAI, GitHub, GitLab, Slack and Jira. You can choose your models and run it in the cloud or on your own servers."],"whoFor":"Software teams who want to hand routine coding tasks to AI agents while keeping humans in charge of review.","useWithoutCoding":"Developers only","keywords":["ai coding agents","automation","pull requests","software teams","workflow"],"rating":2.5,"tags":["New this week"],"owner":{"name":"SuperPlane","githubUrl":"https://github.com/superplanehq"},"license":"NOASSERTION","stars":7989,"contributors":77,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T21:13:59Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Server","Cloud"],"hardware":"Made for servers or data centres","privacy":null,"needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"khazix-skills","name":"Khazix Skills","repo":"KKKKhazix/khazix-skills","githubUrl":"https://github.com/KKKKhazix/khazix-skills","homepage":null,"pageUrl":"/repo/khazix-skills","category":"Add-ons for AI coding tools","tagline":"A small set of everyday add-ons for AI assistants: setting clear goals, cleaning your disk, research reports and more.","whatItDoes":["Khazix Skills is a collection of skills, sets of instructions an AI assistant can load to do a job well. The author says they use these daily. The README is mainly in Chinese.","The skills include: \"leader\", which turns a vague idea into a clear goal with rules the AI must follow, so it can work alone for hours; a disk analyser that suggests what to clean up on a Mac or Windows computer; a daily AI news lookup; a tidy-up tool that keeps project notes and AI memory in sync; a research method that produces a long PDF report on a product, company or idea; and a writing style skill that mimics the author's voice.","They follow the open Agent Skills standard, so they work with Claude Code, Codex, Cursor and many other AI tools."],"whoFor":"Users of AI coding assistants, especially Chinese-speaking users, who want practical ready-made skills.","useWithoutCoding":"With some setup","keywords":["ai skills","claude code","productivity","research report","goals"],"rating":2.5,"tags":["Fast-rising"],"owner":{"name":"Khazix","githubUrl":"https://github.com/KKKKhazix"},"license":"MIT","stars":21494,"contributors":2,"monthlyDownloads":null,"lastPushedAt":"2026-10-01T13:15:32Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open an AI assistant that supports Agent Skills, such as Claude Code or Codex.","Ask it to install the skill you want, pointing it to that skill's folder in this project.","If your assistant lacks skill support, paste the skill's instruction file into the chat instead."],"officialDownload":null},{"slug":"machine-learning-for-trading","name":"Machine Learning for Trading","repo":"stefan-jansen/machine-learning-for-trading","githubUrl":"https://github.com/stefan-jansen/machine-learning-for-trading","homepage":"https://ml4trading.io/","pageUrl":"/repo/machine-learning-for-trading","category":"Finance & trading","tagline":"The companion code for a book on using machine learning to design and test trading strategies.","whatItDoes":["This repository holds the code for the third edition of the book Machine Learning for Trading: 27 chapters and nine case studies. It follows one path from collecting data and researching ideas to testing and running a strategy.","Topics include forecasting models, risk management, AI that reads company filings, and reinforcement learning. The earlier edition is kept on a separate branch."],"whoFor":"Readers of the book, finance students and developers learning data-driven trading.","useWithoutCoding":"Developers only","keywords":["trading","finance","machine learning book","investing","tutorial"],"rating":2.5,"tags":[],"owner":{"name":"Stefan Jansen","githubUrl":"https://github.com/stefan-jansen"},"license":"MIT","stars":21452,"contributors":19,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:10:05Z","sources":[],"checkedByPerson":true,"cost":null,"runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"areal","name":"AReaL","repo":"areal-project/AReaL","githubUrl":"https://github.com/areal-project/AReaL","homepage":"https://areal-ai.io/","pageUrl":"/repo/areal","category":"Training & fine-tuning","tagline":"A system for training AI reasoning and agent models with reinforcement learning.","whatItDoes":["AReaL is infrastructure for training large AI models using reinforcement learning, a way of teaching models by rewarding good results.","It is built to be fully asynchronous, which its makers say makes training fast and able to scale, and it is aimed at reasoning and agent-style models.","It was originally developed by researchers at Tsinghua University and Ant Group."],"whoFor":"Researchers and engineers training reasoning or agent AI models with reinforcement learning.","useWithoutCoding":"Developers only","keywords":["reinforcement learning","training","llm","reasoning","agents"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"AReaL Project","githubUrl":"https://github.com/areal-project"},"license":"Apache-2.0","stars":5842,"contributors":117,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:18:39Z","sources":[{"site":"Research paper","title":"AReaL: A Large-Scale Asynchronous Reinforcement Learning System","url":"https://arxiv.org/pdf/2505.24298","date":"2025-05-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Server"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"deepchat","name":"DeepChat","repo":"ThinkInAIXYZ/deepchat","githubUrl":"https://github.com/ThinkInAIXYZ/deepchat","homepage":"https://deepchat.thinkinai.xyz/","pageUrl":"/repo/deepchat","category":"Chat assistants","tagline":"A desktop app for chatting with many AI models and running AI agents in one place.","whatItDoes":["DeepChat is a free desktop app that brings different AI models together. You can use online services like OpenAI, Gemini and Anthropic, or models running on your own computer through Ollama.","Beyond chat, it supports tools through MCP (a standard way to connect AI to other apps), add-on skills and AI agents. It keeps a recoverable record of each session so you can look back at what happened."],"whoFor":"Anyone who wants one app for chatting with several AI models, including local ones.","useWithoutCoding":"Yes","keywords":["ai chat app","chatgpt alternative","desktop ai","ollama","mcp"],"rating":2.5,"tags":["New this week"],"owner":{"name":"ThinkInAIXYZ","githubUrl":"https://github.com/ThinkInAIXYZ"},"license":"Apache-2.0","stars":6369,"contributors":104,"monthlyDownloads":null,"lastPushedAt":"2026-10-13T03:27:38Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the installer for your computer from the project's releases page or official website.","Open DeepChat, go to settings and add an API key from an AI provider or connect a local Ollama model.","Start a new conversation."],"officialDownload":"https://github.com/ThinkInAIXYZ/deepchat/releases"},{"slug":"h2o-3","name":"H2O","repo":"h2oai/h2o-3","githubUrl":"https://github.com/h2oai/h2o-3","homepage":"http://h2o.ai/","pageUrl":"/repo/h2o-3","category":"Data science tools","tagline":"An open-source platform for building machine-learning models on large amounts of data.","whatItDoes":["H2O is a machine-learning platform that runs in memory and can spread work across many computers. It includes common methods such as deep learning, gradient boosting, random forests and AutoML, which tries many models automatically to find a good one.","You can use it from Python, R, Scala or Java, or through Flow, its notebook-style web interface. It works with big-data systems like Hadoop and Spark.","Finished models can be downloaded and used in other software for making predictions."],"whoFor":"Data scientists and engineers who build prediction models, especially on large datasets.","useWithoutCoding":"Developers only","keywords":["machine learning","automl","data science","big data","predictions"],"rating":2.5,"tags":["New this week"],"owner":{"name":"H2O.ai","githubUrl":"https://github.com/h2oai"},"license":"Apache-2.0","stars":7510,"contributors":287,"monthlyDownloads":152214,"lastPushedAt":"2026-10-18T03:16:13Z","sources":[{"site":"Hacker News","title":"Wave: Create Web Apps with Python","url":"https://news.ycombinator.com/item?id=41396081","date":"2024-08-29"},{"site":"Hacker News","title":"Fast csv writing for R","url":"https://news.ycombinator.com/item?id=11566001","date":"2016-04-25"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"synapseml","name":"SynapseML","repo":"microsoft/SynapseML","githubUrl":"https://github.com/microsoft/SynapseML","homepage":"http://aka.ms/spark","pageUrl":"/repo/synapseml","category":"Running AI at scale","tagline":"A Microsoft library for building machine-learning pipelines that run across large computer clusters.","whatItDoes":["SynapseML, formerly called MMLSpark, adds machine-learning tools to Apache Spark, a system for processing very large amounts of data across many computers.","It covers tasks like text analysis, computer vision, spotting unusual data and fast model training, and can call Microsoft's AI services at large scale.","It can be used from Python, R, Scala, Java and .NET, and on platforms such as Microsoft Fabric and Databricks."],"whoFor":"Data engineers and data scientists working with big data on Spark.","useWithoutCoding":"Developers only","keywords":["spark","big data","machine learning pipelines","azure"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"Microsoft","githubUrl":"https://github.com/microsoft"},"license":"MIT","stars":5247,"contributors":135,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T20:56:50Z","sources":[{"site":"Research paper","title":"SynapseML (MMLSpark) paper on arXiv","url":"https://arxiv.org/abs/1810.08744","date":"2018-10-01"},{"site":"Hacker News","title":"Microsoft Releases Open Source ML Library for Distributed Search Engine Creation","url":"https://news.ycombinator.com/item?id=19319284","date":"2019-03-06"},{"site":"Hacker News","title":"Test Windows Phone 7 on iOs or Android","url":"https://news.ycombinator.com/item?id=3291651","date":"2011-11-29"}],"checkedByPerson":false,"cost":"Free","runsOn":["Server","Cloud"],"hardware":"Made for servers or data centres","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"codex-security","name":"Codex Security","repo":"openai/codex-security","githubUrl":"https://github.com/openai/codex-security","homepage":"https://developers.openai.com/codex/security","pageUrl":"/repo/codex-security","category":"Coding assistants","tagline":"OpenAI's tool that scans your code for security weaknesses, checks them and suggests fixes.","whatItDoes":["Codex Security is a command-line tool and code library from OpenAI that looks for security vulnerabilities, meaning weaknesses an attacker could exploit, in a codebase.","It can scan a whole project or just recent changes, double-check suspected problems, write patches, and draft a security policy for the project. Results can be exported to common report formats or sent to issue trackers.","You sign in with an OpenAI account to use it. The README notes some cybersecurity features need extra approval from OpenAI."],"whoFor":"Software developers and security teams who want AI help reviewing their own code for vulnerabilities.","useWithoutCoding":"Developers only","keywords":["code security scan","find vulnerabilities","security review","openai codex"],"rating":2.5,"tags":["New this week"],"owner":{"name":"OpenAI","githubUrl":"https://github.com/openai"},"license":"Apache-2.0","stars":11130,"contributors":59,"monthlyDownloads":857985,"lastPushedAt":"2026-10-19T00:56:18Z","sources":[{"site":"Hacker News","title":"Codex Security","url":"https://news.ycombinator.com/item?id=49089755","date":"2026-07-28"}],"checkedByPerson":true,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"krita-ai-diffusion","name":"Generative AI for Krita","repo":"Acly/krita-ai-diffusion","githubUrl":"https://github.com/Acly/krita-ai-diffusion","homepage":"https://www.interstice.cloud/","pageUrl":"/repo/krita-ai-diffusion","category":"Images & video","tagline":"Adds AI image generation and editing inside Krita, the free painting program.","whatItDoes":["This is a plugin for Krita, a free drawing and painting app. It lets you use AI to fill selections, add or remove objects, extend images, upscale them and paint with live AI feedback.","Its makers focus on control: you can limit changes to a selection, guide results with sketches, line art or reference images, and give different text descriptions to different areas.","It can run everything on your own computer with open models, which needs a strong graphics card, or use a cloud service to get started quickly."],"whoFor":"Artists and illustrators who want AI tools inside their normal painting workflow.","useWithoutCoding":"Yes","keywords":["ai painting","krita plugin","inpainting","image generation","stable diffusion"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Acly","githubUrl":"https://github.com/Acly"},"license":"GPL-3.0","stars":10738,"contributors":51,"monthlyDownloads":null,"lastPushedAt":"2026-10-03T10:54:01Z","sources":[{"site":"Hacker News","title":"Krita AI Diffusion","url":"https://news.ycombinator.com/item?id=38342670","date":"2023-11-20"},{"site":"Hacker News","title":"Generative AI for Krita","url":"https://news.ycombinator.com/item?id=46832979","date":"2026-01-31"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Mac","Windows","Linux","Cloud"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Krita, then download the plugin from the project's GitHub releases page.","In Krita, import the downloaded plugin file, restart, and open the AI Image Generation panel.","Click Configure to install a local AI server or connect to one."],"officialDownload":"https://github.com/Acly/krita-ai-diffusion/releases/latest"},{"slug":"forgecode","name":"Forge","repo":"tailcallhq/forgecode","githubUrl":"https://github.com/tailcallhq/forgecode","homepage":"https://forgecode.dev/","pageUrl":"/repo/forgecode","category":"Coding assistants","tagline":"An AI coding assistant that works in your terminal and connects to hundreds of AI models.","whatItDoes":["Forge is an AI pair programmer that runs in the terminal, the text window programmers use to run commands. You chat with it to write code, fix problems or learn new technologies, and it can read and change files in your project.","It works with many AI providers, including OpenAI and Anthropic, using your own API key. It has an interactive mode, a one-off command mode and a shell add-on, and its makers say a restricted mode limits what it can change on your computer."],"whoFor":"Programmers who like working in the terminal and want an AI helper there.","useWithoutCoding":"Developers only","keywords":["ai coding assistant","terminal","claude code alternative","pair programmer","cli"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Tailcall","githubUrl":"https://github.com/tailcallhq"},"license":"Apache-2.0","stars":7636,"contributors":81,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T18:12:54Z","sources":[{"site":"Hacker News","title":"Everything You Need to Know About Grok 4","url":"https://news.ycombinator.com/item?id=44608468","date":"2025-07-18"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"loop-engineering","name":"Loop Engineering","repo":"cobusgreyling/loop-engineering","githubUrl":"https://github.com/cobusgreyling/loop-engineering","homepage":"https://cobusgreyling.github.io/loop-engineering/","pageUrl":"/repo/loop-engineering","category":"Add-ons for AI coding tools","tagline":"Ready-made patterns for running AI coding agents on a schedule to look after a software project.","whatItDoes":["Loop Engineering is a library of patterns for setting up AI coding agents (like Claude Code, Codex or Grok) to work in repeating loops. A loop finds work in a code project, hands it to an agent, checks the result and saves its progress.","Patterns include daily triage of issues and test failures, watching pull requests (proposed code changes), updating dependencies and drafting changelogs. A small command-line tool sets up a pattern and estimates its cost.","Its author recommends starting with report-only loops for a week before letting them act alone, and warns that unattended loops can make unattended mistakes and run up AI costs."],"whoFor":"Software developers and teams who already use AI coding agents and want to automate routine project upkeep.","useWithoutCoding":"Developers only","keywords":["ai coding agent","automation","github","code maintenance"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"Cobus Greyling","githubUrl":"https://github.com/cobusgreyling"},"license":"MIT","stars":11577,"contributors":46,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T02:34:17Z","sources":[{"site":"Research paper","title":"Building Blocks, Adoption, and Impact","url":"https://arxiv.org/abs/2608.21884","date":"2026-08-01"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"leon","name":"Leon","repo":"leon-ai/leon","githubUrl":"https://github.com/leon-ai/leon","homepage":"https://getleon.ai/","pageUrl":"/repo/leon","category":"AI agents","tagline":"An open-source personal assistant that uses tools and memory to carry out tasks, locally if you prefer.","whatItDoes":["Leon is a personal AI assistant. It can understand a goal, decide how to handle it, use real tools to get the work done, and remember useful information about you and your setup.","It has modes for following fixed, predictable steps or planning step by step like an agent, and it can operate desktop and browser apps. It works with local AI models for privacy or with remote AI providers.","Its makers say a new version is in developer preview and its documentation is not ready yet; an older, more stable version remains available."],"whoFor":"Tinkerers and developers who want a hackable personal assistant.","useWithoutCoding":"With some setup","keywords":["personal assistant","ai agent","privacy","voice assistant"],"rating":2.5,"tags":[],"owner":{"name":"Leon AI","githubUrl":"https://github.com/leon-ai"},"license":"MIT","stars":17588,"contributors":26,"monthlyDownloads":null,"lastPushedAt":"2026-10-12T12:24:33Z","sources":[{"site":"Hacker News","title":"Leon: Open-source, self-hosted personal assistant","url":"https://news.ycombinator.com/item?id=32714381","date":"2022-09-04"},{"site":"Hacker News","title":"Leon: An open-source personal assistant","url":"https://news.ycombinator.com/item?id=19152561","date":"2019-02-13"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Node.js version 24 or newer.","Download Leon's code, install its parts and start it.","Open Leon in your web browser on your own computer."],"officialDownload":null},{"slug":"yupi-ai-guide","name":"Yupi's AI Guide","repo":"liyupi/ai-guide","githubUrl":"https://github.com/liyupi/ai-guide","homepage":"https://ai.codefather.cn/","pageUrl":"/repo/yupi-ai-guide","category":"Learning resources","tagline":"A free Chinese-language knowledge base of AI tool guides, tips and a beginner's course in coding with AI.","whatItDoes":["This is a large, free collection of Chinese-language articles about AI, organised by the author into a knowledge base and website. It covers popular AI tools and models, how to use them, reviews, tips, AI news, prompt-writing ideas and ways to earn money with AI products.","Its centrepiece is a beginner's \"vibe coding\" course, which teaches people with no programming background how to build and launch their own apps by describing them to AI coding tools. There are matching video lessons, and parts of the course have been translated into English."],"whoFor":"Chinese-speaking beginners and programmers who want practical guidance on AI tools and coding with AI.","useWithoutCoding":"Yes","keywords":["learn ai","vibe coding","chinese","ai tools","beginner"],"rating":2.5,"tags":[],"owner":{"name":"程序员鱼皮","githubUrl":"https://github.com/liyupi"},"license":"NOASSERTION","stars":21325,"contributors":7,"monthlyDownloads":null,"lastPushedAt":"2026-09-28T03:09:27Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Start with the basics section of the free Vibe Coding beginner tutorial.","Follow the suggested learning path and try the hands-on projects."],"officialDownload":null},{"slug":"clearml","name":"ClearML","repo":"clearml/clearml","githubUrl":"https://github.com/clearml/clearml","homepage":"https://clear.ml/docs","pageUrl":"/repo/clearml","category":"Running AI at scale","tagline":"A suite of tools for tracking AI experiments, managing data, and running and serving models.","whatItDoes":["ClearML helps teams organise machine learning work. It records experiments automatically, including settings and results, so they can be compared and repeated.","It also manages datasets with version control, runs jobs on cloud or in-house computers, builds pipelines, and serves trained models to users with monitoring.","You can use its hosted service, which has a free tier, or run your own ClearML server."],"whoFor":"Machine learning engineers and data science teams who need to manage experiments and models at scale.","useWithoutCoding":"Developers only","keywords":["mlops","experiment tracking","model serving","ai pipeline"],"rating":2.5,"tags":["New this week"],"owner":{"name":"ClearML","githubUrl":"https://github.com/clearml"},"license":"Apache-2.0","stars":6910,"contributors":118,"monthlyDownloads":773782,"lastPushedAt":"2026-10-12T12:54:10Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Sign up for the free hosted service, or set up your own ClearML server.","Install the ClearML package for Python and connect it using credentials from your workspace settings."],"officialDownload":null},{"slug":"openmausbot","name":"OpenMausBot","repo":"milind-soni/OpenMausBot","githubUrl":"https://github.com/milind-soni/OpenMausBot","homepage":"https://www.openmausbot.com/","pageUrl":"/repo/openmausbot","category":"AI agents","tagline":"A chat app where each contact is an AI agent with its own model, computer and connected apps.","whatItDoes":["OpenMausBot works like a messaging app, but your contacts are AI bots. Each bot is a real agent, running Claude, Codex or Grok tools already installed on your computer, with its own personality and model.","Each bot can use a cloud desktop, an isolated virtual machine or, if you allow it, your own computer, and can connect to apps like Gmail, Slack and GitHub. Risky actions show up as cards you approve or deny.","It uses your existing logins and stores conversations and keys on your own computer."],"whoFor":"People who already use Claude, Codex or Grok and want a team of AI agents they can chat with and supervise.","useWithoutCoding":"With some setup","keywords":["ai agents","chat app","personal assistant","claude","computer use"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Milind Soni","githubUrl":"https://github.com/milind-soni"},"license":"Apache-2.0","stars":5133,"contributors":137,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:08:48Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the installer for your computer from the project's releases page.","Make sure the Claude, Codex or Grok command-line tool you want to use is installed and signed in.","Open the app, create a bot and start chatting with it."],"officialDownload":"https://github.com/milind-soni/OpenMausBot/releases/latest"},{"slug":"bentoml","name":"BentoML","repo":"bentoml/BentoML","githubUrl":"https://github.com/bentoml/BentoML","homepage":"https://bentoml.com/","pageUrl":"/repo/bentoml","category":"Running AI at scale","tagline":"A Python library for turning AI models into online services that apps can call.","whatItDoes":["BentoML helps developers take an AI model and turn it into an API (a doorway that lets other programs send requests and get answers). A few lines of Python can turn a model script into a working web service.","It packages your code, model and settings into Docker containers so the service runs the same way everywhere. It also includes features to make better use of processors and graphics cards, such as grouping requests together.","You can run it on your own machines or deploy to BentoCloud, the makers' paid hosting service."],"whoFor":"Machine-learning engineers and developers who need to serve AI models to users or apps.","useWithoutCoding":"Developers only","keywords":["model serving","ai api","deploy ai","mlops"],"rating":2.5,"tags":["New this week"],"owner":{"name":"BentoML","githubUrl":"https://github.com/bentoml"},"license":"Apache-2.0","stars":8906,"contributors":238,"monthlyDownloads":134418,"lastPushedAt":"2026-10-05T17:17:22Z","sources":[{"site":"Hacker News","title":"Show HN: BentoML goes 1.0 – A faster way to ship your models to production","url":"https://news.ycombinator.com/item?id=32088537","date":"2022-07-13"},{"site":"Hacker News","title":"BentoML: A platform for serving and deploying machine learning models","url":"https://news.ycombinator.com/item?id=21194165","date":"2019-10-08"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Linux","Mac","Windows","Server","Cloud"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"helicone","name":"Helicone","repo":"Helicone/helicone","githubUrl":"https://github.com/Helicone/helicone","homepage":"https://www.helicone.ai/","pageUrl":"/repo/helicone","category":"Running AI at scale","tagline":"Tracks every request an app sends to AI models, showing cost, speed and quality, and routes between providers.","whatItDoes":["Helicone is an observability platform for AI apps, meaning it lets developers see what their app is doing. It logs each request to AI models so teams can inspect conversations, debug agents and track cost and speed.","It also works as an AI gateway: one API key and address that can reach many AI models, with automatic switching if one provider fails. There are tools for testing and managing prompts.","It can be used as a hosted service, which its makers say has a free monthly tier, or self-hosted with Docker."],"whoFor":"Developers and teams running AI-powered apps who need monitoring and cost tracking.","useWithoutCoding":"Developers only","keywords":["llm monitoring","ai cost tracking","ai gateway","observability","logs"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Helicone","githubUrl":"https://github.com/Helicone"},"license":"Apache-2.0","stars":6228,"contributors":102,"monthlyDownloads":null,"lastPushedAt":"2026-10-10T02:57:56Z","sources":[{"site":"Hacker News","title":"Show HN: Helicone (YC W23) – OSS LLM Observability and Development Platform","url":"https://news.ycombinator.com/item?id=42806254","date":"2025-01-23"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Cloud","Server"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"openai-php-client","name":"OpenAI PHP","repo":"openai-php/client","githubUrl":"https://github.com/openai-php/client","homepage":null,"pageUrl":"/repo/openai-php-client","category":"Developer building blocks","tagline":"A community-made PHP library for using OpenAI's AI services from PHP websites and apps.","whatItDoes":["OpenAI PHP lets programmers who write in PHP, a common language for websites, connect to OpenAI's API (a doorway that lets programs use OpenAI's models).","It covers chat, audio, images, embeddings, files, fine-tuning, moderation and other OpenAI features, and also supports Azure's version of OpenAI. It is maintained by the community, not by OpenAI."],"whoFor":"PHP developers adding OpenAI features to their websites or apps.","useWithoutCoding":"Developers only","keywords":["openai","php","chatgpt api","sdk","laravel"],"rating":2.5,"tags":["New this week"],"owner":{"name":"OpenAI PHP","githubUrl":"https://github.com/openai-php"},"license":"MIT","stars":5836,"contributors":111,"monthlyDownloads":null,"lastPushedAt":"2026-10-14T23:57:05Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"nemo-guardrails","name":"NeMo Guardrails","repo":"NVIDIA-NeMo/Guardrails","githubUrl":"https://github.com/NVIDIA-NeMo/Guardrails","homepage":"https://docs.nvidia.com/nemo/guardrails/latest/index.html","pageUrl":"/repo/nemo-guardrails","category":"AI testing & safety","tagline":"NVIDIA's toolkit for adding safety rules that keep AI chatbots on topic and guard against misuse.","whatItDoes":["NeMo Guardrails lets developers put \"guardrails\" around an AI chatbot. These are rules that control what it says, such as staying off certain topics, following a set conversation flow, or checking facts in answers.","It also helps protect chat apps against common tricks like jailbreaks and prompt injections (messages designed to make the AI ignore its instructions). It can be used from Python code or run as a separate server."],"whoFor":"Developers building AI chatbots or assistants that need to be safe and predictable.","useWithoutCoding":"Developers only","keywords":["ai safety","chatbot rules","guardrails","moderation","prompt injection"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"NVIDIA-NeMo","githubUrl":"https://github.com/NVIDIA-NeMo"},"license":"NOASSERTION","stars":7324,"contributors":129,"monthlyDownloads":525573,"lastPushedAt":"2026-10-15T22:08:14Z","sources":[{"site":"Research paper","title":"NeMo Guardrails","url":"https://arxiv.org/abs/2310.10501","date":"2023-10-01"},{"site":"Hacker News","title":"CUDA 11.0","url":"https://news.ycombinator.com/item?id=23772245","date":"2020-07-08"},{"site":"Hacker News","title":"CUDA Toolkit Release Notes","url":"https://news.ycombinator.com/item?id=21618774","date":"2019-11-24"}],"checkedByPerson":false,"cost":"Free","runsOn":["Server","Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"powerinfer","name":"PowerInfer","repo":"Tiiny-AI/PowerInfer","githubUrl":"https://github.com/Tiiny-AI/PowerInfer","homepage":null,"pageUrl":"/repo/powerinfer","category":"Run AI on your computer","tagline":"Runs large AI language models faster on a home computer with a single ordinary graphics card.","whatItDoes":["PowerInfer is an engine for running large language models on a personal computer. It splits the work between the graphics card (GPU) and the main processor (CPU) in a clever way.","It relies on the fact that only a small set of a model's parts are used most of the time. Those are kept on the graphics card, while the rest run on the processor, which reduces how much graphics memory is needed. Its makers say this is much faster than similar tools on the same hardware.","It works with specific models prepared for this method. It has been tested on Linux and Windows, and on Apple Silicon Macs without much speed gain."],"whoFor":"Technical users and researchers who want to run big AI models locally on consumer hardware.","useWithoutCoding":"Developers only","keywords":["run llm locally","local ai","gpu","fast inference","offline ai"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"Tiiny AI","githubUrl":"https://github.com/Tiiny-AI"},"license":"MIT","stars":9837,"contributors":399,"monthlyDownloads":null,"lastPushedAt":"2026-05-11T06:48:06Z","sources":[{"site":"Research paper","title":"PowerInfer-2","url":"https://arxiv.org/abs/2406.06282","date":"2024-06-11"},{"site":"Research paper","title":"Turbo Sparse","url":"https://arxiv.org/abs/2406.05955","date":"2024-06-11"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Windows","Mac"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"notegen","name":"NoteGen","repo":"codexu/note-gen","githubUrl":"https://github.com/codexu/note-gen","homepage":"https://notegen.top/","pageUrl":"/repo/notegen","category":"Documents & knowledge","tagline":"A note-taking app that lets you save quick scraps first, then uses AI to turn them into tidy notes.","whatItDoes":["NoteGen is a note app built on plain Markdown files (simple text files with light formatting). You quickly save thoughts, voice recordings, screenshots, links and files as they come up, without deciding on folders or titles.","Later you pick the scraps that belong together and ask AI to organize them into a summary, meeting notes, a report or an article. You can then edit the draft in your own words. It can also answer questions using your notes and build a searchable knowledge base from them.","It connects to whichever AI providers and models you set up. Your notes stay as ordinary files in a folder you choose."],"whoFor":"People who collect lots of scattered information and want help turning it into organized notes.","useWithoutCoding":"Yes","keywords":["notes","note taking","markdown","meeting notes","second brain"],"rating":2.5,"tags":["New this week"],"owner":{"name":"codexu","githubUrl":"https://github.com/codexu"},"license":"GPL-3.0","stars":12897,"contributors":37,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T14:42:43Z","sources":[{"site":"Hacker News","title":"NoteGen is a cross-platform Markdown note-taking application","url":"https://news.ycombinator.com/item?id=44187285","date":"2025-06-05"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Windows","Mac","Linux","Phone"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":true,"firstSteps":["Download NoteGen for your computer from the project's download page or its GitHub releases page.","Open the app, choose a folder for your notes and add an AI provider in the settings.","Save a few records, select them and ask NoteGen to organize them into a note."],"officialDownload":"https://github.com/codexu/note-gen/releases"},{"slug":"chattts","name":"ChatTTS","repo":"2noise/ChatTTS","githubUrl":"https://github.com/2noise/ChatTTS","homepage":"https://2noise.com/","pageUrl":"/repo/chattts","category":"Speech & audio","tagline":"Turns text into natural, chatty-sounding speech in English and Chinese, with laughs and pauses.","whatItDoes":["ChatTTS is a text-to-speech model, AI that reads text aloud. It is designed for conversation, such as giving voice to an AI assistant, and supports multiple speakers.","It can add natural touches like laughter, pauses and filler words. It currently supports English and Chinese.","Its makers say they deliberately lowered the audio quality of the released model and added faint noise to make misuse harder."],"whoFor":"Developers and researchers building voice features for chat apps.","useWithoutCoding":"Developers only","keywords":["text to speech","ai voice","read aloud","chinese","english"],"rating":2.5,"tags":[],"owner":{"name":"2noise","githubUrl":"https://github.com/2noise"},"license":"AGPL-3.0","stars":39916,"contributors":59,"monthlyDownloads":null,"lastPushedAt":"2026-04-10T16:33:48Z","sources":[{"site":"Hacker News","title":"ChatTTS-Best open source TTS Model","url":"https://news.ycombinator.com/item?id=40507039","date":"2024-05-29"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Download the project and install its Python requirements.","Launch the included web interface and type the text you want spoken."],"officialDownload":null},{"slug":"mlxtend","name":"mlxtend","repo":"rasbt/mlxtend","githubUrl":"https://github.com/rasbt/mlxtend","homepage":"https://rasbt.github.io/mlxtend/","pageUrl":"/repo/mlxtend","category":"Data science tools","tagline":"A Python library of handy extra tools for everyday machine-learning and data science work.","whatItDoes":["mlxtend (short for machine learning extensions) adds useful helpers to Python's data science tools. These include ways to combine several models, pick the most useful data features, draw charts that explain model results, and find patterns in shopping-basket-style data."],"whoFor":"Data scientists and students working with machine learning in Python.","useWithoutCoding":"Developers only","keywords":["machine learning","data science","python","feature selection","charts"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Sebastian Raschka","githubUrl":"https://github.com/rasbt"},"license":"NOASSERTION","stars":5186,"contributors":127,"monthlyDownloads":null,"lastPushedAt":"2026-10-09T16:56:32Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"openconnector","name":"OpenConnector","repo":"oomol-lab/open-connector","githubUrl":"https://github.com/oomol-lab/open-connector","homepage":"https://oomol.com/","pageUrl":"/repo/openconnector","category":"Developer building blocks","tagline":"A gateway that safely connects AI agents to everyday apps like Gmail, Slack, GitHub and Notion.","whatItDoes":["OpenConnector lets users connect their app accounts once and then gives AI agents a shared catalogue of ready-made actions across many services. Its makers present it as an open-source alternative to Pipedream and Composio.","It keeps passwords and sign-in tokens inside the gateway rather than handing them to the agent, and lets you set which actions are allowed. Every run is logged.","You can run it yourself with Docker or Node.js, or use the makers' hosted service."],"whoFor":"Developers building AI agent products that need access to users' work apps.","useWithoutCoding":"Developers only","keywords":["ai agent integrations","oauth","connect apps","mcp"],"rating":2.5,"tags":["New this week"],"owner":{"name":"OOMOL Lab","githubUrl":"https://github.com/oomol-lab"},"license":"Apache-2.0","stars":6046,"contributors":103,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:27:14Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"moli","name":"Moli","repo":"lexmount/moli","githubUrl":"https://github.com/lexmount/moli","homepage":"https://browser.lexmount.com/","pageUrl":"/repo/moli","category":"Developer building blocks","tagline":"A lightweight web browser without a screen, built for AI agents to read and use websites.","whatItDoes":["Moli is a \"headless\" browser: a full web browser that runs without a visible window, so programs and AI agents can use it.","It helps an AI agent fetch web pages, pull out their content, search the web and carry out browser tasks. Its makers say it only lays out and draws pages when needed, which keeps it light on computer resources.","It works on Linux, macOS and Windows and connects through standard browser-automation methods that tools like Playwright and Puppeteer use."],"whoFor":"Developers building AI agents or tools that need to work with websites.","useWithoutCoding":"Developers only","keywords":["headless browser","web scraping","ai agents","browser automation"],"rating":2.5,"tags":[],"owner":{"name":"LexMount","githubUrl":"https://github.com/lexmount"},"license":"Apache-2.0","stars":19481,"contributors":21,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:39:17Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Mac","Windows"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"darts","name":"Darts","repo":"unit8co/darts","githubUrl":"https://github.com/unit8co/darts","homepage":"https://unit8co.github.io/darts/","pageUrl":"/repo/darts","category":"Developer building blocks","tagline":"A Python toolkit for forecasting future values from past data and spotting unusual readings.","whatItDoes":["Darts works with time series, data recorded over time such as daily sales, energy use or sensor readings. It helps predict what comes next and flag points that look out of the ordinary.","It includes many forecasting methods, from classic statistics to deep learning, and they all work the same way, so it's easy to compare them. It can also combine several models, test them on past data, and take outside factors into account.","Some models can give a range of likely outcomes instead of a single guess."],"whoFor":"Data scientists and analysts who build forecasts or monitor data for problems.","useWithoutCoding":"Developers only","keywords":["forecasting","time series","predictions","anomaly detection"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Unit8 SA","githubUrl":"https://github.com/unit8co"},"license":"Apache-2.0","stars":9556,"contributors":184,"monthlyDownloads":154525,"lastPushedAt":"2026-10-17T08:54:13Z","sources":[{"site":"Hacker News","title":"Darts: A Python library for easy manipulation and forecasting of time series","url":"https://news.ycombinator.com/item?id=28155196","date":"2021-08-12"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"pycaret","name":"PyCaret","repo":"pycaret/pycaret","githubUrl":"https://github.com/pycaret/pycaret","homepage":"https://pycaret.org/","pageUrl":"/repo/pycaret","category":"Data science tools","tagline":"A self-hosted platform for building prediction models from your data with point-and-click screens.","whatItDoes":["PyCaret automates much of the work of building machine-learning models that predict things from data tables. The new version adds a web interface for managing projects, experiments, model versions and monitoring.","It runs on your own computer with Docker. The README says version 4.0 is still a work in progress, and an optional AI helper needs an Anthropic or OpenAI key."],"whoFor":"Data analysts and data scientists who want to build prediction models with less code.","useWithoutCoding":"With some setup","keywords":["automl","machine learning","prediction","data science"],"rating":2.5,"tags":["New this week"],"owner":{"name":"PyCaret","githubUrl":"https://github.com/pycaret"},"license":"NOASSERTION","stars":9854,"contributors":144,"monthlyDownloads":null,"lastPushedAt":"2026-07-23T00:34:25Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Docker Desktop.","Download the project and start it with Docker as the README describes.","Open the web page in your browser and create your admin account."],"officialDownload":null},{"slug":"mcp-registry","name":"MCP Registry","repo":"modelcontextprotocol/registry","githubUrl":"https://github.com/modelcontextprotocol/registry","homepage":"https://github.com/modelcontextprotocol/registry/tree/main/docs","pageUrl":"/repo/mcp-registry","category":"Add-ons for AI coding tools","tagline":"A shared directory that lists MCP servers, the add-ons that give AI apps new tools, like an app store.","whatItDoes":["MCP (Model Context Protocol) is a standard way to connect AI apps to outside tools and data. MCP servers are the add-ons that provide those connections.","This project is the registry service: a central list that AI apps can check to discover available MCP servers, and where developers can publish their own. Its makers compare it to an app store.","It is run by a community working group. The README says it is in preview, with its main interface now held stable while feedback is gathered before a full release."],"whoFor":"Developers who build MCP servers or AI apps that need to find them.","useWithoutCoding":"Developers only","keywords":["mcp","mcp servers","ai tools directory","registry","connectors"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Model Context Protocol","githubUrl":"https://github.com/modelcontextprotocol"},"license":"NOASSERTION","stars":7378,"contributors":78,"monthlyDownloads":null,"lastPushedAt":"2026-10-14T23:34:50Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Server"],"hardware":"Made for servers or data centres","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"agentmemory","name":"agentmemory","repo":"rohitg00/agentmemory","githubUrl":"https://github.com/rohitg00/agentmemory","homepage":"https://agent-memory.dev/","pageUrl":"/repo/agentmemory","category":"Add-ons for AI coding tools","tagline":"Gives AI coding assistants a lasting memory, so you don't have to re-explain your project each time.","whatItDoes":["AI coding assistants usually forget everything when you start a new session. agentmemory runs a small memory service on your computer that saves what happened in past sessions and lets the assistant look it up later.","It works with many assistants, including Claude Code, Cursor, Codex, Gemini CLI and GitHub Copilot CLI, and they can all share the same memory. It can work without any AI account key using simple keyword search, or with an AI provider for smarter, meaning-based search.","A guided setup asks which assistants to connect and starts the memory service for you."],"whoFor":"Programmers who use one or more AI coding assistants on ongoing projects.","useWithoutCoding":"With some setup","keywords":["ai memory","claude code","remember","coding assistant","cursor"],"rating":2.5,"tags":["Fast-rising"],"owner":{"name":"Rohit Ghumare","githubUrl":"https://github.com/rohitg00"},"license":"Apache-2.0","stars":29655,"contributors":51,"monthlyDownloads":35160,"lastPushedAt":"2026-10-18T05:32:16Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux","Windows"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Node.js, then run agentmemory's setup tool.","Pick which AI coding assistants to connect, and choose an AI provider or keyless mode."],"officialDownload":null},{"slug":"rowboat","name":"Rowboat","repo":"rowboatlabs/rowboat","githubUrl":"https://github.com/rowboatlabs/rowboat","homepage":"https://www.rowboatlabs.com/","pageUrl":"/repo/rowboat","category":"AI agents","tagline":"A desktop AI coworker that learns from your email, meetings and notes, then helps get work done.","whatItDoes":["Rowboat gathers your email, meetings, Slack and AI conversations into a linked web of notes, a \"knowledge graph\", and uses it as background when helping you.","It includes an email client that sorts important mail and drafts replies, a meeting note-taker that transcribes and summarises, a built-in browser, and background agents that run on a schedule or when new email arrives.","There is also a code mode that runs coding assistants like Claude Code or Codex, and you can build your own small apps inside it to share with others."],"whoFor":"Busy professionals who want an AI assistant that knows their work context.","useWithoutCoding":"Yes","keywords":["ai assistant","email","meeting notes","knowledge graph","productivity"],"rating":2.5,"tags":[],"owner":{"name":"RowBoat Labs","githubUrl":"https://github.com/rowboatlabs"},"license":"Apache-2.0","stars":18032,"contributors":23,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T05:47:57Z","sources":[{"site":"Hacker News","title":"Show HN: Rowboat – Open-source, local-first alternative to Claude Desktop","url":"https://news.ycombinator.com/item?id=48819808","date":"2026-07-07"},{"site":"Hacker News","title":"Show HN: Rowboat – AI coworker that turns your work into a knowledge graph (OSS)","url":"https://news.ycombinator.com/item?id=46962641","date":"2026-02-10"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":null,"needsApiKey":true,"firstSteps":["Download the app for Mac, Windows or Linux from the Rowboat website.","Connect Gmail, Calendar and Drive by following the project's Google setup guide.","Optionally add keys for voice input, voice output, web search or extra tools."],"officialDownload":"https://www.rowboatlabs.com/downloads"},{"slug":"munder-difflin","name":"Munder Difflin","repo":"HarnessMD/munder-difflin","githubUrl":"https://github.com/HarnessMD/munder-difflin","homepage":"https://munderdiffl.in/","pageUrl":"/repo/munder-difflin","category":"AI agents","tagline":"A desktop app that runs a team of AI coding agents as characters in a playful virtual office.","whatItDoes":["Munder Difflin wraps the terminal coding agents you may already use, such as Claude Code, Codex, Gemini CLI or Copilot CLI, and lets them work together. Each agent gets a memory, a mailbox and a desk on a 2D office floor.","A lead agent stands in for you: it hands out work, settles routine questions and only asks you about important things like spending or deleting. You can watch the agents, type into any of them, and see their files.","It also offers voice dictation into any app and meeting transcription on your own machine. Some features need the paid Pro plan."],"whoFor":"Developers who already use AI coding agents and want several of them working together while they are away.","useWithoutCoding":"With some setup","keywords":["ai agents team","claude code","multi-agent","dictation","meeting transcription"],"rating":2.5,"tags":["New this week"],"owner":{"name":"HarnessMD","githubUrl":"https://github.com/HarnessMD"},"license":"MIT","stars":8890,"contributors":60,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:15:00Z","sources":[{"site":"Hacker News","title":"Munder Difflin – Agent harness to run an office of your clones","url":"https://news.ycombinator.com/item?id=49398152","date":"2026-08-22"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the app for Mac, Windows or Linux from the project's releases page.","Make sure you have at least one terminal coding agent, such as Claude Code or Codex, set up with your account.","Open the app and add agents to the office floor."],"officialDownload":"https://github.com/HarnessMD/munder-difflin/releases"},{"slug":"semantica","name":"Semantica","repo":"semantica-agi/semantica","githubUrl":"https://github.com/semantica-agi/semantica","homepage":"https://getsemantica.ai/","pageUrl":"/repo/semantica","category":"Developer building blocks","tagline":"A code library that organises company data into a connected map of facts that AI agents can use and explain.","whatItDoes":["Semantica is a Python library for building a knowledge graph, a map of things and how they relate to each other, from a company's own data. AI agents can then use this map as context instead of relying only on loose text matches.","Its makers say it also keeps a record of where each piece of information came from and how a decision was reached. They describe this as useful in regulated fields where people may need to explain why an AI system gave a certain answer.","An AI language model is optional. The README says it works with many providers, including OpenAI, Anthropic and Gemini."],"whoFor":"Data and AI teams at companies who need structured, traceable context for their AI agents.","useWithoutCoding":"Developers only","keywords":["knowledge graph","company data","explainable ai","ai memory","audit trail"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Semantica ","githubUrl":"https://github.com/semantica-agi"},"license":"MIT","stars":14117,"contributors":137,"monthlyDownloads":14741,"lastPushedAt":"2026-10-17T11:41:49Z","sources":[{"site":"Hacker News","title":"Semantica, the Open Source Palantir for AI Agents","url":"https://news.ycombinator.com/item?id=49367995","date":"2026-08-19"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"tensorrt","name":"TensorRT","repo":"NVIDIA/TensorRT","githubUrl":"https://github.com/NVIDIA/TensorRT","homepage":"https://developer.nvidia.com/tensorrt","pageUrl":"/repo/tensorrt","category":"Running AI at scale","tagline":"NVIDIA's toolkit for making trained AI models run faster on NVIDIA graphics cards.","whatItDoes":["TensorRT is a software kit from NVIDIA for inference, which means running an AI model after it has been trained. It is designed to make models run quickly on NVIDIA graphics cards (GPUs).","This repository holds the open-source parts of TensorRT: add-ons called plugins, a tool that reads models saved in the common ONNX format, and sample apps. The main TensorRT release is downloaded separately from NVIDIA.","It is aimed at engineers who put AI models into products and need them to respond fast."],"whoFor":"Software engineers and AI teams who deploy models on NVIDIA hardware.","useWithoutCoding":"Developers only","keywords":["nvidia","faster ai","gpu","model speed"],"rating":2.5,"tags":["New this week"],"owner":{"name":"NVIDIA Corporation","githubUrl":"https://github.com/NVIDIA"},"license":"Apache-2.0","stars":13412,"contributors":90,"monthlyDownloads":220819,"lastPushedAt":"2026-10-09T17:55:04Z","sources":[{"site":"Hacker News","title":"Nvidia releases open-source GPU kernel modules","url":"https://news.ycombinator.com/item?id=31344981","date":"2022-05-11"},{"site":"Hacker News","title":"Nvidia announces native GPU programming in Rust","url":"https://news.ycombinator.com/item?id=49724881","date":"2026-09-16"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Windows"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"openui-thesysdev","name":"OpenUI","repo":"thesysdev/openui","githubUrl":"https://github.com/thesysdev/openui","homepage":"https://www.openui.com/","pageUrl":"/repo/openui-thesysdev","category":"Developer building blocks","tagline":"A toolkit that lets AI models answer with charts, forms and tables instead of only text.","whatItDoes":["OpenUI helps developers build apps where an AI model can reply with real interface pieces, such as charts, forms, tables and layouts, rather than plain text. This idea is called generative UI.","It uses its own compact language, OpenUI Lang, which the AI writes and the app turns into screen elements as the answer streams in. Its makers say it uses far fewer tokens (chunks of text the AI processes) than JSON.","It works with several popular web frameworks and includes ready-made chat screens and component libraries."],"whoFor":"Web developers adding AI chat or assistant features to their products.","useWithoutCoding":"Developers only","keywords":["generative ui","ai chat interface","react","charts from ai"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Thesys","githubUrl":"https://github.com/thesysdev"},"license":"MIT","stars":11872,"contributors":53,"monthlyDownloads":690107,"lastPushedAt":"2026-10-17T10:48:07Z","sources":[{"site":"Hacker News","title":"We rewrote our Rust WASM parser in TypeScript and it got faster","url":"https://news.ycombinator.com/item?id=47461094","date":"2026-03-20"},{"site":"Hacker News","title":"OUI-1: world's first model for Generative UI","url":"https://news.ycombinator.com/item?id=49613182","date":"2026-09-08"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"oumi","name":"Oumi","repo":"oumi-ai/oumi","githubUrl":"https://github.com/oumi-ai/oumi","homepage":"https://oumi.ai/","pageUrl":"/repo/oumi","category":"Training & fine-tuning","tagline":"An all-in-one open platform to prepare data, train, test and deploy AI language models.","whatItDoes":["Oumi is a toolkit that covers the full life of an AI model: preparing training data, fine-tuning (adjusting an existing model with your own examples), evaluating results and serving the model to users.","It supports many open models, such as Llama, Gemma, Qwen and DeepSeek, including models that read images. Recent additions focus on training models that use tools. It can also connect to commercial AI services.","Its makers say it runs anywhere from a laptop to large cloud clusters, and offer guided notebooks to try in Google Colab."],"whoFor":"Machine learning engineers and researchers who build or customise their own AI models.","useWithoutCoding":"Developers only","keywords":["fine-tuning","train ai model","llm training","model evaluation"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Oumi","githubUrl":"https://github.com/oumi-ai"},"license":"Apache-2.0","stars":9403,"contributors":54,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T16:33:40Z","sources":[{"site":"Hacker News","title":"Oumi-AI/oumi: Everything you need to build foundation models, end-to-end","url":"https://news.ycombinator.com/item?id=42879844","date":"2025-01-30"}],"checkedByPerson":false,"cost":"Free","runsOn":["Cloud"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"litgpt","name":"LitGPT","repo":"Lightning-AI/litgpt","githubUrl":"https://github.com/Lightning-AI/litgpt","homepage":"https://lightning.ai/","pageUrl":"/repo/litgpt","category":"Training & fine-tuning","tagline":"A code library for loading, fine-tuning and serving more than 20 open AI language models.","whatItDoes":["LitGPT gives programmers ready-made versions of many open language models, such as Llama, Phi, Gemma and Qwen. Each model is written from scratch in plain code, which its makers say makes it easier to understand and debug.","It includes recipes for the main jobs: using a model to answer prompts, fine-tuning it (adapting it to your own data), pretraining a new one and deploying it so other programs can use it. Its makers say it can save memory so models run on smaller graphics cards."],"whoFor":"Developers and researchers who want to train or adapt open language models with their own code.","useWithoutCoding":"Developers only","keywords":["fine-tune llm","train ai model","llama","open models","pytorch"],"rating":2.5,"tags":["New this week"],"owner":{"name":"⚡️ Lightning AI ","githubUrl":"https://github.com/Lightning-AI"},"license":"Apache-2.0","stars":13717,"contributors":138,"monthlyDownloads":9632,"lastPushedAt":"2026-10-13T06:03:13Z","sources":[{"site":"Hacker News","title":"How to Finetune GPT-Like Large Language Models on a Custom Dataset","url":"https://news.ycombinator.com/item?id=36068850","date":"2023-05-25"},{"site":"Hacker News","title":"LoRA from scratch: implementation for LLM finetuning","url":"https://news.ycombinator.com/item?id=39091777","date":"2024-01-22"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"openrig","name":"OpenRig","repo":"mvschwarz/openrig","githubUrl":"https://github.com/mvschwarz/openrig","homepage":"https://openrig.dev/","pageUrl":"/repo/openrig","category":"AI agents","tagline":"Organises Claude Code and Codex coding agents into a lasting team with roles and shared context.","whatItDoes":["OpenRig turns several AI coding agents into an organised team. You describe the team in a settings file and start it with one command. Claude Code and Codex agents can work in the same team.","You talk to a lead \"operator\" agent about what you want, and it coordinates the other agents. Teams keep their roles, shared context and assigned work over time, and a terminal dashboard shows what each one is doing."],"whoFor":"Developers who already use Claude Code or Codex and want several agents working together.","useWithoutCoding":"Developers only","keywords":["multi-agent","claude code","codex","agent team","coding agents"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Mike Schwarz","githubUrl":"https://github.com/mvschwarz"},"license":"Apache-2.0","stars":7807,"contributors":69,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:49:34Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"ouroboros","name":"Ouroboros","repo":"Q00/ouroboros","githubUrl":"https://github.com/Q00/ouroboros","homepage":"https://ouroboros.page/","pageUrl":"/repo/ouroboros","category":"Add-ons for AI coding tools","tagline":"Turns a vague idea into a clear plan your AI coding assistant can build, test and improve.","whatItDoes":["Ouroboros adds a structured workflow to AI coding assistants such as Claude Code, Codex, Gemini and others. Instead of loose prompting, it interviews you to pin down what you actually want.","It then turns the answers into a written specification, has the agent build it, checks the result and lets it try again and improve. Its makers say runs can be replayed and watched.","It runs locally and connects to many coding assistants, including through an MCP server."],"whoFor":"Developers who use AI coding assistants and want more predictable results.","useWithoutCoding":"With some setup","keywords":["claude code","coding agent","specification","ai workflow","codex"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Q00","githubUrl":"https://github.com/Q00"},"license":"MIT","stars":6243,"contributors":93,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T20:29:45Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Install Ouroboros using the setup script for your system described in the README.","Open your AI coding assistant and run the Ouroboros setup command once.","Describe your idea and answer its interview questions."],"officialDownload":null},{"slug":"chatgptbox","name":"ChatGPTBox","repo":"ChatGPTBox-dev/chatGPTBox","githubUrl":"https://github.com/ChatGPTBox-dev/chatGPTBox","homepage":null,"pageUrl":"/repo/chatgptbox","category":"Chat assistants","tagline":"A browser extension that brings ChatGPT and other AI models onto any web page you visit.","whatItDoes":["ChatGPTBox adds an AI chat box to your web browser. You can open it on any page with a keyboard shortcut, summarise a page from the right-click menu, or select text to translate, polish or explain it.","It also adds AI answers alongside search engine results and works with sites such as YouTube, Reddit and GitHub, for example to summarise videos. It can use many AI services, including ChatGPT, Claude and your own self-hosted or local models.","Its makers say the extension doesn't collect your data and only sends page content to your chosen AI service when you use an AI feature."],"whoFor":"Anyone who wants quick AI help while reading and writing on the web.","useWithoutCoding":"Yes","keywords":["browser extension","summarize web page","chatgpt","translate","chrome"],"rating":2.5,"tags":["New this week"],"owner":{"name":"ChatGPTBox-dev","githubUrl":"https://github.com/ChatGPTBox-dev"},"license":"MIT","stars":10766,"contributors":44,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:22:42Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Web browser","Phone"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install ChatGPTBox from your browser's extension store.","Open its settings and choose which AI service to use, then sign in or add your key.","Press the shortcut on any page to open the chat box."],"officialDownload":"https://github.com/ChatGPTBox-dev/chatGPTBox/releases"},{"slug":"microsandbox","name":"Microsandbox","repo":"superradcompany/microsandbox","githubUrl":"https://github.com/superradcompany/microsandbox","homepage":"https://docs.microsandbox.dev/","pageUrl":"/repo/microsandbox","category":"Running AI at scale","tagline":"Runs AI agents and untrusted code inside tiny, sealed-off virtual computers on your machine.","whatItDoes":["Microsandbox creates small virtual machines, separate mini-computers inside your computer, to run code you don't fully trust. Examples include AI agents, user-submitted code, plugins and automation.","Its makers say these sandboxes start in under a tenth of a second, can be copied or saved and restored, and keep secret keys from entering the sandbox. It runs standard container images like Docker does.","AI agents can create their own sandboxes through its agent skills and MCP server, a common way for AI tools to connect. The README says it is still beta software."],"whoFor":"Developers who need to run AI agents or other risky code safely.","useWithoutCoding":"Developers only","keywords":["sandbox","run code safely","ai agents","virtual machine","isolation"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Super Rad Company","githubUrl":"https://github.com/superradcompany"},"license":"Apache-2.0","stars":8729,"contributors":70,"monthlyDownloads":809171,"lastPushedAt":"2026-10-18T22:26:16Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"angel","name":"Angel","repo":"Angel-ML/angel","githubUrl":"https://github.com/Angel-ML/angel","homepage":null,"pageUrl":"/repo/angel","category":"Running AI at scale","tagline":"A system for training machine learning models on very large data across many computers.","whatItDoes":["Angel is a platform for training machine learning models when the data and the model are too big for one machine. It splits a model's settings across many servers and keeps them in step during training.","It was developed by Tencent and Peking University and is written in Java and Scala. It runs on Yarn and Spark, common tools for big data clusters.","It includes many ready-made methods, such as logistic regression, decision-tree methods and recommendation models, plus graph computing."],"whoFor":"Engineers at companies who train models on very large datasets.","useWithoutCoding":"Developers only","keywords":["big data","distributed training","spark","recommendation"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Angel","githubUrl":"https://github.com/Angel-ML"},"license":"NOASSERTION","stars":6795,"contributors":82,"monthlyDownloads":null,"lastPushedAt":"2026-10-13T03:34:19Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Server"],"hardware":"Made for servers or data centres","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"opendataloader-pdf","name":"OpenDataLoader PDF","repo":"opendataloader-project/opendataloader-pdf","githubUrl":"https://github.com/opendataloader-project/opendataloader-pdf","homepage":"https://opendataloader.org/","pageUrl":"/repo/opendataloader-pdf","category":"Documents & knowledge","tagline":"Pulls text, tables and layout out of PDFs so AI can use them, and helps make PDFs screen-reader friendly.","whatItDoes":["PDFs are hard for AI to read because headings, columns and tables get jumbled. OpenDataLoader PDF converts them into clean, structured text and records where each piece sits on the page. An optional mode adds text recognition for scanned pages.","It can also add hidden \"tags\" to PDFs so screen readers can read them aloud properly, which helps with accessibility rules. Some compliance export features are a paid add-on."],"whoFor":"Developers feeding documents into AI systems, and organisations making PDFs accessible.","useWithoutCoding":"Developers only","keywords":["pdf","extract tables","accessibility","ocr","documents"],"rating":2.5,"tags":[],"owner":{"name":"opendataloader-project","githubUrl":"https://github.com/opendataloader-project"},"license":"Apache-2.0","stars":29741,"contributors":30,"monthlyDownloads":205720,"lastPushedAt":"2026-10-19T01:45:14Z","sources":[{"site":"Hacker News","title":"OpenDataLoader-PDF: An open source tool for structured PDF parsing","url":"https://news.ycombinator.com/item?id=45347147","date":"2025-09-23"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"mlx-audio","name":"MLX-Audio","repo":"Blaizzy/mlx-audio","githubUrl":"https://github.com/Blaizzy/mlx-audio","homepage":"https://blaizzy.github.io/mlx-audio/","pageUrl":"/repo/mlx-audio","category":"Speech & audio","tagline":"A code library for speech, transcription and music AI that runs fast on Apple Silicon Macs.","whatItDoes":["MLX-Audio is a library for turning text into speech, speech into text, changing one voice recording into another and generating music. It is built on MLX, Apple's framework for running AI on its own chips.","It supports many models and languages, adjustable speaking speed and voice customisation, including voice cloning. It includes a web interface and a server that copies OpenAI's interface.","There is also a Swift package for building it into iPhone and Mac apps."],"whoFor":"Developers and hobbyists with Apple Silicon Macs who want local speech and audio AI.","useWithoutCoding":"Developers only","keywords":["text to speech","speech to text","mac","apple silicon","voice"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Prince Canuma","githubUrl":"https://github.com/Blaizzy"},"license":"MIT","stars":8059,"contributors":144,"monthlyDownloads":288017,"lastPushedAt":"2026-10-18T21:55:00Z","sources":[],"checkedByPerson":true,"cost":"Free","runsOn":["Mac"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"stanza","name":"Stanza","repo":"stanfordnlp/stanza","githubUrl":"https://github.com/stanfordnlp/stanza","homepage":"https://stanfordnlp.github.io/stanza/","pageUrl":"/repo/stanza","category":"Developer building blocks","tagline":"Stanford's code library for analysing text in more than 60 human languages.","whatItDoes":["Stanza is a Python library from the Stanford NLP Group for natural language processing, getting computers to understand human language. It splits text into words and sentences, works out grammar and spots names of people, places and organisations.","It supports more than 60 languages. It can also connect to Stanford's older Java tool, CoreNLP.","There are special models for biomedical papers and clinical notes."],"whoFor":"Researchers, students and developers who need to analyse text in many languages.","useWithoutCoding":"Developers only","keywords":["language analysis","nlp","grammar","named entities","multilingual"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"Stanford NLP","githubUrl":"https://github.com/stanfordnlp"},"license":"NOASSERTION","stars":7905,"contributors":81,"monthlyDownloads":765627,"lastPushedAt":"2026-10-19T01:28:41Z","sources":[{"site":"Research paper","title":"Stanza: A Python Natural Language Processing Toolkit for Many Human Languages","url":"https://arxiv.org/abs/2003.07082","date":"2020-03-01"},{"site":"Research paper","title":"Biomedical and clinical English model packages for the Stanza Python NLP library","url":"https://arxiv.org/abs/2007.14640","date":"2020-07-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"ludwig","name":"Ludwig","repo":"ludwig-ai/ludwig","githubUrl":"https://github.com/ludwig-ai/ludwig","homepage":"http://ludwig.ai/","pageUrl":"/repo/ludwig","category":"Training & fine-tuning","tagline":"Train or fine-tune AI models by filling in a short settings file instead of writing lots of code.","whatItDoes":["Ludwig is a framework for building and training AI models. Instead of writing a long program, you describe what you want in a short configuration file: which model to start from, what your data looks like and what the model should produce.","It can fine-tune large language models, meaning adapt an existing model to your own examples, and can also build models for tables of data, images, time series and more.","Its makers describe it as low-code. It is hosted by the Linux Foundation's AI & Data group."],"whoFor":"Data scientists and engineers who want to train custom models without writing a lot of training code.","useWithoutCoding":"Developers only","keywords":["fine-tune llm","train ai model","low code machine learning","custom model"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Ludwig","githubUrl":"https://github.com/ludwig-ai"},"license":"Apache-2.0","stars":11774,"contributors":160,"monthlyDownloads":2153,"lastPushedAt":"2026-10-12T22:15:58Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"wrenai","name":"WrenAI","repo":"Canner/WrenAI","githubUrl":"https://github.com/Canner/WrenAI","homepage":"https://www.getwren.ai/en/open-core","pageUrl":"/repo/wrenai","category":"Documents & knowledge","tagline":"Lets AI agents answer business questions from your databases and turn the answers into shareable dashboards.","whatItDoes":["WrenAI helps AI assistants turn plain-English questions, such as \"Who were our top customers this quarter?\", into database queries and charts. It works with more than 20 data sources, including PostgreSQL, Snowflake and BigQuery.","It stores your business definitions, like what counts as \"revenue\", in files your team can review, so the AI uses agreed meanings. It works with agents such as Claude Code and Cursor."],"whoFor":"Data and analytics teams who want AI help with business reporting.","useWithoutCoding":"Developers only","keywords":["business intelligence","text to sql","dashboards","data questions","analytics"],"rating":2.5,"tags":[],"owner":{"name":"Wren AI","githubUrl":"https://github.com/Canner"},"license":"NOASSERTION","stars":17895,"contributors":90,"monthlyDownloads":20831,"lastPushedAt":"2026-10-16T11:24:38Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Install the Wren command-line tool with Python's package installer.","Add the Wren skill to your AI coding agent, such as Claude Code or Cursor.","Ask your agent to connect your database, or to use the bundled sample data."],"officialDownload":null},{"slug":"nasiko","name":"Nasiko","repo":"Nasiko-Labs/nasiko","githubUrl":"https://github.com/Nasiko-Labs/nasiko","homepage":"https://www.nasiko.com/","pageUrl":"/repo/nasiko","category":"Running AI at scale","tagline":"Finds the AI coding agents a team runs, shows what each costs, and routes them to chosen models.","whatItDoes":["Nasiko aims to show in one place which AI coding agents (such as Claude Code, Codex, Cursor and OpenCode) are running, what they cost by tool and model, and what they did.","It can record agent sessions and send their AI requests to models you choose, and includes a dashboard for managing agents."],"whoFor":"Engineering teams who want to track and control spending on AI coding agents.","useWithoutCoding":"Developers only","keywords":["ai agent costs","coding agents","llm routing"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Nasiko Labs","githubUrl":"https://github.com/Nasiko-Labs"},"license":"NOASSERTION","stars":9470,"contributors":50,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T12:46:34Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Server"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"dsh-desktop","name":"DSH Desktop","repo":"dataelement/dsh-desktop","githubUrl":"https://github.com/dataelement/dsh-desktop","homepage":"https://dshdesktop.com/","pageUrl":"/repo/dsh-desktop","category":"AI agents","tagline":"A desktop app for running DeepSeek Harness AI agents, with built-in tools for making editable slide decks.","whatItDoes":["DSH Desktop packages DeepSeek Harness, a system for running AI agents, as an ordinary desktop app. It starts the agent system for you, so you don't need a terminal or a separate browser tab.","It works with official DeepSeek models and other major AI providers. You can save and share agent setups, add project folders, and continue sessions from your phone. A PPT mode turns your source material into editable PowerPoint decks, and offline skills handle Word, PowerPoint and Excel files.","Its makers describe it as an early preview, built on a fast-changing base. It's available in open-source and enterprise editions."],"whoFor":"People who want to use AI agents for work tasks like documents and presentations without touching the command line.","useWithoutCoding":"Yes","keywords":["ai agent app","deepseek","make slides","powerpoint","desktop"],"rating":2.5,"tags":[],"owner":{"name":"DataElem","githubUrl":"https://github.com/dataelement"},"license":"MIT","stars":15228,"contributors":26,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T10:00:51Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Phone"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Download the stable release for Mac or Windows from the official website.","Open the app and set up DeepSeek or another supported AI model provider."],"officialDownload":"https://www.dshdesktop.com/"},{"slug":"autogluon","name":"AutoGluon","repo":"autogluon/autogluon","githubUrl":"https://github.com/autogluon/autogluon","homepage":"https://auto.gluon.ai/","pageUrl":"/repo/autogluon","category":"Data science tools","tagline":"Builds accurate prediction models from your spreadsheet-style or time-based data with just a few lines of code.","whatItDoes":["AutoGluon automates machine learning, where a computer learns patterns from examples. You give it data, such as a table or a series of numbers over time, and say what you want to predict.","It then tries many kinds of models and finds the combination that works best. Its makers say you can do this in about three lines of code.","It handles tables, time-series forecasting, and mixed data such as text and images."],"whoFor":"Data scientists, analysts and developers who want good predictions without hand-tuning many models.","useWithoutCoding":"Developers only","keywords":["automl","predictions","forecasting","spreadsheet data","data science"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"autogluon","githubUrl":"https://github.com/autogluon"},"license":"Apache-2.0","stars":10786,"contributors":173,"monthlyDownloads":83070,"lastPushedAt":"2026-10-18T20:03:06Z","sources":[{"site":"Research paper","title":"AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data","url":"https://arxiv.org/abs/2003.06505","date":"2020-03-01"},{"site":"Research paper","title":"AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting","url":"https://arxiv.org/abs/2308.05566","date":"2023-08-01"},{"site":"Research paper","title":"Chronos: Learning the Language of Time Series","url":"https://arxiv.org/abs/2403.07815","date":"2024-03-01"},{"site":"Research paper","title":"AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models","url":"https://arxiv.org/abs/2404.16233","date":"2024-04-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Mac","Windows"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"img2threejs","name":"img2threejs","repo":"img2threejs/img2threejs","githubUrl":"https://github.com/img2threejs/img2threejs","homepage":"https://img2threejs.io/","pageUrl":"/repo/img2threejs","category":"3D & design","tagline":"Has an AI agent rebuild an object from a single photo as a 3D model made entirely of code.","whatItDoes":["You give img2threejs one picture of an object, and an AI coding agent rebuilds it as a 3D model for Three.js, a popular tool for 3D graphics in web browsers.","Instead of scanning or downloading 3D files, the model is built from simple shapes and generated textures written as code. It also includes moving parts and pivot points so the result is ready to animate.","It runs inside AI coding tools such as Claude Code, Codex or OpenCode. A gallery shows examples you can spin around in your browser."],"whoFor":"Web developers, game makers and 3D hobbyists who use AI coding agents.","useWithoutCoding":"Developers only","keywords":["3d model","image to 3d","threejs","web graphics"],"rating":2.5,"tags":[],"owner":{"name":"img2threejs","githubUrl":"https://github.com/img2threejs"},"license":"Apache-2.0","stars":18386,"contributors":3,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T21:41:15Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Look through the live demo gallery in your browser to see example models.","Use it from an AI coding agent such as Claude Code, Codex or OpenCode.","Give the agent one reference photo of an object to rebuild as a 3D model."],"officialDownload":null},{"slug":"genoffice","name":"GenOffice","repo":"genspark-ai/genoffice","githubUrl":"https://github.com/genspark-ai/genoffice","homepage":"https://genoffice.ai/","pageUrl":"/repo/genoffice","category":"Documents & knowledge","tagline":"A free office suite for documents, spreadsheets, slides and PDFs, with an AI helper that edits alongside you.","whatItDoes":["GenOffice is a free, open-source office suite for Mac, Windows and Linux. It opens and saves Word, Excel and PowerPoint files, and edits PDF, Markdown and web pages.","An AI helper sits next to each document. You ask for a change, and it shows exactly what it edited, with tracked changes and one-click undo. It can also search your files by what they say and answer questions across chosen files, pointing to its sources.","The README says files are opened, edited and converted on your own computer. Only the AI requests leave your machine, going to the provider you choose. You can sign in with Genspark or use your own key from many AI providers, including local servers."],"whoFor":"Anyone who works with office documents and wants an AI helper they can check, plus developers who want AI agents to edit Office files.","useWithoutCoding":"Yes","keywords":["office suite","word","excel","powerpoint","pdf","microsoft office alternative"],"rating":2.5,"tags":["New this week"],"owner":{"name":"genspark-ai","githubUrl":"https://github.com/genspark-ai"},"license":"Apache-2.0","stars":9958,"contributors":46,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T08:08:39Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the installer for your computer from the project's releases page.","Open GenOffice and either sign in with Genspark or add a key from the AI provider you prefer.","Open a document and ask the AI panel for the change you want."],"officialDownload":"https://github.com/genspark-ai/genoffice/releases"},{"slug":"hapi","name":"HAPI","repo":"tiann/hapi","githubUrl":"https://github.com/tiann/hapi","homepage":"https://hapi.run/","pageUrl":"/repo/hapi","category":"Add-ons for AI coding tools","tagline":"Control your AI coding agents running on your computer from your phone or a web browser.","whatItDoes":["HAPI wraps AI coding agents such as Claude Code, Codex, Cursor Agent and others, so you can start a session on your computer and keep working with it from elsewhere. You can approve the agent's requests from your phone with one tap.","It offers iOS and Android apps, a web app and a Telegram mini app, plus voice control. The README says it is a local-first alternative to a project called Happy, and its relay encrypts data from your device to your machine."],"whoFor":"Programmers who use AI coding agents and want to check in on them while away from their desk.","useWithoutCoding":"Developers only","keywords":["claude code remote","control ai from phone","codex","coding agent","remote control"],"rating":2.5,"tags":["New this week"],"owner":{"name":"weishu","githubUrl":"https://github.com/tiann"},"license":"AGPL-3.0","stars":5262,"contributors":109,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T13:12:17Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Phone","Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"gitdiagram","name":"GitDiagram","repo":"ahmedkhaleel2004/gitdiagram","githubUrl":"https://github.com/ahmedkhaleel2004/gitdiagram","homepage":"https://gitdiagram.com/","pageUrl":"/repo/gitdiagram","category":"Coding assistants","tagline":"See how any GitHub project is put together as an interactive diagram or a one-minute explainer video.","whatItDoes":["GitDiagram turns a software project on GitHub into an interactive diagram of its main parts and how they connect, with an AI-written explanation. Clicking a part takes you to the matching code.","It can also make a narrated video of about a minute explaining what the project does and how it's built. You can download diagrams as images and videos as MP4 files.","A shortcut: in any GitHub web address, replace \"hub\" with \"diagram\". AI assistants can also use it through an MCP connector, a standard way of plugging tools into AI apps."],"whoFor":"Developers, students and curious readers who want to quickly understand an unfamiliar codebase.","useWithoutCoding":"Yes","keywords":["code diagram","visualize code","github","architecture","explainer video"],"rating":2.5,"tags":[],"owner":{"name":"Ahmed Khaleel","githubUrl":"https://github.com/ahmedkhaleel2004"},"license":"MIT","stars":18313,"contributors":5,"monthlyDownloads":null,"lastPushedAt":"2026-10-14T01:20:21Z","sources":[{"site":"Hacker News","title":"Free, simple, fast interactive diagrams for any GitHub repository","url":"https://news.ycombinator.com/item?id=43550723","date":"2025-04-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Open the GitDiagram website and enter a GitHub project.","Or replace the word hub with diagram in any GitHub project's web address.","Explore the diagram, click parts to jump to the code, or press Video for an explainer."],"officialDownload":null},{"slug":"weclone","name":"WeClone","repo":"xming521/WeClone","githubUrl":"https://github.com/xming521/WeClone","homepage":"https://weclone.love/","pageUrl":"/repo/weclone","category":"Training & fine-tuning","tagline":"Trains an AI model on your own chat history so a chatbot can reply in your style.","whatItDoes":["WeClone takes your exported chat history, for example from Telegram, and uses it to fine-tune (further train) an AI model so it writes like you. The result can be connected to a chatbot on platforms such as Telegram, Discord or Slack.","It includes privacy filtering and runs on your own hardware. Its makers note that results depend on the model size and the amount of chat data, and that bigger models need powerful graphics cards."],"whoFor":"Technical hobbyists curious about personal AI chatbots.","useWithoutCoding":"Developers only","keywords":["digital twin","chatbot","fine-tune","chat history","ai avatar"],"rating":2.5,"tags":[],"owner":{"name":"xming","githubUrl":"https://github.com/xming521"},"license":"AGPL-3.0","stars":18306,"contributors":16,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T14:54:27Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Mac"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Export your chat history, for example from Telegram Desktop as JSON.","Set up the project on a computer with a capable graphics card, following the README.","Train the model on your chats, then try it out in the browser demo."],"officialDownload":null},{"slug":"mathematical-foundations-of-rl","name":"Mathematical Foundations of Reinforcement Learning","repo":"MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning","githubUrl":"https://github.com/MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning","homepage":null,"pageUrl":"/repo/mathematical-foundations-of-rl","category":"Learning resources","tagline":"A textbook with lecture videos that explains the maths behind reinforcement learning in a friendly way.","whatItDoes":["Reinforcement learning is a type of AI that learns by trial and error, earning rewards for good choices. This book explains its key ideas and classic methods from a mathematical point of view.","The author aims to show not just how each method works but why. The maths is kept at a manageable level, and every example uses a simple grid-world game. Each of the ten chapters builds on the one before.","It grew from the author's graduate course, and lecture videos are available in Chinese and English. Readers need some knowledge of probability and linear algebra."],"whoFor":"University students, researchers and practitioners who want a solid grounding in reinforcement learning.","useWithoutCoding":"Yes","keywords":["reinforcement learning","textbook","maths","course","lecture videos"],"rating":2.5,"tags":[],"owner":{"name":"Shiyu Zhao","githubUrl":"https://github.com/MathFoundationRL"},"license":null,"stars":18210,"contributors":2,"monthlyDownloads":null,"lastPushedAt":"2026-10-13T07:14:53Z","sources":[{"site":"Hacker News","title":"Mathematical Foundations of Reinforcement Learning","url":"https://news.ycombinator.com/item?id=43323946","date":"2025-03-10"}],"checkedByPerson":false,"cost":null,"runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Watch the lecture videos, available in English and Chinese on YouTube.","Read the book's chapters in order, since each one builds on the one before."],"officialDownload":null},{"slug":"qm","name":"QM","repo":"yc-software/qm","githubUrl":"https://github.com/yc-software/qm","homepage":"https://x.com/qm__dev","pageUrl":"/repo/qm","category":"AI agents","tagline":"A shared AI agent for a whole company, working in Slack and on the web with personal and team spaces.","whatItDoes":["QM is an AI agent built for startups and teams. Each employee gets their own private workspace with the agent, and people can also work with it together in Slack channels, group messages and projects.","It can search notes, email, documents and the web, build and share small internal apps, triage an inbox on a schedule, and work on code. It keeps separate memory, files and permissions for each person and room.","You run it in your own cloud with your own AI models and keys, and admins control which models and security settings are allowed."],"whoFor":"Startups and small companies that want one shared AI assistant for the team.","useWithoutCoding":"Developers only","keywords":["slack bot","team assistant","workplace ai","ai agent"],"rating":2.5,"tags":[],"owner":{"name":"Y Combinator","githubUrl":"https://github.com/yc-software"},"license":"MIT","stars":15443,"contributors":25,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T22:53:48Z","sources":[{"site":"Hacker News","title":"qm – Multiplayer agent harness for work","url":"https://news.ycombinator.com/item?id=49126604","date":"2026-07-31"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Cloud"],"hardware":"Made for servers or data centres","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Ask your AI coding assistant to deploy QM by following the repository's deployment guide.","It runs in your organisation's own cloud account, such as Fly or AWS, with your own models and keys.","Or try the third-party hosted version mentioned in the README."],"officialDownload":null},{"slug":"deep-rl-class","name":"Hugging Face Deep RL Course","repo":"huggingface/deep-rl-class","githubUrl":"https://github.com/huggingface/deep-rl-class","homepage":null,"pageUrl":"/repo/deep-rl-class","category":"Learning resources","tagline":"A free course for learning deep reinforcement learning, with hands-on exercises.","whatItDoes":["This is the free Deep Reinforcement Learning course from Hugging Face, where you learn to train agents that improve by trial and reward.","The repository holds the course text and notebooks; the lessons are read on the course website alongside hands-on practice.","Its makers note the course is now in a low-maintenance state, but say the theory and practical exercises remain a useful way to learn."],"whoFor":"Learners who want a free, hands-on introduction to deep reinforcement learning.","useWithoutCoding":"Developers only","keywords":["reinforcement learning","course","deep learning","tutorial","learn ai"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Hugging Face","githubUrl":"https://github.com/huggingface"},"license":"Apache-2.0","stars":5064,"contributors":113,"monthlyDownloads":null,"lastPushedAt":"2026-10-14T16:17:32Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"toonflow","name":"Toonflow","repo":"HBAI-Ltd/Toonflow-app","githubUrl":"https://github.com/HBAI-Ltd/Toonflow-app","homepage":"https://toonflow.net/","pageUrl":"/repo/toonflow","category":"Images & video","tagline":"An AI studio for making short dramas and motion comics, from script and storyboard to images and video clips.","whatItDoes":["Toonflow is an open-source tool for creators of short dramas, motion comics and short videos. Everything sits on one \"infinite canvas\": a large board where you arrange your script, characters, scenes and clips.","You write the story and shot list with help from an AI language model, create character and scene pictures with image models, then turn them into video clips shot by shot. What you can make depends on the AI models and services you connect.","It runs on your own device or server, and you can connect your own models, including local ones through ComfyUI. The README is in Chinese."],"whoFor":"Video creators, comic artists and storytellers who want to make short AI-assisted films.","useWithoutCoding":"Yes","keywords":["ai video","short drama","comic","storyboard","animation"],"rating":2.5,"tags":[],"owner":{"name":"HBAI-Ltd","githubUrl":"https://github.com/HBAI-Ltd"},"license":"MIT","stars":18114,"contributors":2,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T08:31:49Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Phone","Server"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the app from the project's GitHub releases page.","Connect an AI model service, or your own local models, in the settings.","Write your script on the canvas, then generate images and video clips shot by shot."],"officialDownload":"https://github.com/HBAI-Ltd/Toonflow-app/releases"},{"slug":"rikkahub","name":"RikkaHub","repo":"rikkahub/rikkahub","githubUrl":"https://github.com/rikkahub/rikkahub","homepage":"https://rikka-ai.com/","pageUrl":"/repo/rikkahub","category":"Chat assistants","tagline":"An Android chat app that lets you talk to many different AI models from one place.","whatItDoes":["RikkaHub is a chat app for Android phones. You connect it to the AI services you want, such as OpenAI, Google or Anthropic, or any service that works the same way, and switch between them in your conversations.","You can attach images, PDFs and documents, search the web, generate images and video, and use add-ons through MCP (a standard way to connect AI to outside tools). It also has file-based memory, translation and custom agents.","The README warns that many copied versions of the app exist and recommends using the official download to avoid privacy risks."],"whoFor":"Android users who want one app for chatting with several AI models.","useWithoutCoding":"Yes","keywords":["android ai app","chatgpt app","ai chat","multiple models"],"rating":2.5,"tags":["New this week"],"owner":{"name":"rikkahub","githubUrl":"https://github.com/rikkahub"},"license":"AGPL-3.0","stars":8268,"contributors":58,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T15:47:39Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Phone"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Install RikkaHub on your Android phone from Google Play or the official website.","Add an AI provider in the app using your API key.","Start a new chat and pick a model."],"officialDownload":null},{"slug":"ai-infra-guard","name":"A.I.G (AI-Infra-Guard)","repo":"Tencent/AI-Infra-Guard","githubUrl":"https://github.com/Tencent/AI-Infra-Guard","homepage":"https://tencent.github.io/AI-Infra-Guard/","pageUrl":"/repo/ai-infra-guard","category":"AI testing & safety","tagline":"A security testing platform that scans AI agents, tools and servers for weaknesses.","whatItDoes":["A.I.G, from Tencent, is a red-teaming platform. Red teaming means testing a system the way an attacker would, to find problems before someone else does.","It scans AI agents, agent skills and MCP servers (plug-ins that give AI new abilities), checks AI software for known security flaws, and tests how well AI models resist jailbreaks, tricks that get a model to break its own rules.","It runs as a web app with Docker. The README notes it has no login system and should only be used inside a company or on your own machine, not on the public internet."],"whoFor":"Security teams and AI engineers who need to check their AI systems for risks.","useWithoutCoding":"With some setup","keywords":["ai security","red teaming","vulnerability scan","jailbreak testing","mcp security"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Tencent","githubUrl":"https://github.com/Tencent"},"license":"Apache-2.0","stars":6909,"contributors":74,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T17:26:59Z","sources":[],"checkedByPerson":true,"cost":"Free","runsOn":["Server"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Install Docker, then start A.I.G using the project's Docker instructions.","Open the A.I.G web page on your own computer and choose what to scan."],"officialDownload":null},{"slug":"awesome-multimodal-llms","name":"Awesome Multimodal Large Language Models","repo":"BradyFU/Awesome-Multimodal-Large-Language-Models","githubUrl":"https://github.com/BradyFU/Awesome-Multimodal-Large-Language-Models","homepage":null,"pageUrl":"/repo/awesome-multimodal-llms","category":"Learning resources","tagline":"A research reading list on AI models that understand images, video and sound as well as text.","whatItDoes":["Multimodal large language models are AI models that can work with more than one kind of input, such as text, pictures, video and audio. This list collects research papers and datasets on the subject.","It is organised by topic, such as training, hallucination (when AI makes things up), reasoning and evaluation. The research group behind it also lists its own surveys and benchmarks for testing these models."],"whoFor":"Researchers and students following progress in multimodal AI.","useWithoutCoding":"Yes","keywords":["multimodal ai","research papers","vision language","reading list"],"rating":2.5,"tags":["Research-backed"],"owner":{"name":"Chaoyou Fu","githubUrl":"https://github.com/BradyFU"},"license":null,"stars":18055,"contributors":12,"monthlyDownloads":null,"lastPushedAt":"2026-10-01T02:35:51Z","sources":[{"site":"Research paper","title":"A Survey on Multimodal Large Language Models","url":"https://arxiv.org/abs/2306.13549","date":"2023-06-01"},{"site":"Research paper","title":"MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs","url":"https://arxiv.org/abs/2411.15296","date":"2024-11-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the list on GitHub and browse the sections that interest you."],"officialDownload":null},{"slug":"awesome-claude-skills","name":"Awesome Claude Skills","repo":"ComposioHQ/awesome-claude-skills","githubUrl":"https://github.com/ComposioHQ/awesome-claude-skills","homepage":null,"pageUrl":"/repo/awesome-claude-skills","category":"Learning resources","tagline":"A curated list of skills and plug-ins that teach Claude and other AI assistants to handle specific tasks.","whatItDoes":["Skills are reusable instruction packs that teach an AI assistant how to handle a certain kind of job, such as editing Word files, working with PDFs or writing legal summaries. This list gathers many of them in one place, sorted by topic.","Topics include documents, coding, data, business and marketing, writing, creative work, productivity and security. The README also explains what skills are and how they differ from connectors and tools.","It also promotes a plug-in from Composio, the list's maintainer, that connects Claude to many outside apps such as email and Slack."],"whoFor":"Anyone using Claude, Claude Code or similar assistants who wants to find ready-made skills.","useWithoutCoding":"Yes","keywords":["claude skills","plugins","prompts","productivity","curated list"],"rating":2.5,"tags":[],"owner":{"name":"Composio","githubUrl":"https://github.com/ComposioHQ"},"license":null,"stars":77394,"contributors":29,"monthlyDownloads":null,"lastPushedAt":"2026-09-18T07:16:11Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Browse the list by category to find a skill for your task.","Open the skill's page and follow its instructions to add it to Claude."],"officialDownload":null},{"slug":"smile","name":"SMILE","repo":"haifengl/smile","githubUrl":"https://github.com/haifengl/smile","homepage":"https://haifengl.github.io/","pageUrl":"/repo/smile","category":"Data science tools","tagline":"A broad machine learning toolkit for Java, Scala and Kotlin programs.","whatItDoes":["SMILE is a machine learning framework for the Java platform, also usable from Scala and Kotlin. It covers classic methods like classification, regression and clustering, plus deep learning and running Llama language models.","It also includes SMILE Serve, a server that runs models for other programs, and SMILE Studio, a coding workspace where you can explore data by asking in plain language."],"whoFor":"Java, Scala and Kotlin developers and data scientists.","useWithoutCoding":"Developers only","keywords":["machine learning","java","data science","scala","kotlin"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Haifeng Li","githubUrl":"https://github.com/haifengl"},"license":"NOASSERTION","stars":6422,"contributors":81,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:44:00Z","sources":[{"site":"Hacker News","title":"SmileMiner – A Java library of state-of-art machine learning algorithms","url":"https://news.ycombinator.com/item?id=9131991","date":"2015-03-02"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"rllm","name":"rLLM","repo":"rllm-org/rllm","githubUrl":"https://github.com/rllm-org/rllm","homepage":"https://docs.rllm-project.com/","pageUrl":"/repo/rllm","category":"Training & fine-tuning","tagline":"A framework for training AI agents to get better at tasks through trial and reward.","whatItDoes":["rLLM is a framework for training language-model agents with reinforcement learning, where the AI tries tasks, gets scored and learns from the results.","It works with many existing agent tools, including Claude Code and Codex, runs them in sandboxes, and includes more than 60 tests in areas like maths, coding and search.","Its makers say it has been used to train several open models and by academic and industry research teams."],"whoFor":"AI researchers and engineers training their own agent models.","useWithoutCoding":"Developers only","keywords":["reinforcement learning","train ai agents","llm training","research"],"rating":2.5,"tags":["New this week"],"owner":{"name":"rllm-org","githubUrl":"https://github.com/rllm-org"},"license":"Apache-2.0","stars":5883,"contributors":91,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T19:02:56Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Server","Linux"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"rf-detr","name":"RF-DETR","repo":"roboflow/rf-detr","githubUrl":"https://github.com/roboflow/rf-detr","homepage":"https://rfdetr.roboflow.com/","pageUrl":"/repo/rf-detr","category":"AI models & research","tagline":"A fast AI model that spots and outlines objects in images and video in real time.","whatItDoes":["RF-DETR is an object-detection model from Roboflow. It looks at an image or video frame and finds things like people, cars or products, drawing boxes or exact outlines around them. It can also find key points (preview).","It comes in several sizes, from very small and quick to large and more accurate. Its makers say it achieves top results on standard tests and is designed to be fine-tuned, meaning retrained on your own images.","It's used from Python code, so it's a building block for developers rather than an app."],"whoFor":"Developers and researchers building computer-vision features, such as counting, tracking or quality checks.","useWithoutCoding":"Developers only","keywords":["object detection","computer vision","segmentation","image recognition"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"Roboflow","githubUrl":"https://github.com/roboflow"},"license":"Apache-2.0","stars":9831,"contributors":115,"monthlyDownloads":219612,"lastPushedAt":"2026-10-16T10:12:55Z","sources":[{"site":"Research paper","title":"RF-DETR paper","url":"https://arxiv.org/abs/2511.09554","date":"2025-11-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"autoharness","name":"AutoHarness","repo":"tigerless-labs/autoharness","githubUrl":"https://github.com/tigerless-labs/autoharness","homepage":"https://github.com/tigerless-labs/autoharness","pageUrl":"/repo/autoharness","category":"Add-ons for AI coding tools","tagline":"A Claude Code plug-in that learns reusable skills from your own work sessions and tidies them over time.","whatItDoes":["AutoHarness is a plug-in for Claude Code, an AI coding assistant. As you work, it watches your sessions and writes down useful lessons as skills, which are instructions the assistant can reuse later.","It merges skills that cover the same situation, updates them as they are used, and removes ones that stop being used. Its makers say it only touches the skills it wrote itself and leaves yours alone.","It runs in the background with no setup beyond installing it, and you can also ask it to save a lesson right away."],"whoFor":"Programmers who use Claude Code and want it to remember lessons from past work.","useWithoutCoding":"Developers only","keywords":["claude code plugin","ai memory","agent skills","self-learning"],"rating":2.5,"tags":["New this week"],"owner":{"name":"tigerless-labs","githubUrl":"https://github.com/tigerless-labs"},"license":"MIT","stars":11137,"contributors":38,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T16:22:50Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Make sure a recent version of Python is installed on your computer.","Add the AutoHarness plug-in from Claude Code's plug-in menu, then restart Claude Code."],"officialDownload":null},{"slug":"xerj","name":"XERJ","repo":"xerj-org/xerj","githubUrl":"https://github.com/xerj-org/xerj","homepage":"https://xerj.org/","pageUrl":"/repo/xerj","category":"Add-ons for AI coding tools","tagline":"A local search engine that helps AI coding agents find the right code without reading every file.","whatItDoes":["XERJ indexes a folder of code, documents, logs or PDFs on your own machine so they can be searched quickly. Coding agents can then ask for exactly the passages they need instead of reading files one by one, which its makers say saves a lot of AI usage.","Its main use is \"reference coding\": the agent downloads open-source projects similar to yours, indexes them, and looks at how they solved a problem before writing code.","It is a single program for Mac, Windows and Linux and speaks the same language as the Elasticsearch search engine. The README warns its quick-start mode has no password and is meant for one person on their own computer."],"whoFor":"Developers who use coding agents like Claude Code or Cursor and want faster, cheaper code search.","useWithoutCoding":"With some setup","keywords":["code search","local search engine","claude code","cursor","save tokens"],"rating":2.5,"tags":["New this week"],"owner":{"name":"xerj-org","githubUrl":"https://github.com/xerj-org"},"license":"Apache-2.0","stars":8467,"contributors":55,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:48:39Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install XERJ with its one-line installer for Mac, Linux or Windows.","Run its setup step to connect it to Claude Code or Cursor, then index your project folder."],"officialDownload":null},{"slug":"llama-cookbook","name":"Llama Cookbook","repo":"meta-llama/llama-cookbook","githubUrl":"https://github.com/meta-llama/llama-cookbook","homepage":"https://www.llama.com/","pageUrl":"/repo/llama-cookbook","category":"Learning resources","tagline":"Meta's official recipes and examples for building with its Llama AI models.","whatItDoes":["The Llama Cookbook is Meta's official guide to working with Llama, its family of openly available AI models for text and images. It used to be called llama-recipes.","It contains getting-started notebooks for running the models, fine-tuning them on your own data and connecting them to your documents, plus complete example projects such as a WhatsApp bot, a research-paper analyser and a book character mind-map. There are also guides for using Llama through various cloud providers."],"whoFor":"Developers who want to build apps with Llama models.","useWithoutCoding":"Developers only","keywords":["llama","meta ai","recipes","examples","fine-tuning"],"rating":2.5,"tags":[],"owner":{"name":"Meta Llama","githubUrl":"https://github.com/meta-llama"},"license":"MIT","stars":18565,"contributors":140,"monthlyDownloads":null,"lastPushedAt":"2026-05-19T18:42:31Z","sources":[{"site":"Hacker News","title":"Ollama is now powered by MLX on Apple Silicon in preview","url":"https://news.ycombinator.com/item?id=47582482","date":"2026-03-31"},{"site":"Hacker News","title":"Ollama now supports AMD graphics cards","url":"https://news.ycombinator.com/item?id=39718558","date":"2024-03-15"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"vibe-coding-cn","name":"vibe-coding-cn","repo":"tradecatlabs/vibe-coding-cn","githubUrl":"https://github.com/tradecatlabs/vibe-coding-cn","homepage":"https://tradecatlabs.com/","pageUrl":"/repo/vibe-coding-cn","category":"Learning resources","tagline":"A Chinese-language toolkit of guides, prompts and skills for building software with AI assistants.","whatItDoes":["\"Vibe coding\" means building software mostly by describing what you want to an AI assistant. This project collects Chinese-language material for doing that, built around the Pi Agent tool and OpenAI's GPT models.","It includes a beginner's path, from setting up your computer and tools to finishing a first small project and saving it with Git. It also has guides on planning and problem-solving, a prompt library, and reusable skills.","Its approach stresses planning first, keeping clear notes for the AI, and checking the AI's work at each step."],"whoFor":"Chinese-speaking beginners and developers who want a structured way to code with AI assistants.","useWithoutCoding":"Developers only","keywords":["vibe coding","ai coding","prompts","chinese","beginner guide"],"rating":2.5,"tags":[],"owner":{"name":"tradecatlabs","githubUrl":"https://github.com/tradecatlabs"},"license":"MIT","stars":17675,"contributors":4,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T21:15:10Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Start with the project's beginner learning map, written in Chinese.","Set up the Pi Agent tool with an OpenAI GPT model you are authorised to use.","Load the project's skills into Pi Agent, then describe your task."],"officialDownload":null},{"slug":"roboflow-notebooks","name":"Roboflow Notebooks","repo":"roboflow/notebooks","githubUrl":"https://github.com/roboflow/notebooks","homepage":"https://roboflow.com/models","pageUrl":"/repo/roboflow-notebooks","category":"Learning resources","tagline":"A large set of hands-on tutorials for computer vision, teaching AI to understand images.","whatItDoes":["This is a collection of tutorial notebooks about computer vision, the part of AI that understands pictures and video. Notebooks are documents that mix explanations with code you can run.","They cover tasks such as spotting objects, outlining shapes, tracking movement and reading text from images, using many well-known models.","Each notebook can be opened in free online services such as Google Colab or Kaggle."],"whoFor":"Students and developers learning computer vision by doing.","useWithoutCoding":"Developers only","keywords":["computer vision tutorials","object detection","image ai","yolo","colab"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Roboflow","githubUrl":"https://github.com/roboflow"},"license":null,"stars":9719,"contributors":45,"monthlyDownloads":null,"lastPushedAt":"2026-09-22T15:05:46Z","sources":[{"site":"Hacker News","title":"ImageNet contains naturally occurring Apple NeuralHash collisions","url":"https://news.ycombinator.com/item?id=28236102","date":"2021-08-19"},{"site":"Hacker News","title":"First Impressions with GPT-4V(ision)","url":"https://news.ycombinator.com/item?id=37673409","date":"2023-09-27"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser","Cloud"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Pick a tutorial from the list in the README.","Open it in Google Colab or Kaggle and run the steps."],"officialDownload":null},{"slug":"cloudcli","name":"CloudCLI (Claude Code UI)","repo":"siteboon/claudecodeui","githubUrl":"https://github.com/siteboon/claudecodeui","homepage":"https://cloudcli.ai/","pageUrl":"/repo/cloudcli","category":"Add-ons for AI coding tools","tagline":"A visual screen for running AI coding helpers such as Claude Code, Cursor CLI and Codex from a browser or phone.","whatItDoes":["Some AI coding helpers only work inside a terminal, a text-only window for typing commands. CloudCLI puts a friendlier screen on top, with a chat area, a file browser, a view of code changes and a list of past sessions.","It works on desktop, tablet and mobile browsers, so you can keep an eye on coding work when you are away from your desk. Its makers say it picks up your existing sessions on its own.","You can run the open-source version on your own computer for free, or pay for the makers' hosted cloud version. In both cases you bring your own AI subscription, such as Claude or Cursor."],"whoFor":"Programmers who already use Claude Code, Cursor CLI or Codex and want a visual interface they can also reach from a phone.","useWithoutCoding":"With some setup","keywords":["claude code app","coding from phone","ai coding interface","remote coding"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Siteboon","githubUrl":"https://github.com/siteboon"},"license":"AGPL-3.0","stars":14166,"contributors":110,"monthlyDownloads":11951,"lastPushedAt":"2026-10-17T08:38:21Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Mac","Windows","Linux","Web browser","Phone","Cloud"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install Node.js, then install CloudCLI with Node's package installer, or try the makers' hosted cloud version instead.","Turn on only the tools you need in the settings, since they start switched off."],"officialDownload":"https://github.com/siteboon/claudecodeui/releases"},{"slug":"ego-lite","name":"ego lite","repo":"citrolabs/ego-lite","githubUrl":"https://github.com/citrolabs/ego-lite","homepage":"https://lite.ego.app/","pageUrl":"/repo/ego-lite","category":"Add-ons for AI coding tools","tagline":"A web browser where AI agents like Claude Code do web tasks in their own space while you keep browsing.","whatItDoes":["ego lite is a web browser built for sharing with AI agents. Each agent gets its own separate \"Space\" inside the browser, so it can fill in forms or gather information while you keep using your own tabs.","It can bring over your Chrome logins, cookies and bookmarks, so the agent can work on sites where you are already signed in. Agents such as Claude Code, Codex and Cursor control it through a skill called ego-browser.","Its makers say your browsing data stays on your device. It runs on macOS for now."],"whoFor":"People who use AI coding agents and want them to handle web tasks on sites they are signed in to.","useWithoutCoding":"With some setup","keywords":["browser automation","ai agent browser","claude code","mac","web tasks"],"rating":2.5,"tags":[],"owner":{"name":"CitroLabs","githubUrl":"https://github.com/citrolabs"},"license":"MIT","stars":17633,"contributors":11,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T09:10:21Z","sources":[{"site":"Hacker News","title":"Show HN: Ego lite – why our browser agent writes JavaScript not CLI commands","url":"https://news.ycombinator.com/item?id=48337671","date":"2026-05-30"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Download the macOS app for Apple Silicon or Intel and open it to install.","On first launch, choose whether to bring over your Chrome logins and bookmarks.","In your AI agent, ask for a web task using the ego-browser skill."],"officialDownload":null},{"slug":"nanobrowser","name":"Nanobrowser","repo":"nanobrowser/nanobrowser","githubUrl":"https://github.com/nanobrowser/nanobrowser","homepage":"https://nanobrowser.ai/","pageUrl":"/repo/nanobrowser","category":"AI agents","tagline":"A browser add-on that lets an AI assistant click, type and move between tabs to finish tasks for you.","whatItDoes":["Nanobrowser is an extension for the Chrome and Edge web browsers. You type a task into a side panel in plain words, and an AI agent reads the pages, clicks links, fills in text and moves between tabs to get it done.","By default it asks you before it submits, sends, deletes or uploads anything, and it hands steps like paying or entering a password back to you. You can also allow, limit or block it site by site.","You choose the AI model: a cloud service using your own key, or a model running on your own computer. Its makers say everything runs in your browser and your keys only go to the provider you pick."],"whoFor":"People who want to hand repetitive web chores to an AI while keeping control over what it is allowed to do.","useWithoutCoding":"Yes","keywords":["browser assistant","automate web tasks","chrome extension","ai agent","fill in forms"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Nanobrowser","githubUrl":"https://github.com/nanobrowser"},"license":"Apache-2.0","stars":14118,"contributors":27,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T15:44:39Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Add Nanobrowser to Chrome or Edge from the Chrome Web Store.","Follow the welcome page to connect a cloud AI provider or a model on your own computer.","Open the side panel and describe the task you want done."],"officialDownload":null},{"slug":"causalml","name":"Causal ML","repo":"uber/causalml","githubUrl":"https://github.com/uber/causalml","homepage":null,"pageUrl":"/repo/causalml","category":"Developer building blocks","tagline":"A Python toolkit that estimates how much an action, like an ad or offer, actually changes people's behaviour.","whatItDoes":["Causal ML uses machine learning to answer cause-and-effect questions. Instead of just spotting patterns, it estimates the real impact of an action, such as sending an offer, on an outcome like a sale, and how that impact differs from person to person.","The README gives examples like choosing which customers to target with an ad campaign, and picking the best way to contact each customer. This approach is often called uplift modeling.","It includes several estimation methods, guidance on choosing between them, and standard test datasets."],"whoFor":"Data scientists and analysts who run experiments or marketing campaigns and need to measure real effects.","useWithoutCoding":"Developers only","keywords":["cause and effect","uplift modeling","marketing experiments","ab testing"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"Uber Open Source","githubUrl":"https://github.com/uber"},"license":"NOASSERTION","stars":6027,"contributors":85,"monthlyDownloads":null,"lastPushedAt":"2026-10-12T15:51:25Z","sources":[{"site":"Research paper","title":"CausalML: Python package for causal machine learning","url":"https://arxiv.org/abs/2002.11631","date":"2020-02-01"},{"site":"Research paper","title":"Feature Selection Methods for Uplift Modeling","url":"https://arxiv.org/abs/2005.03447","date":"2020-05-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"yuxi","name":"Yuxi","repo":"xerrors/Yuxi","githubUrl":"https://github.com/xerrors/Yuxi","homepage":"https://xerrors.github.io/Yuxi/","pageUrl":"/repo/yuxi","category":"Documents & knowledge","tagline":"A self-hosted platform where teams build AI agents that answer from their own documents and knowledge.","whatItDoes":["Yuxi is a platform that an organisation runs on its own servers. It combines a knowledge base, where you upload documents to be searched, with AI agents that can answer questions and carry out multi-step tasks.","It can build a knowledge graph, a map of people, things and how they relate, from your documents. Agents can use tools, MCP connections, skills and a safe sandbox, and can produce files to preview or download.","Admins manage users, departments, models and permissions in one place. It works with providers like OpenAI, Anthropic, DeepSeek and Qwen, or self-hosted models."],"whoFor":"Companies and teams who want private, self-hosted AI agents over their own knowledge.","useWithoutCoding":"With some setup","keywords":["knowledge base","company documents","rag","self-hosted","ai agents"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Wenjie Zhang","githubUrl":"https://github.com/xerrors"},"license":"MIT","stars":7426,"contributors":64,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T09:47:27Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Server"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Install Docker and get an API key for an AI model service.","Download Yuxi, run its setup script and start it with Docker.","Open the web page, create the admin account and sign in."],"officialDownload":null},{"slug":"atlas-agents","name":"Atlas","repo":"pacifio/atlas","githubUrl":"https://github.com/pacifio/atlas","homepage":"https://www.tryatlas.cc/","pageUrl":"/repo/atlas-agents","category":"Coding assistants","tagline":"A desktop app for running several AI coding agents side by side and keeping a record of what each changed.","whatItDoes":["Atlas is described as source control for coding agents. Source control is the system programmers use to track every change to their code. Atlas links each saved change back to the AI session that made it, including the prompts and steps taken.","You can run Claude Code, Codex, Atlas's own agent and others in the same window on the same project. A shared memory means one agent can pick up what another decided, so switching agents does not mean starting over.","Its makers say code, notes and sessions stay on your machine by default, and it works offline without an account. Signing in is only needed to sync with a team."],"whoFor":"Programmers who use AI coding agents and want to track and share what those agents did.","useWithoutCoding":"With some setup","keywords":["coding agents","claude code","codex","agent history","git"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Adib Mohsin","githubUrl":"https://github.com/pacifio"},"license":"Apache-2.0","stars":9619,"contributors":45,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T09:59:08Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Mac","Windows"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the Mac or Windows installer from the project's website or releases page.","Open a code project in Atlas and choose which AI coding agent to run."],"officialDownload":"https://github.com/pacifio/atlas/releases"},{"slug":"awesome-video-diffusion","name":"Awesome Video Diffusion","repo":"showlab/Awesome-Video-Diffusion","githubUrl":"https://github.com/showlab/Awesome-Video-Diffusion","homepage":null,"pageUrl":"/repo/awesome-video-diffusion","category":"Learning resources","tagline":"A curated list of research and tools for AI that generates and edits video.","whatItDoes":["This list collects research projects about diffusion models for video, the AI technique behind many video generators.","It is sorted into topics such as video generation, editing, restoration, character and motion control, long videos, talking heads, 3D and video understanding. Most entries link to a paper, code or project page."],"whoFor":"Researchers, students and enthusiasts following AI video generation.","useWithoutCoding":"Yes","keywords":["ai video","video generation","diffusion models","research list"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Show Lab","githubUrl":"https://github.com/showlab"},"license":null,"stars":5812,"contributors":89,"monthlyDownloads":null,"lastPushedAt":"2026-10-05T09:32:12Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the list on GitHub and pick a topic from the table of contents."],"officialDownload":null},{"slug":"big-agi","name":"Big-AGI","repo":"enricoros/big-AGI","githubUrl":"https://github.com/enricoros/big-AGI","homepage":"https://big-agi.com/","pageUrl":"/repo/big-agi","category":"Chat assistants","tagline":"A web-based AI chat workspace that lets you use and compare many AI models side by side.","whatItDoes":["Big-AGI is a chat app that works with many AI providers, such as OpenAI, Anthropic, Google and others. You bring your own API keys, and its makers say it doesn't charge for or limit model use.","A feature called Beam sends the same question to several models at once and helps you merge the best answers. It also offers personas, voice, image generation, PDF import, web search and code highlighting.","This repository is the free, open-source version you can host yourself. There is also a hosted version with a free tier and a paid plan that adds syncing across devices."],"whoFor":"People who use several AI models and want one powerful workspace for them, including IT teams that want to self-host.","useWithoutCoding":"With some setup","keywords":["chatgpt alternative","multi-model chat","ai workspace","self-hosted chat","claude"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Enrico Ros","githubUrl":"https://github.com/enricoros"},"license":"MIT","stars":7149,"contributors":67,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T17:26:52Z","sources":[{"site":"Hacker News","title":"Show HN: Beam – Find Better Answers with Multi-Model AI Reasoning","url":"https://news.ycombinator.com/item?id=39900360","date":"2024-04-01"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Web browser","Server"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Open the hosted Big-AGI website, or self-host it using Docker following the project's guide.","Add your API keys for the AI providers you want to use.","Start a chat, or try Beam to ask several models the same question."],"officialDownload":null},{"slug":"labelme","name":"Labelme","repo":"wkentaro/labelme","githubUrl":"https://github.com/wkentaro/labelme","homepage":"https://labelme.io/","pageUrl":"/repo/labelme","category":"Training & fine-tuning","tagline":"A drawing tool for marking objects in images and videos to create training data for AI.","whatItDoes":["To teach an AI to recognise things in pictures, people first label examples, for instance drawing an outline around every car in a photo. Labelme is an app for doing that.","You can draw polygons, boxes, circles, lines and points, tag whole images, and label video. AI helpers can turn a single click, or a typed description, into an outline automatically. Labels can be exported in common formats used to train vision models.","It is available in about 20 languages."],"whoFor":"Researchers, students and teams preparing image data for computer vision.","useWithoutCoding":"With some setup","keywords":["image labeling","annotation","training data","computer vision"],"rating":2.5,"tags":[],"owner":{"name":"Kentaro Wada","githubUrl":"https://github.com/wkentaro"},"license":"GPL-3.0","stars":16230,"contributors":89,"monthlyDownloads":28719,"lastPushedAt":"2026-10-16T13:24:59Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install Labelme with Python's package installer, or buy the standalone app from the Labelme website.","Open Labelme and choose an image or a folder of images."],"officialDownload":"https://www.labelme.io/docs/install-labelme-app"},{"slug":"xinference","name":"Xorbits Inference (Xinference)","repo":"xorbitsai/inference","githubUrl":"https://github.com/xorbitsai/inference","homepage":"https://inference.readthedocs.io/","pageUrl":"/repo/xinference","category":"Running AI at scale","tagline":"Server software that runs open AI models for text, speech and images behind one common doorway.","whatItDoes":["Xinference lets you run many open-source AI models on your own machines, from a laptop to a data centre. It offers an API (a doorway that lets programs talk to it) that works like OpenAI's, so apps built for OpenAI can switch to your own models.","It supports language, speech, image and multimodal models, and can use several different engines underneath. It can spread work across several computers.","Besides the free open-source version, there is a paid Enterprise edition and a hosted cloud service."],"whoFor":"Developers and teams who want to host open AI models themselves instead of paying per use for a cloud API.","useWithoutCoding":"With some setup","keywords":["self-hosted ai","openai alternative","model server","open source llm"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Xorbits","githubUrl":"https://github.com/xorbitsai"},"license":"Apache-2.0","stars":9615,"contributors":181,"monthlyDownloads":4440,"lastPushedAt":"2026-10-18T15:15:48Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Xinference with Python's package installer or with Docker.","Start it and choose a built-in model to launch, then connect your apps to it."],"officialDownload":null},{"slug":"llama-swap","name":"llama-swap","repo":"mostlygeek/llama-swap","githubUrl":"https://github.com/mostlygeek/llama-swap","homepage":null,"pageUrl":"/repo/llama-swap","category":"Run AI on your computer","tagline":"Switches between several local AI models automatically, loading whichever one an app asks for.","whatItDoes":["llama-swap sits in front of local AI servers such as llama.cpp and vLLM. When an app asks for a model, it starts that model and stops others, so you can use many models on one machine.","It speaks the OpenAI and Anthropic API styles, so many apps can connect to it. It also supports image generation, speech and transcription servers, and has a web page for logs and status.","Its makers say it is one program and one settings file, with no other dependencies."],"whoFor":"People running several local AI models who want apps to switch between them smoothly.","useWithoutCoding":"With some setup","keywords":["local ai","model switching","llama.cpp","self-hosted"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Benson Wong","githubUrl":"https://github.com/mostlygeek"},"license":"MIT","stars":6010,"contributors":84,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T06:41:29Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux","Windows"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install llama-swap using Docker or your computer's package manager.","Write a settings file listing your local models.","Point your AI apps at llama-swap."],"officialDownload":null},{"slug":"rocketride","name":"RocketRide","repo":"rocketride-org/rocketride-server","githubUrl":"https://github.com/rocketride-org/rocketride-server","homepage":null,"pageUrl":"/repo/rocketride","category":"App builders & workflows","tagline":"A visual builder inside your code editor for creating, testing and running AI data pipelines.","whatItDoes":["RocketRide lets developers build AI workflows, called pipelines, by connecting building blocks on a visual canvas inside VS Code and similar editors. For example, a pipeline might take a PDF, pull out the text, find personal details like names and addresses, and return a cleaned copy.","It has a large set of ready-made blocks, including links to many AI model providers and vector databases, text recognition from images (OCR) and tools for removing personal information. While pipelines run, it shows token use, AI calls and timing. Pipelines are saved as plain files that Python or TypeScript apps can call, or that AI assistants can use as tools.","It can run on your own computer, your own servers or the paid RocketRide Cloud. Its makers say the whole engine is open source, with nothing behind a paywall."],"whoFor":"Developers building AI features that process documents and data.","useWithoutCoding":"Developers only","keywords":["ai pipeline","workflow builder","vs code","document processing","rag"],"rating":2.5,"tags":[],"owner":{"name":"rocketride.org","githubUrl":"https://github.com/rocketride-org"},"license":"MIT","stars":17745,"contributors":77,"monthlyDownloads":837,"lastPushedAt":"2026-10-19T01:22:56Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Server","Cloud"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install the RocketRide extension in your code editor, such as VS Code.","Click the extension and choose Local to run the server on your computer.","Open the example document-processing pipeline and try it with a PDF or image."],"officialDownload":null},{"slug":"bitsandbytes","name":"bitsandbytes","repo":"bitsandbytes-foundation/bitsandbytes","githubUrl":"https://github.com/bitsandbytes-foundation/bitsandbytes","homepage":"https://huggingface.co/docs/bitsandbytes/main/en/index","pageUrl":"/repo/bitsandbytes","category":"Training & fine-tuning","tagline":"A Python library that shrinks AI models' memory needs so they can run and be trained on smaller hardware.","whatItDoes":["Large AI models need a lot of memory. bitsandbytes uses quantization, storing the model's numbers with fewer bits, to cut how much memory they take.","It provides 8-bit and 4-bit versions of model parts and 8-bit training helpers. Its makers say this halves memory for running models without losing quality, and it powers QLoRA, a popular low-memory way to fine-tune models.","It works with PyTorch and supports regular processors and several kinds of graphics cards."],"whoFor":"Developers and researchers running or fine-tuning large models on limited hardware.","useWithoutCoding":"Developers only","keywords":["quantization","4-bit","qlora","save memory","fine-tuning"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"bitsandbytes collective","githubUrl":"https://github.com/bitsandbytes-foundation"},"license":"MIT","stars":8527,"contributors":140,"monthlyDownloads":null,"lastPushedAt":"2026-09-07T14:36:23Z","sources":[{"site":"Research paper","title":"QLoRA","url":"https://arxiv.org/abs/2305.14314","date":"2023-05-01"},{"site":"Research paper","title":"LLM.int8()","url":"https://arxiv.org/abs/2208.07339","date":"2022-08-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Windows","Mac"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"manifest-llm-gateway","name":"Manifest LLM Gateway","repo":"mnfst/llm-gateway","githubUrl":"https://github.com/mnfst/llm-gateway","homepage":"https://manifest.build/","pageUrl":"/repo/manifest-llm-gateway","category":"Running AI at scale","tagline":"Routes your apps' AI requests through one doorway that picks a model, tracks cost and handles failures.","whatItDoes":["Manifest is an LLM gateway: a middle layer between your apps and AI models. You connect your API keys, subscriptions and local models, and apps talk to one OpenAI-style address.","It can choose a model for each request, switch to another model if one fails, and log every request. It tracks spending and can send alerts and set limits.","You can use the makers' cloud version or run it yourself with Docker."],"whoFor":"Developers and teams running AI agents or apps across several AI providers.","useWithoutCoding":"With some setup","keywords":["llm gateway","ai cost tracking","model routing","openai compatible","api keys"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Manifest","githubUrl":"https://github.com/mnfst"},"license":"MIT","stars":7589,"contributors":60,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T19:40:19Z","sources":[{"site":"Hacker News","title":"Everyone is building LLM routers, we deprecated ours","url":"https://news.ycombinator.com/item?id=49126630","date":"2026-07-31"},{"site":"Hacker News","title":"Show HN: I built a backend so simple that it fits in a YAML file","url":"https://news.ycombinator.com/item?id=40544770","date":"2024-06-01"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud"],"hardware":"Made for servers or data centres","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Choose the hosted version, or deploy the Docker image on your own server.","Connect your AI provider keys, subscriptions or local models.","Point your apps at the gateway's address."],"officialDownload":null},{"slug":"ai-collection","name":"AI Collection","repo":"ai-collection/ai-collection","githubUrl":"https://github.com/ai-collection/ai-collection","homepage":"https://www.thataicollection.com/","pageUrl":"/repo/ai-collection","category":"Learning resources","tagline":"A large, categorized directory of generative AI apps and tools.","whatItDoes":["AI Collection is a curated list of generative AI applications, the kind that create text, images, music, code and more. Tools are grouped by category so you can browse what exists for a given task.","The list is also available as a website and has translations into several languages."],"whoFor":"Anyone exploring which AI tools are out there for a particular job.","useWithoutCoding":"Yes","keywords":["ai tools list","directory","generative ai","ai apps","awesome list"],"rating":2.5,"tags":["New this week"],"owner":{"name":"AI Collection","githubUrl":"https://github.com/ai-collection"},"license":"MIT","stars":9214,"contributors":46,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T14:10:45Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the list on the project page or its website and browse the category you're interested in."],"officialDownload":null},{"slug":"edict","name":"Edict (Three Departments and Six Ministries)","repo":"cft0808/edict","githubUrl":"https://github.com/cft0808/edict","homepage":"https://openclaw.ai/","pageUrl":"/repo/edict","category":"AI agents","tagline":"Organises a team of AI agents like an ancient Chinese government, with planning, review and execution roles.","whatItDoes":["Edict is a system for coordinating several AI agents, built on the OpenClaw agent platform. It copies a structure from imperial China, where one office plans a task, another reviews and can reject the plan, and a third hands the work to specialist departments.","Its makers say this built-in review step leads to more reliable results. A live dashboard shows every task's progress and history, and lets you pause, cancel or resume work, check agent health and switch AI models.","The README is in Chinese, with English and Japanese versions available."],"whoFor":"OpenClaw users and developers interested in multi-agent setups with checks and full records.","useWithoutCoding":"With some setup","keywords":["multi-agent","openclaw","dashboard","task review","orchestration"],"rating":2.5,"tags":[],"owner":{"name":"cft0808","githubUrl":"https://github.com/cft0808"},"license":"MIT","stars":17003,"contributors":17,"monthlyDownloads":null,"lastPushedAt":"2026-09-28T02:33:22Z","sources":[{"site":"Hacker News","title":"OpenClaw – Moltbot Renamed Again","url":"https://news.ycombinator.com/item?id=46820783","date":"2026-01-30"},{"site":"Hacker News","title":"Anthropic says OpenClaw-style Claude CLI usage is allowed again","url":"https://news.ycombinator.com/item?id=47844269","date":"2026-04-21"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Linux"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Try the ready-made demo dashboard with Docker, then open it in your web browser.","For the full version, install OpenClaw first on a Mac or Linux computer.","Run the project's install script and add your AI API key when asked."],"officialDownload":null},{"slug":"awesome-chatgpt-zh","name":"ChatGPT 中文指南","repo":"EmbraceAGI/awesome-chatgpt-zh","githubUrl":"https://github.com/EmbraceAGI/awesome-chatgpt-zh","homepage":null,"pageUrl":"/repo/awesome-chatgpt-zh","category":"Learning resources","tagline":"A Chinese-language guide and link collection for using ChatGPT and other AI tools.","whatItDoes":["This is a large guide written in Chinese for people who want to learn about ChatGPT and other AI models. It collects links and short explanations on how to use ChatGPT, how to write good prompts and how to build apps with AI.","It also has sections on DeepSeek, Claude Skills, MCP (a standard way to connect AI to other tools), coding agents, AI productivity tools and more. Most sections link to longer pages inside the project."],"whoFor":"Chinese-speaking readers who want a starting point for learning about AI chatbots and tools.","useWithoutCoding":"Yes","keywords":["chatgpt guide","chinese","prompts","ai tools list","learn ai"],"rating":2.5,"tags":["New this week"],"owner":{"name":"EmbraceAGI","githubUrl":"https://github.com/EmbraceAGI"},"license":"MIT","stars":11759,"contributors":33,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T23:15:39Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the project page and use the table of contents to pick a topic.","Follow the links to the sections or tools you want to explore."],"officialDownload":null},{"slug":"morphic","name":"Morphic","repo":"miurla/morphic","githubUrl":"https://github.com/miurla/morphic","homepage":"https://chat.morphic.sh/","pageUrl":"/repo/morphic","category":"Chat assistants","tagline":"An AI search engine you can host yourself, giving cited answers with images and rich layouts.","whatItDoes":["Morphic is an AI-powered search engine. You ask a question, it searches the web, and it writes an answer with links to its sources, shown with images, grids and headings rather than just plain text.","You can choose the AI model, including OpenAI, Anthropic, Google, or local models through Ollama, and choose the search service. It can save chat history, share results by link and accept file uploads.","It is meant to be run on your own computer or server. The Docker setup includes a free search engine, so only an AI provider key is needed."],"whoFor":"Tech-comfortable people and developers who want their own Perplexity-style AI search.","useWithoutCoding":"With some setup","keywords":["ai search","perplexity alternative","cited answers","self-hosted","search engine"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Yoshiki Miura","githubUrl":"https://github.com/miurla"},"license":"Apache-2.0","stars":9176,"contributors":46,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T00:10:39Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Server","Cloud"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Install Docker, download the project and copy its example settings file.","Add a key from an AI provider such as OpenAI to the settings, start it with Docker, then open it in your browser."],"officialDownload":null},{"slug":"ai-berkshire","name":"AI Berkshire","repo":"xbtlin/ai-berkshire","githubUrl":"https://github.com/xbtlin/ai-berkshire","homepage":"https://github.com/xbtlin/ai-berkshire#readme","pageUrl":"/repo/ai-berkshire","category":"Add-ons for AI coding tools","tagline":"A set of AI assistant skills for researching companies using the methods of well-known value investors.","whatItDoes":["AI Berkshire is a collection of skills for Claude Code and Codex that guide the AI through investment research on companies. It is based on the approaches of four value investors: Warren Buffett, Charlie Munger, Duan Yongping and Li Lu. The README is mainly in Chinese.","Instead of a balanced \"on the one hand, on the other\" answer, it pushes the AI to reach a clear conclusion, with several AI agents researching in parallel and arguing against each other. The repository also contains a large archive of research reports made with it.","The author shares their own investment results in the README, with a note that past returns don't predict future performance. Its output is AI-generated research, not professional financial advice."],"whoFor":"Individual investors and finance enthusiasts who use AI coding assistants for company research.","useWithoutCoding":"With some setup","keywords":["investing","stock research","value investing","company analysis","finance"],"rating":2.5,"tags":[],"owner":{"name":"Xbt Lin","githubUrl":"https://github.com/xbtlin"},"license":"MIT","stars":16782,"contributors":18,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T18:06:17Z","sources":[],"checkedByPerson":true,"cost":"Free, but needs an AI account","runsOn":["Mac","Linux"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install an AI coding assistant such as Claude Code or Codex.","Add the AI Berkshire skills to it by following the project's install steps.","Ask it to research a company, starting with a quick quality screen to keep costs down."],"officialDownload":null},{"slug":"brag","name":"/brag","repo":"latent-spaces/brag","githubUrl":"https://github.com/latent-spaces/brag","homepage":"https://latent-spaces.github.io/brag/","pageUrl":"/repo/brag","category":"Add-ons for AI coding tools","tagline":"Turns a project you've built into a short launch video with music and share text, in one command.","whatItDoes":["/brag is a skill for AI coding assistants such as Claude Code and Codex. When you run it in a project, the assistant makes a short promotional video about that project, with music, motion graphics and text you can post alongside it.","There's a lighter version called /brag-slim. The makers also run a website, letsbrag.app, where you can paste a site's link and get a video without installing anything."],"whoFor":"Developers and makers who want a quick video to share a new project.","useWithoutCoding":"With some setup","keywords":["launch video","promo video","share project","claude code","video"],"rating":2.5,"tags":[],"owner":{"name":"Latent Spaces","githubUrl":"https://github.com/latent-spaces"},"license":"MIT","stars":16736,"contributors":11,"monthlyDownloads":null,"lastPushedAt":"2026-10-13T11:08:09Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Or install the skill in an AI coding assistant such as Claude Code or Codex.","Then ask your assistant to brag from inside your project's folder."],"officialDownload":null},{"slug":"page-assist","name":"Page Assist","repo":"n4ze3m/page-assist","githubUrl":"https://github.com/n4ze3m/page-assist","homepage":"https://chromewebstore.google.com/detail/page-assist-a-web-ui-for/jfgfiigpkhlkbnfnbobbkinehhfdhndo","pageUrl":"/repo/page-assist","category":"Chat assistants","tagline":"A browser add-on that lets you chat with AI running on your own computer, including about the page you're reading.","whatItDoes":["Page Assist is a browser extension that adds a sidebar and a chat page for AI models running on your own computer, for example through Ollama.","You can open the sidebar on any website and ask questions about that page. There is also a full chat page that works like the ChatGPT website.","It works with Chrome, Brave, Edge and Firefox, and with other local AI apps that copy OpenAI's interface, such as LM Studio."],"whoFor":"Anyone who runs AI models locally and wants a convenient way to use them while browsing.","useWithoutCoding":"Yes","keywords":["browser extension","chrome","firefox","local ai","ollama","chat with webpage"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Muhammed Nazeem","githubUrl":"https://github.com/n4ze3m"},"license":"MIT","stars":8265,"contributors":52,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T15:51:39Z","sources":[{"site":"Hacker News","title":"uBlock Origin is no longer available on the Chrome Store","url":"https://news.ycombinator.com/item?id=43322922","date":"2025-03-10"},{"site":"Hacker News","title":"Show HN: Convert any website into a React component","url":"https://news.ycombinator.com/item?id=42043552","date":"2024-11-04"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install a local AI app such as Ollama and download a model.","Add Page Assist from the Chrome, Firefox or Edge extension store.","Open the sidebar on any webpage, or click the extension icon for the full chat page."],"officialDownload":null},{"slug":"awesome-artificial-intelligence","name":"Awesome Artificial Intelligence","repo":"owainlewis/awesome-artificial-intelligence","githubUrl":"https://github.com/owainlewis/awesome-artificial-intelligence","homepage":"https://aiengineer.co/","pageUrl":"/repo/awesome-artificial-intelligence","category":"Learning resources","tagline":"A hand-picked list of books, courses, papers and guides for developers learning to build AI systems.","whatItDoes":["This is a curated list of learning resources for software developers who want to build with modern AI, including language models, AI that looks up information, and agents.","It includes classic textbooks, well-known courses, foundational research papers, and practical guides from AI companies on topics such as building agents, writing prompts and AI security.","Its makers say it is selective rather than complete, and that each entry has to meet a quality bar. One course on the list is a paid program."],"whoFor":"Developers looking for a short, trusted reading list on AI engineering.","useWithoutCoding":"Yes","keywords":["ai books","ai courses","reading list","learn ai","resources"],"rating":2.5,"tags":[],"owner":{"name":"Owain Lewis","githubUrl":"https://github.com/owainlewis"},"license":"MIT","stars":16692,"contributors":54,"monthlyDownloads":null,"lastPushedAt":"2026-08-15T08:12:01Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Browse the sections, such as books, courses and guides.","Pick a resource that matches what you want to learn and follow its link."],"officialDownload":null},{"slug":"horizon","name":"Horizon","repo":"Thysrael/Horizon","githubUrl":"https://github.com/Thysrael/Horizon","homepage":"https://www.horizon1123.top/","pageUrl":"/repo/horizon","category":"Everyday tools","tagline":"An AI news radar that gathers stories from many sources and writes you a daily briefing.","whatItDoes":["Horizon collects posts from places like RSS feeds, Hacker News, Reddit and GitHub. AI scores them, removes duplicates and keeps the ones worth reading, using \"profiles\" you can adjust.","Briefings come out in English and Chinese and can be published as a web page or sent by email. It works with several AI providers, including local models through Ollama."],"whoFor":"People who want a short, personalised daily digest of fast-moving topics.","useWithoutCoding":"With some setup","keywords":["news digest","daily briefing","rss","news summary"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Sheng Qiang","githubUrl":"https://github.com/Thysrael"},"license":"MIT","stars":10734,"contributors":36,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:02:02Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":[],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Read the project's configuration guide and choose your sources and AI model.","Run Horizon to make your first briefing."],"officialDownload":null},{"slug":"desktop-commander-mcp","name":"Desktop Commander MCP","repo":"wonderwhy-er/DesktopCommanderMCP","githubUrl":"https://github.com/wonderwhy-er/DesktopCommanderMCP","homepage":"https://desktopcommander.app/","pageUrl":"/repo/desktop-commander-mcp","category":"Add-ons for AI coding tools","tagline":"Lets Claude and other AI chat apps search, edit and manage files and run programs on your computer.","whatItDoes":["Desktop Commander is an MCP server, a plug-in that gives an AI assistant new abilities. It lets apps like Claude Desktop run terminal commands, manage running programs, and search and edit files on your computer.","It can read and write Excel, Word and PDF files, analyse CSV or spreadsheet data on request, and make small, precise edits to code. Its makers say this uses your existing chat subscription instead of paying per use of an API.","Because it gives the AI real control over your files and programs, it's worth being careful about what you ask it to do."],"whoFor":"People who use Claude Desktop or similar AI apps and want them to work directly with files and tools on their computer.","useWithoutCoding":"With some setup","keywords":["claude desktop","file management","terminal","mcp","automation"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Eduard Ruzga","githubUrl":"https://github.com/wonderwhy-er"},"license":"MIT","stars":10096,"contributors":39,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T23:59:35Z","sources":[{"site":"Hacker News","title":"The Zettelkasten method in Obsidian","url":"https://news.ycombinator.com/item?id=47700556","date":"2026-04-09"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install Node.js, then run the project's setup command, which adds it to Claude Desktop.","Restart Claude Desktop and ask Claude to search, edit or organise files on your computer."],"officialDownload":null},{"slug":"opensquilla","name":"OpenSquilla","repo":"TokenRhythm/opensquilla","githubUrl":"https://github.com/TokenRhythm/opensquilla","homepage":"https://opensquilla.ai/","pageUrl":"/repo/opensquilla","category":"AI agents","tagline":"An AI agent that saves money by sending each request to the cheapest model able to handle it.","whatItDoes":["OpenSquilla is an AI agent you can use from a web page, a command line or chat apps. A built-in router on your own computer picks the cheapest model that can handle each step, which its makers say gives more capability for the same budget.","It also has memory that lasts between sessions, a sandbox for running tools safely, web search and on-device text search. It can talk to more than 20 AI providers, including OpenAI, Anthropic, DeepSeek, OpenRouter and local models through Ollama."],"whoFor":"People who use AI agents heavily and want to keep token costs down.","useWithoutCoding":"With some setup","keywords":["ai agent","save tokens","model router","cheaper ai"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"TokenRhythm","githubUrl":"https://github.com/TokenRhythm"},"license":"Apache-2.0","stars":7106,"contributors":62,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T19:24:50Z","sources":[{"site":"Research paper","title":"Agentic Routing: The Harness-Native Data Flywheel","url":"https://arxiv.org/abs/2607.11399","date":"2026-07-01"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the desktop installer for Mac or Windows from the project's GitHub releases page.","Open the app and connect an AI provider or a local model."],"officialDownload":"https://github.com/TokenRhythm/opensquilla/releases"},{"slug":"openpencil","name":"OpenPencil","repo":"open-pencil/open-pencil","githubUrl":"https://github.com/open-pencil/open-pencil","homepage":"https://openpencil.dev/","pageUrl":"/repo/openpencil","category":"3D & design","tagline":"An open-source design app, like Figma, where you can describe a design in chat and AI builds it.","whatItDoes":["OpenPencil is a design editor for creating app and website layouts. It can open and save Figma design files, and runs as a small desktop app or in a web browser.","It has built-in AI: you describe what you want in a chat, and the AI creates and edits the design for you. You connect your own AI provider, such as OpenAI, Anthropic, Google or OpenRouter.","It also supports reusable components, real-time collaboration without a server or account, and exporting designs as code. The README says it is in active development and still has some rough edges."],"whoFor":"Designers and developers who want a free Figma-style editor with AI help.","useWithoutCoding":"Yes","keywords":["figma alternative","design tool","ui design","ai design","free design app"],"rating":2.5,"tags":["New this week"],"owner":{"name":"OpenPencil","githubUrl":"https://github.com/open-pencil"},"license":"MIT","stars":9107,"contributors":43,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:06:28Z","sources":[{"site":"Hacker News","title":"OpenPencil – AI-native design editor. Open-source Figma alternative","url":"https://news.ycombinator.com/item?id=47215736","date":"2026-03-02"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Download the app for your computer from the project's releases page, or open the web version.","Open a design file or start a new one.","To use the AI chat, connect an AI provider with your own key in the settings."],"officialDownload":"https://github.com/open-pencil/open-pencil/releases/latest"},{"slug":"page-agent","name":"Page Agent","repo":"alibaba/page-agent","githubUrl":"https://github.com/alibaba/page-agent","homepage":"https://alibaba.github.io/page-agent/","pageUrl":"/repo/page-agent","category":"AI agents","tagline":"Adds an AI helper to a website that clicks, fills in forms and navigates when asked in plain words.","whatItDoes":["Page Agent lets a website owner add an AI agent to their own web page with a single script. Visitors or staff can then type an instruction like \"click the login button\" or describe a long form-filling task, and the agent carries it out on the page.","It reads the page's text structure rather than taking screenshots, so it doesn't need special image-reading AI or browser permissions. It works with most mainstream AI models, including ones you run yourself.","Suggested uses include adding an AI copilot to business software, speeding up repetitive form filling and making web apps usable by voice. An optional Chrome extension handles tasks across several tabs, and a test MCP server lets other AI tools control the browser."],"whoFor":"Web developers who want to add an AI assistant to their own site or app.","useWithoutCoding":"Developers only","keywords":["web agent","browser automation","form filling","copilot","website"],"rating":2.5,"tags":[],"owner":{"name":"Alibaba","githubUrl":"https://github.com/alibaba"},"license":"MIT","stars":29491,"contributors":34,"monthlyDownloads":94442,"lastPushedAt":"2026-10-17T20:22:22Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"langchain-chatchat","name":"Langchain-Chatchat","repo":"chatchat-space/Langchain-Chatchat","githubUrl":"https://github.com/chatchat-space/Langchain-Chatchat","homepage":null,"pageUrl":"/repo/langchain-chatchat","category":"Documents & knowledge","tagline":"Ask questions about your own documents using open-source AI models that can run fully offline.","whatItDoes":["Langchain-Chatchat builds a question-and-answer system over your own files, a \"knowledge base\". It splits your documents into pieces, finds the pieces most related to your question, and passes them to an AI model to write the answer.","It is designed to work well with Chinese and with open-source models such as GLM, Qwen and Llama, and can run entirely on your own machines without the internet. It can also connect to online services like OpenAI.","You use it through a simple web page or through an API, a doorway for other programs. Newer versions also include agent features that can call tools."],"whoFor":"Teams and developers, especially Chinese-speaking ones, who want a private document Q&A system.","useWithoutCoding":"With some setup","keywords":["chat with documents","knowledge base","offline ai","chinese","rag"],"rating":2.5,"tags":[],"owner":{"name":"Chatchat-Space","githubUrl":"https://github.com/chatchat-space"},"license":"Apache-2.0","stars":38693,"contributors":173,"monthlyDownloads":254,"lastPushedAt":"2025-11-10T09:27:42Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Mac","Linux"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Langchain-Chatchat with Python's package installer.","Start a model tool such as Xinference or Ollama and load a model.","Configure Chatchat to use that model, then open its web interface."],"officialDownload":null},{"slug":"mlx-vlm","name":"MLX-VLM","repo":"Blaizzy/mlx-vlm","githubUrl":"https://github.com/Blaizzy/mlx-vlm","homepage":null,"pageUrl":"/repo/mlx-vlm","category":"Run AI on your computer","tagline":"Run and fine-tune AI models that understand images, audio and video on your Mac.","whatItDoes":["Vision language models are AI models that can look at pictures and talk about them. MLX-VLM runs these on Apple Mac computers using MLX, Apple's toolkit for machine learning.","It supports many models, including ones for reading text in documents (OCR). You can use it from the command line, a simple chat window, Python code or a local server.","It can also fine-tune models, teaching them new skills with your own examples."],"whoFor":"Mac users and developers who want to run image-understanding AI privately on their own machine.","useWithoutCoding":"With some setup","keywords":["mac ai","image understanding","ocr","apple silicon","local ai"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Prince Canuma","githubUrl":"https://github.com/Blaizzy"},"license":"MIT","stars":5637,"contributors":185,"monthlyDownloads":246325,"lastPushedAt":"2026-10-18T08:41:19Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install Python on your Mac, then install MLX-VLM with Python's package installer, including the optional chat window extra.","Start the chat window and pick a model to try with your own images."],"officialDownload":null},{"slug":"flashlight","name":"Flashlight","repo":"flashlight/flashlight","githubUrl":"https://github.com/flashlight/flashlight","homepage":"https://fl.readthedocs.io/en/latest/","pageUrl":"/repo/flashlight","category":"Developer building blocks","tagline":"A fast, compact machine-learning library written in C++ for researchers who want full control.","whatItDoes":["Flashlight is a machine-learning library written entirely in the C++ programming language. Its makers say it came from Facebook AI Research and is small, fast and easy to change, down to its core maths.","It comes with ready-made applications for speech recognition (formerly the wav2letter project), image classification, object detection and language modelling."],"whoFor":"Machine learning researchers and engineers who work in C++.","useWithoutCoding":"Developers only","keywords":["machine learning library","c++","speech recognition","deep learning"],"rating":2.5,"tags":["New this week"],"owner":{"name":"flashlight","githubUrl":"https://github.com/flashlight"},"license":"MIT","stars":5478,"contributors":85,"monthlyDownloads":null,"lastPushedAt":"2026-10-07T20:02:10Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Linux"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"banana-slides","name":"Banana Slides","repo":"Anionex/banana-slides","githubUrl":"https://github.com/Anionex/banana-slides","homepage":"https://bananaslides.online/","pageUrl":"/repo/banana-slides","category":"Everyday tools","tagline":"Turns an idea, outline or document into a slide presentation in minutes, ready to edit and export to PowerPoint.","whatItDoes":["Banana Slides is an AI presentation maker. Give it a one-line idea, an outline, page descriptions or your own documents and images, and it creates a full slide deck. It uses AI image-generation models to design the slides.","You can upload any template image to control the look, ask in plain language for changes to specific parts of a slide, and export editable PowerPoint (PPTX) files or video. It keeps a history of your projects. The README is mainly in Chinese."],"whoFor":"Students, teachers and professionals who need to make presentations quickly.","useWithoutCoding":"With some setup","keywords":["slides","powerpoint","presentation maker","ppt","ai slides"],"rating":2.5,"tags":[],"owner":{"name":"anionex","githubUrl":"https://github.com/Anionex"},"license":"AGPL-3.0","stars":15777,"contributors":19,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T15:51:55Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Web browser"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Try the online demo in your web browser.","Or download the desktop version from the project's releases page.","Describe your idea or upload a document, then edit the slides and export them."],"officialDownload":"https://github.com/Anionex/banana-slides/releases"},{"slug":"palmier-pro","name":"Palmier Pro","repo":"palmier-io/palmier-pro","githubUrl":"https://github.com/palmier-io/palmier-pro","homepage":"https://palmier.io/","pageUrl":"/repo/palmier-pro","category":"Images & video","tagline":"A Mac video editor with built-in AI video and image generation that AI assistants can also control.","whatItDoes":["Palmier Pro is a video editor for macOS with AI built in. You can generate videos and images with AI models such as Seedance, Kling and Nano Banana Pro directly inside the timeline.","AI assistants like Claude, Codex or Cursor can connect to it through MCP, a standard way to plug tools into AI, and create and edit on the same timeline. There's also an in-app agent.","It requires macOS 26 (Tahoe) on an Apple Silicon Mac."],"whoFor":"Video creators on newer Macs who want AI generation and AI assistants inside their editing workflow.","useWithoutCoding":"Yes","keywords":["video editor","ai video","mac app","generate video","editing"],"rating":2.5,"tags":[],"owner":{"name":"Palmier","githubUrl":"https://github.com/palmier-io"},"license":"GPL-3.0","stars":14597,"contributors":22,"monthlyDownloads":null,"lastPushedAt":"2026-10-05T06:09:38Z","sources":[{"site":"Hacker News","title":"Show HN: Palmier Pro – Open-source macOS video editor built for AI","url":"https://news.ycombinator.com/item?id=49022911","date":"2026-07-23"}],"checkedByPerson":false,"cost":null,"runsOn":["Mac"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Check that you have an Apple Silicon Mac running macOS 26 (Tahoe) or later.","Download the app from the project's GitHub releases page.","Optionally connect your AI assistant using the MCP instructions in the app's Help menu."],"officialDownload":"https://github.com/palmier-io/palmier-pro/releases"},{"slug":"ha-mcp","name":"Home Assistant MCP Server","repo":"homeassistant-ai/ha-mcp","githubUrl":"https://github.com/homeassistant-ai/ha-mcp","homepage":"https://homeassistant-ai.github.io/ha-mcp/","pageUrl":"/repo/ha-mcp","category":"Smart home & gadgets","tagline":"Lets AI assistants control your Home Assistant smart home using plain language.","whatItDoes":["Home Assistant is a popular free system for running a smart home. This unofficial project connects it to AI assistants such as Claude or ChatGPT through MCP, a standard way to give AI new tools.","Once set up, you can ask the AI to turn devices on or off, check their status or create and change automations. It can be installed inside Home Assistant through HACS, the community add-on store, and you then paste a connection link into your AI app."],"whoFor":"Home Assistant users who want to manage their smart home by chatting with an AI assistant.","useWithoutCoding":"With some setup","keywords":["home assistant","smart home ai","mcp","home automation","voice control"],"rating":2.5,"tags":["New this week"],"owner":{"name":"The Unofficial Home Assistant AI Toolkit","githubUrl":"https://github.com/homeassistant-ai"},"license":"MIT","stars":5132,"contributors":91,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T22:07:12Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Server"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Add the HA-MCP custom component to Home Assistant through HACS and restart Home Assistant.","Add the HA-MCP integration in Home Assistant's settings and copy the connection link it gives you.","Paste that link into your AI assistant app."],"officialDownload":null},{"slug":"honcho","name":"Honcho","repo":"plastic-labs/honcho","githubUrl":"https://github.com/plastic-labs/honcho","homepage":"https://honcho.dev/docs","pageUrl":"/repo/honcho","category":"AI memory","tagline":"A memory service that helps AI agents remember and understand the people and things they deal with over time.","whatItDoes":["Honcho gives AI agents long-term memory. Developers send it conversations and events, and Honcho works in the background to draw conclusions about each person, agent or group involved.","The app can then ask Honcho for useful context, search past information, or ask questions in plain language, and pass the results to any AI model.","It can be used as a hosted service with an API key, or run yourself. It also connects to coding tools such as Claude Code so they can remember things between sessions."],"whoFor":"Developers building AI agents or chat products that should remember users over time.","useWithoutCoding":"Developers only","keywords":["ai memory","agent memory","personalization","remember users","chatbot memory"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Plastic Labs","githubUrl":"https://github.com/plastic-labs"},"license":"AGPL-3.0","stars":7681,"contributors":73,"monthlyDownloads":542206,"lastPushedAt":"2026-10-17T15:14:45Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Cloud","Server"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"claude-obsidian","name":"claude-obsidian","repo":"AgriciDaniel/claude-obsidian","githubUrl":"https://github.com/AgriciDaniel/claude-obsidian","homepage":null,"pageUrl":"/repo/claude-obsidian","category":"Documents & knowledge","tagline":"Uses Claude Code to turn your sources into a linked, cited knowledge base of notes in Obsidian.","whatItDoes":["claude-obsidian is a set of skills for Claude Code and similar AI assistants that builds a personal knowledge base in Obsidian, a popular note-taking app. You drop a source, such as an article or document, into an inbox folder, and the AI reads it, writes linked notes and records where each claim came from.","You can then ask questions that are answered from the evidence already in your notes, run research, check for broken links and gaps, and build visual maps. Everything stays as ordinary Markdown files on your own computer.","Its makers say it is not an automatic transcript recorder, a cloud sync service or a substitute for backups."],"whoFor":"Researchers, writers and note-takers who use Obsidian and Claude Code and want an AI-maintained \"second brain\".","useWithoutCoding":"With some setup","keywords":["obsidian","second brain","notes","knowledge base","claude code"],"rating":2.5,"tags":[],"owner":{"name":"Agrici Daniel","githubUrl":"https://github.com/AgriciDaniel"},"license":"MIT","stars":15626,"contributors":11,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T17:55:37Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Install Obsidian and Claude Code on your computer.","Download the project and use its setup script to create a separate vault for your notes.","Open the vault in Obsidian, then add sources to its inbox for Claude to turn into notes."],"officialDownload":null},{"slug":"claurst","name":"Claurst","repo":"Kuberwastaken/claurst","githubUrl":"https://github.com/Kuberwastaken/claurst","homepage":"https://claurst.kuber.studio/","pageUrl":"/repo/claurst","category":"Coding assistants","tagline":"An open-source AI coding assistant for the terminal, written in Rust, that works with many AI providers.","whatItDoes":["Claurst is an AI pair programmer that runs in your terminal (a text-based window for typing commands). It reads your project, writes and edits code, and runs commands with your approval.","It started as a 'clean-room' rebuild of how Claude Code behaves, written from a description rather than copied code, and has grown into its own tool. It works with several AI providers and adds plugins, memory, chat branching and a built-in companion.","Its makers say it is fast and has no tracking or telemetry. On macOS, the commands it runs are kept in a sandbox (a walled-off area). The README says it is in beta, and some features are marked experimental."],"whoFor":"Programmers who want a fast, open terminal coding agent that is not tied to one AI company.","useWithoutCoding":"With some setup","keywords":["ai coding agent","claude code alternative","terminal","rust","pair programmer"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Kuber Mehta","githubUrl":"https://github.com/Kuberwastaken"},"license":"GPL-3.0","stars":10323,"contributors":35,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T21:00:22Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Run the one-line installer for your system, or download the program from the project's releases page.","Add an API key for your AI provider, or sign in with a ChatGPT subscription.","Open a terminal in your project folder and start Claurst."],"officialDownload":"https://github.com/kuberwastaken/claurst/releases"},{"slug":"bertopic","name":"BERTopic","repo":"MaartenGr/BERTopic","githubUrl":"https://github.com/MaartenGr/BERTopic","homepage":"https://maartengr.github.io/BERTopic/","pageUrl":"/repo/bertopic","category":"Developer building blocks","tagline":"Finds the main topics in a large pile of text, such as reviews, articles or social posts.","whatItDoes":["BERTopic is a Python library for topic modelling: it reads a large set of documents and groups them by what they are about, then labels each group with its most telling words.","It uses AI language models to understand meaning, so it can group texts that use different words for the same idea. It supports many variations, including topics that change over time, guided topics and topics in images, and it can use large language models to write topic labels."],"whoFor":"Researchers, data analysts and developers who need to make sense of large amounts of text.","useWithoutCoding":"Developers only","keywords":["topic modeling","text analysis","group documents","nlp"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"Maarten Grootendorst","githubUrl":"https://github.com/MaartenGr"},"license":"MIT","stars":7898,"contributors":97,"monthlyDownloads":315257,"lastPushedAt":"2026-10-18T06:36:45Z","sources":[{"site":"Research paper","title":"BERTopic paper","url":"https://arxiv.org/abs/2203.05794","date":"2022-03-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"garak","name":"garak","repo":"NVIDIA/garak","githubUrl":"https://github.com/NVIDIA/garak","homepage":"https://discord.gg/uVch4puUCs","pageUrl":"/repo/garak","category":"AI testing & safety","tagline":"A scanner from NVIDIA that tests AI chatbots for weaknesses like jailbreaks, data leaks and harmful output.","whatItDoes":["garak checks whether an AI language model can be pushed into behaving badly. It sends many test prompts, called probes, and then checks the answers for problems.","It looks for issues such as making things up, leaking data, prompt injection (hidden instructions that hijack the AI), misinformation, toxic language and jailbreaks (tricks that get around safety rules). Its makers compare it to security scanners for computer networks, but for AI models.","It works with models from Hugging Face, OpenAI, AWS Bedrock, Replicate and local models, as well as most AI services reachable over the web. It is a free command-line tool."],"whoFor":"AI safety teams, security testers and developers who need to check an AI system before releasing it.","useWithoutCoding":"Developers only","keywords":["ai safety","red teaming","jailbreak test","llm security","prompt injection"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"NVIDIA Corporation","githubUrl":"https://github.com/NVIDIA"},"license":"Apache-2.0","stars":9610,"contributors":148,"monthlyDownloads":39200,"lastPushedAt":"2026-10-16T20:15:19Z","sources":[{"site":"Research paper","title":"garak research paper","url":"https://arxiv.org/abs/2406.11036","date":"2024-06-01"}],"checkedByPerson":true,"cost":"Free","runsOn":["Mac","Linux"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Python, then install garak with Python's package installer.","Run garak against that model and read the report of weaknesses it found."],"officialDownload":null},{"slug":"gitingest","name":"Gitingest","repo":"coderamp-labs/gitingest","githubUrl":"https://github.com/coderamp-labs/gitingest","homepage":"https://gitingest.com/","pageUrl":"/repo/gitingest","category":"Everyday tools","tagline":"Turns any code repository into one text file you can paste into an AI chat.","whatItDoes":["When you want an AI chatbot to explain or review a software project, you need to give it the code. Gitingest packs a whole Git repository into a single, neatly formatted text digest.","The easy trick: on any GitHub web address, change \"hub\" to \"ingest\" and you get that project's digest. It also shows the folder structure, the size and a token count (tokens are the units AI models measure text in).","It is available as a website, browser extensions for Chrome and Firefox, a command-line tool and a Python package."],"whoFor":"Anyone who wants to ask an AI about a code project, from students to developers.","useWithoutCoding":"Yes","keywords":["code to text","github","paste into chatgpt","repository summary"],"rating":2.5,"tags":[],"owner":{"name":"coderamp","githubUrl":"https://github.com/coderamp-labs"},"license":"MIT","stars":15949,"contributors":55,"monthlyDownloads":163295,"lastPushedAt":"2026-10-17T22:25:39Z","sources":[{"site":"Hacker News","title":"Show HN: Replace \"hub\" by \"ingest\" in GitHub URLs for a prompt-friendly extract","url":"https://news.ycombinator.com/item?id=42329071","date":"2024-12-05"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Go to the Gitingest website and paste a GitHub repository address.","Or replace hub with ingest in any GitHub web address.","Copy the text digest into your AI chat."],"officialDownload":"https://gitingest.com/"},{"slug":"mcporter","name":"MCPorter","repo":"openclaw/mcporter","githubUrl":"https://github.com/openclaw/mcporter","homepage":"https://mcporter.sh/","pageUrl":"/repo/mcporter","category":"Developer building blocks","tagline":"A tool for finding and calling MCP servers from scripts, the command line or TypeScript code.","whatItDoes":["MCP (Model Context Protocol) servers give AI assistants new tools. MCPorter lets developers and coding agents use those same tools from a terminal, a script or a program.","It can list a server's tools, call them, handle sign-in, and turn a server into its own small command-line tool. It reads MCP settings you already have in apps like Cursor, Claude Code and VS Code.","It also works as a TypeScript library, so programs can call MCP tools like ordinary functions."],"whoFor":"Developers and AI agent builders who work with MCP tools.","useWithoutCoding":"Developers only","keywords":["mcp","command line","typescript","ai tools"],"rating":2.5,"tags":["New this week"],"owner":{"name":"openclaw","githubUrl":"https://github.com/openclaw"},"license":"MIT","stars":5070,"contributors":57,"monthlyDownloads":1990537,"lastPushedAt":"2026-10-19T01:36:35Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"chuanhuchatgpt","name":"Chuanhu Chat","repo":"GaiZhenbiao/ChuanhuChatGPT","githubUrl":"https://github.com/GaiZhenbiao/ChuanhuChatGPT","homepage":"https://huggingface.co/spaces/JohnSmith9982/ChuanhuChatGPT","pageUrl":"/repo/chuanhuchatgpt","category":"Chat assistants","tagline":"A clean, self-hosted chat app for ChatGPT and many other AI models, with file Q&A and web search.","whatItDoes":["Chuanhu Chat is a web interface for chatting with AI models. It supports online models such as ChatGPT, Claude, Gemini and DeepSeek, as well as models you run yourself, such as ChatGLM, LLaMA and Qwen.","Extra features include answering questions from your own files, web search, an automatic assistant mode for multi-step problems, and fine-tuning some GPT models. Chat history can be searched and renamed, and it works on phones and can be installed as a web app.","The main README is in Chinese, with other languages available."],"whoFor":"People who want their own ChatGPT-style chat page that works with many AI models.","useWithoutCoding":"With some setup","keywords":["chatgpt interface","chat app","self-hosted","file q&a","multiple models"],"rating":2.5,"tags":[],"owner":{"name":"Chuan Hu","githubUrl":"https://github.com/GaiZhenbiao"},"license":"GPL-3.0","stars":15264,"contributors":55,"monthlyDownloads":null,"lastPushedAt":"2026-09-16T11:44:01Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Windows","Mac","Linux","Web browser","Server"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Copy the example settings file, rename it, and add your API key.","Start the app and a browser window opens where you can chat."],"officialDownload":null},{"slug":"botpress","name":"Botpress","repo":"botpress/botpress","githubUrl":"https://github.com/botpress/botpress","homepage":"https://botpress.com/","pageUrl":"/repo/botpress","category":"App builders & workflows","tagline":"Tools for building and launching AI chatbots and assistants on the Botpress platform.","whatItDoes":["Botpress is a platform for building chatbots and AI assistants. This repository holds the open-source parts of Botpress Cloud: the integrations that connect bots to other services, developer tools such as a command-line tool and code kit, and example bots.","Integrations are published on the Botpress Hub, and developers can build and share their own. The main bot builder, Botpress Studio, is part of the hosted Botpress Cloud service."],"whoFor":"Developers building chatbots on Botpress, or making integrations for it.","useWithoutCoding":"Developers only","keywords":["chatbot builder","ai assistant","customer service bot","integrations"],"rating":2.5,"tags":[],"owner":{"name":"Botpress","githubUrl":"https://github.com/botpress"},"license":"MIT","stars":14956,"contributors":79,"monthlyDownloads":40712,"lastPushedAt":"2026-10-13T20:08:14Z","sources":[{"site":"Hacker News","title":"Botpress: an open-source bot creation tool written in JavaScript","url":"https://news.ycombinator.com/item?id=13672343","date":"2017-02-17"},{"site":"Hacker News","title":"Show HN: Botpress – Open-Source Bots Platform Written in JavaScript","url":"https://news.ycombinator.com/item?id=13383238","date":"2017-01-12"}],"checkedByPerson":false,"cost":null,"runsOn":["Cloud"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"self-hosted-ai-starter-kit","name":"Self-hosted AI Starter Kit","repo":"n8n-io/self-hosted-ai-starter-kit","githubUrl":"https://github.com/n8n-io/self-hosted-ai-starter-kit","homepage":"https://n8n.io/","pageUrl":"/repo/self-hosted-ai-starter-kit","category":"App builders & workflows","tagline":"One setup that runs n8n automations with local AI models on your own computer, for private AI workflows.","whatItDoes":["This starter kit from n8n bundles several tools so you can build AI automations that run entirely on your own machine. It combines n8n (a low-code automation builder), Ollama (for running AI models locally), Qdrant (a database for searching information by meaning) and PostgreSQL (a general database).","Once running, you open n8n in your browser and can build things like scheduling agents, private PDF summaries or Slack bots, keeping your data in-house. It includes a sample chat workflow to start with.","Its makers say it's meant for trying ideas and proofs of concept rather than production use."],"whoFor":"Tinkerers and small teams who want to build private AI automations without sending data to the cloud.","useWithoutCoding":"With some setup","keywords":["n8n","local ai","automation","private","ollama"],"rating":2.5,"tags":[],"owner":{"name":"n8n - Workflow Automation","githubUrl":"https://github.com/n8n-io"},"license":"Apache-2.0","stars":15294,"contributors":16,"monthlyDownloads":null,"lastPushedAt":"2026-10-12T08:50:13Z","sources":[{"site":"Hacker News","title":"Show HN: Self-Hosted AI Starter Kit","url":"https://news.ycombinator.com/item?id=41313223","date":"2024-08-21"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install Docker and download this starter kit.","Start it with Docker Compose, choosing the version for your graphics card or for a plain CPU.","Open n8n in your browser and run the included chat workflow."],"officialDownload":null},{"slug":"obsidian-copilot","name":"Copilot for Obsidian","repo":"logancyang/obsidian-copilot","githubUrl":"https://github.com/logancyang/obsidian-copilot","homepage":"https://www.obsidiancopilot.com/","pageUrl":"/repo/obsidian-copilot","category":"Documents & knowledge","tagline":"A plugin that brings AI chat and AI agents into your Obsidian notes for research and writing.","whatItDoes":["Copilot is a plugin for Obsidian, a popular note-taking app. It lets AI agents such as opencode, Claude Code and Codex read your notes, use tools, and create new Obsidian files across several steps, with permissions you control.","You can set up projects with their own instructions, save reusable prompts, ask quick questions about selected text, and share skills between agents.","You can use your own AI subscription or key, a local model, or the makers' paid hosted models. Where your notes are processed depends on which option you pick."],"whoFor":"Obsidian users who want AI help with research, writing and organising their notes.","useWithoutCoding":"Yes","keywords":["obsidian ai","notes assistant","chatgpt for notes","knowledge base"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Logan Yang","githubUrl":"https://github.com/logancyang"},"license":"AGPL-3.0","stars":7853,"contributors":49,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T03:01:15Z","sources":[{"site":"Hacker News","title":"Copilot for Obsidian - OpenAI API and LocalAI Interface Inside Obsidian","url":"https://news.ycombinator.com/item?id=38148024","date":"2023-11-05"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["In the Obsidian notes app, install Copilot from the Community Plugins list.","Open Copilot's settings and choose an agent: let it download opencode, or connect Claude Code or Codex.","Open the Agent chat window and ask it about your notes."],"officialDownload":null},{"slug":"opencompass","name":"OpenCompass","repo":"open-compass/opencompass","githubUrl":"https://github.com/open-compass/opencompass","homepage":"https://opencompass.org.cn/","pageUrl":"/repo/opencompass","category":"AI models & research","tagline":"A platform for testing and comparing AI language models across many skills and datasets.","whatItDoes":["OpenCompass checks how well large language models perform. It supports models from OpenAI, Anthropic, Gemini, Qwen, DeepSeek and others, plus open models you run yourself.","It includes more than a hundred test datasets covering knowledge, reasoning, coding, science, languages, long documents and safety. It handles the whole process, from running the model to scoring and summarising results.","The team also runs public leaderboards comparing models."],"whoFor":"Researchers and companies who need to measure and compare AI model quality.","useWithoutCoding":"Developers only","keywords":["ai benchmark","compare ai models","llm evaluation","leaderboard"],"rating":2.5,"tags":["New this week"],"owner":{"name":"OpenCompass","githubUrl":"https://github.com/open-compass"},"license":"Apache-2.0","stars":7527,"contributors":196,"monthlyDownloads":3033,"lastPushedAt":"2026-10-16T07:53:18Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"flagembedding","name":"FlagEmbedding (BGE)","repo":"FlagOpen/FlagEmbedding","githubUrl":"https://github.com/FlagOpen/FlagEmbedding","homepage":"http://www.bge-model.com/","pageUrl":"/repo/flagembedding","category":"Developer building blocks","tagline":"Free models and tools that help AI search text and find the most relevant passages.","whatItDoes":["FlagEmbedding is the home of the BGE models. They turn text into lists of numbers (embeddings) so a computer can tell which passages mean similar things, which powers smart search and document-answering chatbots.","It also offers rerankers that put the best matches first, and tools to adapt the models to your own data. Some models handle more than 100 languages."],"whoFor":"Developers building search features or chatbots that answer from documents.","useWithoutCoding":"Developers only","keywords":["semantic search","embeddings","rag","document search"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"FlagOpen","githubUrl":"https://github.com/FlagOpen"},"license":"MIT","stars":12259,"contributors":72,"monthlyDownloads":null,"lastPushedAt":"2026-08-24T02:57:42Z","sources":[{"site":"Research paper","title":"BGE technical report","url":"https://arxiv.org/pdf/2309.07597.pdf","date":"2023-09-01"},{"site":"Research paper","title":"BGE M3 technical report","url":"https://arxiv.org/pdf/2402.03216.pdf","date":"2024-02-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"react-doctor","name":"React Doctor","repo":"millionco/react-doctor","githubUrl":"https://github.com/millionco/react-doctor","homepage":"https://react.doctor/","pageUrl":"/repo/react-doctor","category":"Add-ons for AI coding tools","tagline":"Checks React code for common problems, and gives AI coding agents a skill to find and fix them.","whatItDoes":["React is a popular toolkit for building websites. React Doctor scans a React project and reports problems with how it handles data, speed, structure, security, accessibility and maintainability.","The checks follow fixed rules, so they give the same results each time. You can install it as a skill for coding agents such as Claude Code, Cursor and Codex, so they can find and fix these issues themselves.","It can also run on every proposed code change and record performance traces from a running app. It collects anonymous usage data unless you turn that off."],"whoFor":"Web developers who build React apps, especially with help from AI coding agents.","useWithoutCoding":"Developers only","keywords":["react","code review","bug finder","coding agent","website"],"rating":2.5,"tags":[],"owner":{"name":"Million Software, Inc.","githubUrl":"https://github.com/millionco"},"license":"NOASSERTION","stars":15014,"contributors":17,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T23:53:18Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Run the React Doctor scan from the main folder of your React project.","Optionally install its skill so your AI coding agent can fix the issues it finds."],"officialDownload":null},{"slug":"hunyuanvideo","name":"HunyuanVideo","repo":"Tencent-Hunyuan/HunyuanVideo","githubUrl":"https://github.com/Tencent-Hunyuan/HunyuanVideo","homepage":"https://aivideo.hunyuan.tencent.com/","pageUrl":"/repo/hunyuanvideo","category":"Images & video","tagline":"An openly released AI model from Tencent's Hunyuan team that makes videos from text descriptions.","whatItDoes":["HunyuanVideo is an AI model that turns a written description into a short video clip. This repository contains the model, its downloadable weights (the trained model files) and the code to run it.","Its makers say its video quality is comparable to, or better than, leading closed models. The team has since released related models, such as ones that animate a still image or create talking avatars.","It needs powerful graphics hardware. Community projects add it to ComfyUI, a popular visual tool for AI images, and offer lighter versions for computers with less graphics memory."],"whoFor":"Researchers, developers and video creators with strong hardware who want to run an open video-generation model themselves.","useWithoutCoding":"Developers only","keywords":["text to video","ai video","video generator","tencent","comfyui"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"Tencent-Hunyuan","githubUrl":"https://github.com/Tencent-Hunyuan"},"license":"NOASSERTION","stars":12634,"contributors":25,"monthlyDownloads":null,"lastPushedAt":"2026-10-08T08:57:37Z","sources":[{"site":"Research paper","title":"HunyuanVideo: A Systematic Framework For Large Video Generation Model","url":"https://arxiv.org/abs/2412.03603","date":"2024-12-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Set up a Linux computer with a powerful graphics card.","Install the project's Python software and download the model weights, following the README.","Create videos from the command line or the built-in web demo."],"officialDownload":null},{"slug":"awesome-aitools","name":"Awesome AI Tools","repo":"ikaijua/Awesome-AITools","githubUrl":"https://github.com/ikaijua/Awesome-AITools","homepage":"https://ikaijua.github.io/Awesome-AITools-Site/","pageUrl":"/repo/awesome-aitools","category":"Learning resources","tagline":"A large, categorized list of AI tools, from chat assistants to video, voice, writing and coding apps.","whatItDoes":["This is a community-maintained collection of AI tools, in English and Chinese. It sorts them into many categories, including assistants, open models, agents, coding, image and video creation, writing, translation, speech, music, research and robotics.","Each entry has a short description, links and whether it is free or paid. Sponsored listings appear at the top of the page."],"whoFor":"Anyone looking for AI tools for a particular job.","useWithoutCoding":"Yes","keywords":["ai tools list","ai apps","chatgpt alternatives","directory","free ai tools"],"rating":2.5,"tags":["New this week"],"owner":{"name":"ikaijua","githubUrl":"https://github.com/ikaijua"},"license":"CC-BY-4.0","stars":6224,"contributors":65,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T14:37:06Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Jump to a category that matches what you need and compare the listed tools."],"officialDownload":null},{"slug":"smolvm","name":"smolvm","repo":"smol-machines/smolvm","githubUrl":"https://github.com/smol-machines/smolvm","homepage":"https://smolmachines.com/","pageUrl":"/repo/smolvm","category":"Running AI at scale","tagline":"Lightweight virtual machines for running AI agents and their code safely, separate from your main system.","whatItDoes":["smolvm creates small virtual machines, which are sealed-off computers running inside your computer. They give AI agents a safe place to run code without touching the rest of your system.","Its makers say the machines start in under a second and use only the memory they need. You can save a running machine, rewind it, or split it into copies that continue from the same point.","Developers can control the machines from their own code, either on their own computers or on the makers' cloud service."],"whoFor":"Developers building AI agents that need a safe place to run code.","useWithoutCoding":"Developers only","keywords":["sandbox","virtual machine","safe ai agents","run code safely"],"rating":2.5,"tags":["New this week"],"owner":{"name":"smol machines","githubUrl":"https://github.com/smol-machines"},"license":"Apache-2.0","stars":6762,"contributors":58,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:34:45Z","sources":[{"site":"Hacker News","title":"Show HN: Smol machines – subsecond coldstart, portable virtual machines","url":"https://news.ycombinator.com/item?id=47808268","date":"2026-04-17"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Mac","Linux","Windows","Cloud"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":"https://github.com/smol-machines/smolvm/releases"},{"slug":"rwkv","name":"RWKV","repo":"BlinkDL/RWKV-LM","githubUrl":"https://github.com/BlinkDL/RWKV-LM","homepage":null,"pageUrl":"/repo/rwkv","category":"AI models & research","tagline":"An open AI language model design that aims to match transformer models while using less memory and computing power.","whatItDoes":["RWKV is a different way to build AI language models. Most chat AIs use \"transformers\", which slow down and need more memory as a conversation gets longer. RWKV works more like an older design called an RNN, and its makers say it keeps a constant speed and memory use however long the text gets.","Its makers say it still trains as efficiently as a transformer and performs well on language tasks. The latest version is called RWKV-7 \"Goose\".","Model weights, chat apps and tools for running it on phones and desktops are linked from the README. It's a Linux Foundation AI project."],"whoFor":"AI researchers and engineers interested in efficient model designs, and hobbyists who want to try a different kind of model.","useWithoutCoding":"Developers only","keywords":["language model","rnn","efficient ai","open model","research"],"rating":2.5,"tags":["Research-backed"],"owner":{"name":"PENG Bo","githubUrl":"https://github.com/BlinkDL"},"license":"Apache-2.0","stars":14749,"contributors":6,"monthlyDownloads":null,"lastPushedAt":"2026-09-28T18:01:27Z","sources":[{"site":"Research paper","title":"RWKV-5/6 Eagle/Finch paper","url":"https://arxiv.org/abs/2404.05892","date":"2024-04-01"},{"site":"Hacker News","title":"RWKV RNN: Better than ChatGPT?","url":"https://news.ycombinator.com/item?id=35281026","date":"2023-03-23"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"promptflow","name":"Prompt flow","repo":"microsoft/promptflow","githubUrl":"https://github.com/microsoft/promptflow","homepage":"https://microsoft.github.io/promptflow/","pageUrl":"/repo/promptflow","category":"App builders & workflows","tagline":"Microsoft tools for building, testing and launching apps powered by AI language models.","whatItDoes":["Prompt flow helps developers build apps that use AI language models. You create a \"flow\" that links prompts, AI models and bits of Python code together, then run and debug it step by step.","It includes tools to test a flow on larger sets of examples and measure its quality, and to deploy it when it's ready. There's also a Visual Studio Code extension with a visual flow designer.","It can connect to OpenAI or Azure OpenAI with your own key. The README notes the software can send usage data to Microsoft if telemetry is turned on."],"whoFor":"Developers and teams building and testing AI-powered applications.","useWithoutCoding":"Developers only","keywords":["llm app builder","prompt testing","ai workflow","chatbot builder","evaluation"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Microsoft","githubUrl":"https://github.com/microsoft"},"license":"MIT","stars":11253,"contributors":108,"monthlyDownloads":39439,"lastPushedAt":"2026-10-15T06:14:28Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"prompt-master","name":"Prompt Master","repo":"nidhinjs/prompt-master","githubUrl":"https://github.com/nidhinjs/prompt-master","homepage":null,"pageUrl":"/repo/prompt-master","category":"Everyday tools","tagline":"A Claude skill that writes clear, targeted prompts for other AI tools, from ChatGPT to Midjourney.","whatItDoes":["Prompt Master is a skill you add to Claude. You tell it what you want from another AI tool, and it writes a ready-to-copy prompt designed for that tool.","It works out which tool the prompt is for, asks up to three questions if key details are missing, and trims unnecessary words. Its makers say the goal is getting the right answer on the first try instead of re-prompting.","It covers chatbots, coding assistants, image and video generators, voice tools and automation apps."],"whoFor":"Anyone who uses several AI tools and wants better results without learning prompt-writing tricks.","useWithoutCoding":"Yes","keywords":["prompt","midjourney","chatgpt tips","claude skill"],"rating":2.5,"tags":[],"owner":{"name":"Nidhin Joseph Nelson","githubUrl":"https://github.com/nidhinjs"},"license":"MIT","stars":14604,"contributors":10,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T07:24:11Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Download this project as a ZIP file.","In Claude on the web, open Customize, then Skills, and upload the skill.","Ask Claude to write a prompt for the AI tool you want to use."],"officialDownload":null},{"slug":"waoowaoo","name":"waoowaoo","repo":"waooAI/waoowaoo","githubUrl":"https://github.com/waooAI/waoowaoo","homepage":null,"pageUrl":"/repo/waoowaoo","category":"Images & video","tagline":"A creative workspace where an AI assistant helps you plan, generate and refine images and videos on a canvas.","whatItDoes":["waoowaoo is a workspace for making images and videos with AI. An assistant on the right side of the screen helps you develop your idea, and you organise reference pictures, files and results on a canvas.","You can choose shape, length and resolution to suit each AI model, start a video from a first frame or reference image, and refine a result into a new version while keeping the original. It connects to image and video models through the OpenRouter service, which charges for use.","Its makers describe it as a preview release that still has bugs and rough edges. The app is available in English and Chinese."],"whoFor":"Video makers, storytellers and creators who want to produce AI images and video in an organised project.","useWithoutCoding":"With some setup","keywords":["ai video","storyboard","image generation","film","canvas"],"rating":2.5,"tags":[],"owner":{"name":"waooAI","githubUrl":"https://github.com/waooAI"},"license":"NOASSERTION","stars":14582,"contributors":2,"monthlyDownloads":null,"lastPushedAt":"2026-09-21T10:39:25Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Install Docker, then follow the installation guide or ask a coding assistant to set up the self-hosted preview.","Open the app in your browser and add your OpenRouter API key in your profile's API settings."],"officialDownload":"https://github.com/waooAI/waoowaoo/releases"},{"slug":"satellite-image-deep-learning-techniques","name":"Techniques for deep learning with satellite & aerial imagery","repo":"satellite-image-deep-learning/techniques","githubUrl":"https://github.com/satellite-image-deep-learning/techniques","homepage":null,"pageUrl":"/repo/satellite-image-deep-learning-techniques","category":"Learning resources","tagline":"A big, organised list of AI methods and projects for analysing satellite and aerial photos.","whatItDoes":["This is a reference list for people using AI on pictures taken from satellites, planes and drones. It gathers links to projects, papers and datasets, grouped by task.","Tasks include sorting land into types such as forest or farmland, spotting objects like buildings or ships, detecting changes over time, removing clouds, and estimating crop yields. There are also sections on large AI models and AI agents for this kind of imagery.","Each entry has a one-line note on what the linked project does."],"whoFor":"Researchers, students and analysts working with earth observation, mapping, farming or environmental data.","useWithoutCoding":"Yes","keywords":["satellite images","remote sensing","aerial photos","earth observation","maps"],"rating":2.5,"tags":["New this week"],"owner":{"name":"satellite-image-deep-learning","githubUrl":"https://github.com/satellite-image-deep-learning"},"license":"Apache-2.0","stars":10284,"contributors":32,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T13:03:43Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the list and pick a topic from the table of contents, such as object detection or crop classification.","Use your browser's find feature to search the page for a specific term."],"officialDownload":null},{"slug":"dograh","name":"Dograh","repo":"dograh-hq/dograh","githubUrl":"https://github.com/dograh-hq/dograh","homepage":"https://app.dograh.com/","pageUrl":"/repo/dograh","category":"Speech & audio","tagline":"Build AI voice agents that answer and make phone calls, using a visual drag-and-drop workflow builder.","whatItDoes":["Dograh is a platform for building voice AI agents, bots that speak with people on phone calls. You design the conversation in a visual builder, then test it by talking to it in your browser or chatting in text.","It connects to phone services such as Twilio and Vonage and can hand calls to a human. You can bring your own AI, speech-to-text and text-to-speech providers, or use its built-in stack. Its makers present it as a self-hostable, open-source alternative to paid services like Vapi and Retell.","The README notes it collects anonymous usage data by default, which you can switch off."],"whoFor":"Businesses and developers who want phone-calling AI agents they can host and control themselves.","useWithoutCoding":"With some setup","keywords":["voice agent","ai phone calls","call center","voice bot","self-hosted"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Dograh","githubUrl":"https://github.com/dograh-hq"},"license":"BSD-2-Clause","stars":5903,"contributors":68,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:10:07Z","sources":[{"site":"Hacker News","title":"Show HN: Dograh – an OSS Vapi alternative to quickly build and test voice agents","url":"https://news.ycombinator.com/item?id=46189836","date":"2025-12-08"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Install Docker, then run the one-line setup command from the README.","Open the local web page it gives you and create your first voice bot.","Use Test Audio to talk to your agent in the browser."],"officialDownload":null},{"slug":"browseros","name":"BrowserOS","repo":"browseros-ai/BrowserOS","githubUrl":"https://github.com/browseros-ai/BrowserOS","homepage":"https://browseros.com/","pageUrl":"/repo/browseros","category":"AI agents","tagline":"A second web browser that your AI assistant can drive to do online tasks for you.","whatItDoes":["BrowserOS neo is a separate browser that sits next to Chrome and is built for AI agents (AI that takes actions, not just answers). You can bring over your logins and bookmarks from Chrome, connect an AI tool you already use, and hand it web tasks such as clearing your inbox or updating a spreadsheet-like tool.","Each agent works in its own tab, several can run at once, and every session is saved like a video so you can replay what happened. Its makers say sessions, screenshots and history stay on your computer, though the app sends anonymous usage events unless you switch them off.","The same project also includes the original BrowserOS, a browser you drive yourself with an AI helper in every new tab, which can use your own AI keys or run models locally."],"whoFor":"People who already use an AI assistant and want it to handle web tasks inside their own logged-in accounts.","useWithoutCoding":"Yes","keywords":["ai browser","automate web tasks","browser agent","chrome alternative"],"rating":2.5,"tags":["New this week"],"owner":{"name":"BrowserOS","githubUrl":"https://github.com/browseros-ai"},"license":"AGPL-3.0","stars":13979,"contributors":21,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T19:45:40Z","sources":[{"site":"Hacker News","title":"Show HN: BrowserOS – \"Claude Cowork\" in the browser","url":"https://news.ycombinator.com/item?id=46721474","date":"2026-01-22"},{"site":"Hacker News","title":"Show HN: We packaged an MCP server inside Chromium","url":"https://news.ycombinator.com/item?id=45618536","date":"2025-10-17"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the BrowserOS neo installer for your computer from the project's website.","Import your logins and bookmarks from Chrome with one click.","Connect the AI assistant you already use, then give it a task from that assistant."],"officialDownload":null},{"slug":"operit","name":"Operit AI","repo":"AAswordman/Operit","githubUrl":"https://github.com/AAswordman/Operit","homepage":"https://operit.app/","pageUrl":"/repo/operit","category":"AI agents","tagline":"An Android app with an AI assistant that can use your phone's apps, files, browser and terminal to do tasks.","whatItDoes":["Operit is an AI agent app for Android. Beyond chatting, it can carry out tasks on your phone: search for information, work with files, browse the web with a built-in browser, operate app screens (after you give permission) and even write code.","You can connect it to online AI services such as OpenAI, Anthropic or Gemini, or run models on the phone itself. It also offers long-term memory, characters, a Linux terminal environment and a marketplace of add-on tools.","This repository is the Android edition; the README points to a separate second-generation version for other platforms."],"whoFor":"Android users who want a powerful, customizable AI assistant on their phone, and tinkerers who like automation.","useWithoutCoding":"Yes","keywords":["android ai assistant","phone automation","ai agent app","chatbot","mobile"],"rating":2.5,"tags":["New this week"],"owner":{"name":"AAswordsman","githubUrl":"https://github.com/AAswordman"},"license":"LGPL-3.0","stars":8806,"contributors":39,"monthlyDownloads":null,"lastPushedAt":"2026-10-05T16:58:09Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Phone"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the latest app file from the project's GitHub releases page or its website, and install it on your Android phone.","Open the app and follow the setup steps to choose an AI model and grant permissions."],"officialDownload":"https://github.com/AAswordman/Operit/releases"},{"slug":"lifeos","name":"LifeOS","repo":"danielmiessler/LifeOS","githubUrl":"https://github.com/danielmiessler/LifeOS","homepage":"https://ourlifeos.ai/","pageUrl":"/repo/lifeos","category":"Add-ons for AI coding tools","tagline":"Turns an AI coding assistant into a personal assistant that knows your goals and remembers your work.","whatItDoes":["LifeOS is a layer added on top of an AI coding assistant such as Claude Code. It records who you are, what you care about and where you are trying to go, then uses that context to help with work and life projects.","It adds persistent memory between sessions, a bundled library of skills (for research, writing, security and more), and automatic routing so a request like \"research this\" triggers the right workflow. Its makers describe its central idea as moving you from your current state to your ideal state.","It is installed by giving your AI assistant a short instruction to read the install page."],"whoFor":"People who already use an AI coding assistant and want it to act as a personal assistant.","useWithoutCoding":"With some setup","keywords":["personal ai","productivity","claude code","life goals","memory"],"rating":2.5,"tags":[],"owner":{"name":"Daniel Miessler 🛡️","githubUrl":"https://github.com/danielmiessler"},"license":"MIT","stars":19502,"contributors":36,"monthlyDownloads":null,"lastPushedAt":"2026-09-04T01:07:21Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Set up a capable AI coding assistant, such as Claude Code, and the Bun tool.","Paste the one-line install request from the README into your AI assistant.","Let the assistant walk through setup, approving each step it asks about."],"officialDownload":"https://ourlifeos.ai/install"},{"slug":"cocoindex","name":"CocoIndex","repo":"cocoindex-io/cocoindex","githubUrl":"https://github.com/cocoindex-io/cocoindex","homepage":"https://cocoindex.io/","pageUrl":"/repo/cocoindex","category":"Developer building blocks","tagline":"A Python framework that keeps your data continuously ready for AI agents and apps.","whatItDoes":["CocoIndex is a tool for programmers that turns sources like codebases, notes, PDFs and videos into fresh, searchable context for AI agents and apps.","It is built to be incremental, meaning when your data changes it only reprocesses the parts that changed instead of redoing everything.","Its makers say you describe in Python what you want the result to contain, and the engine keeps it up to date."],"whoFor":"Developers building AI agents or search features that need to stay in sync with changing data.","useWithoutCoding":"Developers only","keywords":["data indexing","rag","search","ai context","python"],"rating":2.5,"tags":["New this week"],"owner":{"name":"CocoIndex","githubUrl":"https://github.com/cocoindex-io"},"license":"Apache-2.0","stars":11718,"contributors":98,"monthlyDownloads":67727,"lastPushedAt":"2026-10-18T04:32:14Z","sources":[{"site":"Hacker News","title":"Show HN: CocoIndex – Open-Source Data framework for AI, built for data freshness","url":"https://news.ycombinator.com/item?id=43772582","date":"2025-04-23"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"mlalgorithms","name":"MLAlgorithms","repo":"rushter/MLAlgorithms","githubUrl":"https://github.com/rushter/MLAlgorithms","homepage":null,"pageUrl":"/repo/mlalgorithms","category":"Learning resources","tagline":"Simple, readable code examples of classic machine-learning methods, written to help you learn how they work.","whatItDoes":["This project collects short, clean versions of well-known machine-learning methods, written in Python. Examples include neural networks, random forests, k-means clustering, support vector machines and a basic form of reinforcement learning.","The code is meant to be easy to read rather than fast. Its author says it is aimed at people who want to understand the inner workings of these methods or write them from scratch."],"whoFor":"Students and programmers learning how machine learning works under the hood.","useWithoutCoding":"Developers only","keywords":["learn machine learning","algorithms","neural network","python examples"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Artem Golubin","githubUrl":"https://github.com/rushter"},"license":"MIT","stars":11178,"contributors":28,"monthlyDownloads":null,"lastPushedAt":"2026-09-29T08:16:03Z","sources":[{"site":"Hacker News","title":"Machine learning algorithms","url":"https://news.ycombinator.com/item?id=12956687","date":"2016-11-15"},{"site":"Hacker News","title":"A collection of minimal and clean implementations of machine learning algorithms","url":"https://news.ycombinator.com/item?id=12944266","date":"2016-11-13"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"marvin","name":"Marvin","repo":"PrefectHQ/marvin","githubUrl":"https://github.com/PrefectHQ/marvin","homepage":"https://marvin.mintlify.app/","pageUrl":"/repo/marvin","category":"Developer building blocks","tagline":"A Python library that uses AI to pull tidy, structured information out of messy text and run simple agent workflows.","whatItDoes":["Marvin helps programmers hand work to AI models in a few lines of code. It can extract facts from text, sort text into categories, convert loose descriptions into neat data, and generate new data.","For bigger jobs, developers describe tasks, assign AI agents to them, and link tasks together into a thread.","It uses OpenAI by default and supports other providers, so you need an API key from your chosen AI service."],"whoFor":"Python developers who want AI to handle data extraction and small automated tasks.","useWithoutCoding":"Developers only","keywords":["structured data","extract information","python","ai agents"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Prefect","githubUrl":"https://github.com/PrefectHQ"},"license":"Apache-2.0","stars":6206,"contributors":62,"monthlyDownloads":null,"lastPushedAt":"2026-09-23T18:34:18Z","sources":[{"site":"Hacker News","title":"Show HN: Marvin – build AI functions that use an LLM as a runtime","url":"https://news.ycombinator.com/item?id=35366838","date":"2023-03-30"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"kaku","name":"Kaku","repo":"tw93/Kaku","githubUrl":"https://github.com/tw93/Kaku","homepage":"https://kaku.fun/","pageUrl":"/repo/kaku","category":"Coding assistants","tagline":"A ready-to-use Mac terminal app with built-in AI help and support for AI coding agents.","whatItDoes":["Kaku is a terminal, the app programmers use to type commands, for Mac. It's built on WezTerm and comes with fonts, themes, tabs and Mac shortcuts already set up.","It shows which AI agent is working and on what, and notifies you when Claude Code needs your input. An optional assistant can suggest a fix when a command fails, turn a plain-language description into a command, or chat about what's on screen.","The AI assistant uses an AI service you set up yourself; Kaku doesn't provide one. It also lets you reach your Mac's terminals from a browser on another computer."],"whoFor":"Mac users who work in the terminal, especially with AI coding agents like Claude Code or Codex.","useWithoutCoding":"Yes","keywords":["terminal","mac","command line","claude code","developer tools"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Tw93","githubUrl":"https://github.com/tw93"},"license":"MIT","stars":6132,"contributors":63,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:25:09Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the Kaku disk image from the project's releases page, open it and drag Kaku into Applications.","Open Kaku and follow its setup, and optionally connect your own AI service for the assistant."],"officialDownload":"https://github.com/tw93/Kaku/releases"},{"slug":"lobsterai","name":"LobsterAI","repo":"netease-youdao/LobsterAI","githubUrl":"https://github.com/netease-youdao/LobsterAI","homepage":"https://lobsterai.youdao.com/","pageUrl":"/repo/lobsterai","category":"AI agents","tagline":"A desktop AI assistant from NetEase Youdao that works with your files, documents and browser to finish office tasks.","whatItDoes":["LobsterAI is a desktop app with an AI agent that works in your real computer setup. It can handle files, run commands, use a browser, and create documents, spreadsheets, slides and videos. It asks for approval before sensitive actions.","You can create specialized agents, schedule recurring jobs like daily news digests, and send it commands from chat apps such as WeChat, Feishu, DingTalk or Telegram. It is built on OpenClaw, another open-source agent project.","Sessions and data are stored locally on your computer."],"whoFor":"Office workers and power users who want an AI assistant that can do real tasks on their computer.","useWithoutCoding":"Yes","keywords":["desktop assistant","office automation","ai agent","slides","productivity"],"rating":2.5,"tags":["New this week"],"owner":{"name":"NetEase Youdao","githubUrl":"https://github.com/netease-youdao"},"license":"MIT","stars":6125,"contributors":63,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T14:24:27Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Mac","Windows"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Download the installer for Mac or Windows from the project's website or GitHub releases page.","Open LobsterAI and follow the setup to start your first task."],"officialDownload":"https://github.com/netease-youdao/LobsterAI/releases"},{"slug":"codeburn","name":"CodeBurn","repo":"getagentseal/codeburn","githubUrl":"https://github.com/getagentseal/codeburn","homepage":"https://codeburn.app/","pageUrl":"/repo/codeburn","category":"Add-ons for AI coding tools","tagline":"Shows how much you spend on AI coding tools, broken down by project, model and task.","whatItDoes":["AI coding tools such as Claude Code, Cursor and Codex usually give you a single monthly bill. CodeBurn reads the session files these tools already save on your computer and works out what each project, model and kind of task cost.","It has a desktop app, a Mac menu-bar view, a Windows tray app and a terminal view. It can compare time periods, show how much of a subscription plan is left, and suggest settings that waste fewer tokens (the units AI services charge by).","There is no account or sign-up, and it works from files on your own disk. Optional spending caps can warn about or stop expensive Claude Code sessions."],"whoFor":"Programmers and teams who use AI coding assistants and want to understand or control the cost.","useWithoutCoding":"Yes","keywords":["ai cost","token usage","claude code","spending tracker","budget"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Agentseal","githubUrl":"https://github.com/getagentseal"},"license":"MIT","stars":11509,"contributors":99,"monthlyDownloads":33481,"lastPushedAt":"2026-10-17T15:32:55Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Download the CodeBurn desktop app for your computer from the project's website, or get it from the Microsoft Store on Windows.","Open it and it finds the AI coding tools you already use and shows what you have spent."],"officialDownload":null},{"slug":"agent-device","name":"agent-device","repo":"callstack/agent-device","githubUrl":"https://github.com/callstack/agent-device","homepage":"https://agent-device.dev/","pageUrl":"/repo/agent-device","category":"Add-ons for AI coding tools","tagline":"Lets AI coding agents open, tap through and check mobile and desktop apps to verify their own changes.","whatItDoes":["agent-device gives AI coding agents a way to use the app they are building. The agent can open the app, read what's on screen, tap buttons, type text, take screenshots and record evidence of what happened.","It works with iPhone and Android simulators and real devices, HarmonyOS, TV platforms, web pages, macOS and Linux. Instead of guessing from screenshots, agents read the app's accessibility information, the labels screen readers use, which its makers say is more efficient.","It works with Claude Code, Codex, Cursor, Windsurf, Cline and other agents, either as a command-line tool, an MCP server or a Node.js library."],"whoFor":"App developers who use AI coding agents and want them to test changes in the real app.","useWithoutCoding":"Developers only","keywords":["mobile app testing","ai coding agent","ios simulator","android emulator","automation"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Callstack","githubUrl":"https://github.com/callstack"},"license":"MIT","stars":5069,"contributors":74,"monthlyDownloads":1021429,"lastPushedAt":"2026-10-18T19:52:02Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Install Node.js, then install agent-device and run its built-in setup check.","Connect it to your coding agent as a tool, or let the agent use it from the terminal."],"officialDownload":null},{"slug":"gpustack","name":"GPUStack","repo":"gpustack/gpustack","githubUrl":"https://github.com/gpustack/gpustack","homepage":"https://gpustack.ai/","pageUrl":"/repo/gpustack","category":"Running AI at scale","tagline":"Manages groups of graphics cards to run AI models for many users and hand out GPU machines on demand.","whatItDoes":["GPUStack is software for managing clusters of graphics cards (GPUs), the chips that run AI models. It can manage machines in your own building, in Kubernetes setups and with cloud providers.","It sets up and tunes engines such as vLLM, SGLang and TensorRT-LLM to serve text, voice, image and video models. Its makers say new models can be deployed on the day they are released. It can also start GPU machines that developers log into directly.","It includes user accounts, access control, monitoring and tracking of usage. A paid enterprise edition adds extra views."],"whoFor":"IT teams and companies that run AI models on their own GPU servers for many users.","useWithoutCoding":"Developers only","keywords":["gpu cluster","model serving","self-hosted ai","inference","vllm"],"rating":2.5,"tags":["New this week"],"owner":{"name":"GPUStack","githubUrl":"https://github.com/gpustack"},"license":"Apache-2.0","stars":5844,"contributors":67,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:23:12Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Linux","Server","Cloud"],"hardware":"Made for servers or data centres","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Prepare a Linux machine with at least one NVIDIA graphics card, its driver, Docker and NVIDIA's container toolkit.","Start the GPUStack server with Docker as shown in the README.","Use its web interface to add worker machines and deploy models."],"officialDownload":null},{"slug":"mimo-code","name":"MiMoCode","repo":"XiaomiMiMo/MiMo-Code","githubUrl":"https://github.com/XiaomiMiMo/MiMo-Code","homepage":"https://mimo.xiaomi.com/mimocode","pageUrl":"/repo/mimo-code","category":"Coding assistants","tagline":"A command-line coding helper that reads, writes and runs code, and remembers your project.","whatItDoes":["MiMoCode is an AI coding assistant that works in a terminal window. It can read and write code, run commands, and manage version history, and it keeps notes about your project so it understands it across sessions.","There is also a desktop app, built on the same engine, that can handle office work, design, coding and other tasks in one place, with results you can preview and edit.","Its makers say it can connect to most popular AI model providers, so you can pick which model powers it."],"whoFor":"Programmers who want an AI helper in their terminal or on the desktop, with memory of past work.","useWithoutCoding":"With some setup","keywords":["coding assistant","terminal","ai pair programmer","code helper"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Xiaomi MiMo","githubUrl":"https://github.com/XiaomiMiMo"},"license":"MIT","stars":13683,"contributors":21,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T16:13:31Z","sources":[{"site":"Hacker News","title":"MiMo v2.6","url":"https://news.ycombinator.com/item?id=49792730","date":"2026-09-21"},{"site":"Hacker News","title":"MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second","url":"https://news.ycombinator.com/item?id=48446639","date":"2026-06-08"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Install the tool using the command shown on its website, or download the desktop app.","The first time you open it, sign in or connect an AI provider.","Open a project and tell it what you want to do."],"officialDownload":null},{"slug":"repowise","name":"Repowise","repo":"repowise-dev/repowise","githubUrl":"https://github.com/repowise-dev/repowise","homepage":"https://repowise.dev/","pageUrl":"/repo/repowise","category":"Add-ons for AI coding tools","tagline":"Maps a codebase on your computer so you and your AI coding agent can ask how it works.","whatItDoes":["Repowise builds a map of a software project, including which parts call which, its change history, tests, documentation and past design decisions. It does this once on your own machine, then updates it as code changes.","You or your AI coding agent can then ask questions such as 'what breaks if I change this?', 'what code is unused?' or 'why was this built this way?'. It connects to agents like Claude Code, Codex and Cursor through MCP, a standard way to give AI tools extra abilities.","Its makers say this lets agents stop re-reading files, which saves tokens (the units AI services charge for). The core features need no AI key. A hosted service and enterprise features are offered for a fee."],"whoFor":"Developers and engineering teams who use AI coding agents on large or unfamiliar codebases.","useWithoutCoding":"Developers only","keywords":["codebase","code documentation","dead code","coding agent","mcp"],"rating":2.5,"tags":["New this week"],"owner":{"name":"Repowise","githubUrl":"https://github.com/repowise-dev"},"license":"AGPL-3.0","stars":7843,"contributors":165,"monthlyDownloads":16776,"lastPushedAt":"2026-10-18T19:55:00Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Open your AI coding agent in your project and ask it to set up Repowise using the setup guide the README links to.","Or install Repowise yourself with a Python tool installer and run its setup in your project folder.","Ask your agent questions, such as what would break if you changed a certain file."],"officialDownload":null},{"slug":"lmdeploy","name":"LMDeploy","repo":"InternLM/lmdeploy","githubUrl":"https://github.com/InternLM/lmdeploy","homepage":"https://lmdeploy.readthedocs.io/en/latest","pageUrl":"/repo/lmdeploy","category":"Running AI at scale","tagline":"A toolkit for compressing AI language models and serving them quickly on your own GPUs.","whatItDoes":["LMDeploy helps teams run large language models efficiently. It can compress models (for example to 4-bit) so they use less memory, and it serves them through a fast engine so many people can use them at once.","Its makers report speed gains over other serving tools and support for many popular open models, including image-and-text models. It works with NVIDIA graphics cards and some other AI chips."],"whoFor":"Engineers deploying open AI models in production.","useWithoutCoding":"Developers only","keywords":["model serving","llm inference","quantization","deploy ai","gpu"],"rating":2.5,"tags":["Research-backed","New this week"],"owner":{"name":"InternLM","githubUrl":"https://github.com/InternLM"},"license":"Apache-2.0","stars":8108,"contributors":157,"monthlyDownloads":23478,"lastPushedAt":"2026-10-16T10:56:18Z","sources":[{"site":"Research paper","title":"LMDeploy Accelerates Mixed-Precision LLM Inference with TurboMind","url":"https://arxiv.org/abs/2508.15601","date":"2025-08-01"},{"site":"Research paper","title":"AWQ","url":"https://arxiv.org/abs/2306.00978","date":"2023-06-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Server","Linux"],"hardware":"Made for servers or data centres","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"mobile-mcp","name":"Mobile MCP","repo":"mobile-next/mobile-mcp","githubUrl":"https://github.com/mobile-next/mobile-mcp","homepage":"https://mobilenext.ai/","pageUrl":"/repo/mobile-mcp","category":"Add-ons for AI coding tools","tagline":"Lets AI assistants like Claude Code tap, swipe and type in iPhone and Android apps.","whatItDoes":["Mobile MCP is a connector that gives AI tools control of a phone or tablet. It uses MCP, a standard way for AI assistants to use other software. Once added, an assistant such as Claude Code or Codex can open apps, tap buttons, type, swipe and read what's on screen.","It works with iPhone and Android, on real devices and on the simulated phones developers use for testing. Its makers say it mainly reads the screen's built-in accessibility information, falling back to screenshots only when needed.","Uses include testing apps, filling in forms and running multi-step tasks in apps. The same tools can also use real devices in the company's paid cloud."],"whoFor":"App developers and testers who want an AI assistant to drive mobile apps for them.","useWithoutCoding":"With some setup","keywords":["mobile testing","iphone automation","android automation","mcp"],"rating":2,"tags":["New this week"],"owner":{"name":"Mobile Next","githubUrl":"https://github.com/mobile-next"},"license":"Apache-2.0","stars":9738,"contributors":33,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T21:23:59Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Add Mobile MCP to your AI coding tool's settings, following the README.","Connect a phone, or start an iPhone simulator or Android emulator.","Ask your AI assistant to open an app and carry out a task."],"officialDownload":null},{"slug":"officecli","name":"OfficeCLI","repo":"iOfficeAI/OfficeCLI","githubUrl":"https://github.com/iOfficeAI/OfficeCLI","homepage":"https://officecli.ai/","pageUrl":"/repo/officecli","category":"Add-ons for AI coding tools","tagline":"Lets AI agents create and edit Word, Excel and PowerPoint files without Microsoft Office installed.","whatItDoes":["OfficeCLI is a single program that AI agents can use to read, create and edit Word documents, Excel spreadsheets and PowerPoint presentations. It doesn't need Office to be installed.","It can also turn those files into web pages or images, so the AI can \"see\" what it made and fix problems. When installed, it adds itself as a skill to AI coding tools it finds, such as Claude Code and Cursor.","For people who'd rather not use a terminal, its makers point to a separate desktop app, AionUi, that uses OfficeCLI behind the scenes."],"whoFor":"People who use AI agents to produce reports, spreadsheets or slide decks.","useWithoutCoding":"With some setup","keywords":["powerpoint","excel","word","slides","office documents"],"rating":2,"tags":["Fast-rising"],"owner":{"name":"AionUi","githubUrl":"https://github.com/iOfficeAI"},"license":"Apache-2.0","stars":32145,"contributors":24,"monthlyDownloads":57015,"lastPushedAt":"2026-10-13T02:29:44Z","sources":[{"site":"Hacker News","title":"OfficeCLI: Office suite for AI agents to read and edit Microsoft Office files","url":"https://news.ycombinator.com/item?id=48807225","date":"2026-07-06"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux","Windows"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Download the program for your computer from the project's GitHub releases page.","Run its install step, which adds the OfficeCLI skill to AI coding tools it finds.","Ask your AI agent to create or edit a Word, Excel or PowerPoint file."],"officialDownload":"https://github.com/iOfficeAI/OfficeCLI/releases"},{"slug":"easy-vibe","name":"Easy-Vibe","repo":"datawhalechina/easy-vibe","githubUrl":"https://github.com/datawhalechina/easy-vibe","homepage":"https://datawhalechina.github.io/easy-vibe/","pageUrl":"/repo/easy-vibe","category":"Learning resources","tagline":"A beginner course on building real apps with AI coding tools, starting from zero.","whatItDoes":["\"Vibe coding\" means building software by describing what you want to an AI and letting it write the code. Easy-Vibe is a free course that teaches this, aimed at people starting from scratch.","It has learning paths for beginners, junior developers and advanced developers. Lessons use step-by-step visuals, a simulated coding screen and interactive pieces that show how AI ideas work, such as how AI makes images or how it looks things up in documents. It's available in 10 languages."],"whoFor":"Beginners and product makers who want to turn ideas into working apps with AI's help.","useWithoutCoding":"Yes","keywords":["vibe coding","learn to code","beginner","build an app","course"],"rating":2,"tags":[],"owner":{"name":"Datawhale","githubUrl":"https://github.com/datawhalechina"},"license":null,"stars":19902,"contributors":34,"monthlyDownloads":null,"lastPushedAt":"2026-08-25T01:50:10Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Open the Easy-Vibe tutorial website and read it online.","Pick the learning path that matches your level, such as the fast first win for beginners."],"officialDownload":null},{"slug":"jeffallan-claude-skills","name":"Claude Skills (Full-Stack Dev Skills)","repo":"Jeffallan/claude-skills","githubUrl":"https://github.com/Jeffallan/claude-skills","homepage":null,"pageUrl":"/repo/jeffallan-claude-skills","category":"Add-ons for AI coding tools","tagline":"A pack of skills that gives the Claude Code assistant expert know-how for many programming tasks.","whatItDoes":["This is a collection of skills for Claude Code, Anthropic's AI coding assistant. A skill is a set of instructions and reference notes the assistant loads when a task needs it.","The skills cover programming languages, website and app frameworks, testing, security, data and cloud tools. The README says they switch on automatically based on what you ask, and several can work together on bigger jobs.","It also includes project workflow commands that connect to Jira and Confluence, which needs extra setup."],"whoFor":"Programmers who use Claude Code and want it to follow expert practices across many technologies.","useWithoutCoding":"With some setup","keywords":["claude code","skills","plugins","coding helper"],"rating":2,"tags":["New this week"],"owner":{"name":"Jeffallan","githubUrl":"https://github.com/Jeffallan"},"license":"MIT","stars":11932,"contributors":25,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T16:29:21Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Open Claude Code, the AI coding assistant.","Add this project's plugin marketplace and install the skills plugin."],"officialDownload":null},{"slug":"dowhy","name":"DoWhy","repo":"py-why/dowhy","githubUrl":"https://github.com/py-why/dowhy","homepage":"https://www.pywhy.org/dowhy","pageUrl":"/repo/dowhy","category":"Data science tools","tagline":"A Python library for working out cause and effect in data, not just patterns.","whatItDoes":["Most data tools find patterns, like two things that rise together. DoWhy helps answer cause-and-effect questions, such as \"what would happen if we changed this?\" This field is called causal inference.","You write down your assumptions about how things are connected, and DoWhy estimates the effects. A key feature is that it tests those assumptions, which its makers say makes the results more robust and easier for non-experts to use.","It also helps find the root cause of a problem and explore \"what if\" scenarios. It's part of the wider PyWhy group of causality tools."],"whoFor":"Data scientists, analysts and researchers who need to measure the real effect of a decision or change.","useWithoutCoding":"Developers only","keywords":["cause and effect","causal inference","data science","root cause","statistics"],"rating":2,"tags":["New this week"],"owner":{"name":"PyWhy","githubUrl":"https://github.com/py-why"},"license":"MIT","stars":8359,"contributors":122,"monthlyDownloads":138250,"lastPushedAt":"2026-10-18T16:14:40Z","sources":[{"site":"Hacker News","title":"DoWhy is a Python library for causal inference","url":"https://news.ycombinator.com/item?id=31788732","date":"2022-06-18"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"grobid","name":"GROBID","repo":"grobidOrg/grobid","githubUrl":"https://github.com/grobidOrg/grobid","homepage":"https://grobid.readthedocs.io/","pageUrl":"/repo/grobid","category":"Documents & knowledge","tagline":"Pulls titles, authors, references and full text out of scientific PDFs into structured data.","whatItDoes":["GROBID reads scholarly PDF documents and pulls out their parts, such as title, authors, affiliations, abstract, references and the main text, in an organised format.","It uses machine learning to recognise these parts, and can match references to their official records. Its makers say it is used in production by many research and archive services.","It runs as a web service on your own server, and public demo servers are available for trying it out."],"whoFor":"Libraries, research platforms and developers who process large numbers of scientific papers.","useWithoutCoding":"With some setup","keywords":["pdf extraction","scientific papers","references","citations"],"rating":2,"tags":["New this week"],"owner":{"name":"Grobid","githubUrl":"https://github.com/grobidOrg"},"license":"Apache-2.0","stars":5185,"contributors":77,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T22:07:11Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Mac","Server"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Try the public demo server mentioned in the README with a sample PDF.","For regular use, run GROBID on your own machine with its Docker container and send PDFs to its web service."],"officialDownload":"https://github.com/grobidOrg/grobid/releases/"},{"slug":"vibe","name":"Vibe","repo":"thewh1teagle/vibe","githubUrl":"https://github.com/thewh1teagle/vibe","homepage":"https://thewh1teagle.github.io/vibe/","pageUrl":"/repo/vibe","category":"Speech & audio","tagline":"A desktop app that turns speech in audio and video into text, on your own device.","whatItDoes":["Vibe transcribes audio and video into written text on your own computer, so your recordings never leave your device.","It handles many languages, can transcribe batches of files, label who is speaking, and save results in many formats including subtitles and documents.","It can optionally summarise transcripts using an online AI service or a local AI tool, and you can even send audio from your phone for your computer to transcribe."],"whoFor":"Anyone who wants private transcripts or subtitles without sending files to the cloud.","useWithoutCoding":"Yes","keywords":["transcribe","subtitles","speech to text","offline","whisper"],"rating":2,"tags":["New this week"],"owner":{"name":"thewh1teagle","githubUrl":"https://github.com/thewh1teagle"},"license":"MIT","stars":7821,"contributors":44,"monthlyDownloads":null,"lastPushedAt":"2026-10-06T11:28:19Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Download Vibe for your computer from the project's website.","Open it and choose an audio or video file to transcribe.","Save the text in the format you want."],"officialDownload":null},{"slug":"taskmaster","name":"Taskmaster","repo":"eyaltoledano/claude-task-master","githubUrl":"https://github.com/eyaltoledano/claude-task-master","homepage":"https://tryhamster.com/","pageUrl":"/repo/taskmaster","category":"Add-ons for AI coding tools","tagline":"Breaks a software project into an organised task list that AI coding tools can work through.","whatItDoes":["Taskmaster is a task manager built for AI-assisted programming. It turns a project plan into tasks, tracks which tasks depend on others, and helps an AI coding assistant pick the next job.","It plugs into tools such as Cursor, Claude Code and Windsurf. You need your own key from an AI provider, and you can choose separate models for planning and research."],"whoFor":"Programmers who use AI coding tools on larger projects.","useWithoutCoding":"Developers only","keywords":["task manager","project planning","cursor","claude code","to-do list"],"rating":2,"tags":[],"owner":{"name":"Eyal Toledano","githubUrl":"https://github.com/eyaltoledano"},"license":"NOASSERTION","stars":28243,"contributors":57,"monthlyDownloads":null,"lastPushedAt":"2026-04-28T13:27:12Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Add Taskmaster to your AI code editor, such as Cursor or Claude Code.","Add an API key from an AI provider, or use Claude Code or Codex sign-in instead.","Ask your AI assistant to set up Taskmaster and turn your project plan into tasks."],"officialDownload":null},{"slug":"blinko","name":"Blinko","repo":"blinkospace/blinko","githubUrl":"https://github.com/blinkospace/blinko","homepage":"https://blinko.space/","pageUrl":"/repo/blinko","category":"Documents & knowledge","tagline":"A self-hosted note-taking app for quick ideas, with AI search that answers questions about your notes.","whatItDoes":["Blinko is a note app built for jotting down quick thoughts on small cards before they slip away. Notes are stored as plain text with Markdown, a simple way to add formatting.","It uses AI to help you find things again. Using a method called RAG (retrieval-augmented generation, where the AI looks up your own notes before answering), you can search in everyday language instead of exact keywords.","You run it on your own server, so your notes stay under your control. There are apps for macOS, Windows, Linux and Android, and an online demo to try first."],"whoFor":"People who want a private, self-hosted place for quick notes with AI-powered search.","useWithoutCoding":"With some setup","keywords":["notes app","self-hosted","ai search","markdown","second brain"],"rating":2,"tags":["New this week"],"owner":{"name":"Blinko Space","githubUrl":"https://github.com/blinkospace"},"license":"GPL-3.0","stars":11102,"contributors":74,"monthlyDownloads":null,"lastPushedAt":"2026-08-27T05:11:11Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Phone","Server"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Install Docker on the computer or server that will hold your notes.","Run the install script from the README to start Blinko.","Open Blinko in your browser or its app and start writing notes."],"officialDownload":null},{"slug":"code-graph-rag","name":"Code-Graph-RAG","repo":"vitali87/code-graph-rag","githubUrl":"https://github.com/vitali87/code-graph-rag","homepage":"https://code-graph-rag.com/","pageUrl":"/repo/code-graph-rag","category":"Coding assistants","tagline":"Maps a whole codebase into a graph so you can ask questions about it and edit it with AI.","whatItDoes":["Code-Graph-RAG reads every file in a software project and records its functions, classes and how they connect, in a knowledge graph (a map of things and their links).","You can then ask questions in plain language and get answers based on the real structure of the code. It can also fetch code by name or purpose, edit code with a preview of the changes, and find code that's never used.","It supports many programming languages, including Python, TypeScript, Rust, Go, Java and C++."],"whoFor":"Developers working on large or unfamiliar codebases.","useWithoutCoding":"Developers only","keywords":["codebase search","code understanding","knowledge graph","refactoring"],"rating":2,"tags":["New this week"],"owner":{"name":"Vitali Avagyan","githubUrl":"https://github.com/vitali87"},"license":"MIT","stars":5264,"contributors":74,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:19:33Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"ai-research-skills","name":"AI Research Skills","repo":"Orchestra-Research/AI-Research-SKILLs","githubUrl":"https://github.com/Orchestra-Research/AI-Research-SKILLs","homepage":"http://orchestra-research.com/","pageUrl":"/repo/ai-research-skills","category":"Add-ons for AI coding tools","tagline":"A large library of add-on skills that help AI coding assistants carry out AI research projects.","whatItDoes":["This project is a collection of \"skills\": packaged instructions and know-how that AI coding assistants such as Claude Code, Codex or Gemini CLI can load. Each skill teaches the assistant how to use a specific AI research tool, such as software for training, fine-tuning or testing models.","Its makers say the goal is to let an AI agent run the whole research process on its own, from brainstorming ideas and reading earlier work to running experiments and writing a paper. A central \"autoresearch\" skill coordinates the others.","The skills are grouped into categories like fine-tuning, model architecture, evaluation, safety and paper writing, and you can install all of them or only the ones you need."],"whoFor":"AI researchers and engineers who already use an AI coding assistant and want it to handle research and model-training work.","useWithoutCoding":"With some setup","keywords":["ai research","claude code skills","research agent","fine-tuning","paper writing"],"rating":2,"tags":["New this week"],"owner":{"name":"Orchestra Research","githubUrl":"https://github.com/Orchestra-Research"},"license":"MIT","stars":13666,"contributors":17,"monthlyDownloads":null,"lastPushedAt":"2026-10-11T02:56:34Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Install an AI coding assistant such as Claude Code, Codex or Gemini CLI.","Run the project's interactive installer, which finds your coding assistants and lets you choose which skills to add.","Ask your assistant to start a research task and let the skills guide it."],"officialDownload":null},{"slug":"osaurus","name":"Osaurus","repo":"osaurus-ai/osaurus","githubUrl":"https://github.com/osaurus-ai/osaurus","homepage":"https://osaurus.ai/","pageUrl":"/repo/osaurus","category":"AI agents","tagline":"A Mac app for running AI agents with memory and tools, using local models or cloud ones when you choose.","whatItDoes":["Osaurus is a native Mac app that sits between you and an AI model. It gives you agents, each with its own instructions, memory and tools, that can work on files, browse the web and run code in a safe, separate sandbox.","Its makers say it works fully offline with local models, and that nothing leaves your Mac unless you connect a cloud provider. When you do, an on-device filter can spot personal details such as names and emails before they are sent.","It also has optional features for reaching your agents from elsewhere and letting agents talk to each other securely."],"whoFor":"Mac users who want private AI agents that keep their memory and data on their own computer.","useWithoutCoding":"Yes","keywords":["mac ai app","offline ai","local agents","private ai","apple silicon"],"rating":2,"tags":["New this week"],"owner":{"name":"Osaurus","githubUrl":"https://github.com/osaurus-ai"},"license":"MIT","stars":8055,"contributors":41,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:27:26Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the Osaurus disk image for Mac from the project's releases page.","Open the app and choose a model to download during setup.","Create an agent or start chatting."],"officialDownload":"https://github.com/osaurus-ai/osaurus/releases/latest"},{"slug":"awesome-nano-banana-pro-prompts","name":"Awesome Nano Banana Pro Prompts","repo":"YouMind-OpenLab/awesome-nano-banana-pro-prompts","githubUrl":"https://github.com/YouMind-OpenLab/awesome-nano-banana-pro-prompts","homepage":"https://youmind.com/nano-banana-pro-prompts","pageUrl":"/repo/awesome-nano-banana-pro-prompts","category":"Images & video","tagline":"A large, searchable collection of ready-made prompts for making pictures with Google's Nano Banana Pro image model.","whatItDoes":["This is a library of example prompts, the written instructions you give an AI to get a particular picture. They are meant for Nano Banana Pro, an image-making AI from Google that works through Gemini.","The prompts are grouped by use, such as profile pictures, social media posts, posters, product photos and YouTube thumbnails, and by style, such as watercolor, anime, pixel art or 3D. Many come with preview images so you can see the result before trying it.","Its makers say the prompts were gathered from the community and are shared for learning. There is also an online gallery with search and filters."],"whoFor":"Anyone who makes images with Gemini and wants ideas or a starting point, from social media creators to small businesses.","useWithoutCoding":"Yes","keywords":["image prompts","gemini images","ai art ideas","thumbnail","poster"],"rating":2,"tags":["New this week"],"owner":{"name":"YouMind OpenLab","githubUrl":"https://github.com/YouMind-OpenLab"},"license":"NOASSERTION","stars":13624,"contributors":3,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:08:25Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Browse the prompts on the project page or in its online gallery, by use case or by style.","Copy a prompt you like into Google's Gemini image tool and change the details to suit you."],"officialDownload":null},{"slug":"fay","name":"Fay","repo":"xszyou/Fay","githubUrl":"https://github.com/xszyou/Fay","homepage":null,"pageUrl":"/repo/fay","category":"AI agents","tagline":"A framework for building talking digital characters and voice assistants that connect to AI models and business systems.","whatItDoes":["Fay is a Chinese-language framework for building \"digital humans\": on-screen characters or voice assistants that listen, think with an AI model and speak back. It links speech recognition, text-to-speech and a large language model together.","Its makers say it can run fully offline and lets you swap in different AI models, voices and character models. It offers interfaces for websites, apps, big screens and small devices, plus features like custom knowledge, wake words and automatic announcements (for example a virtual teacher or news reader).","Setup is done from the source code with Python, and there is a web page for managing it once it runs."],"whoFor":"Developers and businesses building virtual presenters, assistants or customer-facing characters.","useWithoutCoding":"Developers only","keywords":["digital human","virtual assistant","avatar","voice assistant","virtual presenter"],"rating":2,"tags":["New this week"],"owner":{"name":"guo zebin","githubUrl":"https://github.com/xszyou"},"license":"GPL-3.0","stars":13580,"contributors":7,"monthlyDownloads":null,"lastPushedAt":"2026-09-21T08:56:33Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Mac","Linux"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"openagent","name":"OpenAgent","repo":"the-open-agent/openagent","githubUrl":"https://github.com/the-open-agent/openagent","homepage":"https://openagentai.org/","pageUrl":"/repo/openagent","category":"AI agents","tagline":"A self-hosted personal AI assistant that chats, searches your documents, browses the web and runs tasks.","whatItDoes":["OpenAgent is an open-source personal AI assistant you run yourself. It connects to more than 30 AI providers, including OpenAI, Anthropic, Google, DeepSeek and local models through Ollama, and you can switch per conversation.","It can build a knowledge base from your own files, such as PDFs and Word documents, and answer using them. Its agents can drive a web browser, search the web, run commands, edit Office files and use MCP tools.","It ships as a single program for Linux, Mac and Windows, with a web interface and usage tracking. There is an online demo to try first."],"whoFor":"Tech-comfortable individuals and teams who want their own all-in-one AI assistant.","useWithoutCoding":"With some setup","keywords":["personal assistant","self-hosted","knowledge base","browser automation","agents"],"rating":2,"tags":["New this week"],"owner":{"name":"openagent AI","githubUrl":"https://github.com/the-open-agent"},"license":"Apache-2.0","stars":5698,"contributors":65,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T10:50:33Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Run the project's install script for your computer, which downloads and starts OpenAgent.","Open it in your browser and connect an AI provider or a local model."],"officialDownload":null},{"slug":"ufo","name":"UFO","repo":"microsoft/UFO","githubUrl":"https://github.com/microsoft/UFO","homepage":"https://microsoft.github.io/UFO/","pageUrl":"/repo/ufo","category":"AI agents","tagline":"Microsoft research agents that operate Windows apps, and coordinate tasks across several devices, from plain requests.","whatItDoes":["UFO is a project from Microsoft that lets an AI agent use a computer for you. The UFO² part focuses on Windows: you describe a task and the agent clicks, types and uses apps to carry it out.","The newer Galaxy part splits a big task into steps and spreads them across several devices, such as Windows and Linux computers and Android phones. Both need an API key from an AI model provider."],"whoFor":"Developers and researchers exploring AI that controls desktop apps and devices.","useWithoutCoding":"Developers only","keywords":["computer use agent","windows automation","ai assistant for pc","desktop agent"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"Microsoft","githubUrl":"https://github.com/microsoft"},"license":"MIT","stars":10064,"contributors":30,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T13:15:14Z","sources":[{"site":"Research paper","title":"UFO² paper","url":"https://arxiv.org/abs/2504.14603","date":"2025-04-01"},{"site":"Research paper","title":"UFO³ paper","url":"https://arxiv.org/abs/2511.11332","date":"2025-11-01"},{"site":"Hacker News","title":"UFO: A UI-Focused AI Agent for Windows OS Interaction","url":"https://news.ycombinator.com/item?id=39368392","date":"2024-02-14"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Windows","Linux","Phone"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"guizang-ppt-skill","name":"Guizang PPT Skill","repo":"op7418/guizang-ppt-skill","githubUrl":"https://github.com/op7418/guizang-ppt-skill","homepage":null,"pageUrl":"/repo/guizang-ppt-skill","category":"Add-ons for AI coding tools","tagline":"Lets an AI assistant turn an article or notes into a polished slide deck that opens in your browser.","whatItDoes":["This is a skill, an instruction pack for AI assistants such as Claude Code or Codex. You give the assistant an article or notes, and it makes a presentation as a single web page that you flip through left and right.","It has two built-in looks: a magazine style for storytelling and a Swiss grid style for facts and analysis. It can also make matching images and cover pictures for social media.","The finished deck includes a presenter mode with speaker notes, timers and a laser pointer. The main README is in Chinese, with an English version available."],"whoFor":"People who give talks or presentations and already use an AI coding assistant.","useWithoutCoding":"With some setup","keywords":["presentation","slides","powerpoint","slide deck","ppt"],"rating":2,"tags":["Fast-rising"],"owner":{"name":"歸藏","githubUrl":"https://github.com/op7418"},"license":"AGPL-3.0","stars":28188,"contributors":4,"monthlyDownloads":null,"lastPushedAt":"2026-08-07T03:58:08Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Ask an AI agent with file access, such as Claude Code or Codex, to install the skill.","Ask the agent to turn an article or notes into a slide deck in one of the two styles.","Open the finished single HTML file in your browser to present it."],"officialDownload":null},{"slug":"ralph-claude-code","name":"Ralph for Claude Code","repo":"frankbria/ralph-claude-code","githubUrl":"https://github.com/frankbria/ralph-claude-code","homepage":null,"pageUrl":"/repo/ralph-claude-code","category":"Add-ons for AI coding tools","tagline":"Keeps the Claude Code assistant working on your project in a loop until the job is done, with safety stops.","whatItDoes":["Ralph runs Claude Code, Anthropic's AI coding assistant, over and over so it keeps improving a project on its own. It is based on a technique named by developer Geoffrey Huntley.","It includes safeguards to stop the loop when work is finished, when it gets stuck or when it hits usage limits. It limits how many requests it makes per hour.","Other features include live progress views, desktop notifications, backup branches you can roll back to and importing tasks from GitHub issues."],"whoFor":"Programmers who use Claude Code and want it to work through bigger tasks with less supervision.","useWithoutCoding":"Developers only","keywords":["claude code","autonomous coding","ai loop","automation"],"rating":2,"tags":["New this week"],"owner":{"name":"Frank Bria","githubUrl":"https://github.com/frankbria"},"license":"MIT","stars":9706,"contributors":31,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T02:33:48Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install Claude Code first.","Download Ralph and run its install script once to add its commands to your computer.","In your project folder, run its setup wizard, then start the loop."],"officialDownload":null},{"slug":"removewindowsai","name":"Remove Windows AI","repo":"zoicware/RemoveWindowsAI","githubUrl":"https://github.com/zoicware/RemoveWindowsAI","homepage":null,"pageUrl":"/repo/removewindowsai","category":"Everyday tools","tagline":"A script that turns off or removes Copilot, Recall and other built-in AI features in Windows 11.","whatItDoes":["Windows 11 includes AI features such as Copilot and Recall. This script aims to switch them off or remove them; its makers say the goal is better privacy, security and user experience.","It makes deep changes to Windows and can bring back classic versions of apps like Notepad and Paint. The makers suggest testing it in a virtual machine first and offer backup and revert modes."],"whoFor":"Windows 11 users who don't want the built-in AI features.","useWithoutCoding":"With some setup","keywords":["remove copilot","disable recall","windows privacy","turn off ai"],"rating":2,"tags":["New this week"],"owner":{"name":"zoicware","githubUrl":"https://github.com/zoicware"},"license":"MIT","stars":13390,"contributors":6,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T16:12:49Z","sources":[{"site":"Hacker News","title":"RemoveWindowsAI","url":"https://news.ycombinator.com/item?id=46259095","date":"2025-12-13"}],"checkedByPerson":false,"cost":"Free","runsOn":["Windows"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Paste the launch line from the README and choose which AI features to remove in the menu.","Consider trying it in a virtual machine first, as the makers suggest."],"officialDownload":null},{"slug":"concat","name":"Concat","repo":"jub0t/Concat","githubUrl":"https://github.com/jub0t/Concat","homepage":"https://concat.standalones.org/","pageUrl":"/repo/concat","category":"Images & video","tagline":"A free video editor with built-in AI captions, voices and background removal that runs on your own device.","whatItDoes":["Concat is a video editor in the style of CapCut, made for things like TikToks, Reels, YouTube videos and podcast clips. It has the usual editing tools: cutting, multiple tracks, titles, effects, transitions and export up to 4K.","It adds AI features: automatic captions, text-to-speech voices (including copying a voice from a short recording), background removal, and one-switch voice cleanup. The AI models download once from the settings and then work offline.","Its makers say everything runs locally, there are no watermarks or accounts, and your footage never leaves your disk. AI agents can also edit videos with it through a built-in connector. It is in beta."],"whoFor":"Creators and anyone who edits short videos and wants a free, private alternative to online editors.","useWithoutCoding":"Yes","keywords":["video editor","capcut alternative","auto captions","remove background","shorts"],"rating":2,"tags":["New this week"],"owner":{"name":"Jareer A.","githubUrl":"https://github.com/jub0t"},"license":"AGPL-3.0","stars":9046,"contributors":34,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:28:43Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Phone"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Download the version for your computer or phone from the project's website or its releases page.","The README notes the builds aren't code-signed yet, so your computer may show a warning the first time you open it."],"officialDownload":"https://github.com/jub0t/Concat/releases"},{"slug":"speech-to-speech","name":"Speech To Speech","repo":"huggingface/speech-to-speech","githubUrl":"https://github.com/huggingface/speech-to-speech","homepage":null,"pageUrl":"/repo/speech-to-speech","category":"Speech & audio","tagline":"A voice assistant you talk to out loud, built from open models that run on your own computer.","whatItDoes":["Speech To Speech is a voice assistant made from open AI models. You speak, pause, and it answers through your speakers. It listens for when you talk, writes down what you said, thinks of a reply and then speaks it.","The README says it runs entirely on your computer, with no API key or cloud service needed. The models download on first use, and after that it can work offline. Each part can be swapped for a different model, including hosted ones.","Developers can also connect their own apps to it, because it speaks the same language as OpenAI's Realtime voice service."],"whoFor":"Developers and tinkerers building voice assistants, robots or talking characters, and anyone curious about private voice AI.","useWithoutCoding":"With some setup","keywords":["voice assistant","talk to ai","speech","offline","private"],"rating":2,"tags":["New this week"],"owner":{"name":"Hugging Face","githubUrl":"https://github.com/huggingface"},"license":"Apache-2.0","stars":13501,"contributors":71,"monthlyDownloads":2270,"lastPushedAt":"2026-10-16T23:14:14Z","sources":[{"site":"Hacker News","title":"Hugging Face tackles speech-to-speech","url":"https://news.ycombinator.com/item?id=41432525","date":"2024-09-03"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install Python on your computer, then install Speech To Speech with Python's package installer.","Start it in local mode and wait a few minutes while the models download the first time."],"officialDownload":null},{"slug":"river","name":"River","repo":"online-ml/river","githubUrl":"https://github.com/online-ml/river","homepage":"https://riverml.xyz/","pageUrl":"/repo/river","category":"Developer building blocks","tagline":"A Python library for machine learning on live, streaming data that learns one example at a time.","whatItDoes":["Most machine learning trains a model on a fixed dataset all at once. River does \"online\" learning instead: the model updates itself with each new piece of data as it arrives, which suits live data streams.","It includes many standard methods, such as linear models, decision trees, nearest-neighbour methods, anomaly detection, drift detection (noticing when data patterns change) and recommendation systems."],"whoFor":"Data scientists and developers working with real-time or streaming data.","useWithoutCoding":"Developers only","keywords":["online learning","streaming data","machine learning","python","real-time"],"rating":2,"tags":["New this week"],"owner":{"name":"The Fellowship of Online Machine Learning","githubUrl":"https://github.com/online-ml"},"license":"BSD-3-Clause","stars":6130,"contributors":156,"monthlyDownloads":159209,"lastPushedAt":"2026-10-16T03:59:39Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"agent-governance-toolkit","name":"Agent Governance Toolkit","repo":"microsoft/agent-governance-toolkit","githubUrl":"https://github.com/microsoft/agent-governance-toolkit","homepage":null,"pageUrl":"/repo/agent-governance-toolkit","category":"Developer building blocks","tagline":"Microsoft's toolkit for setting firm rules on what AI agents may do, and recording what they did.","whatItDoes":["AI agents can send emails, query databases and call other tools on their own. This toolkit from Microsoft checks each action in ordinary code before it happens, so actions that break the rules are blocked, rather than relying on the AI to behave.","It also gives each agent its own identity, runs agents in sandboxes and keeps tamper-evident records for audits. The README says it works with any agent framework and is currently a public preview."],"whoFor":"Teams putting AI agents into real use who need control, accountability and compliance.","useWithoutCoding":"Developers only","keywords":["ai agent safety","governance","policy","compliance","audit log"],"rating":2,"tags":["New this week"],"owner":{"name":"Microsoft","githubUrl":"https://github.com/microsoft"},"license":"MIT","stars":6440,"contributors":168,"monthlyDownloads":125645,"lastPushedAt":"2026-10-18T19:31:27Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"ai-papers-of-the-week","name":"AI Papers of the Week","repo":"dair-ai/AI-Papers-of-the-Week","githubUrl":"https://github.com/dair-ai/AI-Papers-of-the-Week","homepage":null,"pageUrl":"/repo/ai-papers-of-the-week","category":"Learning resources","tagline":"A weekly list of notable AI research papers, picked by the DAIR.AI team.","whatItDoes":["This project is a running list of research papers about AI. Each week, the DAIR.AI team picks the papers it found most worth reading and adds them to the list.","The lists are grouped by year and week, so you can scroll back through earlier picks. There is also a newsletter that sends the weekly list by email."],"whoFor":"Anyone who wants an easy way to keep up with new AI research without searching for papers themselves.","useWithoutCoding":"Yes","keywords":["ai research","papers","reading list","machine learning news","newsletter"],"rating":2,"tags":["New this week"],"owner":{"name":"DAIR.AI","githubUrl":"https://github.com/dair-ai"},"license":null,"stars":13283,"contributors":9,"monthlyDownloads":null,"lastPushedAt":"2026-10-12T15:00:40Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the project page on GitHub and pick a week from the list.","Follow the links to read the papers that interest you."],"officialDownload":null},{"slug":"presenton","name":"Presenton","repo":"presenton/presenton","githubUrl":"https://github.com/presenton/presenton","homepage":"https://presenton.ai/","pageUrl":"/repo/presenton","category":"Everyday tools","tagline":"Creates editable slide presentations from a prompt or a document, using the AI model you choose.","whatItDoes":["Presenton makes presentations with AI. You describe what you need, upload a document or start from your own PowerPoint design, and it builds a slide deck. You can then edit the slides by hand and export them as an editable PowerPoint file or a PDF.","It comes with templates for pitch decks, reports and lessons. You can connect it to many AI services with your own key, sign in with a ChatGPT account, or use local models through Ollama for privacy.","There is a desktop app for Mac, Windows and Linux, a self-hosted web version using Docker, and an API (a doorway that lets other programs request presentations)."],"whoFor":"Anyone who makes slide decks, from students to business teams, who wants an open alternative to online presentation tools.","useWithoutCoding":"Yes","keywords":["presentation","slides","powerpoint","pitch deck","gamma alternative"],"rating":2,"tags":["New this week"],"owner":{"name":"Presenton","githubUrl":"https://github.com/presenton"},"license":"Apache-2.0","stars":11198,"contributors":25,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T13:12:18Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the Presenton desktop app for your computer from the project's website.","Choose an AI provider: add an API key, sign in with ChatGPT, or connect a local model.","Type a topic or upload a document and let it build your slides, then edit and export them."],"officialDownload":null},{"slug":"soup","name":"Soup","repo":"MakazhanAlpamys/Soup","githubUrl":"https://github.com/MakazhanAlpamys/Soup","homepage":"https://trysoup.dev/","pageUrl":"/repo/soup","category":"Training & fine-tuning","tagline":"Fine-tune AI language models from one settings file and one command, even on modest graphics cards.","whatItDoes":["Soup is a tool for fine-tuning, which means teaching an existing AI language model new skills using your own examples. You write one simple settings file and run one command.","It tries to handle the fiddly parts automatically, such as batch size, graphics card detection and compression. Its makers say an optional, still-experimental feature can fine-tune fairly large models on a laptop graphics card with only 4 GB of memory.","It works locally on your own graphics card, with no cloud required, and also has a web interface."],"whoFor":"Developers and hobbyists who want to customise open AI models on their own hardware.","useWithoutCoding":"Developers only","keywords":["fine-tune llm","train ai model","lora","local ai","low vram"],"rating":2,"tags":["New this week"],"owner":{"name":"Alpamys Makazhan","githubUrl":"https://github.com/MakazhanAlpamys"},"license":"Apache-2.0","stars":9353,"contributors":114,"monthlyDownloads":5483,"lastPushedAt":"2026-10-18T19:31:49Z","sources":[{"site":"Hacker News","title":"Show HN: Fine-tune an 8B model on a 4 GB laptop GPU","url":"https://news.ycombinator.com/item?id=49166984","date":"2026-08-04"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"code2prompt","name":"Code2Prompt","repo":"mufeedvh/code2prompt","githubUrl":"https://github.com/mufeedvh/code2prompt","homepage":"https://code2prompt.dev/","pageUrl":"/repo/code2prompt","category":"Add-ons for AI coding tools","tagline":"Packs a whole code project into one neat prompt you can give to an AI chatbot.","whatItDoes":["Code2Prompt reads a software project and turns it into a single, well-organised piece of text that you can paste into an AI like ChatGPT or Claude.","It shows the folder layout, lets you include or leave out files, follows the project's ignore rules, counts tokens (the units AI models measure text in) and lets you shape the output with templates.","It comes as a command-line tool with an interactive mode, a Python library, an MCP server for AI agents, and a skill for coding agents."],"whoFor":"Programmers who share code with AI chatbots or build AI coding tools.","useWithoutCoding":"Developers only","keywords":["prompt","codebase","chatgpt","context","developer tool"],"rating":2,"tags":["New this week"],"owner":{"name":"Mufeed VH","githubUrl":"https://github.com/mufeedvh"},"license":"MIT","stars":7723,"contributors":41,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T18:22:58Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":"https://github.com/mufeedvh/code2prompt/releases"},{"slug":"mission-control","name":"Mission Control","repo":"builderz-labs/mission-control","githubUrl":"https://github.com/builderz-labs/mission-control","homepage":"https://mc.builderz.dev/","pageUrl":"/repo/mission-control","category":"AI agents","tagline":"A self-hosted dashboard for assigning tasks to AI agents, reviewing their work and tracking spending.","whatItDoes":["Mission Control sits above AI agent tools such as OpenClaw, Claude Code and Codex. From one local dashboard you can hand out tasks, watch runs, review failures, check token use and costs, and approve work.","It also keeps a memory browser, a skills registry, roles and audit records. It runs on your own computer or server and stores its data locally.","The README says it is early, alpha software and advises reading its security guidance before putting it on a network."],"whoFor":"Developers and teams running several AI agents who need oversight of what they do.","useWithoutCoding":"With some setup","keywords":["ai agent dashboard","agent management","claude code","self-hosted","cost tracking"],"rating":2,"tags":["New this week"],"owner":{"name":"Builderz.dev","githubUrl":"https://github.com/builderz-labs"},"license":"MIT","stars":6365,"contributors":53,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:32:40Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install it with the project's install script or with Docker, following the README.","Open the setup page in your web browser and create the first admin account.","Connect your agent tools and start assigning tasks."],"officialDownload":null},{"slug":"garden-skills","name":"Garden Skills","repo":"ConardLi/garden-skills","githubUrl":"https://github.com/ConardLi/garden-skills","homepage":"https://github.com/ConardLi/garden-skills","pageUrl":"/repo/garden-skills","category":"Add-ons for AI coding tools","tagline":"A set of ready-made skills that teach AI coding assistants to design web pages, make videos and more.","whatItDoes":["Garden Skills is a collection of \"skills\": packaged instructions that AI coding assistants such as Claude Code, Cursor and Codex can load to get better at a specific job.","The skills cover things like building polished web pages, turning articles into click-through video presentations, writing prompts for image generation, turning any source into a well-designed article, making short code-rendered videos, and searching a local knowledge base.","Each skill comes with its own guide, and the web design and presentation skills include many built-in visual themes."],"whoFor":"People who already use an AI coding assistant and want it to produce more polished designs, slides or videos.","useWithoutCoding":"With some setup","keywords":["claude skills","web design ai","presentation maker","ai coding add-ons"],"rating":2,"tags":["New this week"],"owner":{"name":"ConardLi","githubUrl":"https://github.com/ConardLi"},"license":"MIT","stars":12986,"contributors":3,"monthlyDownloads":null,"lastPushedAt":"2026-10-11T02:28:13Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Set up an AI coding assistant such as Claude Code, Cursor or Codex.","Add the skills using one of the README's options, such as the Claude Code plugin marketplace or a zip file from the project's releases page."],"officialDownload":"https://github.com/ConardLi/garden-skills/releases"},{"slug":"ghidra-mcp","name":"Ghidra MCP Server","repo":"bethington/ghidra-mcp","githubUrl":"https://github.com/bethington/ghidra-mcp","homepage":null,"pageUrl":"/repo/ghidra-mcp","category":"Add-ons for AI coding tools","tagline":"Connects AI assistants to Ghidra so they can help take apart and analyse compiled software.","whatItDoes":["Ghidra is a free reverse-engineering tool: it helps people look inside finished programs to understand how they work. This project links Ghidra to AI tools through MCP (Model Context Protocol), giving the AI hundreds of analysis tools.","It includes a plugin for Ghidra's window, a version that runs without a screen, batch operations, and support for shared Ghidra servers and Docker.","Reverse engineering is commonly used in security research."],"whoFor":"Security researchers and software analysts who use Ghidra and want AI help.","useWithoutCoding":"With some setup","keywords":["reverse engineering","ghidra","binary analysis","mcp server"],"rating":2,"tags":["New this week"],"owner":{"name":"Benjamin Ethington","githubUrl":"https://github.com/bethington"},"license":"Apache-2.0","stars":5773,"contributors":60,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T01:17:04Z","sources":[{"site":"Hacker News","title":"Show HN: Ghidra MCP Server – 110 tools for AI-assisted reverse engineering","url":"https://news.ycombinator.com/item?id=46882389","date":"2026-02-04"}],"checkedByPerson":true,"cost":"Free, but needs an AI account","runsOn":["Windows","Linux"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Install Ghidra, Java and the uv tool.","Download the extension and bridge from the project's releases page, then add the extension in Ghidra.","Point your AI app's MCP settings at the bridge."],"officialDownload":"https://github.com/bethington/ghidra-mcp/releases"},{"slug":"zenml","name":"ZenML","repo":"zenml-io/zenml","githubUrl":"https://github.com/zenml-io/zenml","homepage":"https://zenml.io/","pageUrl":"/repo/zenml","category":"Running AI at scale","tagline":"A platform for running and tracking machine learning and AI agent workflows reliably in companies.","whatItDoes":["ZenML lets engineers write AI workflows, called pipelines, in Python and run them on many kinds of computing setups. A pipeline might train a model or run an AI agent.","It packages and tracks the code, records each run with metrics and logs, and hides much of the infrastructure work. It connects with many popular tools.","There is a web dashboard, and a paid ZenML Pro version."],"whoFor":"Machine learning and AI engineers working in companies.","useWithoutCoding":"Developers only","keywords":["mlops","pipelines","ai workflows","experiment tracking"],"rating":2,"tags":["New this week"],"owner":{"name":"ZenML","githubUrl":"https://github.com/zenml-io"},"license":"Apache-2.0","stars":5620,"contributors":145,"monthlyDownloads":199498,"lastPushedAt":"2026-10-16T14:56:28Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"sqlbot","name":"SQLBot","repo":"dataease/SQLBot","githubUrl":"https://github.com/dataease/SQLBot","homepage":"https://sqlbot.org/","pageUrl":"/repo/sqlbot","category":"Documents & knowledge","tagline":"Ask questions about your company's data in plain language and get answers and charts back.","whatItDoes":["SQLBot lets people ask questions about data stored in databases by chatting, instead of writing database queries. It uses an AI model to turn the question into SQL, the language databases understand, then shows the answer and charts.","It uses RAG, a way of giving the AI relevant background such as your own terms and example queries, so its answers fit your business. Its makers say it improves the more it is used.","It includes workspaces and detailed permissions to control who sees what, and can be embedded in other tools. The README is mainly in Chinese."],"whoFor":"Businesses and analysts who want staff to explore data without knowing SQL.","useWithoutCoding":"With some setup","keywords":["ask data questions","text to sql","business intelligence","data analysis","charts"],"rating":2,"tags":["New this week"],"owner":{"name":"DataEase","githubUrl":"https://github.com/dataease"},"license":"NOASSERTION","stars":6924,"contributors":46,"monthlyDownloads":null,"lastPushedAt":"2026-10-12T03:17:30Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Server","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Prepare a Linux server with Docker installed.","Start SQLBot with the one-line Docker command in the README.","Open it in your browser, sign in with the default admin account, and connect an AI model and your data source."],"officialDownload":null},{"slug":"entire-cli","name":"Entire CLI","repo":"entireio/cli","githubUrl":"https://github.com/entireio/cli","homepage":"https://entire.io/","pageUrl":"/repo/entire-cli","category":"Add-ons for AI coding tools","tagline":"Saves a searchable record of your AI coding sessions alongside your code's history.","whatItDoes":["Entire hooks into Git, the tool programmers use to track code changes. While you work with an AI coding agent, it captures the conversation, prompts, files touched and tool use, and links them to each saved change.","Later you can see why code changed, not just what changed, and pick up an earlier agent session from a checkpoint. The records are kept outside your main code history so it stays clean.","It works with agents such as Claude Code, Codex and Cursor."],"whoFor":"Developers and teams who use AI coding agents and want a traceable record of how code was written.","useWithoutCoding":"Developers only","keywords":["ai coding history","git","claude code","session record","audit trail"],"rating":2,"tags":["New this week"],"owner":{"name":"Entire","githubUrl":"https://github.com/entireio"},"license":"MIT","stars":5188,"contributors":68,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T09:45:20Z","sources":[{"site":"Hacker News","title":"Ex-GitHub CEO launches a new developer platform for AI agents","url":"https://news.ycombinator.com/item?id=46961345","date":"2026-02-10"},{"site":"Hacker News","title":"How version control will evolve for the agent boom","url":"https://news.ycombinator.com/item?id=48844709","date":"2026-07-09"}],"checkedByPerson":false,"cost":null,"runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"koharu","name":"Koharu","repo":"koharu-rs/koharu","githubUrl":"https://github.com/koharu-rs/koharu","homepage":"https://koharu.rs/","pageUrl":"/repo/koharu","category":"Everyday tools","tagline":"A desktop app that translates manga pages with AI, cleaning up and replacing the original text.","whatItDoes":["Koharu is an app for translating manga. It finds speech bubbles and text on each page, reads the text, translates it, paints over the original and places the translation back in.","You can proofread results, fix things by hand on a canvas, handle vertical and right-to-left text, and export layered files for further editing.","Its makers say it runs its vision and language models on your own computer to keep data private, though hosted AI providers can also be used. A graphics card makes it much faster."],"whoFor":"Manga readers, fan translators and anyone translating comics.","useWithoutCoding":"Yes","keywords":["manga translation","comic translator","translate images","japanese","ocr"],"rating":2,"tags":["New this week"],"owner":{"name":"Koharu","githubUrl":"https://github.com/koharu-rs"},"license":"Apache-2.0","stars":6392,"contributors":51,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T20:32:57Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download Koharu for your computer from the project's GitHub releases page.","Open a manga image, archive or PDF as a new project.","Run detection, text reading and translation, then check and adjust the results."],"officialDownload":"https://github.com/koharu-rs/koharu/releases/latest"},{"slug":"vercel-chatbot","name":"Chatbot","repo":"vercel/chatbot","githubUrl":"https://github.com/vercel/chatbot","homepage":"https://chatbot.ai-sdk.dev/","pageUrl":"/repo/vercel-chatbot","category":"Developer building blocks","tagline":"A ready-made starting point for developers who want to build their own ChatGPT-style chat app.","whatItDoes":["Chatbot is a free template from Vercel for building AI chat apps. It gives developers a working chat app they can change, rather than starting from nothing.","It includes chat history saved in a database, file storage, user sign-in and a polished interface. It connects to AI models from OpenAI, DeepSeek, Mistral, xAI and others through Vercel's AI Gateway, and can be switched to other providers with small code changes.","It can be deployed to Vercel's hosting with one click, or run on your own computer."],"whoFor":"Web developers who want to launch a custom AI chatbot quickly.","useWithoutCoding":"Developers only","keywords":["chatbot template","chat app","nextjs","build chatbot","ai sdk"],"rating":2,"tags":[],"owner":{"name":"Vercel","githubUrl":"https://github.com/vercel"},"license":"NOASSERTION","stars":20995,"contributors":75,"monthlyDownloads":null,"lastPushedAt":"2026-07-08T21:55:02Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Cloud"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"plano","name":"Plano","repo":"katanemo/plano","githubUrl":"https://github.com/katanemo/plano","homepage":"https://planoai.dev/","pageUrl":"/repo/plano","category":"Running AI at scale","tagline":"Behind-the-scenes software that routes, watches and protects traffic between AI agents and models.","whatItDoes":["Plano is a proxy server, a middle layer that sits between your app, its AI agents and the AI models they use. It handles the plumbing so developers don't have to build it into every app.","It decides which agent or model should handle each request, records detailed traces of what happened, and can add safety filters such as jailbreak protection and moderation.","Its makers say it uses small, purpose-built AI models for routing, and that these are hosted free in one US region for first-time trials."],"whoFor":"Developers putting AI agent apps into production.","useWithoutCoding":"Developers only","keywords":["ai gateway","llm router","ai agents","observability"],"rating":2,"tags":["New this week"],"owner":{"name":"Katanemo","githubUrl":"https://github.com/katanemo"},"license":"Apache-2.0","stars":7092,"contributors":44,"monthlyDownloads":null,"lastPushedAt":"2026-10-07T16:45:52Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Server","Cloud"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"ian-xiaohei-illustrations","name":"Ian Xiaohei Illustrations","repo":"helloianneo/ian-xiaohei-illustrations","githubUrl":"https://github.com/helloianneo/ian-xiaohei-illustrations","homepage":"https://www.ianneo.xyz/","pageUrl":"/repo/ian-xiaohei-illustrations","category":"Add-ons for AI coding tools","tagline":"A skill that helps the Codex AI agent draw hand-drawn style pictures for Chinese articles.","whatItDoes":["This is a skill for Codex, an AI agent. A skill is a set of instructions the agent follows. It guides the agent to make illustrations for Chinese articles, blog posts and notes.","The pictures follow one style: wide images on a white background, hand-drawn black lines, a few red, orange and blue Chinese notes, and a small black character called Xiaohei who acts out the main idea.","It first suggests a list of 4 to 8 pictures for an article, then makes each one with an image model and saves them as image files."],"whoFor":"Chinese-language writers and content creators who use Codex and want a consistent illustration style.","useWithoutCoding":"With some setup","keywords":["illustrations","article pictures","hand drawn","chinese","codex skill"],"rating":2,"tags":["New this week"],"owner":{"name":"ian","githubUrl":"https://github.com/helloianneo"},"license":"MIT","stars":12664,"contributors":3,"monthlyDownloads":null,"lastPushedAt":"2026-09-24T22:14:01Z","sources":[{"site":"Hacker News","title":"A hand-drawn illustration skill for any articles","url":"https://news.ycombinator.com/item?id=49182451","date":"2026-08-05"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Download the project and copy the skill folder into Codex's skills folder.","In Codex, ask it to use the skill to plan or create pictures for your article."],"officialDownload":null},{"slug":"text-embeddings-inference","name":"Text Embeddings Inference","repo":"huggingface/text-embeddings-inference","githubUrl":"https://github.com/huggingface/text-embeddings-inference","homepage":"https://huggingface.co/docs/text-embeddings-inference/quick_tour","pageUrl":"/repo/text-embeddings-inference","category":"Running AI at scale","tagline":"Serves text embedding models quickly, so apps can search and compare text by meaning.","whatItDoes":["Text Embeddings Inference (TEI), from Hugging Face, is software for running embedding models as a service. Embeddings turn text into lists of numbers that capture meaning, which powers search by meaning and document question-answering.","It supports many popular open models, plus re-ranking models that sort search results and classification models. Its makers say it starts fast, uses small Docker images and groups requests for speed.","It runs on graphics cards, on regular processors and on Macs, and can work without an internet connection."],"whoFor":"Engineers running search, RAG or other embedding-based features in production.","useWithoutCoding":"Developers only","keywords":["embeddings","semantic search","model serving","hugging face","rag"],"rating":2,"tags":["New this week"],"owner":{"name":"Hugging Face","githubUrl":"https://github.com/huggingface"},"license":"Apache-2.0","stars":5083,"contributors":69,"monthlyDownloads":null,"lastPushedAt":"2026-10-13T14:33:07Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Server","Linux","Mac"],"hardware":"Made for servers or data centres","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"stabilitymatrix","name":"Stability Matrix","repo":"LykosAI/StabilityMatrix","githubUrl":"https://github.com/LykosAI/StabilityMatrix","homepage":"https://lykos.ai/","pageUrl":"/repo/stabilitymatrix","category":"Images & video","tagline":"A desktop app that installs, updates and runs popular AI image-making tools for you with one click.","whatItDoes":["Stability Matrix is a manager for Stable Diffusion, a family of AI image generators. Instead of setting up tools like ComfyUI, Automatic1111, Fooocus or InvokeAI by hand, you install and update them from one app.","It keeps one shared folder of models for all of them and has a built-in browser for downloading models from CivitAI and Hugging Face. It also has its own image-making screen, called Inference.","It brings its own copies of Git and Python, so you don't need to install them yourself."],"whoFor":"Anyone who wants to try AI image generation on their own computer without fiddly setup.","useWithoutCoding":"Yes","keywords":["stable diffusion","ai art","image generator","comfyui","installer"],"rating":2,"tags":["New this week"],"owner":{"name":"Lykos AI","githubUrl":"https://github.com/LykosAI"},"license":"AGPL-3.0","stars":8920,"contributors":32,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T09:38:26Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Mac","Linux"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Download the app for your computer from the project's releases page.","Open it and pick an image tool to install with one click.","Download a model in the built-in model browser and start making images."],"officialDownload":"https://github.com/LykosAI/StabilityMatrix/releases/latest"},{"slug":"xtuner","name":"XTuner","repo":"InternLM/xtuner","githubUrl":"https://github.com/InternLM/xtuner","homepage":"https://xtuner.readthedocs.io/zh-cn/latest/","pageUrl":"/repo/xtuner","category":"Training & fine-tuning","tagline":"A training engine for very large AI models built from many expert parts, aimed at big computing clusters.","whatItDoes":["XTuner is software for training large language models, especially \"mixture of experts\" (MoE) models, which are built from many specialised sub-networks. Version 1 is designed for training extremely large models.","Its makers say it can train models with hundreds of billions of parameters more simply and efficiently than traditional methods, handles long texts, and is optimised for both NVIDIA GPUs and Huawei Ascend chips.","It supports pre-training, fine-tuning with instructions, reinforcement learning, and training models that understand both images and text."],"whoFor":"AI research labs and engineering teams training very large models on clusters of accelerators.","useWithoutCoding":"Developers only","keywords":["train llm","mixture of experts","fine-tuning","large scale training"],"rating":2,"tags":["New this week"],"owner":{"name":"InternLM","githubUrl":"https://github.com/InternLM"},"license":"Apache-2.0","stars":5212,"contributors":66,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T09:18:15Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Server"],"hardware":"Made for servers or data centres","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"artemis","name":"ARTEMIS","repo":"google/artemis","githubUrl":"https://github.com/google/artemis","homepage":null,"pageUrl":"/repo/artemis","category":"AI agents","tagline":"Lets AI use a real Android phone like a person would, following plain-language instructions.","whatItDoes":["ARTEMIS turns plain-language instructions into actions on an Android phone or emulator (a phone simulated on your computer). For example, you can ask it to plan a route in a maps app and then play a song in another app.","It was built mainly for app testing. It can run test steps, record logs and screenshots, and write reports. AI coding tools such as Claude Code, Cursor or Codex can control the phone through it.","A local web page shows the phone's screen live, lets you try instructions and replays past runs."],"whoFor":"App developers and testers who want to automate testing on Android phones.","useWithoutCoding":"With some setup","keywords":["android","phone automation","app testing","ai agent"],"rating":2,"tags":["New this week"],"owner":{"name":"Google","githubUrl":"https://github.com/google"},"license":"Apache-2.0","stars":12461,"contributors":8,"monthlyDownloads":null,"lastPushedAt":"2026-10-01T21:37:15Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Connect an Android phone with USB debugging turned on, or start an Android emulator.","Download the project and run its start-up script, which installs the tools it needs.","Use the local web page that opens to connect the phone and give it instructions."],"officialDownload":null},{"slug":"ruoyi-ai","name":"RuoYi AI","repo":"ageerle/ruoyi-ai","githubUrl":"https://github.com/ageerle/ruoyi-ai","homepage":"https://doc.ruoyiai.chat/","pageUrl":"/repo/ruoyi-ai","category":"App builders & workflows","tagline":"A full AI platform for businesses with chat, document knowledge bases, visual workflows and teams of agents.","whatItDoes":["RuoYi AI is a ready-made AI platform an organisation can host for itself. It includes a user site, an admin panel and a mobile mini-app.","It connects to models such as DeepSeek, Zhipu and OpenAI, and can build knowledge bases from PDF, Word and Excel files using RAG (where the AI looks up your documents before answering). A drag-and-drop designer lets you build workflows, and several AI agents can work together on a task.","It is built with Java and Vue, and a commercial edition is also offered. Much of the community and documentation is in Chinese."],"whoFor":"Companies and developers who want a self-hosted, all-in-one AI assistant platform.","useWithoutCoding":"With some setup","keywords":["ai platform","knowledge base","workflow builder","rag","self-hosted"],"rating":2,"tags":["New this week"],"owner":{"name":"ageerle","githubUrl":"https://github.com/ageerle"},"license":"MIT","stars":5757,"contributors":57,"monthlyDownloads":null,"lastPushedAt":"2026-10-12T19:08:37Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server"],"hardware":"Made for servers or data centres","privacy":null,"needsApiKey":true,"firstSteps":["Install Docker on a server.","Use the project's all-in-one Docker Compose file to start all its services.","Open the admin panel and user site in your browser."],"officialDownload":null},{"slug":"hunk","name":"Hunk","repo":"modem-dev/hunk","githubUrl":"https://github.com/modem-dev/hunk","homepage":"https://hunk.dev/","pageUrl":"/repo/hunk","category":"Add-ons for AI coding tools","tagline":"A terminal tool for reviewing code changes, with AI agents' notes shown beside the code.","whatItDoes":["Hunk is a viewer for code changes (diffs) that runs in the terminal, the text window programmers type commands into. It shows changes across many files with a sidebar for moving between them.","It is built for people who review code written with AI agents: notes from AI tools can appear next to the lines they refer to. It can reload as files change and open GitHub pull requests directly."],"whoFor":"Programmers who review a lot of code changes, especially from AI coding agents.","useWithoutCoding":"Developers only","keywords":["code review","diff viewer","terminal","ai agents","git"],"rating":2,"tags":["New this week"],"owner":{"name":"Modem","githubUrl":"https://github.com/modem-dev"},"license":"MIT","stars":9632,"contributors":98,"monthlyDownloads":18854,"lastPushedAt":"2026-10-18T22:25:43Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"video-shotcraft","name":"video-shotcraft","repo":"Vincentwei1021/video-shotcraft","githubUrl":"https://github.com/Vincentwei1021/video-shotcraft","homepage":"https://vincentwei1021.github.io/video-shotcraft/","pageUrl":"/repo/video-shotcraft","category":"Add-ons for AI coding tools","tagline":"A skill that lets Claude Code or Codex make polished product promo videos from your own screenshots.","whatItDoes":["video-shotcraft is a skill (a set of instructions and tools) for the AI coding assistants Claude Code and Codex. You ask the assistant to make a promo for your product, and it captures your web pages, picks shots from a library of motion designs, plans the film, adds music and sound, and hands you an MP4 video.","Its maker stresses that it is not an AI video generator. Every frame is drawn by code from your own screenshots and text, using a video tool called Remotion, so the result stays sharp and can be edited.","After delivery, a browser-based editor lets you change text, colours, timing and shots before exporting again. It can also export to the JianYing (CapCut China) editor."],"whoFor":"Founders, marketers and developers who want product launch videos and already use Claude Code or Codex.","useWithoutCoding":"With some setup","keywords":["product video","promo video","launch video","motion graphics","claude code skill"],"rating":2,"tags":["New this week"],"owner":{"name":"Yihao","githubUrl":"https://github.com/Vincentwei1021"},"license":"Apache-2.0","stars":12396,"contributors":12,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T17:50:53Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Set up Claude Code or Codex on your computer, along with Node.js.","Ask your assistant to install this skill by giving it the project's GitHub link.","Tell the assistant to make a promo video for your product."],"officialDownload":null},{"slug":"cactus","name":"Cactus","repo":"cactus-compute/cactus","githubUrl":"https://github.com/cactus-compute/cactus","homepage":"https://cactuscompute.com/","pageUrl":"/repo/cactus","category":"Run AI on your computer","tagline":"An engine for running AI models directly on phones, wearables and other small devices.","whatItDoes":["Cactus lets app makers run AI on the device itself, such as a phone or smart watch, instead of sending everything to the cloud. It handles chat, speech-to-text, image understanding and search over documents.","It shrinks models so they fit and run fast on small chips. Its makers say it can hand difficult questions to a cloud model automatically when the local model is unsure, and this can be turned off.","Developers can use it from C, Python, Flutter and React Native, and there is a quick demo for Mac."],"whoFor":"Mobile and device developers who want AI to run on the device.","useWithoutCoding":"Developers only","keywords":["on-device ai","mobile ai","offline ai","phone ai"],"rating":2,"tags":["New this week"],"owner":{"name":"Cactus Compute, Inc.","githubUrl":"https://github.com/cactus-compute"},"license":"NOASSERTION","stars":6128,"contributors":52,"monthlyDownloads":null,"lastPushedAt":"2026-09-26T03:14:00Z","sources":[{"site":"Hacker News","title":"Show HN: Cactus – Ollama for Smartphones","url":"https://news.ycombinator.com/item?id=44524544","date":"2025-07-10"},{"site":"Hacker News","title":"Launch HN: Cactus (YC S25) – AI inference on smartphones","url":"https://news.ycombinator.com/item?id=45291024","date":"2025-09-18"}],"checkedByPerson":false,"cost":null,"runsOn":["Mac","Linux","Phone"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"gluonts","name":"GluonTS","repo":"awslabs/gluonts","githubUrl":"https://github.com/awslabs/gluonts","homepage":"https://ts.gluon.ai/","pageUrl":"/repo/gluonts","category":"Developer building blocks","tagline":"A Python toolkit from AWS for forecasting future values, like sales or demand, with deep learning.","whatItDoes":["GluonTS helps developers forecast time series: numbers measured over time, such as monthly sales, website visits or energy use. It focuses on deep-learning models and gives a range of likely outcomes, not just a single guess.","The README also points to Chronos, a related set of pretrained models that can forecast new data without being trained on it first."],"whoFor":"Data scientists and developers working on forecasting.","useWithoutCoding":"Developers only","keywords":["forecasting","time series","demand prediction","python","deep learning"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"Amazon Web Services - Labs","githubUrl":"https://github.com/awslabs"},"license":"Apache-2.0","stars":5249,"contributors":119,"monthlyDownloads":279728,"lastPushedAt":"2026-10-13T12:42:28Z","sources":[{"site":"Research paper","title":"GluonTS: Probabilistic Time Series Modeling in Python","url":"https://arxiv.org/abs/1906.05264","date":"2019-06-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"flowgram","name":"FlowGram","repo":"bytedance/flowgram.ai","githubUrl":"https://github.com/bytedance/flowgram.ai","homepage":"https://flowgram.ai/","pageUrl":"/repo/flowgram","category":"App builders & workflows","tagline":"A toolkit for developers to build their own drag-and-drop AI workflow editors.","whatItDoes":["FlowGram is a framework for building AI workflow tools, where users connect steps on a canvas like a flowchart. It is not a ready-made workflow app; it gives developers the pieces to make one.","It comes with a canvas, settings forms for each step, a way to track data passed between steps, and ready-made steps such as calling an AI model, making a decision or running code.","The demo shows a workflow that checks the weather in several cities, asks an AI for outfit ideas and picks the most comfortable city."],"whoFor":"Web developers building visual workflow or automation products.","useWithoutCoding":"Developers only","keywords":["workflow builder","flowchart","drag and drop","automation"],"rating":2,"tags":["New this week"],"owner":{"name":"Bytedance Inc.","githubUrl":"https://github.com/bytedance"},"license":"MIT","stars":8501,"contributors":33,"monthlyDownloads":null,"lastPushedAt":"2026-10-13T09:38:38Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"all-in-rag","name":"All-in-RAG","repo":"datawhalechina/all-in-rag","githubUrl":"https://github.com/datawhalechina/all-in-rag","homepage":"https://datawhalechina.github.io/all-in-rag/","pageUrl":"/repo/all-in-rag","category":"Learning resources","tagline":"A free, step-by-step course (in Chinese) on building AI apps that answer questions from your own documents.","whatItDoes":["All-in-RAG is a tutorial on RAG, short for retrieval-augmented generation. RAG is a way of letting an AI look things up in your own documents or data before it answers, so its answers are based on that material.","The course walks through each stage: loading and splitting documents, turning text into searchable form, storing it in a vector database (a database built for this kind of search), improving search results, and checking how well the system works. It ends with hands-on projects.","It is written mainly in Chinese, with an English README, and can be read online."],"whoFor":"Developers with basic Python skills who want to learn to build question-answering systems over their own data.","useWithoutCoding":"Developers only","keywords":["rag tutorial","learn rag","ai course","chat with documents","vector database"],"rating":2,"tags":["New this week"],"owner":{"name":"Datawhale","githubUrl":"https://github.com/datawhalechina"},"license":null,"stars":12259,"contributors":12,"monthlyDownloads":null,"lastPushedAt":"2026-09-30T21:49:22Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the online version of the course from the project page.","Start with chapter one, which explains what RAG is and how to set up your computer for the exercises."],"officialDownload":null},{"slug":"train-llm-from-scratch","name":"Train LLM From Scratch","repo":"FareedKhan-dev/train-llm-from-scratch","githubUrl":"https://github.com/FareedKhan-dev/train-llm-from-scratch","homepage":"https://fareedkhan-dev.github.io/train-llm-from-scratch/","pageUrl":"/repo/train-llm-from-scratch","category":"Training & fine-tuning","tagline":"A step-by-step guide and code for training your own small AI language model, from raw text to chat.","whatItDoes":["This project walks you through building a language model (the kind of AI behind chatbots) from the ground up, using the PyTorch toolkit. Every step is written out by hand, with plain explanations before each block of code.","It starts with turning text into numbers and training a basic model, then goes on to the steps that turn a raw model into a helpful assistant, such as fine-tuning and reward-based training.","The author says a small model can be trained on an ordinary laptop in minutes, while bigger models need a graphics card (GPU) or a free cloud notebook."],"whoFor":"Students, developers and researchers who want to understand how chatbot models are made by building one.","useWithoutCoding":"Developers only","keywords":["train your own ai","llm tutorial","how chatgpt works","pytorch"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"Fareed Khan","githubUrl":"https://github.com/FareedKhan-dev"},"license":"MIT","stars":12204,"contributors":14,"monthlyDownloads":null,"lastPushedAt":"2026-10-02T14:45:19Z","sources":[{"site":"Research paper","title":"Attention is All You Need","url":"https://arxiv.org/abs/1706.03762","date":"2017-06-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"yue","name":"YuE2","repo":"multimodal-art-projection/YuE","githubUrl":"https://github.com/multimodal-art-projection/YuE","homepage":"https://map-yue2.github.io/","pageUrl":"/repo/yue","category":"Speech & audio","tagline":"Turns your lyrics and a style description into a full song with vocals and backing music.","whatItDoes":["YuE2 is an AI model that writes songs. You give it lyrics and a style, such as \"jazz-funk with warm vocals\". It first writes a melody and chord plan, like simple sheet music, and then turns that plan into a finished song with singing and instruments.","Because the plan is written out, you or an AI assistant can read and change it before the song is made. It can also create a new version of an existing song in a different style. Its makers say its song quality is close to leading paid music generators."],"whoFor":"Musicians, hobbyists and researchers interested in AI music. Running it yourself needs a powerful graphics card.","useWithoutCoding":"Developers only","keywords":["ai music","song generator","lyrics to song","music generation","cover song"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"multimodal-art-projection","githubUrl":"https://github.com/multimodal-art-projection"},"license":"Apache-2.0","stars":12147,"contributors":13,"monthlyDownloads":null,"lastPushedAt":"2026-10-06T07:30:39Z","sources":[{"site":"Research paper","title":"YuE2 technical report","url":"https://arxiv.org/abs/2609.33757","date":"2026-09-01"},{"site":"Research paper","title":"SheetSage2 paper","url":"https://arxiv.org/abs/2610.05336","date":"2026-10-01"},{"site":"Hacker News","title":"YuE: Open Full-Song Generation Foundation Model","url":"https://news.ycombinator.com/item?id=42850514","date":"2025-01-28"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Check that you have a Linux computer with a powerful NVIDIA graphics card.","Install YuE2 with Python by following the quick start in the README.","Run the included example to create your first song, then try your own lyrics and style."],"officialDownload":null},{"slug":"memori","name":"Memori","repo":"MemoriLabs/Memori","githubUrl":"https://github.com/MemoriLabs/Memori","homepage":"https://memorilabs.ai/","pageUrl":"/repo/memori","category":"AI memory","tagline":"Gives AI apps a memory so they recall users' details and past actions across conversations.","whatItDoes":["Memori adds long-term memory to AI applications. A developer connects it to their AI model, and conversations and agent actions are saved and recalled automatically in the background. For example, the app can remember that a user's favourite colour is blue.","Its makers say it works with any AI model, data store or framework, and fits into systems a company already runs. It can be used through the Memori Cloud service or deployed in a company's own environment.","It comes as Python and TypeScript libraries."],"whoFor":"Developers building AI assistants and agents that need to remember users over time.","useWithoutCoding":"Developers only","keywords":["ai memory","chatbot memory","remember users","agents","personalization"],"rating":2,"tags":["Research-backed"],"owner":{"name":"Memori Labs","githubUrl":"https://github.com/MemoriLabs"},"license":"NOASSERTION","stars":17151,"contributors":43,"monthlyDownloads":16704,"lastPushedAt":"2026-10-03T01:33:14Z","sources":[{"site":"Research paper","title":"Memori research paper (benchmark)","url":"https://arxiv.org/abs/2603.19935","date":"2026-03-01"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"local-deep-research","name":"Local Deep Research","repo":"LearningCircuit/local-deep-research","githubUrl":"https://github.com/LearningCircuit/local-deep-research","homepage":null,"pageUrl":"/repo/local-deep-research","category":"AI agents","tagline":"A research assistant that searches the web and your documents, then writes reports with citations.","whatItDoes":["Local Deep Research is an AI assistant for in-depth research. You ask a question, and it searches many sources, reads what it finds, and writes up an answer with proper citations.","It can search the general web, research libraries like arXiv and PubMed, and your own private documents. You can also build your own searchable knowledge base. It works with local AI models through tools like Ollama, or with cloud AI services.","Its makers say everything can run on your own computer, with data stored encrypted. They also report strong results on question-answering tests using a model running on a single home graphics card."],"whoFor":"Students, researchers, journalists and curious people who want thorough, sourced answers while keeping their data private.","useWithoutCoding":"With some setup","keywords":["deep research","research assistant","private ai","citations","search"],"rating":2,"tags":["New this week"],"owner":{"name":"LearningCircuit","githubUrl":"https://github.com/LearningCircuit"},"license":"MIT","stars":9308,"contributors":98,"monthlyDownloads":3749,"lastPushedAt":"2026-10-19T01:10:43Z","sources":[{"site":"Hacker News","title":"Local Deep Research – ArXiv, wiki and other searches included","url":"https://news.ycombinator.com/item?id=43330164","date":"2025-03-11"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Docker on your computer.","Download the project's Docker Compose file and start it as the README shows.","After about 30 seconds, open its web page on your computer and ask a research question."],"officialDownload":null},{"slug":"imbalanced-learn","name":"imbalanced-learn","repo":"scikit-learn-contrib/imbalanced-learn","githubUrl":"https://github.com/scikit-learn-contrib/imbalanced-learn","homepage":"https://imbalanced-learn.org/","pageUrl":"/repo/imbalanced-learn","category":"Data science tools","tagline":"A Python library that helps machine learning models cope when one kind of example is much rarer than others.","whatItDoes":["In many datasets one group is rare, such as fraud cases among normal payments. Models trained on such data often ignore the rare group.","imbalanced-learn offers re-sampling techniques that rebalance the data, for example by adding or removing examples. It works alongside the popular scikit-learn library."],"whoFor":"Data scientists training models on lopsided data.","useWithoutCoding":"Developers only","keywords":["imbalanced data","machine learning","scikit-learn","data science","oversampling"],"rating":2,"tags":["Widely used","New this week"],"owner":{"name":"scikit-learn-contrib","githubUrl":"https://github.com/scikit-learn-contrib"},"license":"MIT","stars":7129,"contributors":90,"monthlyDownloads":5708559,"lastPushedAt":"2026-06-29T16:33:16Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"skill-seekers","name":"Skill Seekers","repo":"yusufkaraaslan/Skill_Seekers","githubUrl":"https://github.com/yusufkaraaslan/Skill_Seekers","homepage":"https://skillseekersweb.com/","pageUrl":"/repo/skill-seekers","category":"Add-ons for AI coding tools","tagline":"Turns documentation sites, code projects, PDFs and other sources into ready-to-use knowledge packs for AI assistants.","whatItDoes":["Skill Seekers takes information from many kinds of sources, including documentation websites, GitHub projects, PDFs, Word files, e-books, slides and videos, and turns it into organised \"skills\": packs of knowledge an AI assistant can load to become an expert on a topic.","You point it at a source, and it creates the skill and packages it for your chosen AI platform, such as Claude, Gemini or OpenAI. It can also scan a software project, work out which tools it uses, and build matching skills.","Its makers say it detects conflicts between different sources of information automatically."],"whoFor":"Developers and AI power users who want their AI assistant to know a specific tool, library or document set well.","useWithoutCoding":"With some setup","keywords":["ai skills","documentation","knowledge","claude","pdf"],"rating":2,"tags":[],"owner":{"name":"yusyus","githubUrl":"https://github.com/yusufkaraaslan"},"license":"MIT","stars":15177,"contributors":50,"monthlyDownloads":11480,"lastPushedAt":"2026-09-30T18:49:17Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Install Skill Seekers with Python's package installer.","Point it at a documentation site, code project or PDF to create a skill.","Package the result for your AI platform, such as Claude."],"officialDownload":null},{"slug":"kami","name":"Kami","repo":"tw93/Kami","githubUrl":"https://github.com/tw93/Kami","homepage":"https://kami.tw93.fun/","pageUrl":"/repo/kami","category":"Add-ons for AI coding tools","tagline":"Layout rules and templates that help AI assistants produce well-designed PDFs, images and slide decks.","whatItDoes":["Kami is a skill, a set of instructions and templates, for AI assistants such as Claude Code, Codex and Cursor. It teaches them how to lay out documents nicely when they export PDF, PNG images or editable PowerPoint files.","It comes with eight document templates, including a one-pager, resume, letter, portfolio, slides, report and changelog, plus a landing page. You ask in plain words, such as 'build me a resume', and the skill switches on by itself.","English and Chinese have the fullest support, with Japanese and Korean also covered. You can save your own brand settings so you don't repeat them each time."],"whoFor":"People who use AI assistants to write documents and want the results to look polished.","useWithoutCoding":"With some setup","keywords":["pdf templates","resume maker","slide deck","document design","claude skill"],"rating":2,"tags":["New this week"],"owner":{"name":"Tw93","githubUrl":"https://github.com/tw93"},"license":"MIT","stars":11995,"contributors":11,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T08:46:35Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["For Claude Desktop, download the kami.zip file from the project's releases page.","In Claude Desktop, open the skills settings and upload the file as a new skill.","Ask Claude for a document, such as a one-pager or resume."],"officialDownload":"https://github.com/tw93/kami/releases/latest"},{"slug":"pedalboard","name":"Pedalboard","repo":"spotify/pedalboard","githubUrl":"https://github.com/spotify/pedalboard","homepage":"https://spotify.github.io/pedalboard","pageUrl":"/repo/pedalboard","category":"Speech & audio","tagline":"Spotify's Python library for reading, writing and adding studio effects to audio files.","whatItDoes":["Pedalboard is a code library for working with sound. It can open and save common audio formats and apply effects such as reverb, compression, distortion, pitch shifting and filters. It can also load the VST3 and Audio Unit plug-ins musicians use in recording software.","It was built by Spotify's Audio Intelligence Lab. The README says Spotify uses it for data augmentation, making varied copies of audio to help train AI models, and that it works inside machine-learning data pipelines.","Its makers say it is much faster than several older Python audio tools."],"whoFor":"Developers, researchers and audio engineers who process sound in Python, including for AI training.","useWithoutCoding":"Developers only","keywords":["audio effects","python audio","vst plugins","sound processing"],"rating":2,"tags":["New this week"],"owner":{"name":"Spotify","githubUrl":"https://github.com/spotify"},"license":"GPL-3.0","stars":6366,"contributors":44,"monthlyDownloads":862063,"lastPushedAt":"2026-10-07T19:51:01Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"ifixai","name":"iFixAi","repo":"ifixai-ai/iFixAi","githubUrl":"https://github.com/ifixai-ai/iFixAi","homepage":"https://www.ifixai.ai/","pageUrl":"/repo/ifixai","category":"Running AI at scale","tagline":"Runs a quick audit to check whether an AI agent is doing the job it is supposed to do, safely.","whatItDoes":["iFixAi tests AI agents. Its makers say most testing tools focus on technical things like speed and resistance to tricks, and that iFixAi instead checks whether an agent is doing its intended job according to a business's goals and rules.","It runs a set of inspections against an AI model or your own agent, then produces a scorecard and reports, and other AI models can act as judges. Its makers say a run takes under two minutes. A separate tool looks for short chains of permitted actions that could still lead to a harmful result.","You can run it as a guided command-line wizard, as part of automated testing, or from inside an AI coding assistant such as Claude Code or Codex, which then explains the results. The README says it shows the cost before running anything that is billed."],"whoFor":"Teams building or deploying AI agents who need to check how they behave and what could go wrong.","useWithoutCoding":"Developers only","keywords":["ai audit","agent testing","ai safety","evaluation","risk"],"rating":2,"tags":["Fast-rising"],"owner":{"name":"ifixai.ai","githubUrl":"https://github.com/ifixai-ai"},"license":"Apache-2.0","stars":29582,"contributors":16,"monthlyDownloads":481,"lastPushedAt":"2026-10-16T04:33:05Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Install iFixAi with Python, or add its plugin to Claude Code or Codex.","Run the setup wizard to pick the AI provider, model and checks.","Run the audit and read the scorecard report it produces."],"officialDownload":null},{"slug":"civitai","name":"Civitai","repo":"civitai/civitai","githubUrl":"https://github.com/civitai/civitai","homepage":"https://civitai.com/","pageUrl":"/repo/civitai","category":"Images & video","tagline":"The code behind Civitai, a website where people share and discuss custom image-making AI models.","whatItDoes":["This repository holds the source code for Civitai, a platform where people share customised Stable Diffusion models. Stable Diffusion is a popular AI that makes images from text.","On the platform, people create an account, upload their models, browse what others have shared and leave comments and feedback.","The code here is for developers who want to run or contribute to the site; it is built with common web technologies."],"whoFor":"Web developers who want to contribute to or run a copy of the Civitai platform.","useWithoutCoding":"Developers only","keywords":["stable diffusion","ai models","model sharing","image generation"],"rating":2,"tags":["New this week"],"owner":{"name":"Civitai","githubUrl":"https://github.com/civitai"},"license":"Apache-2.0","stars":7277,"contributors":39,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:48:39Z","sources":[{"site":"Hacker News","title":"CivitAI Policy Update: Removal of Real-Person Likeness Content","url":"https://news.ycombinator.com/item?id=44069817","date":"2025-05-23"}],"checkedByPerson":false,"cost":null,"runsOn":["Server"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"sensevoice","name":"SenseVoice","repo":"QwenAudio/SenseVoice","githubUrl":"https://github.com/QwenAudio/SenseVoice","homepage":"https://huggingface.co/spaces/FunAudioLLM/SenseVoice","pageUrl":"/repo/sensevoice","category":"Speech & audio","tagline":"A speech model that writes out what was said and also detects the language, emotion and sounds like laughter.","whatItDoes":["SenseVoice is a speech AI model. The released version turns speech in Mandarin, Cantonese, English, Japanese and Korean into text and identifies which language is spoken.","It also tags emotions and common sounds such as music, applause, laughter, crying and coughing. Its makers say it is fast and compares well with Whisper on Chinese and Cantonese.","Developers can fine-tune it and run it as a service that other programs connect to."],"whoFor":"Developers building transcription or voice features, especially for Chinese and other Asian languages.","useWithoutCoding":"Developers only","keywords":["speech to text","transcription","chinese speech recognition","emotion detection","cantonese"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"QwenAudio","githubUrl":"https://github.com/QwenAudio"},"license":"MIT","stars":9531,"contributors":27,"monthlyDownloads":null,"lastPushedAt":"2026-09-30T10:22:01Z","sources":[{"site":"Research paper","title":"SenseVoice paper","url":"https://arxiv.org/abs/2407.04051","date":"2024-07-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Server"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"awesome-llm-resources","name":"awesome-LLM-resources","repo":"WangRongsheng/awesome-LLM-resources","githubUrl":"https://github.com/WangRongsheng/awesome-LLM-resources","homepage":null,"pageUrl":"/repo/awesome-llm-resources","category":"Learning resources","tagline":"A large, regularly updated list of tools, courses and papers about large language models, mostly in Chinese.","whatItDoes":["This is a curated list of links about large language models, the technology behind chatbots like ChatGPT. It covers data preparation, fine-tuning, running models, evaluation, agents, coding tools, images, video, speech and more.","It also lists books, courses, tutorials, papers and podcasts. The headings and notes are mostly in Chinese, with many linked projects described in English."],"whoFor":"Developers and learners who want a broad map of the language-model landscape and can read some Chinese.","useWithoutCoding":"Yes","keywords":["llm resources","ai tools list","chinese ai","llm courses","awesome list"],"rating":2,"tags":["New this week"],"owner":{"name":"WangRongsheng","githubUrl":"https://github.com/WangRongsheng"},"license":"Apache-2.0","stars":9026,"contributors":29,"monthlyDownloads":null,"lastPushedAt":"2026-10-07T12:48:31Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the project page and pick a topic from the table of contents.","Follow the links to the tools, courses or papers that interest you."],"officialDownload":null},{"slug":"serviette","name":"serviette","repo":"pathwaycom/serviette","githubUrl":"https://github.com/pathwaycom/serviette","homepage":"https://github.com/pathwaycom/serviette/blob/main/docs/README.md","pageUrl":"/repo/serviette","category":"Documents & knowledge","tagline":"Sets up a chat that answers questions from your documents, and stays current as the files change.","whatItDoes":["serviette builds a question-answering assistant over a folder of documents. It shows a chat page and gives answers with the sources they came from.","Its main feature is keeping up with changes. When you edit, add or delete a file, its makers say the answers reflect that within seconds, with no need to re-upload anything. It works with eight different vector databases (special databases that let AI search by meaning).","By default it can keep your documents on your own machine. Only the few passages needed for a question are sent to an AI model service, and only if you set one up."],"whoFor":"Small teams and organisations that want a private assistant for their own documents, and the person who sets it up.","useWithoutCoding":"With some setup","keywords":["document chat","company knowledge base","search my files","rag","question answering"],"rating":2,"tags":[],"owner":{"name":"Pathway","githubUrl":"https://github.com/pathwaycom"},"license":"MIT","stars":58791,"contributors":27,"monthlyDownloads":610,"lastPushedAt":"2026-10-16T10:31:14Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Server","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Get a free Pathway license key from the Pathway website.","Install serviette and run its setup wizard to point it at your folder of documents.","Open the chat page in your web browser and ask questions about your files."],"officialDownload":null},{"slug":"praisonai","name":"PraisonAI","repo":"MervinPraison/PraisonAI","githubUrl":"https://github.com/MervinPraison/PraisonAI","homepage":"https://praison.ai/docs","pageUrl":"/repo/praisonai","category":"AI agents","tagline":"Build teams of AI agents that research, plan and carry out tasks across your apps.","whatItDoes":["PraisonAI is a framework for building AI agents, from a single agent to a whole team that divides up work. Its makers say agents can research, plan, write code and run tasks.","It comes with built-in memory, the ability to answer from your own documents, and support for many different AI models.","You can set it up with a few lines of Python, or download a desktop app for Mac, Windows and Linux."],"whoFor":"Developers and tinkerers who want to build and run autonomous AI agents.","useWithoutCoding":"With some setup","keywords":["ai agents","multi-agent","automation","framework","assistant"],"rating":2,"tags":["New this week"],"owner":{"name":"Mervin Praison","githubUrl":"https://github.com/MervinPraison"},"license":"MIT","stars":9260,"contributors":94,"monthlyDownloads":14420,"lastPushedAt":"2026-10-19T01:08:21Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Download the app for your computer from the project's releases page, or install it with Python.","Add an AI provider account key.","Give an agent a goal and let it work."],"officialDownload":"https://github.com/MervinPraison/PraisonAI/releases/latest"},{"slug":"argmax-oss-swift","name":"Argmax Open-Source SDK (WhisperKit, TTSKit, SpeakerKit)","repo":"argmaxinc/argmax-oss-swift","githubUrl":"https://github.com/argmaxinc/argmax-oss-swift","homepage":null,"pageUrl":"/repo/argmax-oss-swift","category":"Speech & audio","tagline":"Code kits that let iPhone and Mac apps transcribe speech, speak text aloud and tell speakers apart, on the device.","whatItDoes":["This is a set of code kits for Apple devices from the company Argmax. WhisperKit turns speech into text using OpenAI's Whisper model, TTSKit reads text aloud, and SpeakerKit works out who spoke when in a recording.","Everything runs on the iPhone, iPad or Mac itself, so audio doesn't need to be sent to the cloud. There are also command-line tools and a local server for apps that aren't built for Apple.","Argmax also sells a Pro version with extra features, such as live transcription with speaker names and Android support."],"whoFor":"Developers building iPhone, iPad or Mac apps with private speech features.","useWithoutCoding":"Developers only","keywords":["speech to text","iphone","mac","whisper","on-device"],"rating":2,"tags":["New this week"],"owner":{"name":"Argmax","githubUrl":"https://github.com/argmaxinc"},"license":"MIT","stars":6406,"contributors":45,"monthlyDownloads":null,"lastPushedAt":"2026-10-11T01:10:21Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Mac","Phone"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"wenet","name":"WeNet","repo":"wenet-e2e/wenet","githubUrl":"https://github.com/wenet-e2e/wenet","homepage":"https://wenet-e2e.github.io/wenet/","pageUrl":"/repo/wenet","category":"Speech & audio","tagline":"A speech recognition toolkit that turns recorded speech into text, built for real-world products.","whatItDoes":["WeNet converts spoken audio into written text. It is designed for use in real products, and covers everything from training models to running them.","It comes with ready-made models, including several for Chinese and Whisper models for English. You can run it from the command line on an audio file or use it in Python code.","Its makers say it is accurate on many public speech datasets, light, and easy to install."],"whoFor":"Developers and researchers building speech-to-text features, especially for Chinese and English.","useWithoutCoding":"With some setup","keywords":["speech to text","transcription","speech recognition","chinese"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"WeNet Community","githubUrl":"https://github.com/wenet-e2e"},"license":"Apache-2.0","stars":5247,"contributors":160,"monthlyDownloads":null,"lastPushedAt":"2026-09-07T07:21:09Z","sources":[{"site":"Research paper","title":"WeNet 2.0: More Productive End-to-End Speech Recognition Toolkit","url":"https://arxiv.org/abs/2203.15455","date":"2022-03-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install Python, then install WeNet using Python's package installer.","Run WeNet on an audio file, choosing a Chinese model or a Whisper model for English."],"officialDownload":null},{"slug":"javacv","name":"JavaCV","repo":"bytedeco/javacv","githubUrl":"https://github.com/bytedeco/javacv","homepage":null,"pageUrl":"/repo/javacv","category":"Developer building blocks","tagline":"Lets Java and Android programs use popular computer vision and video tools such as OpenCV and FFmpeg.","whatItDoes":["JavaCV is a code library that makes well-known computer vision tools available to programs written in Java, including Android apps. Computer vision is the field of teaching computers to understand images and video.","It wraps libraries such as OpenCV (image analysis), FFmpeg (video and audio), Tesseract (reading text in images) and drivers for various cameras. It adds helpers for showing images, calibrating cameras and projectors, and finding matching features between pictures.","Ready-made builds are available for Android, iOS, Linux, macOS and Windows."],"whoFor":"Java and Android developers who need image, video or camera processing in their apps.","useWithoutCoding":"Developers only","keywords":["computer vision","opencv","java","android","video processing"],"rating":2,"tags":["New this week"],"owner":{"name":"Bytedeco","githubUrl":"https://github.com/bytedeco"},"license":"NOASSERTION","stars":8347,"contributors":85,"monthlyDownloads":null,"lastPushedAt":"2026-08-12T02:20:17Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Phone"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":"https://github.com/bytedeco/javacv/releases"},{"slug":"leann","name":"LEANN","repo":"StarTrail-org/LEANN","githubUrl":"https://github.com/StarTrail-org/LEANN","homepage":"https://arxiv.org/abs/2506.08276","pageUrl":"/repo/leann","category":"Documents & knowledge","tagline":"Lets you search and ask questions about your own files, emails and notes, privately on your laptop.","whatItDoes":["LEANN is a vector database, a kind of search index that finds things by meaning rather than exact words. It helps build RAG systems, where an AI answers questions using your own documents.","Its makers say it uses about 97% less storage than usual tools without losing accuracy, because it works out much of the index on demand instead of storing it all. The README says your data never leaves your laptop.","The README shows it searching files, emails and browser history, and it can plug into the coding assistant Claude Code as a smarter search tool."],"whoFor":"Developers and technical users who want private AI search over their personal data or code.","useWithoutCoding":"Developers only","keywords":["private search","search my files","rag","offline ai","personal knowledge"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"StarTrail","githubUrl":"https://github.com/StarTrail-org"},"license":"MIT","stars":13034,"contributors":57,"monthlyDownloads":1488,"lastPushedAt":"2026-10-17T02:35:31Z","sources":[{"site":"Research paper","title":"LEANN research paper","url":"https://arxiv.org/abs/2506.08276","date":"2025-06-01"},{"site":"Hacker News","title":"Successful room temperature ambient-pressure magnetic levitation of LK-99","url":"https://news.ycombinator.com/item?id=36994214","date":"2023-08-04"},{"site":"Hacker News","title":"The first room-temperature ambient-pressure superconductor?","url":"https://news.ycombinator.com/item?id=36864624","date":"2023-07-25"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux","Windows"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"portkey-ai-gateway","name":"AI Gateway","repo":"Portkey-AI/gateway","githubUrl":"https://github.com/Portkey-AI/gateway","homepage":"https://portkey.ai/features/ai-gateway","pageUrl":"/repo/portkey-ai-gateway","category":"Running AI at scale","tagline":"A single doorway that lets apps reach many AI models, with automatic retries, backups and safety checks.","whatItDoes":["AI Gateway sits between an app and the AI services it uses. Instead of connecting to each provider separately, the app talks to the gateway, which passes requests on to the chosen model. Its makers say it can reach well over a thousand models.","It can retry failed requests, switch to a backup model when one is down, and spread traffic across several models. It also offers guardrails, rules that check what goes into and comes out of a model and can block certain content.","It can also manage MCP servers, the connectors that give AI tools access to other software. A free open-source version runs on your own machine, and the company also offers a hosted and an enterprise version."],"whoFor":"Developers and teams running apps that rely on one or more AI providers and want them to stay reliable.","useWithoutCoding":"Developers only","keywords":["ai gateway","llm router","fallback","guardrails","multiple ai providers"],"rating":2,"tags":["New this week"],"owner":{"name":"Portkey, Inc","githubUrl":"https://github.com/Portkey-AI"},"license":"MIT","stars":13214,"contributors":123,"monthlyDownloads":null,"lastPushedAt":"2026-05-25T13:54:51Z","sources":[{"site":"Hacker News","title":"Show HN: A lightweight AI gateway to 100+ models, in TS","url":"https://news.ycombinator.com/item?id=38911677","date":"2024-01-08"},{"site":"Hacker News","title":"Show HN: An open-source AI Gateway with integrated guardrails","url":"https://news.ycombinator.com/item?id=41246643","date":"2024-08-14"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Install Node.js, then start the gateway on your computer using the one-line command in the README.","Point your app at the gateway's local address and add the API key for the AI provider you want to use.","Open the gateway's built-in console in your browser to see a log of requests."],"officialDownload":null},{"slug":"voxcpm","name":"VoxCPM","repo":"OpenBMB/VoxCPM","githubUrl":"https://github.com/OpenBMB/VoxCPM","homepage":"https://voxcpm.com/","pageUrl":"/repo/voxcpm","category":"Speech & audio","tagline":"An open text-to-speech model that reads text aloud in 30 languages and can design or copy voices.","whatItDoes":["VoxCPM turns written text into natural-sounding speech. The latest version, VoxCPM2, supports 30 languages and several Chinese dialects, and outputs high-quality audio.","You can create a brand-new voice just by describing it, such as age, tone and mood, without any sample recording. You can also clone a voice from a short clip, and optionally steer its emotion and pace.","The model and code are released under the Apache-2.0 license, which allows commercial use. It can be used from Python, the command line or a simple web demo, and it can stream audio in real time on a strong graphics card. Its makers list risks and limitations in the README."],"whoFor":"Developers, researchers and creators who need text-to-speech or custom voices in many languages.","useWithoutCoding":"With some setup","keywords":["text to speech","voice cloning","read aloud","ai voice","multilingual"],"rating":2,"tags":["Research-backed"],"owner":{"name":"OpenBMB","githubUrl":"https://github.com/OpenBMB"},"license":"Apache-2.0","stars":39542,"contributors":31,"monthlyDownloads":57258,"lastPushedAt":"2026-10-08T03:26:41Z","sources":[{"site":"Research paper","title":"VoxCPM2 Technical Report","url":"https://arxiv.org/abs/2606.06928","date":"2026-06-01"},{"site":"Research paper","title":"VoxCPM Technical Report","url":"https://arxiv.org/abs/2509.24650","date":"2025-09-01"}],"checkedByPerson":true,"cost":"Free","runsOn":["Mac","Web browser"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Try the online playground demo to hear it without installing anything.","To run it yourself, install VoxCPM on a computer with a capable graphics card.","Start its web demo and open it in your browser to type text and make speech."],"officialDownload":null},{"slug":"cangjie-skill","name":"Cangjie Skill","repo":"kangarooking/cangjie-skill","githubUrl":"https://github.com/kangarooking/cangjie-skill","homepage":null,"pageUrl":"/repo/cangjie-skill","category":"Add-ons for AI coding tools","tagline":"Turns books, long videos and podcasts into reusable skills that an AI agent can follow.","whatItDoes":["Cangjie Skill is an add-on for AI agents. You give it a book, a long video transcript, a podcast or a talk, and it pulls out the methods and frameworks inside, then packages them as skills: instructions an AI agent can call on later.","It works in stages: understanding the whole work, extracting ideas, checking them, linking them together and testing them with tricky questions. The aim, its makers say, is structured reuse rather than a simple summary.","It is meant for agent tools that support skills, and a package for DeepSeek Harness is also offered."],"whoFor":"People who use AI agents and want to turn what they read or watch into practical, reusable guidance.","useWithoutCoding":"With some setup","keywords":["book to skill","summarize books","agent skills","podcast notes"],"rating":2,"tags":["New this week"],"owner":{"name":"kangarooking","githubUrl":"https://github.com/kangarooking"},"license":"MIT","stars":11454,"contributors":6,"monthlyDownloads":null,"lastPushedAt":"2026-10-02T03:17:52Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Download the skill package from the project's releases page.","Add it to an AI agent tool that supports skills.","Ask the agent to distill a book or transcript file into a set of skills."],"officialDownload":"https://github.com/kangarooking/cangjie-skill/releases"},{"slug":"memu","name":"memU","repo":"NevaMind-AI/memU","githubUrl":"https://github.com/NevaMind-AI/memU","homepage":"https://memu.pro/","pageUrl":"/repo/memu","category":"Add-ons for AI coding tools","tagline":"A shared memory, stored like a wiki, that your AI agents can use across sessions and devices.","whatItDoes":["memU saves useful knowledge from your sessions with AI agents and brings it back for future tasks. It works with tools such as Claude Code, Codex, Cursor and ChatGPT's work mode.","It can also turn past work into reusable written \"skills\" automatically. Its makers say the core memory logic is about 500 lines of code. You get an API key from the memu.so service to start."],"whoFor":"People who use several AI agents and want them to share what they've learned.","useWithoutCoding":"With some setup","keywords":["ai memory","agents","knowledge base","claude code","wiki"],"rating":2,"tags":[],"owner":{"name":"NevaMind AI","githubUrl":"https://github.com/NevaMind-AI"},"license":"NOASSERTION","stars":14555,"contributors":48,"monthlyDownloads":365,"lastPushedAt":"2026-10-17T09:19:58Z","sources":[{"site":"Hacker News","title":"Show HN: A file-based agent memory framework that works like skill","url":"https://news.ycombinator.com/item?id=46511540","date":"2026-01-06"},{"site":"Hacker News","title":"Show HN: MemU: Let AI Memorize You","url":"https://news.ycombinator.com/item?id=44838609","date":"2025-08-08"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Cloud"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Get a free API key from the memU website.","Send your AI coding agent the setup message from the README, including your key.","Your agent installs memU and then uses its memory automatically."],"officialDownload":null},{"slug":"kokoro-fastapi","name":"Kokoro-FastAPI","repo":"remsky/Kokoro-FastAPI","githubUrl":"https://github.com/remsky/Kokoro-FastAPI","homepage":null,"pageUrl":"/repo/kokoro-fastapi","category":"Speech & audio","tagline":"Runs the Kokoro text-to-speech voice model as your own service, with an optional web page.","whatItDoes":["Kokoro-FastAPI packages the Kokoro text-to-speech model, which turns written text into spoken audio, as a ready-to-run service. Its makers say it can generate hours of speech in minutes.","It works the same way as OpenAI's speech service, so apps built for that can use it instead. It speaks several languages, can mix voices, add word-by-word caption timings and handle long read-along text.","It runs in Docker on ordinary computers or with a graphics card for more speed, and many community apps, such as audiobook makers and Home Assistant add-ons, can use it."],"whoFor":"Tinkerers and developers who want free, self-hosted text-to-speech for their apps.","useWithoutCoding":"With some setup","keywords":["text to speech","tts","read aloud","audiobook","self-hosted voice"],"rating":2,"tags":["New this week"],"owner":{"name":"remsky","githubUrl":"https://github.com/remsky"},"license":"Apache-2.0","stars":5558,"contributors":53,"monthlyDownloads":null,"lastPushedAt":"2026-10-14T17:11:34Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install Docker on your computer.","Start the ready-made Kokoro-FastAPI image, choosing the version for your hardware.","Open the local web page or point your app at it to turn text into speech."],"officialDownload":null},{"slug":"brigade","name":"Brigade","repo":"spinabot/brigade","githubUrl":"https://github.com/spinabot/brigade","homepage":"https://www.brigade.spinabot.com/","pageUrl":"/repo/brigade","category":"AI agents","tagline":"A self-hosted team of AI agents with shared memory that you can reach from your terminal or chat apps.","whatItDoes":["Brigade runs a 'crew' of AI agents on your own computer or server. The agents are arranged on an org chart, delegate work to each other, and share one long-term memory, called Tideline, so what one learns the others can use.","The agents can act inside many everyday apps, such as Gmail, Slack, GitHub, Notion and calendars, and can read and create Word, Excel, PowerPoint and PDF files. You can talk to them from the terminal or from WhatsApp, Telegram, Slack, Discord or iMessage.","You can use almost any AI model, including local ones through Ollama, or sign in with an existing Claude, ChatGPT or Copilot subscription. Its makers say actions that need permission wait for your approval, and your keys and data stay on your machine with no tracking."],"whoFor":"Tech-savvy people and teams who want a private, always-on set of AI assistants under their own control.","useWithoutCoding":"With some setup","keywords":["personal ai assistant","ai agents","whatsapp bot","self-hosted","automation"],"rating":2,"tags":["New this week"],"owner":{"name":"spinabot","githubUrl":"https://github.com/spinabot"},"license":"MIT","stars":11344,"contributors":10,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T01:13:27Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Start Brigade in your terminal to open its chat screen.","Connect an AI model by signing in with a Claude, ChatGPT or Copilot subscription, adding an API key, or using local Ollama."],"officialDownload":null},{"slug":"vision-agents","name":"Vision Agents","repo":"GetStream/Vision-Agents","githubUrl":"https://github.com/GetStream/Vision-Agents","homepage":"https://visionagents.ai/","pageUrl":"/repo/vision-agents","category":"Developer building blocks","tagline":"Building blocks for AI agents that can watch video, listen and talk in real time.","whatItDoes":["Vision Agents, from the company Stream, helps developers build AI agents that join live video calls, see what's on camera, listen and reply, with very little delay.","It can combine fast image-recognition models, such as YOLO, with AI models from OpenAI, Google Gemini, Anthropic and others. Examples include a golf coach, workout coaching and physical therapy.","It also supports phone calls, speech-to-text and text-to-speech services, searching your own documents, and memory across conversations. It uses Stream's video network by default but its makers say it works with others."],"whoFor":"Developers building live video or voice AI apps, such as coaching, support or monitoring tools.","useWithoutCoding":"Developers only","keywords":["video ai","voice agent","real-time","computer vision","video calls"],"rating":2,"tags":["New this week"],"owner":{"name":"Stream","githubUrl":"https://github.com/GetStream"},"license":"Apache-2.0","stars":8170,"contributors":31,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:48:39Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"openbot","name":"OpenBot","repo":"CopilotKit/OpenBot","githubUrl":"https://github.com/CopilotKit/OpenBot","homepage":"https://www.copilotkit.ai/openbot","pageUrl":"/repo/openbot","category":"AI agents","tagline":"A starting template for a company's own AI coworkers, each with its own browser, files and tools.","whatItDoes":["OpenBot is a template for building an AI assistant platform that runs on your own systems. Each AI coworker gets its own browser, files and only the tools you allow.","You can watch an agent work on its own screen and take over when it reaches something it shouldn't do alone. Every action is checked before it happens and recorded afterwards.","The README says it is a template to copy and customise, not a finished product, and that it is an early alpha."],"whoFor":"Developers and companies building their own in-house AI assistants.","useWithoutCoding":"Developers only","keywords":["ai coworker","company ai assistant","self-hosted agents","browser agent"],"rating":2,"tags":["New this week"],"owner":{"name":"CopilotKit","githubUrl":"https://github.com/CopilotKit"},"license":"MIT","stars":6636,"contributors":41,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T18:02:10Z","sources":[{"site":"Hacker News","title":"Show HN: Open Bot – an open-source Grok Bot that works with any agent harness","url":"https://news.ycombinator.com/item?id=49365575","date":"2026-08-19"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Server"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"opencommit","name":"OpenCommit","repo":"di-sukharev/opencommit","githubUrl":"https://github.com/di-sukharev/opencommit","homepage":"https://www.npmjs.com/package/opencommit","pageUrl":"/repo/opencommit","category":"Coding assistants","tagline":"Writes the description for your saved code changes automatically, using an AI model.","whatItDoes":["OpenCommit writes commit messages for programmers. A commit message is the short note that explains what changed each time code is saved in Git, a version-tracking tool.","You run it in your project and it reads your changes and suggests a clear message in about a second. Emojis, length and style can be adjusted.","It works with OpenAI and other AI providers, which need a paid API key, or with local models through Ollama or llama.cpp."],"whoFor":"Programmers who use Git and want quicker, clearer commit messages.","useWithoutCoding":"Developers only","keywords":["commit messages","git","developer tools","ai writing"],"rating":2,"tags":["New this week"],"owner":{"name":"GPT8","githubUrl":"https://github.com/di-sukharev"},"license":"MIT","stars":7540,"contributors":113,"monthlyDownloads":12818,"lastPushedAt":"2026-10-13T10:16:32Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"magic-resume","name":"Magic Resume","repo":"JOYCEQL/magic-resume","githubUrl":"https://github.com/JOYCEQL/magic-resume","homepage":"https://magicv.art/","pageUrl":"/repo/magic-resume","category":"Everyday tools","tagline":"An online resume editor with live preview, themes, PDF export and AI help with writing.","whatItDoes":["Magic Resume is a web app for writing a professional resume (CV). You see changes in real time, can pick custom themes and dark mode, and can export the result as a PDF.","Its roadmap lists AI-assisted writing, support for custom AI models, and a feature to fit a resume on one page as done. It can work with AI providers such as OpenAI, Gemini, Anthropic, DeepSeek, Qwen and Doubao.","Your work is saved automatically and kept in your browser's local storage."],"whoFor":"Job seekers who want a clean, modern resume and some AI help with the wording.","useWithoutCoding":"With some setup","keywords":["resume builder","cv maker","ai resume","pdf resume"],"rating":2,"tags":["New this week"],"owner":{"name":"siyue","githubUrl":"https://github.com/JOYCEQL"},"license":"NOASSERTION","stars":11116,"contributors":17,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T16:54:16Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Web browser","Server"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Run your own copy on your computer or a server with Docker, following the project's instructions.","Open it in your web browser, write your resume and export it as a PDF."],"officialDownload":null},{"slug":"utopia","name":"Utopia","repo":"deeplethe/utopia","githubUrl":"https://github.com/deeplethe/utopia","homepage":null,"pageUrl":"/repo/utopia","category":"Documents & knowledge","tagline":"A self-hosted company knowledge base that tracks how facts change over time and answers with sources.","whatItDoes":["Utopia turns a company's documents into a knowledge graph, a web of people, things and facts linked together. Each fact records when it was true and where it came from, so you can ask what applied on a past date.","You can upload many file types or sync sources like web pages, Notion and Jira, then search and chat with answers that cite their sources. It can spot conflicting facts and sends doubtful cases to a person for review.","Its makers say it can run fully offline on company hardware, works with any OpenAI-compatible AI model, including local ones, and lets AI agents connect through MCP."],"whoFor":"Organisations that need a trustworthy, checkable knowledge base for people and AI agents.","useWithoutCoding":"With some setup","keywords":["knowledge base","knowledge graph","company documents","search with sources","self-hosted"],"rating":2,"tags":["New this week"],"owner":{"name":"DeepLethe","githubUrl":"https://github.com/deeplethe"},"license":"Apache-2.0","stars":8435,"contributors":29,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:31:21Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Server"],"hardware":"Made for servers or data centres","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"pandawiki","name":"PandaWiki","repo":"chaitin/PandaWiki","githubUrl":"https://github.com/chaitin/PandaWiki","homepage":"https://pandawiki.docs.baizhi.cloud/","pageUrl":"/repo/pandawiki","category":"Documents & knowledge","tagline":"Build an AI-powered wiki or help centre that can write, search and answer questions about your documents.","whatItDoes":["PandaWiki is a system for building knowledge bases, such as product manuals, technical docs, FAQs and blogs. It uses AI models to help write content, answer readers' questions and search.","It has a rich text editor that handles Markdown and HTML, and can export to Word, PDF and Markdown. You can import content from web pages, sitemaps, RSS feeds and files.","Your wiki can be added to other websites as a widget, or connected to chat apps like DingTalk, Feishu and WeCom as a chatbot. A hosted version is also offered, and the AI features need an AI model to be connected."],"whoFor":"Companies and teams that want a self-hosted documentation site or help centre with AI question-answering.","useWithoutCoding":"With some setup","keywords":["wiki","knowledge base","documentation","help center","faq"],"rating":2,"tags":["New this week"],"owner":{"name":"Chaitin Tech","githubUrl":"https://github.com/chaitin"},"license":"AGPL-3.0","stars":10324,"contributors":22,"monthlyDownloads":null,"lastPushedAt":"2026-10-09T09:10:41Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Linux","Server"],"hardware":"Made for servers or data centres","privacy":null,"needsApiKey":true,"firstSteps":["Prepare a Linux server with Docker and run the install command from the project's guide.","Open the web address it shows and log in with the username and password it gives you.","Connect an AI model when asked, then create a knowledge base and add your documents."],"officialDownload":null},{"slug":"sana","name":"SANA","repo":"NVlabs/Sana","githubUrl":"https://github.com/NVlabs/Sana","homepage":"https://nvlabs.github.io/Sana/docs/","pageUrl":"/repo/sana","category":"Images & video","tagline":"NVIDIA research models that create high-resolution images and videos from text descriptions, built for speed.","whatItDoes":["SANA is a family of image and video generation models from NVIDIA's research lab. You describe a picture or scene in words, and the model creates it. The focus is on making high-resolution results quickly and efficiently.","The project has grown to include fast one-step image models, text-to-video models, real-time long video generation and editing, and a \"world model\" that makes videos with camera control.","It includes everything needed to run and train the models. Online demos are available, and some versions also work in the popular ComfyUI image tool."],"whoFor":"AI researchers and developers working on image and video generation, and creators comfortable with tools like ComfyUI.","useWithoutCoding":"Developers only","keywords":["text to image","text to video","image generator","nvidia","video generation"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"NVIDIA Research Projects","githubUrl":"https://github.com/NVlabs"},"license":"Apache-2.0","stars":9391,"contributors":25,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T07:58:21Z","sources":[{"site":"Research paper","title":"SANA-Video: efficient video generation (paper linked in the README)","url":"https://arxiv.org/abs/2509.24695","date":"2025-09-01"},{"site":"Research paper","title":"Sol-RL: reinforcement learning training for image models (paper linked in the README)","url":"https://arxiv.org/abs/2604.06916","date":"2026-04-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"trueforge","name":"TrueForge","repo":"truefoundry/trueforge","githubUrl":"https://github.com/truefoundry/trueforge","homepage":"https://trueforge.dev/","pageUrl":"/repo/trueforge","category":"AI agents","tagline":"Ready-made software that turns an AI model into a working agent, with a chat window, tools and safety checks.","whatItDoes":["TrueForge is an agent harness: the layer that runs an AI agent's loop of thinking, using tools and replying. It handles model calls, MCP tools (plug-ins for new abilities), skills, sandboxes for running code safely, approvals and saved sessions.","You can use it through a chat window, an API (a doorway for other programs), or embed its chat interface in your own app. It works with OpenAI, Anthropic, Google Gemini and other providers.","It runs in a simple local mode on one computer, or in a hosted mode for teams. The README warns local mode has no login and should stay on your own machine."],"whoFor":"Developers and teams who want to build and run AI agents without building all the plumbing themselves.","useWithoutCoding":"With some setup","keywords":["ai agent","agent platform","mcp","chat ui","automation"],"rating":2,"tags":["New this week"],"owner":{"name":"TrueFoundry","githubUrl":"https://github.com/truefoundry"},"license":"MIT","stars":6292,"contributors":43,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T03:01:28Z","sources":[{"site":"Hacker News","title":"TrueForge – The open-source agent harness","url":"https://news.ycombinator.com/item?id=49378419","date":"2026-08-20"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":true,"firstSteps":["Install Node.js and run the project's quick-start command to start it in local mode.","Connect an AI model, plus any tools and skills, then build your first agent in the chat interface."],"officialDownload":null},{"slug":"cosyvoice","name":"CosyVoice","repo":"QwenAudio/CosyVoice","githubUrl":"https://github.com/QwenAudio/CosyVoice","homepage":"https://funaudiollm.github.io/cosyvoice3","pageUrl":"/repo/cosyvoice","category":"Speech & audio","tagline":"Reads text aloud in natural-sounding speech in many languages, and can copy a voice from a short sample.","whatItDoes":["CosyVoice is a family of text-to-speech models: give it text and it speaks it aloud. The latest version, Fun-CosyVoice 3.0, covers nine common languages, including Chinese, English, Japanese, Korean, German, Spanish, French, Italian and Russian, plus many Chinese dialects and accents.","It can do \"zero-shot voice cloning\": imitate a voice from a short recording without extra training, even across languages. You can steer the language, dialect, emotion, speed and volume with instructions, correct how particular words are pronounced, and stream audio as it's generated. Its makers publish test results comparing it with other speech models.","The project includes the models, training code and tools for running it as a service."],"whoFor":"Developers and researchers building voice apps, audiobooks, assistants or dubbing tools.","useWithoutCoding":"Developers only","keywords":["text to speech","voice cloning","tts","chinese voice","ai voice"],"rating":2,"tags":["Research-backed"],"owner":{"name":"QwenAudio","githubUrl":"https://github.com/QwenAudio"},"license":"Apache-2.0","stars":24028,"contributors":51,"monthlyDownloads":null,"lastPushedAt":"2026-05-25T18:15:40Z","sources":[{"site":"Research paper","title":"CosyVoice: A Scalable Multilingual Zero-shot Text-to-speech Synthesizer based on Supervised Semantic Tokens","url":"https://arxiv.org/abs/2407.05407","date":"2024-07-01"},{"site":"Research paper","title":"CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models","url":"https://arxiv.org/abs/2412.10117","date":"2024-12-01"},{"site":"Research paper","title":"CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-training","url":"https://arxiv.org/abs/2505.17589","date":"2025-05-01"}],"checkedByPerson":true,"cost":"Free","runsOn":["Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"a-stock-data","name":"a-stock-data","repo":"simonlin1212/a-stock-data","githubUrl":"https://github.com/simonlin1212/a-stock-data","homepage":null,"pageUrl":"/repo/a-stock-data","category":"Finance & trading","tagline":"Gives AI coding assistants ready access to Chinese stock market data, news and company filings.","whatItDoes":["a-stock-data is a skill file for AI coding assistants such as Claude Code and Codex. It bundles ways to fetch data about China's A-share stock market from dozens of public sources.","It covers prices and charts, research reports, money flows, news, company finances, announcements, options, futures, bonds and economic figures. Its makers say most sources need no key, apart from one.","Once installed, you can ask your assistant a question about a stock in plain words and it uses the skill to look the data up."],"whoFor":"People researching Chinese stocks who already use an AI coding assistant.","useWithoutCoding":"With some setup","keywords":["china stocks","stock data","market data","investment research","claude code skill"],"rating":2,"tags":["New this week"],"owner":{"name":"Simon Lin","githubUrl":"https://github.com/simonlin1212"},"license":"Apache-2.0","stars":10942,"contributors":3,"monthlyDownloads":null,"lastPushedAt":"2026-10-11T13:08:34Z","sources":[],"checkedByPerson":true,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Create a skill folder for your AI coding assistant and copy in the project's skill file, as the README describes.","Start your assistant and ask about a stock, for example its valuation."],"officialDownload":null},{"slug":"tuios","name":"TUIOS","repo":"Gaurav-Gosain/tuios","githubUrl":"https://github.com/Gaurav-Gosain/tuios","homepage":"https://tuios.dev/","pageUrl":"/repo/tuios","category":"Add-ons for AI coding tools","tagline":"A terminal window manager that shows what your AI coding agents are doing in each pane.","whatItDoes":["TUIOS splits your terminal, the text window programmers use, into many panes and workspaces, with keyboard controls similar to the vim editor.","Sessions keep running even if you close the window or restart. Coding agents running in its panes can report their status and message each other, and one inbox collects what needs your attention.","There is an online guided tour you can try without installing anything."],"whoFor":"Programmers who run several AI coding agents at once in the terminal.","useWithoutCoding":"With some setup","keywords":["terminal","coding agents","window manager","productivity"],"rating":2,"tags":["New this week"],"owner":{"name":"Gaurav Gosain","githubUrl":"https://github.com/Gaurav-Gosain"},"license":"MIT","stars":5485,"contributors":51,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:01:24Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux","Windows"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Download a ready-made program from the project's releases page, or install it with a package manager such as Homebrew.","Start it inside your terminal and open panes for your tools and agents."],"officialDownload":"https://github.com/Gaurav-Gosain/tuios/releases"},{"slug":"skillhub","name":"SkillHub","repo":"iflytek/skillhub","githubUrl":"https://github.com/iflytek/skillhub","homepage":"https://skill.xfyun.cn/","pageUrl":"/repo/skillhub","category":"Add-ons for AI coding tools","tagline":"A self-hosted library where companies publish, find and manage skills for their AI agents.","whatItDoes":["Skills are packages of instructions and files that teach AI agents how to do particular jobs. SkillHub, from iFlytek, is a private registry where an organization can publish skills, keep versions, and let staff search for and install them.","It is built to run on a company's own servers with Docker or Kubernetes. It includes access controls by role, audit logs and a command-line tool for installing skills."],"whoFor":"Companies and teams that want a private, governed place to share AI agent skills.","useWithoutCoding":"Developers only","keywords":["agent skills","skill registry","enterprise","self-hosted","ai agents"],"rating":2,"tags":["New this week"],"owner":{"name":"iFLYTEK","githubUrl":"https://github.com/iflytek"},"license":"Apache-2.0","stars":5244,"contributors":54,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T11:46:10Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Server"],"hardware":"Made for servers or data centres","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"llm-engineer-toolkit","name":"LLM Engineer Toolkit","repo":"KalyanKS-NLP/llm-engineer-toolkit","githubUrl":"https://github.com/KalyanKS-NLP/llm-engineer-toolkit","homepage":"https://www.linkedin.com/in/kalyanksnlp/","pageUrl":"/repo/llm-engineer-toolkit","category":"Learning resources","tagline":"A sorted list of over a hundred software libraries for building with large language models.","whatItDoes":["This is a curated list of code libraries for working with large language models (LLMs), the technology behind chatbots like ChatGPT.","The libraries are grouped by task, such as training, building apps, document search (RAG), running models, agents, evaluation, monitoring, prompts and safety. Each entry has a one-line description and a link.","The README also promotes the author's related lists, a newsletter and a paid book."],"whoFor":"Developers and AI engineers looking for tools to build LLM applications.","useWithoutCoding":"Yes","keywords":["llm tools list","ai libraries","awesome list","llm engineering"],"rating":2,"tags":["New this week"],"owner":{"name":"Kalyan KS","githubUrl":"https://github.com/KalyanKS-NLP"},"license":"Apache-2.0","stars":10885,"contributors":20,"monthlyDownloads":null,"lastPushedAt":"2026-10-11T10:56:19Z","sources":[{"site":"Hacker News","title":"I had to take down my course-swapping site or be expelled","url":"https://news.ycombinator.com/item?id=42638626","date":"2025-01-08"},{"site":"Hacker News","title":"It's later than you think","url":"https://news.ycombinator.com/item?id=20928570","date":"2019-09-10"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the project page and browse the categories to find tools for what you want to build."],"officialDownload":null},{"slug":"firecrawl-mcp-server","name":"Firecrawl MCP Server","repo":"firecrawl/firecrawl-mcp-server","githubUrl":"https://github.com/firecrawl/firecrawl-mcp-server","homepage":"https://firecrawl.dev/","pageUrl":"/repo/firecrawl-mcp-server","category":"Add-ons for AI coding tools","tagline":"Gives AI assistants like Claude and Cursor the ability to search, read and collect information from websites.","whatItDoes":["This connector links AI tools to Firecrawl, an online service that fetches web pages and turns them into clean text or structured data. It uses the Model Context Protocol (MCP), a common way to plug tools into AI assistants.","Once connected, your assistant can search the web, read any page, crawl many pages of a site, click through pages, and watch a page for changes.","A hosted version offers a limited free tier for some tools without a key. Other tools and higher limits need a Firecrawl account and API key."],"whoFor":"People who use AI assistants such as Claude, Cursor or other MCP-compatible apps and want them to work with live web content.","useWithoutCoding":"With some setup","keywords":["web scraping","mcp server","web search","claude","cursor"],"rating":2,"tags":["New this week"],"owner":{"name":"Firecrawl","githubUrl":"https://github.com/firecrawl"},"license":"MIT","stars":7632,"contributors":36,"monthlyDownloads":584514,"lastPushedAt":"2026-10-19T01:19:33Z","sources":[{"site":"Hacker News","title":"How to Build an AI Software Factory: Agents That Open, Review, and Merge PRs","url":"https://news.ycombinator.com/item?id=49666960","date":"2026-09-11"},{"site":"Hacker News","title":"Show HN: Llms.txt Generator – Turn websites into a text file to feed to any LLM","url":"https://news.ycombinator.com/item?id=42207756","date":"2024-11-21"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Cloud"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Open your AI app's settings for connecting MCP servers.","Add the hosted Firecrawl server address from the project's instructions.","For the full set of tools, sign up with Firecrawl and add your API key in the app's secure settings."],"officialDownload":null},{"slug":"deeplabcut","name":"DeepLabCut","repo":"DeepLabCut/DeepLabCut","githubUrl":"https://github.com/DeepLabCut/DeepLabCut","homepage":"http://deeplabcut.org/","pageUrl":"/repo/deeplabcut","category":"Images & video","tagline":"Tracks the body movements of animals, including people, in videos, without markers on their bodies.","whatItDoes":["DeepLabCut is a toolbox for pose estimation, which means finding and following body points like paws, noses or joints in video. It works without stickers or markers on the animal.","You label a few frames to show what you want to track, and it trains a model to do the rest. It also offers pretrained models for four-legged animals and for mice seen from above.","It has a graphical interface and a Python interface, and is widely used by life scientists studying behaviour."],"whoFor":"Researchers in biology, neuroscience and animal behaviour.","useWithoutCoding":"With some setup","keywords":["animal tracking","pose estimation","behaviour research","video analysis"],"rating":2,"tags":["New this week"],"owner":{"name":"DeepLabCut","githubUrl":"https://github.com/DeepLabCut"},"license":"LGPL-3.0","stars":5792,"contributors":152,"monthlyDownloads":6701,"lastPushedAt":"2026-10-16T17:35:12Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install Python and PyTorch, choosing the graphics card version if you have one.","Install DeepLabCut with its graphical interface using Python's package installer.","Follow the demo notebooks to label frames and train your first tracker."],"officialDownload":null},{"slug":"tabpfn","name":"TabPFN","repo":"PriorLabs/TabPFN","githubUrl":"https://github.com/PriorLabs/TabPFN","homepage":"http://priorlabs.ai/","pageUrl":"/repo/tabpfn","category":"AI models & research","tagline":"A ready-trained AI model that makes predictions from spreadsheet-style data without lengthy training.","whatItDoes":["TabPFN is a foundation model for tabular data, meaning data arranged in rows and columns, like a spreadsheet. It can sort rows into groups (classification) or predict numbers (regression).","Unlike many methods, you do not have to train a model from scratch. You give it your table and it makes predictions straight away, downloading its model file the first time.","A graphics card is recommended. On a normal processor it handles only moderate amounts of data, and its makers offer a free hosted option for people without one."],"whoFor":"Data scientists, analysts and researchers who work with tables of data.","useWithoutCoding":"Developers only","keywords":["spreadsheet predictions","tabular data","data science","classification"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"Prior Labs","githubUrl":"https://github.com/PriorLabs"},"license":"Apache-2.0","stars":8215,"contributors":71,"monthlyDownloads":159700,"lastPushedAt":"2026-10-15T14:19:24Z","sources":[{"site":"Research paper","title":"TabPFN-2.5 model report","url":"https://arxiv.org/abs/2511.08667","date":"2025-11-01"},{"site":"Research paper","title":"TabPFN-3 technical report","url":"https://arxiv.org/abs/2605.13986","date":"2026-05-01"},{"site":"Research paper","title":"TabPFN-3.5 model report","url":"https://arxiv.org/abs/2609.17895","date":"2026-09-01"},{"site":"Hacker News","title":"Show HN: TabPFN-2.5 – SOTA foundation model for tabular data","url":"https://news.ycombinator.com/item?id=45838540","date":"2025-11-06"},{"site":"Hacker News","title":"Show HN: TabPFN MCP, gives LLMs tools for predictions on tabular data (beta)","url":"https://news.ycombinator.com/item?id=46901522","date":"2026-02-05"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux","Windows"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"awesome-ai-in-finance","name":"Awesome AI in Finance","repo":"georgezouq/awesome-ai-in-finance","githubUrl":"https://github.com/georgezouq/awesome-ai-in-finance","homepage":"https://medium.com/@zousongqi0213/how-people-use-ai-in-finance-59f0a7512b4","pageUrl":"/repo/awesome-ai-in-finance","category":"Finance & trading","tagline":"A curated list of AI tools, research and code for analysing and trading in financial markets.","whatItDoes":["This is a list of links about using AI in finance. It covers AI trading agents, finance-focused language models, research papers, courses, strategies, data sources, trading systems and connectors for AI assistants.","Many linked projects describe automated trading or claims about returns. These come from the linked projects, not from this site, and should be treated with care."],"whoFor":"Developers, researchers and students interested in how AI is applied to markets and investing.","useWithoutCoding":"Yes","keywords":["ai trading","finance ai","quant","stock market ai","awesome list"],"rating":2,"tags":["New this week"],"owner":{"name":"George","githubUrl":"https://github.com/georgezouq"},"license":"CC0-1.0","stars":6675,"contributors":104,"monthlyDownloads":null,"lastPushedAt":"2026-09-08T03:00:12Z","sources":[],"checkedByPerson":true,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the project page and pick a section from the contents list.","Follow the links to the tools or papers that interest you."],"officialDownload":null},{"slug":"opcode","name":"opcode","repo":"winfunc/opcode","githubUrl":"https://github.com/winfunc/opcode","homepage":"https://opcode.sh/","pageUrl":"/repo/opcode","category":"Add-ons for AI coding tools","tagline":"A desktop app that gives Claude Code a visual interface for managing projects, sessions and custom agents.","whatItDoes":["Claude Code is Anthropic's AI coding assistant, which normally runs in a text-only terminal window. opcode wraps it in a desktop app with menus and windows.","You can browse your projects and past sessions, create custom AI agents with their own instructions and run them in the background. A dashboard tracks how much you're spending and using, and you can manage tool connections (MCP servers) and save checkpoints of your work.","The README notes that it is an independent project and is not affiliated with Anthropic."],"whoFor":"Developers who use Claude Code and prefer a visual interface.","useWithoutCoding":"Developers only","keywords":["claude code","gui","desktop app","ai agents","usage tracking"],"rating":2,"tags":[],"owner":{"name":"winfunc","githubUrl":"https://github.com/winfunc"},"license":"AGPL-3.0","stars":22415,"contributors":14,"monthlyDownloads":null,"lastPushedAt":"2026-09-18T16:18:10Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install Claude Code first.","Ready-made downloads are not published yet, so the app must be built from its source code.","Launch opcode and it will find your Claude Code projects automatically."],"officialDownload":null},{"slug":"coze-loop","name":"Coze Loop","repo":"coze-dev/coze-loop","githubUrl":"https://github.com/coze-dev/coze-loop","homepage":null,"pageUrl":"/repo/coze-loop","category":"Running AI at scale","tagline":"A platform for developing, testing and monitoring AI agents and their prompts.","whatItDoes":["Coze Loop helps teams manage the whole life of an AI agent. It has a playground for writing and comparing prompts, the instructions given to AI models, with version history.","It can test prompts and agents automatically against sets of examples, checking things like accuracy. It also records every step an agent takes, so developers can see what happened and fix problems.","This is the open-source edition of a commercial product. It connects to AI models such as OpenAI and Volcengine Ark."],"whoFor":"Developers and teams building AI agents who need to test and monitor them.","useWithoutCoding":"With some setup","keywords":["prompt testing","agent evaluation","llm monitoring","prompt management"],"rating":2,"tags":["New this week"],"owner":{"name":"coze-dev","githubUrl":"https://github.com/coze-dev"},"license":"Apache-2.0","stars":5774,"contributors":46,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T07:40:14Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Server"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Install Docker on your computer or server.","Download the project and add your AI model's key to its model settings file.","Start it with Docker and open it in your web browser."],"officialDownload":null},{"slug":"awesome-free-llm-apis","name":"Awesome Free LLM APIs","repo":"mnfst/awesome-free-llm-apis","githubUrl":"https://github.com/mnfst/awesome-free-llm-apis","homepage":null,"pageUrl":"/repo/awesome-free-llm-apis","category":"Learning resources","tagline":"A list of AI model providers that offer permanent free tiers, with their models and usage limits.","whatItDoes":["This is a curated list of services that let you use AI language models through an API (a doorway that lets programs talk to each other) without paying, within certain limits.","For each provider, such as Google Gemini, Mistral, Cohere and others, it lists the available models, how much text they can handle and how many requests you can make. Each entry links to the provider's own page for getting an API key, a password-like code.","It also notes conditions worth knowing, for example when a free tier is for non-commercial use only, or when the provider may use your prompts to improve its models."],"whoFor":"Developers, students and hobbyists who want to experiment with AI models on a small or zero budget.","useWithoutCoding":"Developers only","keywords":["free ai api","free api key","llm","gemini","developer resources"],"rating":2,"tags":["New this week"],"owner":{"name":"Manifest","githubUrl":"https://github.com/mnfst"},"license":"CC0-1.0","stars":10626,"contributors":8,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T03:53:10Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Browse the list and pick a provider whose limits and conditions suit you.","Follow its link to the provider's own page to create a free API key."],"officialDownload":null},{"slug":"doctr","name":"docTR","repo":"mindee/doctr","githubUrl":"https://github.com/mindee/doctr","homepage":"https://mindee.github.io/doctr/","pageUrl":"/repo/doctr","category":"Documents & knowledge","tagline":"Reads text from scanned documents and photos using AI.","whatItDoes":["docTR does optical character recognition (OCR): it finds words on a page image or PDF and reads them. It can also spot layout parts like titles and tables.","It offers several model choices and pretrained models. It is now maintained by t2k GmbH."],"whoFor":"Developers who need to extract text from documents.","useWithoutCoding":"Developers only","keywords":["ocr","scan to text","pdf text","document reading"],"rating":2,"tags":["New this week"],"owner":{"name":"Mindee","githubUrl":"https://github.com/mindee"},"license":"Apache-2.0","stars":6391,"contributors":83,"monthlyDownloads":204697,"lastPushedAt":"2026-10-16T11:33:15Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"rtranslator","name":"RTranslator","repo":"niedev/RTranslator","githubUrl":"https://github.com/niedev/RTranslator","homepage":null,"pageUrl":"/repo/rtranslator","category":"Speech & audio","tagline":"A free Android app that translates spoken conversations in real time, working offline on your phone.","whatItDoes":["RTranslator is an Android app for talking with someone who speaks another language. In Conversation mode, two phones connect; each person speaks, and the other hears the translation in their own language, even through Bluetooth headphones.","WalkieTalkie mode works with just one phone for quick chats, such as asking for directions. There is also a plain text translator.","The AI models for speech recognition and translation run on the phone itself, so it works offline and, its maker says, collects no personal data. The models are a large download on first launch, and the README recommends a phone with at least 6GB of memory."],"whoFor":"Travelers and anyone who needs to talk face to face across a language barrier.","useWithoutCoding":"Yes","keywords":["translator","translation app","offline translation","travel","speech translation"],"rating":2,"tags":["New this week"],"owner":{"name":"niedev","githubUrl":"https://github.com/niedev"},"license":"Apache-2.0","stars":10516,"contributors":12,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T10:23:32Z","sources":[{"site":"Hacker News","title":"Show HN: I made an open source and local translation app","url":"https://news.ycombinator.com/item?id=40722317","date":"2024-06-18"}],"checkedByPerson":false,"cost":"Free","runsOn":["Phone"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Download the latest app file from the project's GitHub releases page and install it on your Android phone.","Open the app and let it download its translation and speech models.","Pick Conversation, WalkieTalkie or text mode and start translating."],"officialDownload":"https://github.com/niedev/RTranslator/releases"},{"slug":"zero-mail","name":"Zero","repo":"Mail-0/Zero","githubUrl":"https://github.com/Mail-0/Zero","homepage":"https://discord.gg/mzJ227YJR","pageUrl":"/repo/zero-mail","category":"Everyday tools","tagline":"An open-source email app you can host yourself, with AI features and one inbox for several accounts.","whatItDoes":["Zero is an email app you can run on your own server instead of relying only on a big email company. It connects to existing email accounts such as Gmail and Outlook and shows them in one unified inbox.","Its makers describe it as AI-driven, using AI agents and language models to help with email. They say the app itself does not track or sell your data, but note that connected outside services follow their own rules."],"whoFor":"Technically minded people who want a self-hosted email app with AI features.","useWithoutCoding":"Developers only","keywords":["email app","gmail alternative","self-hosted email","ai email","inbox"],"rating":2,"tags":["New this week"],"owner":{"name":"Orchid","githubUrl":"https://github.com/Mail-0"},"license":"MIT","stars":10852,"contributors":142,"monthlyDownloads":null,"lastPushedAt":"2026-05-26T20:27:28Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Server","Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"ballonstranslator","name":"BallonsTranslator","repo":"dmMaze/BallonsTranslator","githubUrl":"https://github.com/dmMaze/BallonsTranslator","homepage":null,"pageUrl":"/repo/ballonstranslator","category":"Images & video","tagline":"Translates comics and manga with AI, then puts the translated text back into the speech bubbles.","whatItDoes":["BallonsTranslator detects text in comic pages, reads it, erases it and fills in a machine translation in a matching style. You can then edit text and images by hand.","It supports several translators, including AI models with glossaries. The makers ask that publicly shared machine translations be labelled as such."],"whoFor":"Comic and manga fans and translators.","useWithoutCoding":"Yes","keywords":["manga translation","comic translator","translate images"],"rating":2,"tags":["New this week"],"owner":{"name":"dmMaze","githubUrl":"https://github.com/dmMaze"},"license":"GPL-3.0","stars":5217,"contributors":51,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T11:50:06Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Mac","Linux"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["On Windows, download the small package from the project's GitHub releases page and unzip it.","Double-click the launch file to start the app and open a comic folder."],"officialDownload":"https://github.com/dmMaze/BallonsTranslator/releases"},{"slug":"awesome-nanobanana-pro","name":"Awesome Nano Banana Pro","repo":"ZeroLu/awesome-nanobanana-pro","githubUrl":"https://github.com/ZeroLu/awesome-nanobanana-pro","homepage":"https://cyberbara.com/seedance2.0?utm_source=banana","pageUrl":"/repo/awesome-nanobanana-pro","category":"Learning resources","tagline":"A collection of example prompts for Google's Nano Banana Pro image model, grouped by use.","whatItDoes":["This is a curated list of text prompts for Nano Banana Pro, an AI image model from Google, with credits for where each came from.","Prompts are grouped into themes such as photorealism, product photos, photo restoration, interior design and social media. The list also includes sponsor messages."],"whoFor":"Anyone using Nano Banana Pro who wants prompt ideas.","useWithoutCoding":"Yes","keywords":["image prompts","nano banana","gemini image","prompt ideas"],"rating":2,"tags":["New this week"],"owner":{"name":"ZeroLu","githubUrl":"https://github.com/ZeroLu"},"license":"MIT","stars":10354,"contributors":2,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T02:17:34Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Browse the table of contents and pick a theme.","Copy a prompt into the Nano Banana Pro image model and adjust it."],"officialDownload":null},{"slug":"zvec","name":"Zvec","repo":"alibaba/zvec","githubUrl":"https://github.com/alibaba/zvec","homepage":"https://zvec.org/","pageUrl":"/repo/zvec","category":"Developer building blocks","tagline":"A lightweight database that lives inside your app and finds information by meaning, keywords, or both.","whatItDoes":["Zvec is a vector database, a way to store the number lists (vectors) AI uses to capture meaning, and quickly find the closest matches. Unlike databases that run as a separate server, it runs inside your own program, so there's nothing extra to set up.","It supports meaning-based search, normal keyword search, and filters, all combined in one query. Its makers say it was tested inside Alibaba and can search billions of items in milliseconds, and that data is protected even if the program crashes.","It's available for Python, Node.js, Go, Rust and Flutter. There's also a visual tool, Zvec Studio, for browsing data, and a search tool for code and documents."],"whoFor":"Developers adding AI search or memory to apps, from notebooks to small devices.","useWithoutCoding":"Developers only","keywords":["vector database","semantic search","rag","local search","embeddings"],"rating":2,"tags":[],"owner":{"name":"Alibaba","githubUrl":"https://github.com/alibaba"},"license":"Apache-2.0","stars":16123,"contributors":35,"monthlyDownloads":61716,"lastPushedAt":"2026-10-18T18:03:28Z","sources":[{"site":"Hacker News","title":"Zvec: A lightweight, fast, in-process vector database","url":"https://news.ycombinator.com/item?id=47000535","date":"2026-02-13"},{"site":"Hacker News","title":"Zvec is a lightweight, fast, in-process vector database","url":"https://news.ycombinator.com/item?id=47011342","date":"2026-02-14"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Mac","Windows"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"astrid","name":"Astrid","repo":"astrid-runtime/astrid","githubUrl":"https://github.com/astrid-runtime/astrid","homepage":null,"pageUrl":"/repo/astrid","category":"Developer building blocks","tagline":"A sandboxed runtime that controls exactly what each piece of software, including AI agents, is allowed to do.","whatItDoes":["Astrid is an early operating-system project. Today it runs as a program on Mac and Linux that hosts small software pieces called capsules, each kept in its own sandbox.","Each capsule only gets the file, network and other access it has been granted. Its makers argue that AI agents should be limited by the system itself, not just by instructions in a prompt.","It does not come with an AI model or agent built in; developers use it to assemble their own agent systems and tools."],"whoFor":"Developers building AI agent systems who care about strict security limits.","useWithoutCoding":"Developers only","keywords":["ai agent sandbox","agent security","webassembly","runtime"],"rating":2,"tags":["New this week"],"owner":{"name":"Astrid","githubUrl":"https://github.com/astrid-runtime"},"license":"Apache-2.0","stars":10282,"contributors":7,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T15:41:30Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"avoid-ai-writing","name":"avoid-ai-writing","repo":"conorbronsdon/avoid-ai-writing","githubUrl":"https://github.com/conorbronsdon/avoid-ai-writing","homepage":"https://chainofthought.show/go/avoid-ai-writing/","pageUrl":"/repo/avoid-ai-writing","category":"Add-ons for AI coding tools","tagline":"A skill that helps AI agents spot and rewrite text that sounds machine-written.","whatItDoes":["This is a skill, a reusable set of instructions, for AI agents like Claude Code, Codex, OpenClaw and Hermes. It checks writing for patterns typical of AI text and rewrites it to sound more natural.","It has three modes: rewrite the text, only point out problems, or make small edits to a file in place. You can pick a voice, such as casual, professional or warm.","The README says its rules are made for English, with community versions for other languages."],"whoFor":"Writers and teams who use AI agents and want their text to read as human.","useWithoutCoding":"With some setup","keywords":["writing","edit text","ai writing","claude"],"rating":2,"tags":["New this week"],"owner":{"name":"Conor Bronsdon","githubUrl":"https://github.com/conorbronsdon"},"license":"MIT","stars":5088,"contributors":52,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T20:07:30Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Install the skill as a plugin in Claude or Cowork, or copy its file into a folder your agent can read.","Ask your agent to check or rewrite a piece of writing."],"officialDownload":null},{"slug":"agent-skill-index","name":"Agent Skill Index","repo":"heilcheng/awesome-agent-skills","githubUrl":"https://github.com/heilcheng/awesome-agent-skills","homepage":"http://agent-skill.co/","pageUrl":"/repo/agent-skill-index","category":"Learning resources","tagline":"A beginner-friendly directory of agent skills, small instruction files that teach AI assistants new tasks.","whatItDoes":["Agent skills are simple text files that teach an AI assistant how to do a specific job, like following a recipe card, without retraining it. This project is a community-curated directory of them, with guides on how they work.","Its maintainer says it focuses on skills made and used by real teams, rather than bulk-generated ones. Skills are grouped by topic, such as data, marketing, writing, development, education and creative work.","The skills work with assistants including Claude, Codex, GitHub Copilot, Gemini CLI and Cursor. There is also a website version of the directory."],"whoFor":"Anyone using AI assistants who wants ready-made skills, from beginners to developers.","useWithoutCoding":"Yes","keywords":["agent skills","claude skills","ai assistant","directory","prompts"],"rating":2,"tags":["New this week"],"owner":{"name":"fish enjoyer","githubUrl":"https://github.com/heilcheng"},"license":"MIT","stars":6288,"contributors":39,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:17:01Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Pick a skill from the directory.","Ask the assistant in plain English to use it."],"officialDownload":null},{"slug":"claude-code-tips","name":"Claude Code Tips","repo":"ykdojo/claude-code-tips","githubUrl":"https://github.com/ykdojo/claude-code-tips","homepage":null,"pageUrl":"/repo/claude-code-tips","category":"Learning resources","tagline":"A long list of practical tips for getting more out of Claude Code, Anthropic's AI coding tool.","whatItDoes":["This is a collection of tips from one experienced user of Claude Code, an AI coding assistant that works in the terminal. The tips range from basics, like useful commands and voice input, to advanced workflows, like running several sessions at once.","It also includes a custom status-line script, a way to run Claude Code inside a container (a sealed-off software environment), and a plug-in with skills for everyday developer tasks."],"whoFor":"Programmers who use Claude Code and want to work with it more effectively.","useWithoutCoding":"Yes","keywords":["claude code","tips","ai coding","productivity","guide"],"rating":2,"tags":["New this week"],"owner":{"name":"YK","githubUrl":"https://github.com/ykdojo"},"license":"NOASSERTION","stars":10248,"contributors":5,"monthlyDownloads":null,"lastPushedAt":"2026-09-25T03:50:54Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Read the tips on the project page, starting with the basics near the top."],"officialDownload":null},{"slug":"chatterbot","name":"ChatterBot","repo":"gunthercox/ChatterBot","githubUrl":"https://github.com/gunthercox/ChatterBot","homepage":"http://docs.chatterbot.us/","pageUrl":"/repo/chatterbot","category":"Developer building blocks","tagline":"A Python library for making simple chatbots that learn replies from example conversations.","whatItDoes":["ChatterBot is a tool for building chatbots. It learns how to reply by looking at collections of example conversations, picking the best response from what it has seen before.","A new bot starts knowing nothing. As it is trained on conversations, or chats with people, it gets better at choosing replies.","It isn't tied to one language and comes with training conversations in more than a dozen languages."],"whoFor":"Developers and students who want to build a simple, trainable chatbot in Python.","useWithoutCoding":"Developers only","keywords":["chatbot","python","conversation","bot","learn chatbot"],"rating":2,"tags":[],"owner":{"name":"Gunther Cox","githubUrl":"https://github.com/gunthercox"},"license":"BSD-3-Clause","stars":14521,"contributors":108,"monthlyDownloads":3498,"lastPushedAt":"2026-08-25T11:30:40Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"drawio-skill","name":"drawio-skill","repo":"Agents365-ai/drawio-skill","githubUrl":"https://github.com/Agents365-ai/drawio-skill","homepage":"https://agents365-ai.github.io/drawio-skill/","pageUrl":"/repo/drawio-skill","category":"Add-ons for AI coding tools","tagline":"Lets AI coding assistants turn descriptions and real code into editable draw.io diagrams.","whatItDoes":["drawio-skill is a skill for AI coding assistants such as Claude Code, Cursor and Codex. Describe a diagram in plain words and it creates an editable draw.io file, checks the picture and fixes overlaps.","It can also build diagrams from real sources, such as a codebase, cloud setup files or database designs, and keep them up to date as things change without losing your manual tweaks.","Diagrams can be exported to an interactive web page, a PowerPoint deck and other formats."],"whoFor":"Software developers and architects who want diagrams of their systems that stay accurate.","useWithoutCoding":"Developers only","keywords":["diagrams","architecture diagram","draw.io","flowchart","claude code skill"],"rating":2,"tags":["New this week"],"owner":{"name":"Agents365.ai","githubUrl":"https://github.com/Agents365-ai"},"license":"MIT","stars":10225,"contributors":16,"monthlyDownloads":null,"lastPushedAt":"2026-10-11T11:22:56Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Add the skill to your AI coding assistant.","Ask the assistant to draw a diagram."],"officialDownload":null},{"slug":"metagpt","name":"MetaGPT","repo":"FoundationAgents/MetaGPT","githubUrl":"https://github.com/FoundationAgents/MetaGPT","homepage":"https://atoms.dev/","pageUrl":"/repo/metagpt","category":"AI agents","tagline":"Turns a one-line idea into a software project using a team of AI agents playing company roles.","whatItDoes":["MetaGPT gives different jobs to several AI agents, like a small software company: a product manager, an architect, a project manager and engineers. You type a short request, such as \"Create a 2048 game\".","The agents then follow set procedures to produce user stories, requirements, designs, documents and code. Its makers sum up the idea as code equals procedures applied to a team.","It can be used from the command line or as a library inside other programs. It also includes a \"Data Interpreter\" that writes code to analyse data."],"whoFor":"Developers and researchers exploring how several AI agents can work together on bigger tasks.","useWithoutCoding":"Developers only","keywords":["multi-agent","ai software company","generate code","ai team"],"rating":2,"tags":["Research-backed"],"owner":{"name":"FoundationAgents","githubUrl":"https://github.com/FoundationAgents"},"license":"MIT","stars":70914,"contributors":148,"monthlyDownloads":3393,"lastPushedAt":"2026-01-21T10:12:33Z","sources":[{"site":"Research paper","title":"Self-Supervised Prompt Optimization (SPO)","url":"https://arxiv.org/pdf/2502.06855","date":"2025-02-01"},{"site":"Research paper","title":"Atom of Thoughts (AOT)","url":"https://arxiv.org/pdf/2502.12018","date":"2025-02-01"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Web browser"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Try the online demo on Hugging Face to see what it does.","To run it yourself, install it with Python and add your AI provider and API key to its settings file.","Describe what you want in one line, such as a simple game, and it builds the project."],"officialDownload":null},{"slug":"html-anything","name":"HTML Anything","repo":"nexu-io/html-anything","githubUrl":"https://github.com/nexu-io/html-anything","homepage":"https://open-design.ai/html-anything/","pageUrl":"/repo/html-anything","category":"Everyday tools","tagline":"An editor where your AI coding agent turns your writing into designed web pages, slides and posters.","whatItDoes":["HTML Anything is an editor that turns drafts into finished, designed pages in HTML, the language of web pages. Instead of styling things by hand, an AI coding agent on your computer writes the page for you.","It comes with 75 templates for things like magazine articles, slide decks, résumés, posters, social media cards, web prototypes, data reports and video storyboards.","Its makers say it needs no API key because it reuses tools you are already signed in to, such as Claude Code, Codex, Cursor or Gemini. Results can be exported to WeChat, X or Zhihu, or saved as HTML or PNG files."],"whoFor":"Writers and creators who already use an AI coding agent and want nicely designed pages without coding.","useWithoutCoding":"With some setup","keywords":["html editor","slides","posters","claude code","design"],"rating":2,"tags":["New this week"],"owner":{"name":"OpenDesign","githubUrl":"https://github.com/nexu-io"},"license":"Apache-2.0","stars":9168,"contributors":23,"monthlyDownloads":null,"lastPushedAt":"2026-10-13T02:33:42Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Install and sign in to one of the supported AI coding tools, such as Claude Code or Codex.","Open HTML Anything, pick a template and let your agent write the page."],"officialDownload":null},{"slug":"obsidian-skills","name":"Obsidian Skills","repo":"kepano/obsidian-skills","githubUrl":"https://github.com/kepano/obsidian-skills","homepage":null,"pageUrl":"/repo/obsidian-skills","category":"Add-ons for AI coding tools","tagline":"Teaches AI assistants how to work with Obsidian notes, canvases and databases correctly.","whatItDoes":["Obsidian is a popular note-taking app that stores notes as plain text files. These skills teach AI agents such as Claude Code, Codex and OpenCode how to create and edit Obsidian's special file types properly.","They cover Obsidian-style notes with links and callouts, Bases (database-like views), JSON Canvas boards, and the Obsidian command-line tool. There are also skills for pulling clean text out of web pages and filling templates from data."],"whoFor":"Obsidian users who want an AI assistant to help organize or write their notes.","useWithoutCoding":"With some setup","keywords":["obsidian","notes","markdown","second brain"],"rating":2,"tags":["Fast-rising"],"owner":{"name":"Steph Ango","githubUrl":"https://github.com/kepano"},"license":"MIT","stars":49742,"contributors":17,"monthlyDownloads":null,"lastPushedAt":"2026-09-15T14:43:57Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Install the skills through your AI assistant's plugin marketplace, or copy them into your Obsidian vault.","Restart your AI assistant so it picks up the new skills.","Ask it to create or edit notes, canvases or bases in your vault."],"officialDownload":null},{"slug":"awesome-gpt-image-2-youmind-openlab","name":"Awesome GPT Image 2 Prompts","repo":"YouMind-OpenLab/awesome-gpt-image-2","githubUrl":"https://github.com/YouMind-OpenLab/awesome-gpt-image-2","homepage":"https://youmind.com/gpt-image-2-prompts","pageUrl":"/repo/awesome-gpt-image-2-youmind-openlab","category":"Learning resources","tagline":"A large collection of example prompts, with preview pictures, for OpenAI's GPT Image 2 picture maker.","whatItDoes":["This is a curated list of prompts, the written instructions you give an AI, for OpenAI's GPT Image 2 image model. Each prompt comes with a preview of the picture it made.","Prompts are grouped by use, such as profile pictures, social posts, posters and product photos, and by style, such as watercolor, pixel art or 3D.","The README says the prompts were collected from the community, and points to a web gallery with search and filters."],"whoFor":"Anyone making pictures with GPT Image 2 who wants ideas and working examples.","useWithoutCoding":"Yes","keywords":["image prompts","gpt image","ai art","prompt ideas"],"rating":2,"tags":["New this week"],"owner":{"name":"YouMind OpenLab","githubUrl":"https://github.com/YouMind-OpenLab"},"license":"NOASSERTION","stars":10123,"contributors":3,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T15:04:27Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Browse the list or the linked gallery and pick a prompt you like.","Copy it into GPT Image 2 and adjust it to your needs."],"officialDownload":null},{"slug":"claude-ads","name":"Claude Ads","repo":"AgriciDaniel/claude-ads","githubUrl":"https://github.com/AgriciDaniel/claude-ads","homepage":null,"pageUrl":"/repo/claude-ads","category":"Add-ons for AI coding tools","tagline":"A Claude Code skill that reviews your ad accounts and tells you what to fix first.","whatItDoes":["Claude Ads is a free skill for Claude Code aimed at advertising work. You give it exports, screenshots or summaries from your ad accounts, and it reports what is working, what is broken and what to fix first.","It covers twelve ad platforms, including Google, Meta, YouTube, LinkedIn, TikTok and Amazon. It can also help plan budgets, draft ad copy and briefs, design tests and keep watch on spending.","Its makers say it reads your data and reports back, but doesn't change your accounts on its own. Every check is marked passed, failed, unknown or not applicable."],"whoFor":"Marketing agencies, consultants and in-house teams who run paid ads and use Claude Code.","useWithoutCoding":"With some setup","keywords":["ad audit","google ads","facebook ads","marketing","claude code skill"],"rating":2,"tags":["New this week"],"owner":{"name":"Agrici Daniel","githubUrl":"https://github.com/AgriciDaniel"},"license":"MIT","stars":10117,"contributors":2,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T01:35:42Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install the Claude Ads plugin inside Claude Code.","Run its setup and answer a few questions about your business and ad goals.","Share an export or screenshots of your ad account and ask for an audit."],"officialDownload":null},{"slug":"loopx","name":"LoopX","repo":"loopx-project/loopx","githubUrl":"https://github.com/loopx-project/loopx","homepage":"https://loopx-project.github.io/loopx/","pageUrl":"/repo/loopx","category":"AI agents","tagline":"Keeps AI agents working on long goals across many sessions, tracking plans, decisions and evidence.","whatItDoes":["LoopX sits on top of AI agents such as Codex and Claude Code. You give it a goal, and it breaks the work into tasks and keeps the agent moving over days and restarts.","It remembers goals, decisions and proof of finished work, and decides when to ask you for input. Its makers report that it scored better than plain Codex on their long-task benchmark.","A personal workspace dashboard shows what needs you, what is running and what is scheduled. The README says it is local-first, meaning your data is kept on your own computer."],"whoFor":"Developers and power users who run AI agents on long projects.","useWithoutCoding":"With some setup","keywords":["ai agents","long tasks","codex","claude code","project tracking"],"rating":2,"tags":["New this week"],"owner":{"name":"loopx-project","githubUrl":"https://github.com/loopx-project"},"license":"Apache-2.0","stars":6359,"contributors":119,"monthlyDownloads":3789,"lastPushedAt":"2026-10-19T01:41:52Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Install LoopX with Python's package installer and add its skills to your AI coding app.","Restart the app and give LoopX a goal in a conversation about your project.","Open its dashboard to see what is running and what needs you."],"officialDownload":null},{"slug":"pytorch-forecasting","name":"PyTorch Forecasting","repo":"sktime/pytorch-forecasting","githubUrl":"https://github.com/sktime/pytorch-forecasting","homepage":"https://pytorch-forecasting.readthedocs.io/","pageUrl":"/repo/pytorch-forecasting","category":"Developer building blocks","tagline":"A Python library for predicting future values from past data, such as sales or demand, with neural networks.","whatItDoes":["PyTorch Forecasting is a library for time series forecasting, which means predicting future values from data recorded over time.","It handles messy real-world data, comes with several modern neural network models, and shows how each prediction was made. It can train on ordinary processors or graphics cards.","It also helps tune model settings automatically and draw charts of predictions against real results."],"whoFor":"Data scientists and researchers who build forecasting models.","useWithoutCoding":"Developers only","keywords":["forecasting","time series","prediction","pytorch"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"sktime","githubUrl":"https://github.com/sktime"},"license":"MIT","stars":5001,"contributors":120,"monthlyDownloads":167124,"lastPushedAt":"2026-10-17T06:29:41Z","sources":[{"site":"Research paper","title":"Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting","url":"https://arxiv.org/abs/1912.09363","date":"2019-12-01"},{"site":"Research paper","title":"N-BEATS: Neural basis expansion analysis for interpretable time series forecasting","url":"https://arxiv.org/abs/1905.10437","date":"2019-05-01"},{"site":"Research paper","title":"N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting","url":"https://arxiv.org/abs/2201.12886","date":"2022-01-01"},{"site":"Research paper","title":"PatchTST: A Time Series is Worth 64 Words","url":"https://arxiv.org/abs/2211.14730","date":"2022-11-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"sonnet","name":"Sonnet","repo":"google-deepmind/sonnet","githubUrl":"https://github.com/google-deepmind/sonnet","homepage":"https://sonnet.dev/","pageUrl":"/repo/sonnet","category":"Developer building blocks","tagline":"A code library from DeepMind for building neural networks on top of TensorFlow.","whatItDoes":["Sonnet is a programming library from researchers at DeepMind. It helps people build neural networks, the layered models behind modern AI, using Google's TensorFlow toolkit.","It is built around simple, reusable pieces called modules. It ships with common building blocks but leaves training choices to you.","Example notebooks can be tried in Google Colab, a free online coding environment."],"whoFor":"Machine learning researchers and developers who work with TensorFlow.","useWithoutCoding":"Developers only","keywords":["neural networks","tensorflow","deepmind","machine learning library"],"rating":2,"tags":["New this week"],"owner":{"name":"Google DeepMind","githubUrl":"https://github.com/google-deepmind"},"license":"Apache-2.0","stars":9976,"contributors":64,"monthlyDownloads":13271,"lastPushedAt":"2026-09-29T09:15:06Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"easyr1","name":"EasyR1","repo":"hiyouga/EasyR1","githubUrl":"https://github.com/hiyouga/EasyR1","homepage":"https://verl.readthedocs.io/","pageUrl":"/repo/easyr1","category":"Training & fine-tuning","tagline":"A framework for training language and vision-language AI models to reason better with reinforcement learning.","whatItDoes":["EasyR1 trains AI models with reinforcement learning, where a model improves by being rewarded for good answers. It's a fork of the veRL project, extended to support vision-language models that understand both images and text.","It supports models like Llama, Qwen and Qwen-VL, several popular training methods such as GRPO, and lighter LoRA training.","It needs powerful graphics cards. The README's table shows even the smallest models need at least one GPU with lots of memory."],"whoFor":"AI researchers and engineers training reasoning models.","useWithoutCoding":"Developers only","keywords":["reinforcement learning","fine-tuning","grpo","reasoning","vision language"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"Yaowei Zheng","githubUrl":"https://github.com/hiyouga"},"license":"Apache-2.0","stars":5198,"contributors":49,"monthlyDownloads":null,"lastPushedAt":"2026-09-19T03:57:02Z","sources":[{"site":"Research paper","title":"HybridFlow (veRL) paper","url":"https://arxiv.org/abs/2409.19256","date":"2024-09-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Server"],"hardware":"Made for servers or data centres","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"xberg","name":"Xberg","repo":"xberg-io/xberg","githubUrl":"https://github.com/xberg-io/xberg","homepage":"https://docs.xberg.io/","pageUrl":"/repo/xberg","category":"Documents & knowledge","tagline":"Pulls clean text, tables and details out of PDFs, images, office files, audio and more.","whatItDoes":["Xberg is an engine that reads many kinds of files, including PDFs, scanned images, spreadsheets, emails, e-books, web pages and audio, and turns them into clean text, tables and structured data. It can read text from images (OCR) and transcribe speech.","It is often used to prepare documents for AI search and question-answering. Programmers can use it from many languages, a command-line tool, a web API or as an MCP server for AI assistants. The README says it is the next version of a project called Kreuzberg."],"whoFor":"Developers who need to extract content from lots of different documents, often to feed into AI apps.","useWithoutCoding":"Developers only","keywords":["pdf to text","document extraction","ocr","pdf to markdown","tables from pdf"],"rating":2,"tags":["New this week"],"owner":{"name":"Xberg.io ","githubUrl":"https://github.com/xberg-io"},"license":"MIT","stars":9426,"contributors":68,"monthlyDownloads":102060,"lastPushedAt":"2026-10-18T17:10:27Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"peekaboo","name":"Peekaboo","repo":"openclaw/Peekaboo","githubUrl":"https://github.com/openclaw/Peekaboo","homepage":"http://www.peekaboo.boo/","pageUrl":"/repo/peekaboo","category":"AI agents","tagline":"A Mac tool that lets AI see your screen, take screenshots and click and type in apps for you.","whatItDoes":["Peekaboo is a command-line tool and menu-bar app for macOS. It can capture screenshots, read the layout of any app, and control apps by clicking, typing and pressing keys.","Its agent mode turns a plain request, like \"open Safari and search for something\", into a series of steps. It can also be shared with AI tools like Codex, Claude Code or Cursor through MCP.","It needs macOS 15 or later and your permission for screen recording and accessibility control. The agent needs a configured AI model provider, local or online."],"whoFor":"Mac users and developers who want AI to automate tasks in their apps.","useWithoutCoding":"With some setup","keywords":["mac automation","screenshot","computer use","mcp"],"rating":2,"tags":["New this week"],"owner":{"name":"openclaw","githubUrl":"https://github.com/openclaw"},"license":"MIT","stars":5337,"contributors":47,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T22:28:02Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Grant Screen Recording and Accessibility permission when asked.","Set up an AI model provider so its agent can carry out tasks for you."],"officialDownload":"https://github.com/openclaw/Peekaboo/releases"},{"slug":"orange","name":"Orange","repo":"biolab/orange3","githubUrl":"https://github.com/biolab/orange3","homepage":"https://orangedatamining.com/","pageUrl":"/repo/orange","category":"Data science tools","tagline":"A visual app for exploring data and building machine-learning models by connecting blocks, without coding.","whatItDoes":["Orange is a data mining and visualization program. Instead of writing code, you build a workflow by dragging blocks onto a canvas and linking them: load data, clean it, chart it, and train machine-learning models such as decision trees.","Its makers say it needs no programming or deep maths knowledge, and it is designed for beginners and experts alike. Add-ons extend it for more specialized tasks."],"whoFor":"Students, teachers, researchers and analysts who want to explore data and machine learning visually.","useWithoutCoding":"Yes","keywords":["data analysis","machine learning","visual programming","data mining","charts"],"rating":2,"tags":["New this week"],"owner":{"name":"Bioinformatics Laboratory","githubUrl":"https://github.com/biolab"},"license":"NOASSERTION","stars":5725,"contributors":134,"monthlyDownloads":26292,"lastPushedAt":"2026-10-13T11:42:17Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Download the Orange installer for Windows or Mac from the project's website.","Open Orange, drag a data block onto the canvas and link it to charts or models."],"officialDownload":null},{"slug":"kun","name":"Kun","repo":"KunAgent/Kun","githubUrl":"https://github.com/KunAgent/Kun","homepage":"https://www.kun-agent.com/","pageUrl":"/repo/kun","category":"AI agents","tagline":"A desktop AI workspace where agents help you write code, work on documents and research, keeping data on your computer.","whatItDoes":["Kun is a desktop app that brings coding, document work and AI agent chats into one place. You give it a project folder or some files and a task, and the agent works on it, asking for your approval before it acts.","Its makers say conversations, memory and settings stay on your computer; when you use an online model, only the needed context is sent to that provider. You connect your own model, with presets for DeepSeek, Kimi, Qwen, Ollama and others.","It also has plug-ins, reminders, scheduled tasks and a text-based version for the terminal. The README is in Chinese."],"whoFor":"People who want a local-first AI assistant for coding, writing and research.","useWithoutCoding":"Yes","keywords":["ai workspace","desktop ai agent","local first","coding assistant","research assistant"],"rating":2,"tags":["New this week"],"owner":{"name":"Kun","githubUrl":"https://github.com/KunAgent"},"license":"NOASSERTION","stars":6321,"contributors":37,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:36:17Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Download the installer for your computer from the project's releases page.","On first launch, connect a model by entering an API key or signing in to an existing subscription, or choose a local model.","Open a project folder or drop in some documents and give the agent a specific task."],"officialDownload":"https://github.com/KunAgent/Kun/releases"},{"slug":"speechrecognition","name":"SpeechRecognition","repo":"Uberi/speech_recognition","githubUrl":"https://github.com/Uberi/speech_recognition","homepage":"https://pypi.python.org/pypi/SpeechRecognition/","pageUrl":"/repo/speechrecognition","category":"Speech & audio","tagline":"A Python library that turns speech into text using many different engines, online or offline.","whatItDoes":["SpeechRecognition is a code library for Python. It gives programmers one simple way to turn speech into text, from a microphone or an audio file.","Behind the scenes it can use many engines: some work offline on your computer, such as Whisper, Vosk and CMU Sphinx, while others are online services from Google, Microsoft, IBM, OpenAI and others.","The repository includes examples for listening to a microphone, transcribing files and more."],"whoFor":"Python developers adding voice input or transcription to their programs.","useWithoutCoding":"Developers only","keywords":["speech to text","voice recognition","python","microphone","transcribe"],"rating":2,"tags":["New this week"],"owner":{"name":"Anthony Zhang","githubUrl":"https://github.com/Uberi"},"license":"BSD-3-Clause","stars":8995,"contributors":62,"monthlyDownloads":null,"lastPushedAt":"2026-09-02T00:04:17Z","sources":[{"site":"Hacker News","title":"ButterDB","url":"https://news.ycombinator.com/item?id=8123450","date":"2014-08-01"},{"site":"Hacker News","title":"Show HN: Vex, a new way to run things in Python's virtualenvs","url":"https://news.ycombinator.com/item?id=7987259","date":"2014-07-04"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"aiml-interviews","name":"AIMLInterviews","repo":"alirezadir/AIMLInterviews","githubUrl":"https://github.com/alirezadir/AIMLInterviews","homepage":"https://www.aimlinterviews.io/","pageUrl":"/repo/aiml-interviews","category":"Learning resources","tagline":"A study guide for job interviews in AI and machine learning at big tech companies.","whatItDoes":["AIMLInterviews is a guide to preparing for technical interviews for AI and machine learning jobs, especially at large tech companies.","It is organised in chapters: coding questions, machine learning coding, core ideas in classic, generative and agentic AI, system design, and behavioural interviews. The author says it is based on personal experience.","It also includes an MCP server that can turn an AI assistant into an interview coach, offering hints and reviewing your answers."],"whoFor":"Engineers and scientists preparing for AI or machine learning job interviews.","useWithoutCoding":"Yes","keywords":["interview prep","machine learning jobs","ai career","system design"],"rating":2,"tags":["New this week"],"owner":{"name":"Alireza Dirafzoon","githubUrl":"https://github.com/alirezadir"},"license":"MIT","stars":9882,"contributors":12,"monthlyDownloads":null,"lastPushedAt":"2026-10-08T21:58:28Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the guide and start with the chapter that matches your next interview round."],"officialDownload":null},{"slug":"flair","name":"Flair","repo":"flairNLP/flair","githubUrl":"https://github.com/flairNLP/flair","homepage":"https://flairnlp.github.io/flair/","pageUrl":"/repo/flair","category":"Developer building blocks","tagline":"A Python library for finding names, places and sentiment in text, in many languages.","whatItDoes":["Flair is a toolkit for natural language processing, getting computers to understand text. It comes with ready-trained models that can spot names of people, places and organisations, judge whether text is positive or negative, and tag parts of speech, in many languages and with special support for biomedical text.","It also lets researchers combine different ways of turning words into numbers and train their own models. It was developed at Humboldt University of Berlin and others."],"whoFor":"Developers and researchers working with text.","useWithoutCoding":"Developers only","keywords":["named entity recognition","sentiment analysis","nlp","text analysis"],"rating":2,"tags":["Research-backed"],"owner":{"name":"flair","githubUrl":"https://github.com/flairNLP"},"license":"NOASSERTION","stars":14393,"contributors":278,"monthlyDownloads":58345,"lastPushedAt":"2025-10-27T18:11:31Z","sources":[{"site":"Research paper","title":"FLERT: Document-Level Features for Named Entity Recognition","url":"https://arxiv.org/abs/2011.06993","date":"2020-11-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"awesome-prompt-engineering","name":"Awesome Prompt Engineering","repo":"promptslab/Awesome-Prompt-Engineering","githubUrl":"https://github.com/promptslab/Awesome-Prompt-Engineering","homepage":"https://discord.gg/m88xfYMbK6","pageUrl":"/repo/awesome-prompt-engineering","category":"Learning resources","tagline":"A hand-picked collection of papers, tools, courses and guides on writing good instructions for AI models.","whatItDoes":["Prompt engineering means writing instructions (prompts) that get better results from AI models like ChatGPT. This list gathers resources on that skill and on context engineering, which is about giving AI the right background information.","It covers research papers, tools, AI coding assistants, models, datasets, books and courses, and has a suggested path for beginners."],"whoFor":"Anyone who wants to learn to use AI models more effectively, from beginners to researchers.","useWithoutCoding":"Yes","keywords":["prompt engineering","learn prompts","chatgpt tips","ai course","awesome list"],"rating":2,"tags":["New this week"],"owner":{"name":"PromptsLab","githubUrl":"https://github.com/promptslab"},"license":"Apache-2.0","stars":6379,"contributors":36,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T10:48:38Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the project page and follow the Start Here section for beginners."],"officialDownload":null},{"slug":"unstract","name":"Unstract","repo":"Zipstack/unstract","githubUrl":"https://github.com/Zipstack/unstract","homepage":"https://unstract.com/","pageUrl":"/repo/unstract","category":"Documents & knowledge","tagline":"Uses AI to pull neat, structured data out of messy documents like PDFs, scans and images.","whatItDoes":["Unstract reads documents such as PDFs, images and scans and pulls out the information you ask for. You describe what you want in plain language, and it returns tidy data in JSON, a common format for structured data.","You can set it up as an API (a doorway other programs call) or as a pipeline that takes files from a folder and loads results into a database. It also connects to AI agents and to the n8n automation tool.","It works with many AI providers, including OpenAI, Anthropic and local models through Ollama. There is also a paid enterprise version."],"whoFor":"Teams in finance, insurance, healthcare and compliance that process lots of documents.","useWithoutCoding":"With some setup","keywords":["document extraction","pdf to data","invoices","ocr","automation"],"rating":2,"tags":["New this week"],"owner":{"name":"Zipstack","githubUrl":"https://github.com/Zipstack"},"license":"AGPL-3.0","stars":7283,"contributors":30,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T12:44:36Z","sources":[{"site":"Hacker News","title":"Show HN: Unstract(AGPL) – Launch LLM-powered APIs to structure unstructured docs","url":"https://news.ycombinator.com/item?id=39837654","date":"2024-03-27"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Linux","Mac","Server"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Docker on a Linux or Mac computer with at least 8 GB of memory.","Download the project and run its platform script.","Open the local web page, log in and describe the data you want to extract."],"officialDownload":null},{"slug":"ltx-2","name":"LTX-2","repo":"Lightricks/LTX-2","githubUrl":"https://github.com/Lightricks/LTX-2","homepage":"https://ltx.io/","pageUrl":"/repo/ltx-2","category":"Images & video","tagline":"An open AI model that generates video with matching sound from text or images.","whatItDoes":["LTX-2 is an AI model from Lightricks that creates video together with synchronised audio, from a text description or a starting image.","It offers different modes that trade speed for quality, and it can produce high-resolution results. The code and model files are published openly to download and run.","Running it means downloading large model files and using a powerful graphics card."],"whoFor":"Developers and researchers who want to generate video with sound on their own powerful hardware.","useWithoutCoding":"Developers only","keywords":["video generation","text to video","ai video","audio","generative"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"Lightricks","githubUrl":"https://github.com/Lightricks"},"license":"NOASSERTION","stars":9787,"contributors":8,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T17:41:34Z","sources":[{"site":"Research paper","title":"LTX-2","url":"https://arxiv.org/abs/2601.03233","date":"2026-01-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Windows","Mac"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"helix-db","name":"HelixDB","repo":"HelixDB/helix-db","githubUrl":"https://github.com/HelixDB/helix-db","homepage":"https://helix-db.com/","pageUrl":"/repo/helix-db","category":"Running AI at scale","tagline":"An open-source database that stores graphs, vectors and text search together.","whatItDoes":["HelixDB is a database that combines three things in one engine: a graph of connected entities, vector search that finds items by meaning, and keyword text search.","This mix is useful for AI apps that need to store entities, relationships, embeddings and text and query them together.","You can query it from Rust, TypeScript, Go or Python, and run a local instance for development."],"whoFor":"Developers building AI apps that need connected data and meaning-based search in one place.","useWithoutCoding":"Developers only","keywords":["database","graph database","vector search","rag","search"],"rating":2,"tags":["New this week"],"owner":{"name":"HelixDB","githubUrl":"https://github.com/HelixDB"},"license":"Apache-2.0","stars":6213,"contributors":37,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T09:00:41Z","sources":[{"site":"Hacker News","title":"Show HN: HelixDB – Open-source vector-graph database for AI applications (Rust)","url":"https://news.ycombinator.com/item?id=43975423","date":"2025-05-13"},{"site":"Hacker News","title":"Show HN: HelixDB – A graph database built on object storage","url":"https://news.ycombinator.com/item?id=48478148","date":"2026-06-10"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"deepchem","name":"DeepChem","repo":"deepchem/deepchem","githubUrl":"https://github.com/deepchem/deepchem","homepage":"https://deepchem.io/","pageUrl":"/repo/deepchem","category":"Developer building blocks","tagline":"Open-source tools for using deep learning in drug discovery, chemistry, materials science and biology.","whatItDoes":["DeepChem is a Python toolkit that helps scientists apply deep learning, a kind of AI, to problems in drug discovery, materials science, quantum chemistry and biology.","It provides ready-made building blocks for working with scientific data such as molecules, and works with popular AI frameworks like TensorFlow, PyTorch and JAX.","The project offers tutorials, documentation and a community forum."],"whoFor":"Scientists, researchers and students who apply AI to chemistry and life sciences.","useWithoutCoding":"Developers only","keywords":["drug discovery","chemistry ai","biology","molecules","science"],"rating":2,"tags":["New this week"],"owner":{"name":"deepchem","githubUrl":"https://github.com/deepchem"},"license":"MIT","stars":7069,"contributors":262,"monthlyDownloads":21103,"lastPushedAt":"2026-08-20T19:01:34Z","sources":[{"site":"Hacker News","title":"Deepchem – Democratizing Deep-Learning for Drug Discovery","url":"https://news.ycombinator.com/item?id=32156356","date":"2022-07-19"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"react-grab","name":"React Grab","repo":"aidenybai/react-grab","githubUrl":"https://github.com/aidenybai/react-grab","homepage":"https://react-grab.com/","pageUrl":"/repo/react-grab","category":"Add-ons for AI coding tools","tagline":"Copy any part of a web app's screen and give your AI coding agent the exact code behind it.","whatItDoes":["React Grab is a small developer tool for apps built with React, a popular way of building websites. You hover over any button, box or other element in your app and press copy.","What gets copied isn't just the look: it includes where that element lives in the source code. You paste it into your AI coding agent, which then knows exactly what to change.","Its makers say agents work faster and more accurately this way. Developers can also build their own version using its selection tools."],"whoFor":"Web developers using React who work with AI coding assistants.","useWithoutCoding":"Developers only","keywords":["react","ui","coding agent","copy element","frontend"],"rating":2,"tags":["Widely used","New this week"],"owner":{"name":"Aiden Bai","githubUrl":"https://github.com/aidenybai"},"license":"MIT","stars":7670,"contributors":20,"monthlyDownloads":5833174,"lastPushedAt":"2026-08-22T11:34:22Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"whisperlivekit","name":"WhisperLiveKit","repo":"QuentinFuxa/WhisperLiveKit","githubUrl":"https://github.com/QuentinFuxa/WhisperLiveKit","homepage":null,"pageUrl":"/repo/whisperlivekit","category":"Speech & audio","tagline":"Live speech-to-text you run yourself, with speaker labels and translation as people talk.","whatItDoes":["WhisperLiveKit turns speech into text in real time, as someone is speaking. You run it on your own computer or server and open a web page to start talking.","Its makers explain that normal Whisper models are built for complete recordings, so this project uses newer research methods to handle live audio without cutting words off. It can also tell speakers apart and translate between many languages.","It offers web connections that copy the style of popular transcription services, so other apps can use it, and it supports several users at once."],"whoFor":"Developers and tinkerers who want private, live transcription for meetings, captions or apps.","useWithoutCoding":"With some setup","keywords":["live transcription","real time captions","speech to text","speaker labels","translation"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"Quentin Fuxa","githubUrl":"https://github.com/QuentinFuxa"},"license":"Apache-2.0","stars":11153,"contributors":51,"monthlyDownloads":6366,"lastPushedAt":"2026-10-01T04:24:41Z","sources":[{"site":"Research paper","title":"Simul-Whisper (simultaneous Whisper)","url":"https://arxiv.org/abs/2406.10052","date":"2024-06-01"},{"site":"Research paper","title":"SimulStreaming","url":"https://arxiv.org/abs/2506.17077","date":"2025-06-01"},{"site":"Research paper","title":"AlignAtt policy","url":"https://arxiv.org/abs/2305.11408","date":"2023-05-01"},{"site":"Research paper","title":"Streaming Sortformer (speaker diarization)","url":"https://arxiv.org/abs/2507.18446","date":"2025-07-01"},{"site":"Research paper","title":"NLLB (No Language Left Behind)","url":"https://arxiv.org/abs/2207.04672","date":"2022-07-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Server"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install WhisperLiveKit with Python's package installer.","Start the server, choosing a model and your language.","Open the local web page it shows and start talking."],"officialDownload":null},{"slug":"kotaemon","name":"kotaemon","repo":"Cinnamon/kotaemon","githubUrl":"https://github.com/Cinnamon/kotaemon","homepage":"https://cinnamon.github.io/kotaemon/","pageUrl":"/repo/kotaemon","category":"Documents & knowledge","tagline":"Chat with your documents and get answers with citations that show exactly where the information came from.","whatItDoes":["kotaemon is an app for asking questions about your own documents. It uses RAG (retrieval-augmented generation): the AI first looks up the relevant passages in your files, then writes an answer based on them.","Answers come with detailed citations, and you can see the highlighted source right in a built-in PDF viewer. It can handle documents with figures and tables, break complex questions into smaller ones, and supports several users with private or shared file collections.","It works with online AI providers such as OpenAI and Azure, or models running on your own computer through Ollama. Developers can also use it as a base for building their own document question-answering tools."],"whoFor":"People and teams who want to search and question their own documents, and developers building document chatbots.","useWithoutCoding":"With some setup","keywords":["chat with pdf","documents","rag","citations","knowledge base"],"rating":2,"tags":[],"owner":{"name":"Cinnamon","githubUrl":"https://github.com/Cinnamon"},"license":"Apache-2.0","stars":25809,"contributors":39,"monthlyDownloads":null,"lastPushedAt":"2026-07-14T16:53:59Z","sources":[{"site":"Hacker News","title":"Kotaemon: An open-source RAG-based tool for chatting with your documents","url":"https://news.ycombinator.com/item?id=42571272","date":"2025-01-02"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Mac","Server","Web browser"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Try the live demo online, or download the latest release and follow the User Guide.","Open the app in your web browser and sign in.","Choose an AI model, online or local, then upload documents and ask questions."],"officialDownload":"https://github.com/Cinnamon/kotaemon/releases/latest"},{"slug":"autoclip","name":"AutoClip","repo":"zhouxiaoka/autoclip","githubUrl":"https://github.com/zhouxiaoka/autoclip","homepage":"https://zhouxiaoka.github.io/autoclip_intro/","pageUrl":"/repo/autoclip","category":"Images & video","tagline":"Paste a link to a long video and it cuts short clips with subtitles, covers and post text for social media.","whatItDoes":["AutoClip is a desktop app that turns long videos, such as podcasts, interviews and lectures, into short clips. You paste a link and pick a platform, such as TikTok, Instagram Reels, YouTube Shorts or Chinese apps like Douyin.","It picks the best moments, frames the person speaking and adds subtitles. It also makes a cover image, a title and post text for each clip. You can fine-tune clips in a built-in editor.","The README says editing and rendering happen on your computer. The software is free, but cloud AI models are paid per use. You can use local transcription and analysis instead, and it explains what is sent online when you choose cloud options."],"whoFor":"Podcasters, creators and social media managers who want to repurpose long videos into short clips.","useWithoutCoding":"Yes","keywords":["video clips","shorts","tiktok","podcast","subtitles","video editing"],"rating":2,"tags":["New this week"],"owner":{"name":"Kris K","githubUrl":"https://github.com/zhouxiaoka"},"license":"MIT","stars":9517,"contributors":5,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:48:44Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the desktop app for Mac (Apple Silicon) or Windows from the project's releases page.","Choose a cloud AI model or local options in the settings.","Paste a video link, pick a platform and let it make the clips."],"officialDownload":"https://github.com/zhouxiaoka/autoclip/releases"},{"slug":"tick-stock-panel","name":"TSP (Tick Stock Panel)","repo":"shy3130/tick-stock-panel","githubUrl":"https://github.com/shy3130/tick-stock-panel","homepage":"https://tsp.shy313.com/","pageUrl":"/repo/tick-stock-panel","category":"Finance & trading","tagline":"A self-hosted workspace for building, testing and monitoring stock strategies for China's A-share market, with an AI assistant.","whatItDoes":["TSP is a self-hosted tool for quantitative trading research on China's A-share stock market. You build your own strategies, test them on past data and set up alerts for unusual market moves.","An AI chat assistant answers questions about the data in plain language and can help generate strategies and analyse individual stocks. Other AI tools can connect to it through an API and MCP.","The README states it is for learning and research only, is not investment software, and does not offer AI stock picks."],"whoFor":"Chinese-speaking investors and programmers researching their own stock strategies.","useWithoutCoding":"With some setup","keywords":["stock analysis","backtesting","quant trading","a-shares","stock alerts"],"rating":2,"tags":["New this week"],"owner":{"name":"wshy","githubUrl":"https://github.com/shy3130"},"license":"MIT","stars":6036,"contributors":37,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:56:07Z","sources":[],"checkedByPerson":true,"cost":null,"runsOn":["Server"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"agentic-bug-hunter","name":"Agentic Bug Hunter","repo":"awarexone/Agentic-Bug-Hunter","githubUrl":"https://github.com/awarexone/Agentic-Bug-Hunter","homepage":"https://awarexone.com/","pageUrl":"/repo/agentic-bug-hunter","category":"AI agents","tagline":"An AI tool that looks for security weaknesses in websites and writes reports for bug bounty programmes.","whatItDoes":["Bug bounty programmes pay people to find and report security flaws in a company's systems, with permission. Agentic Bug Hunter uses AI to help with this: it maps a target, tests it for weaknesses, checks its findings and writes a report ready to submit.","It remembers patterns from earlier targets and can pick up where a session left off. It works as a Claude Code plug-in or as a standalone terminal tool with your choice of AI provider, including free local models through Ollama.","Fuller scanning uses several well-known outside security tools, which are installed separately."],"whoFor":"Security researchers taking part in authorised bug bounty programmes.","useWithoutCoding":"Developers only","keywords":["bug bounty","security testing","vulnerability scanner","ethical hacking"],"rating":2,"tags":["New this week"],"owner":{"name":"AwareXone","githubUrl":"https://github.com/awarexone"},"license":"MIT","stars":5372,"contributors":43,"monthlyDownloads":null,"lastPushedAt":"2026-10-09T16:46:34Z","sources":[],"checkedByPerson":true,"cost":"Free, but needs an AI account","runsOn":["Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"needle","name":"Needle","repo":"cactus-compute/needle","githubUrl":"https://github.com/cactus-compute/needle","homepage":"https://cactuscompute.com/","pageUrl":"/repo/needle","category":"AI models & research","tagline":"A very small AI model that lets phones, gadgets and smart-home devices understand requests and take actions.","whatItDoes":["Needle is a tiny AI model, only a few megabytes, built to run on phones, wearables, robots, cars and other small devices. Instead of chatting, it focuses on turning what a person says into actions: it picks which of an app's functions to use and fills in the details.","It can also pull structured details out of messy text, such as an invoice or a booking, and turn sentences into numbers that help an app search and match things on the device. A companion speech-to-text model called Whistle lets it take voice input.","Its makers say it beats much larger models at these narrow tasks. Developers can fine-tune it on their own app's functions, either on their own computer or through the makers' paid platform."],"whoFor":"App and device makers who want voice or text commands to work directly on small devices, without a big cloud model.","useWithoutCoding":"Developers only","keywords":["on-device ai","voice commands","smart home","tiny model","offline"],"rating":2,"tags":["New this week"],"owner":{"name":"Cactus Compute, Inc.","githubUrl":"https://github.com/cactus-compute"},"license":"Apache-2.0","stars":14086,"contributors":35,"monthlyDownloads":20411,"lastPushedAt":"2026-10-18T23:52:18Z","sources":[{"site":"Hacker News","title":"Show HN: Needle: We Distilled Gemini Tool Calling into a 26M Model","url":"https://news.ycombinator.com/item?id=48111896","date":"2026-05-12"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Phone","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"nndl","name":"Neural Networks and Deep Learning (nndl)","repo":"nndl/nndl","githubUrl":"https://github.com/nndl/nndl","homepage":"https://nndl.ai/","pageUrl":"/repo/nndl","category":"Learning resources","tagline":"Free Chinese-language textbooks on neural networks and deep learning, from beginner to advanced.","whatItDoes":["This repository hosts free e-book versions of two Chinese textbooks on neural networks and deep learning by Qiu Xipeng, plus tables of contents and a place to report errors.","The general edition uses stories and everyday comparisons, with fewer formulas, and goes up to large language models, AI agents and AI safety. The second edition is a full course text covering the theory, math and algorithms, with math appendices.","Both books are written in Chinese. A companion repository offers hands-on exercises using PyTorch."],"whoFor":"Chinese-reading students and self-learners, from curious beginners to university-level learners.","useWithoutCoding":"Yes","keywords":["textbook","deep learning","neural networks","free book","chinese"],"rating":2,"tags":[],"owner":{"name":"蒲公英书系列 · NNDL","githubUrl":"https://github.com/nndl"},"license":null,"stars":19443,"contributors":9,"monthlyDownloads":null,"lastPushedAt":"2026-09-06T05:53:27Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Choose the general edition for an intuitive start, or the second edition for full theory.","Download the free PDF from the project's website."],"officialDownload":"https://nndl.ai/"},{"slug":"steel-browser","name":"Steel Browser","repo":"steel-dev/steel-browser","githubUrl":"https://github.com/steel-dev/steel-browser","homepage":"https://steel.dev/","pageUrl":"/repo/steel-browser","category":"AI agents","tagline":"A ready-made web browser service that AI agents and apps can control to use websites.","whatItDoes":["AI agents often need to visit websites, click around and read pages. Steel Browser is a browser you run as a service that programs can control. It handles the hard parts: starting browsers, keeping logins and cookies between steps, and cleaning up afterwards.","It can also turn pages into simple text, screenshots or PDFs, and has a viewer for watching and debugging sessions. You can run it yourself with Docker or use the makers' paid Steel Cloud service. The README says it is in public beta."],"whoFor":"Developers building AI agents or automation tools that need to use the web.","useWithoutCoding":"Developers only","keywords":["browser automation","web agent","headless browser","scraping","puppeteer"],"rating":2,"tags":["New this week"],"owner":{"name":"Steel","githubUrl":"https://github.com/steel-dev"},"license":"Apache-2.0","stars":7833,"contributors":25,"monthlyDownloads":null,"lastPushedAt":"2026-10-13T15:37:05Z","sources":[{"site":"Hacker News","title":"Show HN: Steel.dev – An open-source browser API for AI agents and apps","url":"https://news.ycombinator.com/item?id=42245573","date":"2024-11-26"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"harness","name":"Harness","repo":"revfactory/harness","githubUrl":"https://github.com/revfactory/harness","homepage":"https://revfactory.github.io/harness/","pageUrl":"/repo/harness","category":"Add-ons for AI coding tools","tagline":"A Claude Code plugin that designs a team of specialised AI agents and skills for your project.","whatItDoes":["Harness is a plugin for Claude Code, Anthropic's AI coding assistant. You describe your project or field in a sentence, and it designs a team of AI agents with set roles, plus the skills they use.","It picks how the agents should work together, for example in a pipeline or with one supervisor, and adds checks to filter out answers that look right but are wrong.","A second command improves the team over time based on your feedback."],"whoFor":"Developers who use Claude Code and want to set up multi-agent workflows.","useWithoutCoding":"Developers only","keywords":["claude code plugin","agent team","multi-agent","ai workflow"],"rating":2,"tags":["New this week"],"owner":{"name":"Minho Hwang","githubUrl":"https://github.com/revfactory"},"license":"Apache-2.0","stars":9201,"contributors":7,"monthlyDownloads":null,"lastPushedAt":"2026-09-28T05:19:20Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Add the Harness plugin from its marketplace inside Claude Code.","Ask Claude Code to build a harness for your project."],"officialDownload":null},{"slug":"guardrails","name":"Guardrails","repo":"guardrails-ai/guardrails","githubUrl":"https://github.com/guardrails-ai/guardrails","homepage":"https://www.guardrailsai.com/docs","pageUrl":"/repo/guardrails","category":"AI testing & safety","tagline":"A Python library that checks what goes into and comes out of AI models to catch problems and risks.","whatItDoes":["Guardrails helps developers make AI apps more reliable. It places checks, called guards, around an AI model to spot risky or unwanted content in what users send and what the model replies.","Ready-made checks, called validators, cover things like toxic language, mentions of competitors or text that doesn't match a required pattern. Several can be combined. It can also help get structured data out of AI models.","The README notes that validators are moving to ordinary Python packages and that the hosted remote checking service is being discontinued."],"whoFor":"Developers who build apps on top of AI models and need safety and quality checks.","useWithoutCoding":"Developers only","keywords":["ai safety","llm validation","content filter","guardrails","structured output"],"rating":2,"tags":["New this week"],"owner":{"name":"Guardrails AI","githubUrl":"https://github.com/guardrails-ai"},"license":"Apache-2.0","stars":7534,"contributors":79,"monthlyDownloads":101253,"lastPushedAt":"2026-10-15T02:25:34Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"kimi-k3-in-c","name":"kimi-k3-in-c","repo":"FareedKhan-dev/kimi-k3-in-c","githubUrl":"https://github.com/FareedKhan-dev/kimi-k3-in-c","homepage":"https://medium.com/@fareedkhandev/building-kimi-k3-in-c-to-run-a-2-8t-model-on-consumer-hardware-a5792cbf3b59","pageUrl":"/repo/kimi-k3-in-c","category":"Run AI on your computer","tagline":"Runs the giant Kimi K3 AI model on one ordinary computer, slowly, using about 8 GB of memory.","whatItDoes":["This project is a small program written in the C language that runs Kimi K3, a very large open AI model, without a graphics card or extra software libraries.","Instead of loading the whole model into memory, it reads the parts it needs from a fast disk each step. The author says the answers are the same on small and large machines; more memory only makes it faster.","It is slow: the README reports tens of seconds per word-piece on a laptop. The model files also take up about 1.5 terabytes of disk space."],"whoFor":"Curious engineers and researchers who want to see how a huge model can run on modest hardware.","useWithoutCoding":"Developers only","keywords":["run big ai model locally","cpu inference","kimi","no gpu"],"rating":2,"tags":["New this week"],"owner":{"name":"Fareed Khan","githubUrl":"https://github.com/FareedKhan-dev"},"license":"Apache-2.0","stars":9098,"contributors":10,"monthlyDownloads":null,"lastPushedAt":"2026-10-02T04:51:44Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"nvidia-dali","name":"NVIDIA DALI","repo":"NVIDIA/DALI","githubUrl":"https://github.com/NVIDIA/DALI","homepage":"https://docs.nvidia.com/deeplearning/dali/user-guide/docs/index.html","pageUrl":"/repo/nvidia-dali","category":"Running AI at scale","tagline":"Speeds up AI training by loading and preparing images, video and audio on the graphics card.","whatItDoes":["Before training, data must be loaded, decoded, cropped and resized, and doing this on the main processor can slow everything down. DALI moves this work onto NVIDIA graphics cards.","It works with PyTorch, TensorFlow and PaddlePaddle."],"whoFor":"Engineers training or running deep-learning models at speed.","useWithoutCoding":"Developers only","keywords":["gpu","data loading","deep learning","nvidia"],"rating":2,"tags":["New this week"],"owner":{"name":"NVIDIA Corporation","githubUrl":"https://github.com/NVIDIA"},"license":"Apache-2.0","stars":5776,"contributors":112,"monthlyDownloads":27157,"lastPushedAt":"2026-10-18T20:46:38Z","sources":[{"site":"Hacker News","title":"CUDA 11.0","url":"https://news.ycombinator.com/item?id=23772245","date":"2020-07-08"},{"site":"Hacker News","title":"CUDA Toolkit Release Notes","url":"https://news.ycombinator.com/item?id=21618774","date":"2019-11-24"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"pageindex","name":"PageIndex","repo":"VectifyAI/PageIndex","githubUrl":"https://github.com/VectifyAI/PageIndex","homepage":"https://pageindex.ai/","pageUrl":"/repo/pageindex","category":"Documents & knowledge","tagline":"Helps AI find answers in long reports by reading a document's table of contents the way a person would.","whatItDoes":["Most tools that let AI search documents chop them into small pieces and look for pieces with similar wording. PageIndex takes a different approach. It builds a tree-shaped index of the document, like a detailed table of contents, and lets the AI reason its way to the right section.","Its makers say this gives answers you can trace back to an exact place in the document. They suggest it for long, complex material such as financial reports, legal documents, manuals and textbooks.","It can run on your own computer with your own AI model account, or connect to the PageIndex cloud service."],"whoFor":"Developers building tools that answer questions about long professional documents.","useWithoutCoding":"Developers only","keywords":["chat with pdf","long documents","financial reports","rag","document search"],"rating":2,"tags":[],"owner":{"name":"PageIndex","githubUrl":"https://github.com/VectifyAI"},"license":"MIT","stars":39260,"contributors":16,"monthlyDownloads":117984,"lastPushedAt":"2026-10-18T19:14:41Z","sources":[{"site":"Hacker News","title":"Show HN: PageIndex – Vectorless RAG","url":"https://news.ycombinator.com/item?id=45036944","date":"2025-08-27"},{"site":"Hacker News","title":"Show HN: A Vectorless LLM-Native Document Index Method","url":"https://news.ycombinator.com/item?id=45482992","date":"2025-10-05"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"500-ai-agents-projects","name":"500+ AI Agent Projects","repo":"ashishpatel26/500-AI-Agents-Projects","githubUrl":"https://github.com/ashishpatel26/500-AI-Agents-Projects","homepage":"https://ashishpatel26.github.io/500-AI-Agents-Projects/","pageUrl":"/repo/500-ai-agents-projects","category":"Learning resources","tagline":"A big catalogue of AI agent examples and use cases, sorted by industry and by the software used to build them.","whatItDoes":["This collection gathers hundreds of AI agent projects. An AI agent is an AI that takes actions to complete tasks, not just answers questions. Each listing links to example code.","You can browse by industry, such as healthcare, finance, education and retail, or by framework, the developer toolkits such as LangGraph, CrewAI and AutoGen. A comparison table suggests which framework suits which kind of job.","Some ready-to-run example agents are included in the repository itself."],"whoFor":"Developers, students, researchers and teams exploring what AI agents can do and how to build them.","useWithoutCoding":"Yes","keywords":["ai agents examples","use cases","learn","industry","curated list"],"rating":2,"tags":[],"owner":{"name":"Ashish Patel","githubUrl":"https://github.com/ashishpatel26"},"license":"MIT","stars":38784,"contributors":11,"monthlyDownloads":null,"lastPushedAt":"2026-07-27T05:40:40Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Browse the collection by industry or by framework to find an agent example."],"officialDownload":null},{"slug":"clawx","name":"ClawX","repo":"ValueCell-ai/ClawX","githubUrl":"https://github.com/ValueCell-ai/ClawX","homepage":"https://claw-x.com/","pageUrl":"/repo/clawx","category":"AI agents","tagline":"A desktop app that lets you set up and use OpenClaw AI agents without the command line.","whatItDoes":["OpenClaw is an AI agent system that is normally run from a terminal. ClawX wraps it in a desktop app with a guided setup, a chat window and visual settings.","You can create agents, connect AI providers such as OpenAI or Anthropic, schedule tasks to run automatically, and send results to chat channels. On Mac and Windows, agents can also operate apps on your computer.","Its makers suggest uses such as a personal assistant, monitoring news or prices, and automating everyday work."],"whoFor":"People who want to use AI agents through a normal desktop app instead of a terminal.","useWithoutCoding":"Yes","keywords":["ai assistant app","desktop ai agent","openclaw","automation"],"rating":2,"tags":["New this week"],"owner":{"name":"ValueCell.ai","githubUrl":"https://github.com/ValueCell-ai"},"license":"MIT","stars":7602,"contributors":25,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T11:40:52Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Install the ClawX desktop app for your computer and follow its setup wizard.","Add your AI provider account, such as OpenAI or Anthropic, in the settings.","Start chatting with an agent or set up a scheduled task."],"officialDownload":null},{"slug":"open-codesign","name":"Open CoDesign","repo":"OpenCoworkAI/open-codesign","githubUrl":"https://github.com/OpenCoworkAI/open-codesign","homepage":"https://opencoworkai.github.io/open-codesign/","pageUrl":"/repo/open-codesign","category":"App builders & workflows","tagline":"A desktop app that turns a prompt into a prototype, slide deck or marketing design using your own AI model.","whatItDoes":["Open CoDesign is a desktop app for Mac, Windows and Linux. You describe what you want, and AI creates a polished prototype, slide deck, PDF or marketing asset.","Its makers present it as an open alternative to tools like Claude Design and v0. It works with many AI models, including Claude, GPT, Gemini and local models through Ollama.","It runs on your computer, and you bring your own AI key or sign in with a ChatGPT subscription."],"whoFor":"Designers, founders and makers who want quick AI-made designs without a new subscription.","useWithoutCoding":"Yes","keywords":["ai design","prototype","slides","claude design alternative","mockup"],"rating":2,"tags":["New this week"],"owner":{"name":"OpenCoworkAI","githubUrl":"https://github.com/OpenCoworkAI"},"license":"MIT","stars":8078,"contributors":23,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T22:04:24Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the app for your computer from the project's releases page.","Connect an AI key, sign in with ChatGPT, or point it at a local model.","Type a prompt describing the design you want."],"officialDownload":"https://github.com/OpenCoworkAI/open-codesign/releases"},{"slug":"clawrouter","name":"ClawRouter","repo":"BlockRunAI/ClawRouter","githubUrl":"https://github.com/BlockRunAI/ClawRouter","homepage":"https://www.npmjs.com/package/@blockrun/clawrouter","pageUrl":"/repo/clawrouter","category":"Developer building blocks","tagline":"Sends each AI request to the cheapest model that can handle it, and lets AI agents pay for models themselves.","whatItDoes":["ClawRouter is a router for AI language models. For each request, it decides on your computer which of many models from OpenAI, Anthropic, Google and others can do the job most cheaply. Its makers say this cuts AI costs by up to 84%.","It is aimed at autonomous AI agents. Instead of an account, an agent can pay per use with a digital wallet using USDC, a cryptocurrency pegged to the US dollar. People can also sign up and pay by credit card.","The README says several models can be used for free with no signup, key or wallet."],"whoFor":"Developers running AI agents who want to lower model costs or let agents pay for their own usage.","useWithoutCoding":"Developers only","keywords":["llm router","save money","ai agents","model costs"],"rating":2,"tags":["New this week"],"owner":{"name":"BlockRun.ai","githubUrl":"https://github.com/BlockRunAI"},"license":"MIT","stars":6628,"contributors":30,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T23:05:23Z","sources":[{"site":"Hacker News","title":"Show HN: ClawRouter – Open-source LLM router that saves 78% on inference costs","url":"https://news.ycombinator.com/item?id=46899642","date":"2026-02-05"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"chatlab","name":"ChatLab","repo":"ChatLab/ChatLab","githubUrl":"https://github.com/ChatLab/ChatLab","homepage":"https://chatlab.fun/","pageUrl":"/repo/chatlab","category":"Documents & knowledge","tagline":"A desktop app that lets you explore and ask AI questions about your exported chat history, privately.","whatItDoes":["ChatLab is a desktop app for looking into your own chat conversations. You export your chat history from apps such as WhatsApp, Telegram, Discord, Instagram, LINE, QQ, iMessage or Google Chat and load it in.","It shows charts of trends, busy times, who talks most and more. An AI assistant can search, summarize and analyze your chats when you ask it questions.","Its makers say your chat data and settings stay on your computer by default, and it is built to handle very large histories."],"whoFor":"Anyone curious about patterns in their own chat history, and researchers studying conversation data.","useWithoutCoding":"Yes","keywords":["chat history","whatsapp analysis","message statistics","private"],"rating":2,"tags":["New this week"],"owner":{"name":"ChatLab","githubUrl":"https://github.com/ChatLab"},"license":"AGPL-3.0","stars":7539,"contributors":25,"monthlyDownloads":null,"lastPushedAt":"2026-10-12T12:50:43Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Download the ChatLab installer for your computer from the project's website or releases page.","Export a chat history from your messaging app, following the export guide.","Import the file into ChatLab and explore the charts or ask the AI questions."],"officialDownload":"https://github.com/ChatLab/ChatLab/releases"},{"slug":"guess-js","name":"Guess.js","repo":"guess-js/guess","githubUrl":"https://github.com/guess-js/guess","homepage":"https://guess-js.github.io/","pageUrl":"/repo/guess-js","category":"Developer building blocks","tagline":"Code tools that predict which web page a visitor will open next and load it early to speed up a site.","whatItDoes":["Guess.js is a set of tools for web developers. It uses data, such as Google Analytics visitor patterns or machine learning models, to guess which page a visitor will probably go to next.","The site can then load that page in the background, so it appears faster when clicked. The tools include a plugin for webpack, a common website build tool.","The README labels the project as alpha, meaning an early version."],"whoFor":"Web developers who want faster-feeling websites.","useWithoutCoding":"Developers only","keywords":["website speed","prefetch","web performance","prediction"],"rating":2,"tags":["New this week"],"owner":{"name":"Guess.js","githubUrl":"https://github.com/guess-js"},"license":"MIT","stars":7121,"contributors":27,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T02:00:28Z","sources":[{"site":"Hacker News","title":"Guess.js: Libraries for enabling Machine Learning driven experience on the web","url":"https://news.ycombinator.com/item?id=17934509","date":"2018-09-07"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"paddle-lite","name":"Paddle Lite","repo":"PaddlePaddle/Paddle-Lite","githubUrl":"https://github.com/PaddlePaddle/Paddle-Lite","homepage":"https://www.paddlepaddle.org.cn/lite","pageUrl":"/repo/paddle-lite","category":"Developer building blocks","tagline":"A lightweight engine from Baidu's PaddlePaddle for running AI models on phones and small devices.","whatItDoes":["Paddle Lite runs trained AI models on phones, embedded boards and other edge devices. It is part of PaddlePaddle, Baidu's AI toolkit.","It includes a tool that shrinks and speeds up models before use. Models from other toolkits, such as PyTorch or TensorFlow, can be converted first.","It offers C++, Java and Python interfaces, with demo apps for Android, iOS and Linux, and supports many chip types."],"whoFor":"Developers putting AI features into mobile apps or hardware devices.","useWithoutCoding":"Developers only","keywords":["mobile ai","on-device ai","edge ai","android","paddlepaddle"],"rating":2,"tags":["New this week"],"owner":{"name":"PaddlePaddle","githubUrl":"https://github.com/PaddlePaddle"},"license":"Apache-2.0","stars":7289,"contributors":193,"monthlyDownloads":null,"lastPushedAt":"2026-04-27T09:16:13Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Phone","Linux","Mac","Windows"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"mochi-diffusion","name":"Mochi Diffusion","repo":"MochiDiffusion/MochiDiffusion","githubUrl":"https://github.com/MochiDiffusion/MochiDiffusion","homepage":null,"pageUrl":"/repo/mochi-diffusion","category":"Images & video","tagline":"A Mac app that generates images on your own computer, fully offline.","whatItDoes":["Mochi Diffusion is a native Mac app for creating images with AI right on your computer. It uses Apple's own tools to run fast and use less memory.","Everything happens locally and offline, so your prompts and images stay on your machine. Generated images are saved with their settings built in.","You download image models separately and point the app at them."],"whoFor":"Mac users who want to generate AI images privately on their own computer.","useWithoutCoding":"Yes","keywords":["image generation","stable diffusion","mac","offline","ai art"],"rating":2,"tags":["New this week"],"owner":{"name":"Mochi Diffusion","githubUrl":"https://github.com/MochiDiffusion"},"license":"GPL-3.0","stars":7973,"contributors":23,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T00:12:47Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Download the app from the project's releases page.","Download an image model and place it in the app's model folder.","Type a prompt and generate an image."],"officialDownload":"https://github.com/MochiDiffusion/MochiDiffusion/releases"},{"slug":"aishort","name":"AiShort (ChatGPT Shortcut)","repo":"rockbenben/ChatGPT-Shortcut","githubUrl":"https://github.com/rockbenben/ChatGPT-Shortcut","homepage":"https://www.aishort.top/en","pageUrl":"/repo/aishort","category":"Everyday tools","tagline":"A searchable library of ready-made prompts you can copy into ChatGPT, Claude, Gemini and other AI tools.","whatItDoes":["AiShort is a website and browser extension full of ready-to-use prompts for tasks like writing, coding and studying. You search or filter by tag, click copy, and paste the prompt into any AI chat tool.","It works in many languages. If you sign in, you can save favourites, write your own prompts, and share and vote on prompts from the community.","There's also an offline edition for networks without internet access, and you can host your own copy."],"whoFor":"Anyone who uses AI chatbots and wants good prompts without writing them from scratch.","useWithoutCoding":"Yes","keywords":["prompt library","chatgpt prompts","ai prompts","prompt templates","browser extension"],"rating":2,"tags":["New this week"],"owner":{"name":"rockbenben","githubUrl":"https://github.com/rockbenben"},"license":"MIT","stars":8837,"contributors":8,"monthlyDownloads":null,"lastPushedAt":"2026-10-09T11:08:00Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the AiShort website, or install its browser extension.","Search or browse for the prompt you need and click Copy.","Paste it into the AI chat tool you use."],"officialDownload":"https://github.com/rockbenben/ChatGPT-Shortcut/releases/latest"},{"slug":"alignment-handbook","name":"The Alignment Handbook","repo":"huggingface/alignment-handbook","githubUrl":"https://github.com/huggingface/alignment-handbook","homepage":"https://huggingface.co/HuggingFaceH4","pageUrl":"/repo/alignment-handbook","category":"Training & fine-tuning","tagline":"Hugging Face's recipes for teaching AI language models to follow instructions and match people's preferences.","whatItDoes":["The Alignment Handbook is a set of training recipes from Hugging Face. Alignment means shaping an AI model so it is more helpful and safe, by training it on examples and on human or AI preferences.","It includes scripts for further training a model on new text, teaching it to follow instructions, and preference methods like DPO and ORPO. Recipes reproduce models such as Zephyr 7B and SmolLM3.","Each recipe is a settings file that lists every option used for one training run."],"whoFor":"Machine learning engineers and researchers who fine-tune open language models.","useWithoutCoding":"Developers only","keywords":["fine-tuning","rlhf","alignment","train chatbot"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"Hugging Face","githubUrl":"https://github.com/huggingface"},"license":"Apache-2.0","stars":5696,"contributors":36,"monthlyDownloads":null,"lastPushedAt":"2026-09-23T14:09:25Z","sources":[{"site":"Research paper","title":"Technical report linked from the Alignment Handbook README","url":"https://arxiv.org/abs/2310.16944","date":"2023-10-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"minimind-v","name":"MiniMind-V","repo":"jingyaogong/minimind-v","githubUrl":"https://github.com/jingyaogong/minimind-v","homepage":"https://jingyaogong.github.io/minimind-v","pageUrl":"/repo/minimind-v","category":"Training & fine-tuning","tagline":"A tiny AI model that can look at pictures and chat, with all the code to train it yourself cheaply.","whatItDoes":["MiniMind-V is a very small vision-language model, an AI that can look at an image and talk about it. Its smallest version is a tiny fraction of the size of big chat models.","The project includes every step: cleaning the data, training and testing. Its author says one training stage takes about two hours on a single home graphics card, at a rental cost of about three yuan.","It is meant as both a working model and a hands-on tutorial for learning how these models are built. The main README is in Chinese, with an English version available."],"whoFor":"Students and hobbyists who want to understand and train a picture-reading AI model from scratch.","useWithoutCoding":"Developers only","keywords":["train ai model","vision language model","small model","learn ai","image chat"],"rating":2,"tags":["New this week"],"owner":{"name":"jingyaogong","githubUrl":"https://github.com/jingyaogong"},"license":"Apache-2.0","stars":8759,"contributors":7,"monthlyDownloads":null,"lastPushedAt":"2026-09-22T16:07:32Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Try the online demo its author links to on ModelScope.","To train or run it yourself, follow the step-by-step quick start using a computer with a graphics card."],"officialDownload":null},{"slug":"clip","name":"CLIP","repo":"openai/CLIP","githubUrl":"https://github.com/openai/CLIP","homepage":null,"pageUrl":"/repo/clip","category":"AI models & research","tagline":"An AI model from OpenAI that connects pictures with words, so it can tell which description fits an image.","whatItDoes":["CLIP was trained on a large number of images paired with text. Given a picture and a list of possible descriptions, it can pick the one that fits best, even for categories it was never specifically trained on.","This ability to match images and text has made it a building block in many other AI tools, such as image search and image generation. The repository provides the model and code to use it in Python."],"whoFor":"Researchers and developers working on image search, image sorting or other image-and-text AI.","useWithoutCoding":"Developers only","keywords":["image recognition","image search","pictures and text","openai"],"rating":2,"tags":["Research-backed"],"owner":{"name":"OpenAI","githubUrl":"https://github.com/openai"},"license":"MIT","stars":34479,"contributors":23,"monthlyDownloads":null,"lastPushedAt":"2026-03-25T18:46:40Z","sources":[{"site":"Research paper","title":"CLIP: Contrastive Language-Image Pre-Training (paper)","url":"https://arxiv.org/abs/2103.00020","date":"2021-03-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"pandasai","name":"PandasAI","repo":"sinaptik-ai/pandas-ai","githubUrl":"https://github.com/sinaptik-ai/pandas-ai","homepage":"https://pandas-ai.com/","pageUrl":"/repo/pandasai","category":"Documents & knowledge","tagline":"Ask questions about your spreadsheets and databases in plain English and get answers or charts back.","whatItDoes":["PandasAI is a Python library that lets you ask questions about data in everyday language, such as \"What is the average revenue by region?\", and get back an answer.","It works with CSV files, databases and other data sources, and can draw charts when you ask. Behind the scenes it uses an AI language model of your choice to work out the answer."],"whoFor":"Data analysts and developers, and teams who want to give non-technical colleagues a simpler way to query data.","useWithoutCoding":"Developers only","keywords":["chat with data","spreadsheet","data analysis","csv","sql"],"rating":2,"tags":[],"owner":{"name":"PandasAI","githubUrl":"https://github.com/sinaptik-ai"},"license":"NOASSERTION","stars":23885,"contributors":112,"monthlyDownloads":31394,"lastPushedAt":"2025-10-28T10:02:13Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"figures4papers","name":"Figures for Papers","repo":"ChenLiu-1996/figures4papers","githubUrl":"https://github.com/ChenLiu-1996/figures4papers","homepage":"https://chenliu-1996.github.io/","pageUrl":"/repo/figures4papers","category":"Add-ons for AI coding tools","tagline":"Python scripts and an AI coding-assistant skill for making clean figures for research papers.","whatItDoes":["This is a researcher's collection of Python scripts for publication-quality charts, such as bar, radar and line plots, used in AI papers.","It also packages the style as a \"skill\" that AI coding assistants like Claude Code or Cursor can follow when writing new plotting scripts."],"whoFor":"Researchers and students who make figures for scientific papers.","useWithoutCoding":"Developers only","keywords":["scientific figures","charts","plots","research papers"],"rating":2,"tags":["New this week"],"owner":{"name":"Chen Liu","githubUrl":"https://github.com/ChenLiu-1996"},"license":"NOASSERTION","stars":8701,"contributors":2,"monthlyDownloads":null,"lastPushedAt":"2026-10-12T16:02:10Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"gh-aw","name":"GitHub Agentic Workflows","repo":"github/gh-aw","githubUrl":"https://github.com/github/gh-aw","homepage":"https://gh.io/gh-aw","pageUrl":"/repo/gh-aw","category":"Add-ons for AI coding tools","tagline":"Lets developers write AI-powered automations for GitHub projects in plain Markdown and run them safely.","whatItDoes":["GitHub Agentic Workflows lets you describe automated jobs for a GitHub repository (a project's code home) in Markdown, a simple text format. It turns them into GitHub Actions, GitHub's built-in automation service, and runs an AI agent to do the work.","It is meant for tasks that need judgement: sorting new issues, reviewing pull requests, investigating failed tests, keeping documentation up to date or writing project reports. It adds to normal automation rather than replacing it.","It can use GitHub Copilot, Claude Code, OpenAI Codex, Google Gemini or Pi. Agents can only read by default and run in a sandbox; any changes go through checked steps with limited permissions."],"whoFor":"Developers and teams who manage projects on GitHub and want AI help with routine upkeep.","useWithoutCoding":"Developers only","keywords":["github actions","ai automation","code review","issue triage","copilot"],"rating":2,"tags":["New this week"],"owner":{"name":"GitHub","githubUrl":"https://github.com/github"},"license":"MIT","stars":5418,"contributors":38,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:49:05Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Cloud"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Install the GitHub command-line tool and add the Agentic Workflows extension to it.","Follow the quick-start guide to pick an AI engine and add a sample workflow to your repository.","Let it run through GitHub Actions and review what the agent produces."],"officialDownload":null},{"slug":"raven","name":"Raven","repo":"EverMind-AI/Raven","githubUrl":"https://github.com/EverMind-AI/Raven","homepage":"https://raven.evermind.ai/","pageUrl":"/repo/raven","category":"AI agents","tagline":"An early-stage system that coordinates many specialised AI agents to complete large projects.","whatItDoes":["Raven acts as a host agent that plans a big task, splits it into steps and hands them to other agents. Built-in agents cover research, coding, visual design and unattended automation.","Its makers show examples such as a video game, a product launch kit and experiments where Raven works on improving itself.","The README says Raven is pre-alpha, so its features and settings may change quickly."],"whoFor":"Developers and researchers experimenting with multi-agent AI systems.","useWithoutCoding":"Developers only","keywords":["multi-agent","ai agents","autonomous ai","research agent"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"EverMind","githubUrl":"https://github.com/EverMind-AI"},"license":"Apache-2.0","stars":5505,"contributors":37,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T17:41:07Z","sources":[{"site":"Research paper","title":"Raven paper on arXiv","url":"https://arxiv.org/abs/2609.33439","date":"2026-09-01"},{"site":"Hacker News","title":"Show HN: Raven – The harness of harnesses, built for RSI","url":"https://news.ycombinator.com/item?id=49890647","date":"2026-09-29"}],"checkedByPerson":false,"cost":null,"runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"interpret","name":"InterpretML","repo":"interpretml/interpret","githubUrl":"https://github.com/interpretml/interpret","homepage":"https://interpret.ml/docs","pageUrl":"/repo/interpret","category":"Developer building blocks","tagline":"A code library for building AI prediction models people can understand, and for explaining ones they can't.","whatItDoes":["InterpretML helps people see why a machine learning model makes its predictions. It can train 'glassbox' models, whose reasoning is visible, and explain 'blackbox' models, whose inner workings are hidden.","Its main model, the Explainable Boosting Machine, was developed at Microsoft Research. Its makers say it is about as accurate as popular blackbox methods while giving exact explanations.","The README says this helps with debugging models, spotting unfair treatment, meeting legal rules and high-stakes uses like healthcare and finance."],"whoFor":"Data scientists and researchers who need to explain or check what their models are doing.","useWithoutCoding":"Developers only","keywords":["explainable ai","model explanations","fairness","machine learning"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"InterpretML","githubUrl":"https://github.com/interpretml"},"license":"MIT","stars":6962,"contributors":60,"monthlyDownloads":158540,"lastPushedAt":"2026-10-18T15:30:43Z","sources":[{"site":"Research paper","title":"InterpretML: A Unified Framework for Machine Learning Interpretability","url":"https://arxiv.org/abs/1909.09223","date":"2019-09-01"},{"site":"Research paper","title":"Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values","url":"https://arxiv.org/abs/2206.15465","date":"2022-06-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Mac","Windows"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"h2o-llmstudio","name":"H2O LLM Studio","repo":"h2oai/h2o-llmstudio","githubUrl":"https://github.com/h2oai/h2o-llmstudio","homepage":"https://h2o.ai/","pageUrl":"/repo/h2o-llmstudio","category":"Training & fine-tuning","tagline":"A point-and-click app for fine-tuning AI language models on your own data, without writing code.","whatItDoes":["H2O LLM Studio lets you fine-tune large language models, meaning you adapt an existing AI model to your own data or task. Its makers say you can do this without coding, using its graphical interface.","It supports modern techniques such as LoRA, a memory-saving training method, and lets you compare runs, chat with your trained model and share it on the Hugging Face Hub.","The README says it needs a Linux (Ubuntu) machine with a recent NVIDIA graphics card. It can also run on a rented cloud machine."],"whoFor":"Data scientists and teams who want to customise language models without heavy coding.","useWithoutCoding":"With some setup","keywords":["fine-tuning","train chatbot","custom ai model","no-code"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"H2O.ai","githubUrl":"https://github.com/h2oai"},"license":"Apache-2.0","stars":5183,"contributors":40,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T11:40:29Z","sources":[{"site":"Research paper","title":"LoRA: Low-Rank Adaptation of Large Language Models","url":"https://arxiv.org/abs/2106.09685","date":"2021-06-01"},{"site":"Hacker News","title":"Wave: Create Web Apps with Python","url":"https://news.ycombinator.com/item?id=41396081","date":"2024-08-29"},{"site":"Hacker News","title":"Fast csv writing for R","url":"https://news.ycombinator.com/item?id=11566001","date":"2016-04-25"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Cloud"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Use an Ubuntu computer with a recent NVIDIA graphics card, or a cloud machine with the ready-made template.","Install H2O LLM Studio following the README's recommended setup.","Open the app, upload your data and start a fine-tuning run."],"officialDownload":null},{"slug":"anthropic-cybersecurity-skills","name":"Anthropic Cybersecurity Skills","repo":"mukul975/Anthropic-Cybersecurity-Skills","githubUrl":"https://github.com/mukul975/Anthropic-Cybersecurity-Skills","homepage":"https://mahipal.engineer/Anthropic-Cybersecurity-Skills/","pageUrl":"/repo/anthropic-cybersecurity-skills","category":"Add-ons for AI coding tools","tagline":"A large library of cybersecurity know-how that AI agents can load to help with security work.","whatItDoes":["This is a collection of hundreds of \"skills\", instruction files that teach an AI agent how to do specific tasks, all about cybersecurity. Topics include investigating break-ins, analysing malware, cloud security, threat hunting and fraud detection.","Each skill is linked to well-known security frameworks such as MITRE ATT&CK and NIST, and works with many AI coding tools, including Claude Code, GitHub Copilot, Codex and Cursor.","It is a community project and says it is not affiliated with Anthropic. Its makers say some techniques are for authorised testing only, on systems you own or have written permission to test."],"whoFor":"Security professionals, students and teams using AI agents for defence and investigation.","useWithoutCoding":"Developers only","keywords":["cybersecurity","security analyst","threat hunting","ai skills"],"rating":2,"tags":["Fast-rising"],"owner":{"name":"Mahipal","githubUrl":"https://github.com/mukul975"},"license":"Apache-2.0","stars":34668,"contributors":17,"monthlyDownloads":null,"lastPushedAt":"2026-08-31T04:32:44Z","sources":[],"checkedByPerson":true,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Have an AI coding agent such as Claude Code, Cursor or Gemini CLI installed.","Add the skills library to your agent with the skills installer, or download the repository.","Only use the attack techniques on systems you own or have written permission to test."],"officialDownload":null},{"slug":"gocv","name":"GoCV","repo":"hybridgroup/gocv","githubUrl":"https://github.com/hybridgroup/gocv","homepage":"https://gocv.io/","pageUrl":"/repo/gocv","category":"Developer building blocks","tagline":"Lets programs written in Go use OpenCV for computer vision, like detecting faces in webcam video.","whatItDoes":["GoCV connects the Go programming language to OpenCV, a widely used library for computer vision, the field of teaching computers to understand images and video.","With it, Go programs can read from cameras, process images, detect faces and objects, stream video and run AI models for vision tasks. The README includes small examples, such as drawing boxes around faces seen by a webcam.","It works on Linux, macOS, Windows and Docker, and can use NVIDIA graphics cards or Intel's OpenVINO toolkit to run faster."],"whoFor":"Go developers adding image or video analysis to their programs.","useWithoutCoding":"Developers only","keywords":["computer vision","opencv","go","face detection","webcam"],"rating":2,"tags":["New this week"],"owner":{"name":"The Hybrid Group","githubUrl":"https://github.com/hybridgroup"},"license":"NOASSERTION","stars":7508,"contributors":179,"monthlyDownloads":null,"lastPushedAt":"2026-05-28T08:16:03Z","sources":[{"site":"Hacker News","title":"Go and OpenCV","url":"https://news.ycombinator.com/item?id=17863399","date":"2018-08-28"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"lora-scripts","name":"SD-Trainer (LoRA-scripts)","repo":"Akegarasu/lora-scripts","githubUrl":"https://github.com/Akegarasu/lora-scripts","homepage":null,"pageUrl":"/repo/lora-scripts","category":"Training & fine-tuning","tagline":"A point-and-click app for training Stable Diffusion image models on your own pictures.","whatItDoes":["SD-Trainer helps you train small add-ons, called LoRAs, for Stable Diffusion image models. A LoRA teaches a model a new style, character or subject from your own images.","It wraps a popular training tool in a web interface, with tools to tag images and charts to track training. There are one-step install scripts for Windows and Linux."],"whoFor":"Artists and hobbyists who want to train Stable Diffusion on their own images.","useWithoutCoding":"With some setup","keywords":["stable diffusion","lora","train image model","ai art"],"rating":2,"tags":["New this week"],"owner":{"name":"秋葉杏","githubUrl":"https://github.com/Akegarasu"},"license":"AGPL-3.0","stars":6187,"contributors":31,"monthlyDownloads":null,"lastPushedAt":"2026-09-28T08:57:14Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Linux"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install Python and Git, then download the project with its add-ons.","Run the install script for Windows or Linux.","Run the start script and use the training page that opens in your browser."],"officialDownload":null},{"slug":"jimureport","name":"JimuReport","repo":"jeecgboot/jimureport","githubUrl":"https://github.com/jeecgboot/jimureport","homepage":"http://jimureport.com/","pageUrl":"/repo/jimureport","category":"Data science tools","tagline":"A reporting and dashboard tool where you can describe the report you want and AI builds it.","whatItDoes":["JimuReport is a web tool for designing business reports, printouts, dashboards and big-screen data displays, with a spreadsheet-like editor.","Its AI features let you ask in plain language for a report or dashboard, or upload a screenshot, and it generates an editable version. JimuChatBI lets you ask questions about your data in a chat.","It connects to many kinds of databases and is added into Java (Spring Boot) projects. The README is mostly in Chinese."],"whoFor":"Businesses and developers who build reports and dashboards, mainly in Chinese-speaking settings.","useWithoutCoding":"Developers only","keywords":["reports","dashboards","business intelligence","chat with data","data visualization"],"rating":2,"tags":["New this week"],"owner":{"name":"JEECG官方开源","githubUrl":"https://github.com/jeecgboot"},"license":"GPL-3.0","stars":8539,"contributors":3,"monthlyDownloads":null,"lastPushedAt":"2026-10-14T06:51:29Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Server","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"airllm","name":"AirLLM","repo":"lyogavin/airllm","githubUrl":"https://github.com/lyogavin/airllm","homepage":null,"pageUrl":"/repo/airllm","category":"Run AI on your computer","tagline":"Lets very large AI language models run on a computer with a modest graphics card.","whatItDoes":["Big AI models normally need expensive hardware with lots of memory. AirLLM loads the model one piece at a time, so its makers say a model with 70 billion settings can run on a graphics card with only 4GB of memory.","The trade-off is speed: loading pieces in turn is slower than running the whole model at once. It supports many open models and now also some training."],"whoFor":"Developers and hobbyists who want to try large open models on ordinary hardware.","useWithoutCoding":"Developers only","keywords":["run llm locally","low memory","gpu","large models","offline ai"],"rating":2,"tags":[],"owner":{"name":"Gavin Li","githubUrl":"https://github.com/lyogavin"},"license":"Apache-2.0","stars":39352,"contributors":10,"monthlyDownloads":5466,"lastPushedAt":"2026-10-18T06:18:25Z","sources":[{"site":"Hacker News","title":"AirLLM 70B inference with single 4GB GPU","url":"https://news.ycombinator.com/item?id=49154228","date":"2026-08-03"},{"site":"Hacker News","title":"AirLLM enables 8GB MacBook run 70B LLM","url":"https://news.ycombinator.com/item?id=38790385","date":"2023-12-28"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"kaolin","name":"Kaolin","repo":"NVIDIAGameWorks/kaolin","githubUrl":"https://github.com/NVIDIAGameWorks/kaolin","homepage":null,"pageUrl":"/repo/kaolin","category":"3D & design","tagline":"NVIDIA's PyTorch toolkit of building blocks for AI research on 3D shapes, scenes and physics.","whatItDoes":["Kaolin is a code library from NVIDIA for 3D deep learning research. It packages tools from NVIDIA's 3D research so others can reuse them with PyTorch, a popular AI toolkit.","It includes physics simulation for 3D objects, rendering methods that AI can learn from, support for Gaussian splats (a way of capturing real scenes in 3D), and tools for converting between 3D formats.","It is optimised to run on NVIDIA graphics cards."],"whoFor":"Researchers and developers working on AI for 3D graphics, simulation and scene capture.","useWithoutCoding":"Developers only","keywords":["3d","gaussian splatting","physics simulation","nvidia","rendering"],"rating":2,"tags":["New this week"],"owner":{"name":"NVIDIA GameWorks","githubUrl":"https://github.com/NVIDIAGameWorks"},"license":"Apache-2.0","stars":5187,"contributors":39,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T23:23:07Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"llm-universe","name":"LLM Universe","repo":"datawhalechina/llm-universe","githubUrl":"https://github.com/datawhalechina/llm-universe","homepage":"https://datawhalechina.github.io/llm-universe/","pageUrl":"/repo/llm-universe","category":"Learning resources","tagline":"A free Chinese-language course that teaches beginner programmers how to build apps with large AI models.","whatItDoes":["LLM Universe is a step-by-step course, written in Chinese, on building apps powered by large language models (the technology behind ChatGPT). It walks through calling AI services, building a knowledge base from your own documents, and making a simple question-answering assistant.","The course is built around one example project, a personal knowledge-base assistant. Its makers say it skips heavy theory so that people with basic Python skills can follow along. It can be read online or as a PDF.","The first part is finished. The README says later parts on advanced techniques and example apps are still being written."],"whoFor":"Beginner developers who know basic Python and read Chinese.","useWithoutCoding":"Yes","keywords":["course","tutorial","chinese","build ai app","knowledge base"],"rating":2,"tags":["New this week"],"owner":{"name":"Datawhale","githubUrl":"https://github.com/datawhalechina"},"license":null,"stars":14162,"contributors":27,"monthlyDownloads":null,"lastPushedAt":"2026-08-27T03:08:26Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the online version of the course from the project page and start with the first part."],"officialDownload":null},{"slug":"sahi","name":"SAHI","repo":"obss/sahi","githubUrl":"https://github.com/obss/sahi","homepage":"https://obss.github.io/sahi/","pageUrl":"/repo/sahi","category":"Developer building blocks","tagline":"A vision library that helps AI spot small objects in large images by examining them in slices.","whatItDoes":["SAHI, short for Slicing Aided Hyper Inference, helps object-detection AI (AI that finds and labels things in pictures) work better on big images where objects are tiny, such as satellite photos.","It cuts a large image into smaller tiles, runs detection on each one and combines the results. It works with many popular detection models.","It also includes tools to prepare datasets, measure accuracy and make charts that show where a model makes mistakes."],"whoFor":"Computer-vision developers and researchers, for example working with drone or satellite images.","useWithoutCoding":"Developers only","keywords":["object detection","small objects","satellite images","computer vision"],"rating":2,"tags":["New this week"],"owner":{"name":"Open Business Software Solutions","githubUrl":"https://github.com/obss"},"license":"MIT","stars":5554,"contributors":84,"monthlyDownloads":138102,"lastPushedAt":"2026-10-16T17:40:34Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"zotero-mcp","name":"Zotero MCP","repo":"54yyyu/zotero-mcp","githubUrl":"https://github.com/54yyyu/zotero-mcp","homepage":"https://stevenyuyy.com/zotero-mcp/","pageUrl":"/repo/zotero-mcp","category":"Documents & knowledge","tagline":"Connects your Zotero research library to AI assistants so you can search, read and cite papers by chatting.","whatItDoes":["Zotero MCP links Zotero, a popular free app for managing research papers, with AI assistants such as Claude and ChatGPT. It uses MCP, a standard way for AI apps to connect to tools and data.","Through it, an assistant can search your library by title, author, tag or meaning, read papers and page ranges, add highlights and notes, add new papers and manage collections.","There are three ways to use it: as a connector for chat apps, as a skill for coding agents, or as a chat panel inside Zotero itself next to the PDF you are reading."],"whoFor":"Researchers, students and academics who keep their papers in Zotero and use AI assistants.","useWithoutCoding":"With some setup","keywords":["zotero","research papers","chat with pdfs","citations","academic"],"rating":2,"tags":["New this week"],"owner":{"name":"Steven Yu","githubUrl":"https://github.com/54yyyu"},"license":"MIT","stars":5459,"contributors":104,"monthlyDownloads":20314,"lastPushedAt":"2026-10-16T21:34:45Z","sources":[{"site":"Hacker News","title":"Show HN: Zotero-MCP – Connect Your Research Library with Your AI Assistant","url":"https://news.ycombinator.com/item?id=43824520","date":"2025-04-28"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Zotero MCP using Python's package tools, or the community-made installer.","In Zotero's advanced settings, allow other apps on your computer to talk to Zotero.","Connect your AI assistant, for example with the built-in setup for Claude Desktop."],"officialDownload":null},{"slug":"swarms","name":"Swarms","repo":"kyegomez/swarms","githubUrl":"https://github.com/kyegomez/swarms","homepage":"https://docs.swarms.world/","pageUrl":"/repo/swarms","category":"AI agents","tagline":"A Python framework for building teams of AI agents that work together on tasks.","whatItDoes":["Swarms is a Python framework for building systems with many AI agents. An agent here is an AI model with tools and memory that can work through tasks step by step.","Agents can be arranged to work one after another, side by side or in a hierarchy. They can use outside tools through MCP, and an agent can itself be offered as a tool for others.","Its makers describe it as built for business use. It usually needs a key from an AI provider such as OpenAI or Anthropic."],"whoFor":"Developers building multi-agent AI systems.","useWithoutCoding":"Developers only","keywords":["multi-agent","ai agents","agent framework","python","automation"],"rating":2,"tags":["New this week"],"owner":{"name":"Kye Gomez","githubUrl":"https://github.com/kyegomez"},"license":"Apache-2.0","stars":7276,"contributors":70,"monthlyDownloads":7099,"lastPushedAt":"2026-10-19T01:22:14Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"meetily","name":"Meetily","repo":"Zackriya-Solutions/meetily","githubUrl":"https://github.com/Zackriya-Solutions/meetily","homepage":"https://meetily.ai/","pageUrl":"/repo/meetily","category":"Speech & audio","tagline":"A meeting assistant that transcribes and summarises your meetings entirely on your own computer.","whatItDoes":["Meetily records your meetings, writes a live transcript, and uses AI to produce a summary. Its makers say all processing happens on your device, so nothing is sent to the cloud.","For summaries you can use a local model through Ollama, or connect services such as Claude or Groq. A paid PRO version adds more features."],"whoFor":"Professionals who want meeting notes without sending recordings to outside services.","useWithoutCoding":"Yes","keywords":["meeting notes","transcription","meeting minutes","private","offline"],"rating":2,"tags":[],"owner":{"name":"Zackriya Solutions","githubUrl":"https://github.com/Zackriya-Solutions"},"license":"MIT","stars":31906,"contributors":20,"monthlyDownloads":null,"lastPushedAt":"2026-09-15T18:32:32Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the installer for Windows or Mac from the project's releases page and install it.","Open Meetily and record a meeting or import an audio file.","For summaries, choose a local Ollama model or an online AI provider."],"officialDownload":"https://github.com/Zackriya-Solutions/meeting-minutes/releases"},{"slug":"openllm","name":"OpenLLM","repo":"bentoml/OpenLLM","githubUrl":"https://github.com/bentoml/OpenLLM","homepage":"https://bentoml.com/","pageUrl":"/repo/openllm","category":"Running AI at scale","tagline":"Run open AI models on your own servers as a ready-to-use service that works like OpenAI's.","whatItDoes":["OpenLLM lets developers take open AI language models, such as Llama, Qwen or DeepSeek, and run them as a service on their own hardware. Other programs can then talk to the model the same way they would talk to OpenAI's service.","It includes a simple built-in chat page for trying the model. The README lists how much graphics-card memory each model needs; many need large GPUs.","It can also deploy models to BentoCloud, its makers' hosted AI platform, for teams that don't want to manage servers."],"whoFor":"Developers and teams who want to host open AI models themselves.","useWithoutCoding":"Developers only","keywords":["self-host ai","run llm","openai compatible","private ai server","llama"],"rating":2,"tags":["New this week"],"owner":{"name":"BentoML","githubUrl":"https://github.com/bentoml"},"license":"Apache-2.0","stars":12559,"contributors":33,"monthlyDownloads":1498,"lastPushedAt":"2026-10-12T17:07:37Z","sources":[{"site":"Hacker News","title":"OpenLLM","url":"https://news.ycombinator.com/item?id=36388219","date":"2023-06-19"}],"checkedByPerson":false,"cost":"Free","runsOn":["Server","Cloud"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"argilla","name":"Argilla","repo":"argilla-io/argilla","githubUrl":"https://github.com/argilla-io/argilla","homepage":"https://argilla-io.github.io/argilla/latest/","pageUrl":"/repo/argilla","category":"Training & fine-tuning","tagline":"A collaborative tool for labelling data and collecting human feedback to build better AI training datasets.","whatItDoes":["Argilla helps AI engineers and subject experts work together to build high-quality datasets, the examples used to train and test AI models. People review and label data in a web interface, with filters and AI suggestions to speed things up.","It can be used for text classification, chatbots and document search, preference tuning of language models, and image models. You keep ownership of your data and models.","The README says the original authors have moved on: no new features are planned, but bug fixes and security updates will continue."],"whoFor":"AI teams and domain experts who need to label data or gather human feedback.","useWithoutCoding":"With some setup","keywords":["data labeling","annotation","human feedback","datasets","hugging face"],"rating":2,"tags":["New this week"],"owner":{"name":"Argilla","githubUrl":"https://github.com/argilla-io"},"license":"Apache-2.0","stars":5158,"contributors":110,"monthlyDownloads":66706,"lastPushedAt":"2026-10-12T23:13:06Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser","Cloud","Server"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Deploy your own Argilla space on Hugging Face using the free template linked in the README.","Sign in to the Argilla web interface and create a dataset to start labelling."],"officialDownload":null},{"slug":"giskard","name":"Giskard","repo":"Giskard-AI/giskard-oss","githubUrl":"https://github.com/Giskard-AI/giskard-oss","homepage":"https://docs.giskard.ai/","pageUrl":"/repo/giskard","category":"AI testing & safety","tagline":"A Python library for testing AI agents and chatbots for quality, safety and weak spots.","whatItDoes":["Giskard helps developers test and evaluate AI systems, from a single model to a multi-step agent. It runs test scenarios, including multi-turn conversations, and checks the answers.","It can use another AI model as a judge, generate tests, and scan for vulnerabilities and quality problems. It also evaluates RAG systems, which answer questions from documents.","The README notes that the older version 2 is no longer actively maintained and version 3 is a fresh rewrite."],"whoFor":"Teams building AI agents or chatbots who need to check them before and after launch.","useWithoutCoding":"Developers only","keywords":["ai testing","llm evaluation","red teaming","chatbot quality","ai safety"],"rating":2,"tags":["New this week"],"owner":{"name":"Giskard","githubUrl":"https://github.com/Giskard-AI"},"license":"Apache-2.0","stars":5909,"contributors":91,"monthlyDownloads":12622,"lastPushedAt":"2026-10-19T01:18:06Z","sources":[],"checkedByPerson":true,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"carrot","name":"carrot","repo":"xx025/carrot","githubUrl":"https://github.com/xx025/carrot","homepage":null,"pageUrl":"/repo/carrot","category":"Learning resources","tagline":"A Chinese-language directory of AI chat assistants, agents and creative tools, with notes on which are free.","whatItDoes":["carrot is a list of AI websites and apps, written in Chinese. It covers chat assistants, AI search, agents, coding tools, image and video makers and tools for specific industries.","Each entry has a short description and labels showing whether it's free, needs a login, or needs international internet access. The list is also published as a website, and people can suggest new sites or report broken ones."],"whoFor":"Chinese-speaking readers looking for AI tools to try.","useWithoutCoding":"Yes","keywords":["ai tools list","free ai","chatgpt","directory","chinese"],"rating":2,"tags":[],"owner":{"name":"Rycbar123","githubUrl":"https://github.com/xx025"},"license":null,"stars":17203,"contributors":1,"monthlyDownloads":null,"lastPushedAt":"2026-09-05T19:50:17Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Open the published website or the list on GitHub.","Look for the smiley mark to find tools that are free to use.","Click a tool's link to visit it."],"officialDownload":null},{"slug":"funclip","name":"FunClip","repo":"modelscope/FunClip","githubUrl":"https://github.com/modelscope/FunClip","homepage":"https://huggingface.co/spaces/FunAudioLLM/FunClip","pageUrl":"/repo/funclip","category":"Images & video","tagline":"Transcribes a video, then lets you cut clips by picking sentences or speakers from the transcript.","whatItDoes":["FunClip is a video clipping tool that runs on your own computer. It uses speech-recognition models from Alibaba's Tongyi lab to write out what is said in a video, with timings.","You then choose the text or the speaker you want, and it cuts the matching parts of the video. It also produces subtitle files. An optional AI language model can suggest clips for you.","It is strongest in Chinese and also supports English. It runs as a simple web page on your computer, and there are online demos."],"whoFor":"Video editors and creators, especially working with Chinese-language video, who want quick clips and subtitles.","useWithoutCoding":"With some setup","keywords":["video clipping","subtitles","transcription","chinese","video editing"],"rating":2,"tags":["New this week"],"owner":{"name":"ModelScope","githubUrl":"https://github.com/modelscope"},"license":"MIT","stars":6420,"contributors":28,"monthlyDownloads":null,"lastPushedAt":"2026-10-08T05:36:48Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Python, download the project and install its requirements.","Start FunClip and open the local web page it creates.","Upload a video, let it transcribe, then pick the sentences or speaker you want clipped."],"officialDownload":null},{"slug":"olares","name":"Olares","repo":"beclab/Olares","githubUrl":"https://github.com/beclab/Olares","homepage":"https://www.olares.com/","pageUrl":"/repo/olares","category":"Run AI on your computer","tagline":"Turns a computer you own into a personal cloud for running AI assistants, models and apps privately.","whatItDoes":["Olares is an operating system for a home or office machine that turns it into your own private cloud. You then use it from a web browser, phone or desktop, wherever you are.","It is built for running AI on your own hardware: one-click installs of open-source AI apps and models, an official AI assistant called Lares, and support for other agents. It can share graphics cards between tasks.","It also includes file storage and backups, private networking, smart home and media apps. Its makers say this keeps personal data off third-party servers."],"whoFor":"Home-lab fans, privacy-minded users and small teams who want a self-hosted AI setup.","useWithoutCoding":"With some setup","keywords":["personal cloud","self-hosted","home server","local ai","private ai"],"rating":2,"tags":["New this week"],"owner":{"name":"BEC Lab","githubUrl":"https://github.com/beclab"},"license":"AGPL-3.0","stars":5311,"contributors":36,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T19:00:20Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Web browser","Phone"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Set aside an Ubuntu or Debian computer that meets the requirements, or use the installer disk image on a fresh machine.","Run the official installer as described on the project's website.","Open your Olares desktop in a browser and follow the AI onboarding guide to set up a local model and the Lares assistant."],"officialDownload":null},{"slug":"aim","name":"Aim","repo":"aimhubio/aim","githubUrl":"https://github.com/aimhubio/aim","homepage":"https://aimstack.io/","pageUrl":"/repo/aim","category":"Running AI at scale","tagline":"An open-source tool for tracking and comparing machine learning training runs.","whatItDoes":["Aim is a self-hosted tool that records your machine learning training runs and any related data, so you can keep track of your experiments.","It provides a visual interface to explore and compare many runs side by side, plus a way to query the recorded data from code.","Its makers say it is built to handle very large numbers of training runs."],"whoFor":"Machine learning practitioners who want to track and compare their experiments.","useWithoutCoding":"Developers only","keywords":["experiment tracking","machine learning","visualization","mlops","compare runs"],"rating":2,"tags":["New this week"],"owner":{"name":"Aim","githubUrl":"https://github.com/aimhubio"},"license":"Apache-2.0","stars":6287,"contributors":82,"monthlyDownloads":80075,"lastPushedAt":"2026-10-18T22:05:13Z","sources":[{"site":"Hacker News","title":"Aim: Record, search and compare ML training runs","url":"https://news.ycombinator.com/item?id=25759121","date":"2021-01-13"},{"site":"Hacker News","title":"Aim: Supercharged open-source experiment tracker","url":"https://news.ycombinator.com/item?id=43537969","date":"2025-03-31"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"goutoujunshi","name":"狗头军师 (Goutou Junshi)","repo":"shengjidaguai-china/goutoujunshi","githubUrl":"https://github.com/shengjidaguai-china/goutoujunshi","homepage":null,"pageUrl":"/repo/goutoujunshi","category":"Everyday tools","tagline":"A Chinese-language relationship-advice skill for AI assistants that helps you think through dating and relationships.","whatItDoes":["This project is a \"skill\", a set of instructions and reference notes you add to an AI assistant such as Codex. It turns the assistant into a relationship adviser for situations like crushes, dating, conflicts, break-ups and marriage. It first responds to how you feel, then helps you sort facts from guesses and plan a next step.","It can read chat screenshots or exported chats you share, and can remember details across conversations after you agree. Its knowledge base covers psychology, communication, Chinese family law and safety. The README says it supports all sexual orientations and gender identities. It is written in Chinese."],"whoFor":"Chinese-speaking people who use an AI assistant and want help thinking through a relationship.","useWithoutCoding":"With some setup","keywords":["relationship advice","dating help","ai skill","chinese","love advice"],"rating":2,"tags":["New this week"],"owner":{"name":"升级打怪开源社区","githubUrl":"https://github.com/shengjidaguai-china"},"license":"MIT","stars":8153,"contributors":1,"monthlyDownloads":null,"lastPushedAt":"2026-09-20T12:23:53Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Ask your AI assistant to download and install this project as a local skill.","Then ask it to use the skill to help with your situation and answer its first questions."],"officialDownload":null},{"slug":"yao-agents","name":"Yao Agents","repo":"YaoApp/yao","githubUrl":"https://github.com/YaoApp/yao","homepage":"https://yaoagents.com/","pageUrl":"/repo/yao-agents","category":"AI agents","tagline":"A self-hosted place to run your AI agents and workspaces across all your devices.","whatItDoes":["Yao Agents brings your AI agents and workspaces together in one self-hosted place that you can reach from desktop, mobile, a browser or an interface for other programs.","Agents run on your own devices, each workspace is kept separate, and a task board turns conversations into tasks you can keep running and improve over time.","Its makers say your projects and data stay on your own machines, and you can choose which AI models to use."],"whoFor":"People who want to self-host AI agents and keep their data on their own devices.","useWithoutCoding":"With some setup","keywords":["ai agents","self-hosted","workspace","task board","local-first"],"rating":2,"tags":["New this week"],"owner":{"name":"Yao Engine","githubUrl":"https://github.com/YaoApp"},"license":"NOASSERTION","stars":8142,"contributors":12,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T01:12:43Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Phone","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Download the app for your device from the project's website.","Connect an AI model.","Start a conversation to create your first task."],"officialDownload":null},{"slug":"awesome-codex-skills","name":"Awesome Codex Skills","repo":"composio-community/awesome-codex-skills","githubUrl":"https://github.com/composio-community/awesome-codex-skills","homepage":null,"pageUrl":"/repo/awesome-codex-skills","category":"Add-ons for AI coding tools","tagline":"A curated list of ready-made skills that teach OpenAI's Codex coding assistant to do specific tasks.","whatItDoes":["Codex is an AI coding assistant. \"Skills\" are small instruction bundles that tell it how to do a particular task the way you want it done.","This list collects skills for code review, large code changes, productivity, writing, data analysis and more, with instructions for installing them."],"whoFor":"People who use Codex and want to give it new abilities.","useWithoutCoding":"Developers only","keywords":["codex","ai skills","coding assistant","automation"],"rating":2,"tags":[],"owner":{"name":"Composio Community","githubUrl":"https://github.com/composio-community"},"license":null,"stars":16955,"contributors":18,"monthlyDownloads":null,"lastPushedAt":"2026-07-26T01:14:54Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Install OpenAI's Codex coding assistant first.","Copy a skill folder you like into Codex's skills folder, or use the included installer.","Restart Codex, then describe your task or mention the skill by name."],"officialDownload":null},{"slug":"awesome-ai-tools","name":"Awesome AI Tools","repo":"mahseema/awesome-ai-tools","githubUrl":"https://github.com/mahseema/awesome-ai-tools","homepage":null,"pageUrl":"/repo/awesome-ai-tools","category":"Learning resources","tagline":"A curated list of AI apps and models for writing, coding, images, video, audio and more.","whatItDoes":["This is a long list of AI tools, sorted by what they do. Sections cover text and chatbots, coding, image and video generation, audio and music, marketing, phone-call agents, and learning resources.","Each entry has a short description and a link. The list includes both open-source projects and commercial products."],"whoFor":"Anyone looking for an overview of AI tools available for a task.","useWithoutCoding":"Yes","keywords":["ai tools list","best ai apps","ai directory","chatbots"],"rating":2,"tags":["New this week"],"owner":{"name":"Mahsima Dastan","githubUrl":"https://github.com/mahseema"},"license":"MIT","stars":6430,"contributors":203,"monthlyDownloads":null,"lastPushedAt":"2025-12-31T14:46:19Z","sources":[{"site":"Hacker News","title":"Awesome AI Tools – A Curated List of Artificial Intelligence Top Tools","url":"https://news.ycombinator.com/item?id=41223101","date":"2024-08-12"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the list and jump to the section for what you want to do, such as images or audio."],"officialDownload":null},{"slug":"netron","name":"Netron","repo":"lutzroeder/netron","githubUrl":"https://github.com/lutzroeder/netron","homepage":"https://netron.app/","pageUrl":"/repo/netron","category":"AI models & research","tagline":"Opens AI model files and shows their inner structure as a diagram you can explore.","whatItDoes":["Netron is a viewer for AI and machine learning models. Open a model file and it draws a map of the layers and connections inside it, a bit like viewing a blueprint.","It supports many common model formats, including ones from PyTorch, TensorFlow, ONNX and Core ML, with experimental support for more, such as GGUF files used for local chat models."],"whoFor":"Students, researchers and developers who want to look inside AI models.","useWithoutCoding":"Yes","keywords":["view ai model","neural network diagram","model viewer","onnx"],"rating":2,"tags":[],"owner":{"name":"Lutz Roeder","githubUrl":"https://github.com/lutzroeder"},"license":"MIT","stars":33586,"contributors":1,"monthlyDownloads":70054,"lastPushedAt":"2026-10-18T14:29:44Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Web browser"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Open the browser version from the project's website, or download the installer for your computer from the releases page.","Open a model file in Netron to see a diagram of how the model is built."],"officialDownload":"https://github.com/lutzroeder/netron/releases"},{"slug":"autorag","name":"AutoRAG Agent","repo":"Marker-Inc-Korea/AutoRAG","githubUrl":"https://github.com/Marker-Inc-Korea/AutoRAG","homepage":null,"pageUrl":"/repo/autorag","category":"Documents & knowledge","tagline":"An AI librarian that searches your files, chats and email and answers questions with links to the sources.","whatItDoes":["AutoRAG Agent searches across what's on your computer, including documents, PDFs and code, plus connected sources such as Slack, Discord, Telegram, WhatsApp, email, GitHub and Obsidian. You ask a question in plain words and it writes an answer that cites where each point came from.","Its makers say your files are searched where they are, without being copied into a separate database, and that document understanding runs on a small local model so file contents aren't sent away for that step. Answers use either the makers' hosted model plan or your own AI provider key.","It can be used through a desktop app called Dazzi (kept in a separate project), a terminal interface, or as a connector for AI coding tools. The original AutoRAG tool for tuning document-search pipelines is still maintained in the same repository."],"whoFor":"People and teams with lots of scattered files and messages who want to ask questions across all of them.","useWithoutCoding":"With some setup","keywords":["search my files","personal search","ask my documents","file finder"],"rating":2,"tags":["New this week"],"owner":{"name":"Markr.AI","githubUrl":"https://github.com/Marker-Inc-Korea"},"license":"Apache-2.0","stars":5127,"contributors":37,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T13:43:01Z","sources":[{"site":"Hacker News","title":"Show HN: AutoRAG – AutoML tool for RAG. Find an optimal RAG pipeline","url":"https://news.ycombinator.com/item?id=39303957","date":"2024-02-08"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Choose how to use it: the Dazzi desktop app from its separate project, or the terminal version from this project.","Pick a model, either the makers' hosted plan or your own AI provider key.","Point it at your folders and connected apps, then ask a question."],"officialDownload":null},{"slug":"gptcache","name":"GPTCache","repo":"zilliztech/GPTCache","githubUrl":"https://github.com/zilliztech/GPTCache","homepage":"https://gptcache.readthedocs.io/","pageUrl":"/repo/gptcache","category":"Running AI at scale","tagline":"Saves AI answers so repeated or similar questions don't need a new, paid request.","whatItDoes":["GPTCache stores responses from AI language models. When a similar question comes in, it returns the saved answer, which its makers say cuts cost and speeds things up.","It works with LangChain and other tools. The README says it no longer adds support for new model APIs and points to its general get-and-set functions instead."],"whoFor":"Developers running AI apps with many repeated questions.","useWithoutCoding":"Developers only","keywords":["llm cache","reduce ai costs","chatgpt api"],"rating":2,"tags":["New this week"],"owner":{"name":"Zilliz","githubUrl":"https://github.com/zilliztech"},"license":"MIT","stars":8213,"contributors":43,"monthlyDownloads":153491,"lastPushedAt":"2026-09-22T08:26:00Z","sources":[{"site":"Hacker News","title":"GPTCache: Slash Your LLM API Costs by 10x","url":"https://news.ycombinator.com/item?id=35471071","date":"2023-04-06"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"turbovec","name":"turbovec","repo":"RyanCodrai/turbovec","githubUrl":"https://github.com/RyanCodrai/turbovec","homepage":"https://pypi.org/project/turbovec/","pageUrl":"/repo/turbovec","category":"Developer building blocks","tagline":"A compact, fast way for programs to search large collections of AI data by meaning, using far less memory.","whatItDoes":["turbovec is a code library for searching vectors, the lists of numbers AI tools use to represent the meaning of text or images. It's the kind of search behind \"find similar\" features and document chatbots.","It squeezes each vector into a much smaller form using a research method called TurboQuant, and searches that compressed form directly. Its makers say this uses many times less memory and searches faster than the widely used FAISS library, with similar accuracy.","It runs inside your own program, so no data leaves your machine. You can add and remove items at any time without rebuilding, and filter results."],"whoFor":"Developers building AI search or memory features who need to handle many items on limited hardware.","useWithoutCoding":"Developers only","keywords":["vector search","embeddings","similarity search","rag","compression"],"rating":2,"tags":["Research-backed"],"owner":{"name":"Ryan Codrai","githubUrl":"https://github.com/RyanCodrai"},"license":"MIT","stars":17403,"contributors":8,"monthlyDownloads":36907,"lastPushedAt":"2026-10-07T06:55:09Z","sources":[{"site":"Research paper","title":"TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate","url":"https://arxiv.org/abs/2504.19874","date":"2025-04-01"},{"site":"Research paper","title":"RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search","url":"https://arxiv.org/abs/2405.12497","date":"2024-05-01"},{"site":"Hacker News","title":"Turbovec – Google's TurboQuant for vector search in Rust","url":"https://news.ycombinator.com/item?id=49349898","date":"2026-08-18"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"pyaudioanalysis","name":"pyAudioAnalysis","repo":"tyiannak/pyAudioAnalysis","githubUrl":"https://github.com/tyiannak/pyAudioAnalysis","homepage":"https://magcil.github.io/","pageUrl":"/repo/pyaudioanalysis","category":"Speech & audio","tagline":"A Python library for analysing sound: classifying audio, finding events and telling speakers apart.","whatItDoes":["pyAudioAnalysis is a code library for studying audio files. It can measure features of sound, train models to recognise types of audio, such as music versus speech, and classify new recordings.","It can also find events and skip silence in long recordings, split audio by speaker, and estimate things like emotion from sound."],"whoFor":"Students, researchers and developers working with audio data.","useWithoutCoding":"Developers only","keywords":["audio analysis","sound classification","speaker","music"],"rating":2,"tags":["New this week"],"owner":{"name":"Theodoros Giannakopoulos","githubUrl":"https://github.com/tyiannak"},"license":"Apache-2.0","stars":6269,"contributors":28,"monthlyDownloads":null,"lastPushedAt":"2026-10-09T23:57:34Z","sources":[{"site":"Hacker News","title":"A library for audio feature extraction, regression, classification, segmentation","url":"https://news.ycombinator.com/item?id=29495900","date":"2021-12-09"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"aihot","name":"AIHOT","repo":"KKKKhazix/AIHOT","githubUrl":"https://github.com/KKKKhazix/AIHOT","homepage":"https://aihot.news/","pageUrl":"/repo/aihot","category":"App builders & workflows","tagline":"A website template that collects news from chosen sources and uses AI to pick highlights and write a daily digest.","whatItDoes":["AIHOT is the engine behind a Chinese-language AI news site, released so others can make a similar site for their own industry. You choose the news sources and the rules for what counts as important.","Every day it gathers items from RSS feeds, websites, X accounts and WeChat accounts. An AI model filters and scores them, writes headlines and summaries, groups reports about the same event together, ranks what is most talked about, and publishes a daily report.","All the prompts and selection rules are included and can be changed. The site writes in Chinese by default and needs an AI model key; the author warns that they are not a professional developer."],"whoFor":"People who want to run their own AI-curated news site for a field or industry and are comfortable with some technical setup.","useWithoutCoding":"With some setup","keywords":["news digest","daily briefing","news aggregator","industry news","rss"],"rating":2,"tags":["New this week"],"owner":{"name":"Khazix","githubUrl":"https://github.com/KKKKhazix"},"license":"MIT","stars":8017,"contributors":19,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T19:20:16Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Server","Linux","Mac"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Install Docker and Node.js, and get an API key from an AI model provider such as DeepSeek.","Download the project, create its settings with your key, and start it with Docker as the README shows.","Open the site in your browser and replace the sample sources with your own in the admin area."],"officialDownload":null},{"slug":"transformer-lab","name":"Transformer Lab","repo":"transformerlab/transformerlab-app","githubUrl":"https://github.com/transformerlab/transformerlab-app","homepage":"https://lab.cloud/","pageUrl":"/repo/transformer-lab","category":"Training & fine-tuning","tagline":"One app for downloading, chatting with, fine-tuning and testing AI models on your own hardware.","whatItDoes":["Transformer Lab is an open-source workspace for working with AI models. You can download popular open models, chat with them, fine-tune them on your own data and measure how well they perform. It also supports image generation and text-to-speech models.","The individual edition runs on one computer, and the README says no data leaves your machine. A teams edition sends training jobs to GPU clusters or cloud providers. You use it through a web interface in your browser."],"whoFor":"Researchers and hobbyists who want to train and experiment with AI models without stitching many tools together.","useWithoutCoding":"With some setup","keywords":["fine-tune ai","train llm","local ai","model evaluation","lora"],"rating":2,"tags":["New this week"],"owner":{"name":"Transformer Lab","githubUrl":"https://github.com/transformerlab"},"license":"AGPL-3.0","stars":5196,"contributors":36,"monthlyDownloads":null,"lastPushedAt":"2026-10-14T22:35:34Z","sources":[{"site":"Hacker News","title":"Show HN: Open-Source Alternative to OpenAI Platform, for Local Models","url":"https://news.ycombinator.com/item?id=42865658","date":"2025-01-29"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux","Windows","Server"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Check that you have an Apple Silicon Mac, or a Linux or Windows computer with a suitable graphics card.","Run the install script from the README, then start Transformer Lab.","Open it in your web browser and download a model to try."],"officialDownload":null},{"slug":"coucou","name":"Coucou","repo":"Louis-CFM/coucou","githubUrl":"https://github.com/Louis-CFM/coucou","homepage":"https://louis-cfm.github.io/coucou/","pageUrl":"/repo/coucou","category":"Add-ons for AI coding tools","tagline":"A little character in your Mac's notch that shows what your AI coding agents are doing.","whatItDoes":["Coucou puts a small animated friend called Mochi at the top of your screen. It watches your AI coding sessions in tools like Claude Code, Codex, Cursor and Gemini CLI, shows what files they edit and lets you approve their requests with one click. There are companion apps for iPhone and Android.","The Mac app also offers voice dictation that can run offline, a call recorder that writes transcripts and summaries, a chat with several AI models and many small add-ons. The README says it has no tracking and no account, and keeps keys in your system's secure storage."],"whoFor":"People who use AI coding agents and want to keep an eye on them without watching the terminal.","useWithoutCoding":"Yes","keywords":["claude code","mac notch app","dictation","ai agent monitor","menu bar app"],"rating":2,"tags":["New this week"],"owner":{"name":"Louis","githubUrl":"https://github.com/Louis-CFM"},"license":"MIT","stars":5534,"contributors":33,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T18:55:43Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Phone"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download Coucou from the project's releases page on GitHub.","Open it while your AI coding agent is running to see sessions appear in the notch."],"officialDownload":"https://github.com/Louis-CFM/coucou/releases"},{"slug":"boxmot","name":"BoxMOT","repo":"mikel-brostrom/boxmot","githubUrl":"https://github.com/mikel-brostrom/boxmot","homepage":"https://mikel-brostrom.github.io/boxmot/","pageUrl":"/repo/boxmot","category":"Images & video","tagline":"Software modules that follow many moving objects through video, such as people or cars.","whatItDoes":["Multi-object tracking means spotting objects in each frame of a video and keeping track of which object is which as they move. BoxMOT provides building blocks for this.","It includes several well-known tracking methods that can be swapped in and out, and works with detections from other AI models such as YOLO. It also has tools to test and compare trackers.","There is a Python version and an optional faster C++ version."],"whoFor":"Computer vision developers and researchers working with video.","useWithoutCoding":"Developers only","keywords":["object tracking","video analysis","people tracking","computer vision"],"rating":2,"tags":["New this week"],"owner":{"name":"Mike","githubUrl":"https://github.com/mikel-brostrom"},"license":"AGPL-3.0","stars":8316,"contributors":54,"monthlyDownloads":68170,"lastPushedAt":"2026-10-17T23:12:01Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"data-juicer","name":"Data-Juicer","repo":"datajuicer/data-juicer","githubUrl":"https://github.com/datajuicer/data-juicer","homepage":"https://datajuicer.github.io/data-juicer/","pageUrl":"/repo/data-juicer","category":"Training & fine-tuning","tagline":"A toolkit for cleaning and preparing data to train and improve AI models.","whatItDoes":["Data-Juicer is a toolkit for turning raw, messy data into clean data ready for AI. It provides many building blocks to clean, create and analyse text, image, audio and video data.","Its makers say you can write reusable recipes and scale the work from a single laptop up to large clusters of computers.","It is used for tasks such as cleaning data for training models, preparing data for agents, and building search indexes."],"whoFor":"Machine learning engineers and researchers preparing data to train or improve AI models.","useWithoutCoding":"Developers only","keywords":["data processing","training data","dataset","cleaning","foundation models"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"DataJuicer","githubUrl":"https://github.com/datajuicer"},"license":"Apache-2.0","stars":7154,"contributors":65,"monthlyDownloads":1771,"lastPushedAt":"2026-10-16T09:22:40Z","sources":[{"site":"Research paper","title":"Data-Juicer","url":"https://arxiv.org/abs/2501.14755","date":"2025-01-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"prompt-engineering","name":"Prompt Engineering Techniques","repo":"NirDiamant/Prompt_Engineering","githubUrl":"https://github.com/NirDiamant/Prompt_Engineering","homepage":"https://diamant-ai.com/","pageUrl":"/repo/prompt-engineering","category":"Learning resources","tagline":"Hands-on tutorials teaching techniques for writing better prompts for AI chat models.","whatItDoes":["This is a collection of 22 tutorials on prompt engineering, the skill of wording instructions so AI models give better answers.","It moves from basics like prompt templates to advanced methods such as step-by-step reasoning and comparing several answers. Each tutorial is a notebook that mixes explanation with runnable code.","The README also promotes a separate paid course from the same author."],"whoFor":"People who use or build with AI models and want to get more reliable results.","useWithoutCoding":"Developers only","keywords":["prompt engineering","chatgpt tips","prompts","llm tutorial"],"rating":2,"tags":["New this week"],"owner":{"name":"Nir Diamant","githubUrl":"https://github.com/NirDiamant"},"license":"NOASSERTION","stars":7907,"contributors":8,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T15:18:20Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the repository and start with the first beginner tutorial."],"officialDownload":null},{"slug":"jev-chat","name":"jev-chat","repo":"jev-chat/jev-chat-jarvis","githubUrl":"https://github.com/jev-chat/jev-chat-jarvis","homepage":"https://chatjevs.com/","pageUrl":"/repo/jev-chat","category":"Everyday tools","tagline":"Reads a chat on your screen, works out what the other person means, and drafts replies for you to send.","whatItDoes":["jev-chat is a reply helper for messaging apps. Before suggesting anything, it reads the conversation and judges what the other person really wants and how delicate the moment is. Then it drafts several replies, ranked by how well they fit.","You tap a reply to put it in the message box, and you always press send yourself. It works on Android with WhatsApp, QQ, Feishu and X, beside chat windows on Windows and Mac, and as a keyboard on iPhone.","Its makers say chats go only to the AI provider you set up, with your own key, and they run no server of their own. The README warns that using it inside other apps may break those apps' rules and could get your account restricted."],"whoFor":"People who want help reading the tone of a conversation and writing a careful reply.","useWithoutCoding":"Yes","keywords":["reply suggestions","whatsapp","chat helper","message tone","texting"],"rating":2,"tags":["New this week"],"owner":{"name":"jev-chat","githubUrl":"https://github.com/jev-chat"},"license":"MIT","stars":7889,"contributors":17,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T09:46:28Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Phone","Windows","Mac"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Download the app for your phone or computer from the project's releases page.","Open it, follow its guide to allow screen reading, and add a key from your chosen AI provider."],"officialDownload":"https://github.com/jev-chat/jev-chat-jarvis/releases"},{"slug":"wechat-bot","name":"WeChat Bot","repo":"wangrongding/wechat-bot","githubUrl":"https://github.com/wangrongding/wechat-bot","homepage":null,"pageUrl":"/repo/wechat-bot","category":"Chat assistants","tagline":"Lets an AI model reply to messages for you in WeChat, Telegram, WhatsApp or Lark.","whatItDoes":["WeChat Bot connects your messaging accounts to AI services such as ChatGPT, Claude, DeepSeek, Kimi or a local Ollama model. When a message arrives from an approved friend or group, the AI writes and sends a reply.","It works with WeChat (by scanning a login QR code), Lark, Telegram and WhatsApp. It can also look through local WeChat chat history and use AI to summarise group or friend conversations.","The README warns that the WeChat connection uses unofficial methods that can lead to warnings or bans on your account, and advises using narrow allow-lists."],"whoFor":"Technical users who want an AI auto-reply assistant in their chat apps.","useWithoutCoding":"Developers only","keywords":["wechat ai","auto reply","chatbot","telegram bot","whatsapp ai"],"rating":2,"tags":["New this week"],"owner":{"name":"荣顶","githubUrl":"https://github.com/wangrongding"},"license":"MIT","stars":11443,"contributors":32,"monthlyDownloads":null,"lastPushedAt":"2026-09-04T02:33:31Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"awesome-agentic-ai-zh","name":"awesome-agentic-ai-zh","repo":"WenyuChiou/awesome-agentic-ai-zh","githubUrl":"https://github.com/WenyuChiou/awesome-agentic-ai-zh","homepage":"https://wenyuchiou.github.io/awesome-agentic-ai-zh/","pageUrl":"/repo/awesome-agentic-ai-zh","category":"Learning resources","tagline":"A step-by-step learning map for AI agents, from the basics of chat models to building reliable agent systems.","whatItDoes":["This is a learning roadmap for AI agents, written in Traditional Chinese, Simplified Chinese and English. It explains key terms in plain words and puts lessons, exercises and hand-picked resources in order.","There are routes for different readers: one for using ready-made command-line agents like Claude Code, one for building your own agents, and one for everyday users who don't code. It also has guides for researchers, teachers and office workers."],"whoFor":"Learners at any level who want a structured path into AI agents, especially Chinese speakers.","useWithoutCoding":"Yes","keywords":["learn ai agents","ai course","chinese","roadmap","beginner"],"rating":2,"tags":["New this week"],"owner":{"name":"Wenyu Chiou","githubUrl":"https://github.com/WenyuChiou"},"license":"MIT","stars":7728,"contributors":14,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T04:04:52Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the project's online guide.","Pick the route that matches you, such as the everyday user guide or Stage 0 for complete beginners."],"officialDownload":null},{"slug":"skorch","name":"skorch","repo":"skorch-dev/skorch","githubUrl":"https://github.com/skorch-dev/skorch","homepage":null,"pageUrl":"/repo/skorch","category":"Developer building blocks","tagline":"Lets programmers use PyTorch neural networks with the familiar tools of the scikit-learn library.","whatItDoes":["PyTorch is a popular toolkit for building neural networks, and scikit-learn is a popular, simpler library for machine learning in Python. skorch joins the two.","It wraps a PyTorch network so it behaves like any scikit-learn model. That means developers can train it, use it in data-processing pipelines and search for the best settings with tools they already know.","It also adds helpful extras for training and works with Hugging Face models."],"whoFor":"Data scientists and machine-learning developers who use scikit-learn and want to add neural networks.","useWithoutCoding":"Developers only","keywords":["pytorch","scikit-learn","neural networks","machine learning","python"],"rating":2,"tags":["New this week"],"owner":{"name":"skorch-dev","githubUrl":"https://github.com/skorch-dev"},"license":"BSD-3-Clause","stars":6183,"contributors":76,"monthlyDownloads":74557,"lastPushedAt":"2026-09-22T13:47:11Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"oh-story","name":"Oh Story","repo":"zenstory-ai/oh-story-claudecode","githubUrl":"https://github.com/zenstory-ai/oh-story-claudecode","homepage":"https://zenstory.ai/oh-story","pageUrl":"/repo/oh-story","category":"Add-ons for AI coding tools","tagline":"Skills that help AI coding assistants plan, write and polish Chinese web novels.","whatItDoes":["Oh Story is a set of 13 skills for AI coding assistants such as Claude Code, Codex and OpenCode, aimed at writing Chinese web novels, both long and short.","It covers the whole process: studying popular charts for ideas, breaking down successful stories, building outlines, writing chapters, removing text that sounds AI-written, and making cover images.","It keeps settings, outlines, chapters and story tracking in separate files, so it can pick up where it left off across sessions. It uses the assistant's own AI model, with no graphics card or extra model needed."],"whoFor":"Writers of Chinese online fiction who already use an AI coding assistant.","useWithoutCoding":"With some setup","keywords":["novel writing","web novel","fiction writing","writing assistant","claude code skill"],"rating":2,"tags":["New this week"],"owner":{"name":"ZenStory AI","githubUrl":"https://github.com/zenstory-ai"},"license":"MIT","stars":7725,"contributors":8,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T01:05:23Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install the skills into your AI coding assistant, or ask the assistant to install them from the project.","Run the story setup skill inside your writing folder, then start a new session.","Ask it to help you research, outline or write your story."],"officialDownload":null},{"slug":"awesome-chinese-llm","name":"Awesome Chinese LLM","repo":"AiHubCN/Awesome-Chinese-LLM","githubUrl":"https://github.com/AiHubCN/Awesome-Chinese-LLM","homepage":null,"pageUrl":"/repo/awesome-chinese-llm","category":"Learning resources","tagline":"A curated list of open Chinese-language AI models, apps, datasets and tutorials.","whatItDoes":["This list collects open-source resources for large language models (LLMs) that work in Chinese. It focuses on smaller models that can be run privately and trained at lower cost.","It covers base models such as ChatGLM, Qwen and DeepSeek, versions tuned for fields like medicine, law, finance and education, plus datasets, training and deployment tools, evaluations and tutorials. The list itself is written in Chinese."],"whoFor":"Developers and researchers working with Chinese-language AI, and readers of Chinese curious about the field.","useWithoutCoding":"Yes","keywords":["chinese ai","chinese models","llm list","resources"],"rating":2,"tags":[],"owner":{"name":"AiHubCN","githubUrl":"https://github.com/AiHubCN"},"license":null,"stars":22772,"contributors":34,"monthlyDownloads":null,"lastPushedAt":"2026-05-10T05:03:06Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Follow the links to each project's own page to learn more."],"officialDownload":null},{"slug":"summarize","name":"Summarize","repo":"steipete/summarize","githubUrl":"https://github.com/steipete/summarize","homepage":"https://summarize.sh/","pageUrl":"/repo/summarize","category":"Everyday tools","tagline":"Get the gist of any web page, YouTube video, podcast or file, from your browser or terminal.","whatItDoes":["Summarize pulls clean text out of web pages, PDFs, images, YouTube videos, podcasts and other audio or video, and then writes a short summary with AI.","It uses existing captions or podcast transcripts when there are any, and transcribes the audio when there aren't. It can also grab slides from videos with timestamps.","You can use it as a browser side panel in Chrome or Firefox, where you can also chat about the page, or as a command-line tool. It works with many AI providers, local models through Ollama, or coding tools you're already signed in to."],"whoFor":"Anyone who wants quick summaries of long articles, videos or podcasts, and developers who want summaries in their scripts.","useWithoutCoding":"Yes","keywords":["summarize","youtube summary","podcast","article summary","browser extension"],"rating":2,"tags":["New this week"],"owner":{"name":"Peter Steinberger","githubUrl":"https://github.com/steipete"},"license":"MIT","stars":6719,"contributors":67,"monthlyDownloads":15927,"lastPushedAt":"2026-10-16T18:29:39Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Web browser","Mac"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install the Summarize side panel from the Chrome Web Store.","Set up an AI provider or a local model in its options.","Open a page or video and ask for a summary."],"officialDownload":"https://github.com/steipete/summarize/releases"},{"slug":"pumpkin-book","name":"Pumpkin Book (南瓜书)","repo":"datawhalechina/pumpkin-book","githubUrl":"https://github.com/datawhalechina/pumpkin-book","homepage":null,"pageUrl":"/repo/pumpkin-book","category":"Learning resources","tagline":"A free Chinese-language companion that explains the hard maths in a classic machine learning textbook.","whatItDoes":["The Pumpkin Book is a study guide for Zhou Zhihua's \"Machine Learning\", a well-known Chinese textbook often called the Watermelon Book. The textbook skips many of the steps in its formulas.","This guide fills in those steps, explaining how each formula is worked out using undergraduate-level maths. Its makers suggest reading the textbook first and turning to this guide when you get stuck.","It is in Chinese. A PDF version and video lessons are available, and a printed edition has also been published."],"whoFor":"Students who read Chinese and are studying machine learning with the Watermelon Book.","useWithoutCoding":"Yes","keywords":["machine learning","textbook","maths","study guide","chinese"],"rating":2,"tags":[],"owner":{"name":"Datawhale","githubUrl":"https://github.com/datawhalechina"},"license":"NOASSERTION","stars":26128,"contributors":28,"monthlyDownloads":null,"lastPushedAt":"2026-04-22T20:35:48Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Download the free PDF from the project's releases page.","Read it alongside Zhou Zhihua's Machine Learning textbook, the Watermelon Book.","Look up a formula here whenever you can't follow its derivation in the textbook."],"officialDownload":"https://github.com/datawhalechina/pumpkin-book/releases"},{"slug":"paper-qa","name":"PaperQA2","repo":"Future-House/paper-qa","githubUrl":"https://github.com/Future-House/paper-qa","homepage":"https://futurehouse.gitbook.io/futurehouse-cookbook","pageUrl":"/repo/paper-qa","category":"Documents & knowledge","tagline":"Answers questions about a folder of research papers, with citations to the exact pages used.","whatItDoes":["PaperQA2 reads your PDFs, text files, Office documents and code, with a focus on scientific papers. You ask a question and it writes an answer that cites the documents and pages it relied on.","It uses RAG, short for retrieval-augmented generation: it first finds the most relevant passages, then has an AI model write an answer from them. It can also look up details about papers, such as citation counts and retractions.","Its makers report strong results on science tasks like answering questions, summarising and spotting contradictions. It works with many AI providers."],"whoFor":"Scientists, students and researchers who need trustworthy answers drawn from a stack of papers.","useWithoutCoding":"Developers only","keywords":["research papers","ask questions about pdfs","scientific literature","citations","rag"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"FutureHouse","githubUrl":"https://github.com/Future-House"},"license":"Apache-2.0","stars":9406,"contributors":42,"monthlyDownloads":65413,"lastPushedAt":"2026-10-13T21:49:06Z","sources":[{"site":"Research paper","title":"PaperQA","url":"https://arxiv.org/abs/2312.07559","date":"2023-12-01"},{"site":"Research paper","title":"PaperQA2","url":"https://arxiv.org/abs/2409.13740","date":"2024-09-01"}],"checkedByPerson":false,"cost":null,"runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"trail-code","name":"Trail-code","repo":"trailhq/Trail-Code","githubUrl":"https://github.com/trailhq/Trail-Code","homepage":"https://trailhq.com/graft","pageUrl":"/repo/trail-code","category":"Add-ons for AI coding tools","tagline":"Gives AI coding assistants a map of your code and remembers what your team has learned.","whatItDoes":["Trail-code is an add-on for AI coding assistants like Claude Code, Cursor and Codex. It builds a map of a codebase, showing every function and what calls it, so the assistant can find the right files quickly.","It also saves 'learnings', notes about decisions and lessons from past sessions, so the next session or a teammate can pick up where others left off. It can warn when a change goes against an earlier team decision.","Its makers report that in their tests agents used fewer steps, less time and less money. They say both parts run on your machine, and the code map needs no AI model or key."],"whoFor":"Programmers and teams using AI coding assistants on larger codebases.","useWithoutCoding":"Developers only","keywords":["claude code","coding agent","code map","team memory","cursor"],"rating":2,"tags":["New this week"],"owner":{"name":"Trail","githubUrl":"https://github.com/trailhq"},"license":"MIT","stars":10400,"contributors":36,"monthlyDownloads":645,"lastPushedAt":"2026-10-18T11:33:26Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"instant-ngp","name":"Instant Neural Graphics Primitives","repo":"NVlabs/instant-ngp","githubUrl":"https://github.com/NVlabs/instant-ngp","homepage":"https://nvlabs.github.io/instant-ngp","pageUrl":"/repo/instant-ngp","category":"3D & design","tagline":"Turns a set of photos into a 3D scene you can fly around, in seconds, using NVIDIA graphics cards.","whatItDoes":["This NVIDIA research project quickly trains small neural networks to represent images and 3D scenes. Its best-known use is NeRF: give it photos of a place or object from different angles, and it builds a 3D scene you can move through.","It comes with an interactive app that includes a VR mode, a camera-path editor for making videos, and tools to turn scenes into 3D models.","It is the code for a research paper presented at SIGGRAPH in 2022."],"whoFor":"3D artists, researchers and hobbyists with an NVIDIA graphics card who want to try photo-to-3D.","useWithoutCoding":"With some setup","keywords":["nerf","3d from photos","3d scan","graphics","nvidia"],"rating":2,"tags":["Research-backed"],"owner":{"name":"NVIDIA Research Projects","githubUrl":"https://github.com/NVlabs"},"license":"NOASSERTION","stars":17576,"contributors":47,"monthlyDownloads":null,"lastPushedAt":"2026-02-02T12:32:34Z","sources":[{"site":"Research paper","title":"Instant Neural Graphics Primitives with a Multiresolution Hash Encoding","url":"https://nvlabs.github.io/instant-ngp/assets/mueller2022instant.pdf","date":"2022-07-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["On Windows, download the release that matches your NVIDIA graphics card and unzip it.","Start the Instant NGP program.","Drag the sample fox folder into the window to watch it build a 3D scene."],"officialDownload":"https://github.com/NVlabs/instant-ngp/releases"},{"slug":"awesome-mlops","name":"Awesome MLOps","repo":"kelvins/awesome-mlops","githubUrl":"https://github.com/kelvins/awesome-mlops","homepage":null,"pageUrl":"/repo/awesome-mlops","category":"Learning resources","tagline":"A curated list of tools and reading for running machine learning projects in real-world use.","whatItDoes":["MLOps means the practices and tools for building, launching and looking after machine learning systems. This is a curated list of such tools.","It is grouped by topic, such as automated machine learning, data checking, feature stores, model serving, monitoring and fairness. It also lists articles, books, podcasts and events."],"whoFor":"Data scientists and engineers looking for MLOps tools and learning material.","useWithoutCoding":"Yes","keywords":["mlops","machine learning tools","data science","resources"],"rating":2,"tags":["New this week"],"owner":{"name":"Kelvin S. do Prado","githubUrl":"https://github.com/kelvins"},"license":null,"stars":5287,"contributors":88,"monthlyDownloads":null,"lastPushedAt":"2026-08-17T00:21:28Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the list and jump to the topic you're interested in."],"officialDownload":null},{"slug":"product-manager-skills","name":"Product Manager Skills","repo":"deanpeters/Product-Manager-Skills","githubUrl":"https://github.com/deanpeters/Product-Manager-Skills","homepage":null,"pageUrl":"/repo/product-manager-skills","category":"Add-ons for AI coding tools","tagline":"A library of product-management frameworks packaged so AI assistants can help with real PM work.","whatItDoes":["This project packages dozens of well-known product-management methods as skills that AI assistants such as Claude Code, Codex and ChatGPT can read. Examples include writing user stories and product requirement documents, mapping stakeholders, prioritising features and sizing markets.","Its maker says the aim is twofold: help the AI do professional-quality PM work, and teach the person the reasoning behind each framework."],"whoFor":"Product managers and product leaders who use AI assistants in their work.","useWithoutCoding":"With some setup","keywords":["product management","prd","user stories","claude skills","roadmap"],"rating":2,"tags":["New this week"],"owner":{"name":"Dean Peters","githubUrl":"https://github.com/deanpeters"},"license":"NOASSERTION","stars":7478,"contributors":6,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T01:51:12Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"agent-s","name":"Agent S","repo":"simular-ai/Agent-S","githubUrl":"https://github.com/simular-ai/Agent-S","homepage":"https://www.simular.ai/","pageUrl":"/repo/agent-s","category":"AI agents","tagline":"An open-source AI agent that uses your computer like a person, clicking, typing and scrolling to finish tasks.","whatItDoes":["Agent S is a \"computer use\" agent. You describe a task in plain words, and it looks at the screen and completes the task by moving the mouse, clicking and typing in ordinary desktop and web apps.","It works on Mac, Windows and Linux and can use AI models from OpenAI, Anthropic and open-model providers. Its makers say their latest version scored higher than humans on a well-known test of computer tasks.","The README warns that the agent runs code to control your computer, so it should be used with care. The company behind it also offers a hosted version."],"whoFor":"Researchers and developers exploring AI that operates a computer, and technical users who want to automate desktop tasks.","useWithoutCoding":"Developers only","keywords":["computer use","automate my computer","ai agent","desktop automation","gui agent"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"Simular","githubUrl":"https://github.com/simular-ai"},"license":"Apache-2.0","stars":12647,"contributors":27,"monthlyDownloads":1565,"lastPushedAt":"2026-10-08T22:27:33Z","sources":[{"site":"Research paper","title":"Agent S paper","url":"https://arxiv.org/abs/2410.08164","date":"2024-10-10"},{"site":"Research paper","title":"Agent S2 paper","url":"https://arxiv.org/abs/2504.00906","date":"2025-04-01"},{"site":"Research paper","title":"Scaling Agents for Computer Use","url":"https://arxiv.org/abs/2510.02250","date":"2025-10-02"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"codex-with-chatgpt","name":"Codex with ChatGPT","repo":"XiaoDuoYa/codex-with-chatgpt","githubUrl":"https://github.com/XiaoDuoYa/codex-with-chatgpt","homepage":null,"pageUrl":"/repo/codex-with-chatgpt","category":"Add-ons for AI coding tools","tagline":"Uses the ChatGPT website as the planner and reviewer for the Codex coding agent, which does the work.","whatItDoes":["This project links the ChatGPT web app with Codex, OpenAI's coding agent. ChatGPT does the planning and code review, and Codex carries out the changes.","ChatGPT reads only the lines of code it needs through a secure, read-only connection to your project. The makers say your repository is never uploaded as a whole.","The goal is to use the ChatGPT subscription you already pay for, instead of spending scarce Codex or API allowance on planning."],"whoFor":"Developers who use Codex and have a paid ChatGPT subscription.","useWithoutCoding":"Developers only","keywords":["codex","chatgpt","coding agent","code review","mcp"],"rating":2,"tags":["New this week"],"owner":{"name":"XiaoDuoYa","githubUrl":"https://github.com/XiaoDuoYa"},"license":"MIT","stars":7454,"contributors":18,"monthlyDownloads":null,"lastPushedAt":"2026-10-01T05:19:24Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Make sure you have Codex and a paid ChatGPT subscription.","Ask Codex to install and set up the project using the instructions in its README.","Connect it to ChatGPT when asked, then start a coding session."],"officialDownload":null},{"slug":"tch-rs","name":"tch-rs","repo":"LaurentMazare/tch-rs","githubUrl":"https://github.com/LaurentMazare/tch-rs","homepage":null,"pageUrl":"/repo/tch-rs","category":"Developer building blocks","tagline":"Lets programmers use PyTorch, a leading AI toolkit, from the Rust programming language.","whatItDoes":["PyTorch is one of the most widely used tools for building and running AI models. tch-rs is a thin bridge that lets programs written in Rust, a fast and safe programming language, use PyTorch's core engine.","It stays close to PyTorch's own C++ interface, so other, more Rust-friendly tools can be built on top. It needs the PyTorch C++ library on your computer, which it can download automatically."],"whoFor":"Rust developers who want to train or run AI models.","useWithoutCoding":"Developers only","keywords":["rust","pytorch","deep learning","machine learning"],"rating":2,"tags":["New this week"],"owner":{"name":"Laurent Mazare","githubUrl":"https://github.com/LaurentMazare"},"license":"Apache-2.0","stars":5504,"contributors":82,"monthlyDownloads":null,"lastPushedAt":"2026-08-23T16:46:54Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"app-store-screenshots","name":"App Store Screenshots Generator","repo":"ParthJadhav/app-store-screenshots","githubUrl":"https://github.com/ParthJadhav/app-store-screenshots","homepage":"https://www.parthjadhav.com/products/app-store-screenshots","pageUrl":"/repo/app-store-screenshots","category":"Add-ons for AI coding tools","tagline":"A skill that has your AI coding assistant build an editor for App Store and Google Play screenshots.","whatItDoes":["This is a skill for AI coding agents. It sets up a screenshot editor that turns raw app captures into marketing images for the App Store and Google Play.","The editor has real device frames, big headline text, themes and 18 visual styles. Images can stretch across neighbouring screenshots, and it exports every size the stores require.","It covers iPhone, iPad, Mac, Apple Watch, Apple TV and Android devices, and supports several languages, including right-to-left ones."],"whoFor":"App makers who want polished store screenshots and use an AI coding assistant.","useWithoutCoding":"Developers only","keywords":["app store screenshots","google play","app marketing","design","claude skill"],"rating":2,"tags":["New this week"],"owner":{"name":"Parth Jadhav","githubUrl":"https://github.com/ParthJadhav"},"license":"MIT","stars":7428,"contributors":13,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T08:23:02Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"magenticlite","name":"MagenticLite (Magentic-UI)","repo":"microsoft/magentic-ui","githubUrl":"https://github.com/microsoft/magentic-ui","homepage":"https://www.microsoft.com/en-us/research/blog/magenticlite-magenticbrain-fara1-5-an-agentic-experience-optimized-for-small-models/","pageUrl":"/repo/magenticlite","category":"AI agents","tagline":"An experimental Microsoft AI assistant that does web and file tasks for you, checking in before important steps.","whatItDoes":["MagenticLite is the next version of Magentic-UI, an experimental agent from Microsoft. It can work in a web browser and on files on your computer, for example researching online, filling in forms or organising folders.","Its makers say it is designed to work well with small AI models rather than the biggest ones. It keeps you in control: you can steer it, approve actions or take over, and it stops to ask before critical actions.","Browser sessions run in a small sandbox, a sealed-off virtual computer, so the agent cannot reach the rest of your machine without permission. You connect it to an AI model service you choose."],"whoFor":"Curious technical users and researchers who want to try a cautious, human-in-the-loop AI assistant.","useWithoutCoding":"With some setup","keywords":["ai assistant","browser agent","automate web tasks","fill forms","microsoft"],"rating":2,"tags":["New this week"],"owner":{"name":"Microsoft","githubUrl":"https://github.com/microsoft"},"license":"MIT","stars":10096,"contributors":36,"monthlyDownloads":598,"lastPushedAt":"2026-09-23T23:43:21Z","sources":[{"site":"Hacker News","title":"Microsoft takes .NET open source and cross-platform","url":"https://news.ycombinator.com/item?id=8595905","date":"2014-11-12"},{"site":"Hacker News","title":"Microsoft to Acquire Activision Blizzard","url":"https://news.ycombinator.com/item?id=29978723","date":"2022-01-18"}],"checkedByPerson":false,"cost":null,"runsOn":["Mac","Windows"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Install Python and the project's package by following the README's quick start.","Start MagenticLite and open it in your web browser.","Follow the in-app setup to connect an AI model, then give it a task."],"officialDownload":null},{"slug":"final2x","name":"Final2x","repo":"EutropicAI/Final2x","githubUrl":"https://github.com/EutropicAI/Final2x","homepage":null,"pageUrl":"/repo/final2x","category":"Images & video","tagline":"A desktop app that uses AI to enlarge images and make them sharper.","whatItDoes":["Final2x is an image super-resolution tool: it uses AI to make small or low-quality pictures bigger and clearer.","It comes with built-in models, and you can load your own. It runs on Windows, macOS and Linux."],"whoFor":"Anyone who wants to upscale photos, artwork or screenshots without paying for an online service.","useWithoutCoding":"Yes","keywords":["upscale image","image enhancer","super resolution","sharpen photo"],"rating":2,"tags":["New this week"],"owner":{"name":"Eutropic","githubUrl":"https://github.com/EutropicAI"},"license":"BSD-3-Clause","stars":7387,"contributors":11,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T07:38:11Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Download the latest release for your computer from the project's releases page.","On a Mac, if the app is blocked the first time, follow the README's one-time fix.","Open an image in the app and choose a model to enlarge it."],"officialDownload":"https://github.com/EutropicAI/Final2x/releases"},{"slug":"open-multi-agent","name":"Open Multi-Agent (OMA)","repo":"open-multi-agent/open-multi-agent","githubUrl":"https://github.com/open-multi-agent/open-multi-agent","homepage":"https://open-multi-agent.com/go/repo","pageUrl":"/repo/open-multi-agent","category":"Developer building blocks","tagline":"A self-hosted toolkit for building AI agents whose important actions wait for a person's approval.","whatItDoes":["Open Multi-Agent is a code library for running AI agents, alone or in teams, on your own systems. Actions that matter, like changing files or running commands, can pause until a person approves them.","Every run leaves a record that its makers say can be checked later to prove exactly what happened. It works with cloud AI providers or local models such as Ollama, and the README says it has no tracking and no hosted control service."],"whoFor":"Developers and organisations that want AI agents with human sign-off and a clear audit trail.","useWithoutCoding":"Developers only","keywords":["ai agents","human approval","audit","self-hosted","typescript"],"rating":2,"tags":["New this week"],"owner":{"name":"OMA","githubUrl":"https://github.com/open-multi-agent"},"license":"MIT","stars":7005,"contributors":59,"monthlyDownloads":20617,"lastPushedAt":"2026-10-18T13:38:47Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Server"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"glm-5","name":"GLM-5","repo":"zai-org/GLM-5","githubUrl":"https://github.com/zai-org/GLM-5","homepage":"https://z.ai/blog/glm-5.2","pageUrl":"/repo/glm-5","category":"AI models & research","tagline":"A family of large open AI models from Z.ai, built for coding and long, multi-step tasks.","whatItDoes":["GLM-5 is a series of large language models from Z.ai, with several newer versions such as GLM-5.1, 5.2 and 5.3. The model files are published openly, so others can download and run them.","Its makers say the models are especially strong at writing code and at long tasks where an AI agent works for a long time on its own. They report that GLM-5.2 can handle very long inputs of about a million tokens (pieces of text). The models are very large and are meant to run on powerful servers, but they can also be used through Z.ai's online service."],"whoFor":"AI researchers and companies who want to run or build on a large open model. Others can try it through Z.ai's website.","useWithoutCoding":"Developers only","keywords":["open model","glm","coding ai","large language model","zhipu"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"Z.ai","githubUrl":"https://github.com/zai-org"},"license":"Apache-2.0","stars":7355,"contributors":7,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T01:36:08Z","sources":[{"site":"Research paper","title":"GLM-5 technical report","url":"https://arxiv.org/abs/2602.15763","date":"2026-02-01"},{"site":"Research paper","title":"IndexShare paper","url":"https://arxiv.org/abs/2603.12201","date":"2026-03-01"},{"site":"Hacker News","title":"GLM-5.3: Frontier coding with emergent cyber capabilities","url":"https://news.ycombinator.com/item?id=49294997","date":"2026-08-14"},{"site":"Hacker News","title":"GLM-5.3-Flash","url":"https://news.ycombinator.com/item?id=49449507","date":"2026-08-26"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Cloud"],"hardware":"Made for servers or data centres","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"fastapi-mcp","name":"FastAPI-MCP","repo":"tadata-org/fastapi_mcp","githubUrl":"https://github.com/tadata-org/fastapi_mcp","homepage":"https://fastapi-mcp.tadata.com/","pageUrl":"/repo/fastapi-mcp","category":"Developer building blocks","tagline":"Turns an existing FastAPI web service into tools that AI assistants can use, with login checks included.","whatItDoes":["FastAPI is a popular way to build web services in Python. FastAPI-MCP takes the endpoints of such a service and exposes them as MCP tools. MCP (Model Context Protocol) is a standard way for AI assistants like Claude or Cursor to use outside tools.","Its makers say it needs little or no setup and keeps your existing documentation and data formats. It can reuse the service's existing authentication, so only allowed users can call the tools."],"whoFor":"Python developers who already run a FastAPI service and want AI assistants to use it.","useWithoutCoding":"Developers only","keywords":["mcp","fastapi","ai tools","api","python"],"rating":2,"tags":["New this week"],"owner":{"name":"Tadata","githubUrl":"https://github.com/tadata-org"},"license":"MIT","stars":12023,"contributors":18,"monthlyDownloads":4810832,"lastPushedAt":"2025-11-24T14:51:54Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Server"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"browser-tools-mcp","name":"BrowserTools MCP","repo":"AgentDeskAI/browser-tools-mcp","githubUrl":"https://github.com/AgentDeskAI/browser-tools-mcp","homepage":"https://agentdesk.ai/","pageUrl":"/repo/browser-tools-mcp","category":"Add-ons for AI coding tools","tagline":"Lets AI coding assistants see what's happening in your real Chrome browser while you debug a website.","whatItDoes":["BrowserTools MCP connects AI coding tools, such as Cursor or Claude Code, to the Chrome window you are already using. The AI can then see error messages, network activity and screenshots from the page you're working on.","Because it uses your normal browser, you stay logged in to your app. It can also run Lighthouse checks, Google's reports on speed, accessibility and search-friendliness.","The README says a major rewrite removed an open local server and scrubs login details before data leaves the browser, and it urges users of older versions to upgrade because of a serious security flaw."],"whoFor":"Web developers who use AI coding assistants and want them to help debug live pages.","useWithoutCoding":"With some setup","keywords":["chrome","debugging","cursor","mcp","web development"],"rating":2,"tags":["New this week"],"owner":{"name":"AgentDeskAI","githubUrl":"https://github.com/AgentDeskAI"},"license":"MIT","stars":7327,"contributors":7,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T18:21:25Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Download the project and load its Chrome extension using Chrome's developer mode.","Open your website in Chrome and ask your AI assistant to check the page's logs or take a screenshot."],"officialDownload":null},{"slug":"waza","name":"Waza","repo":"tw93/Waza","githubUrl":"https://github.com/tw93/Waza","homepage":null,"pageUrl":"/repo/waza","category":"Add-ons for AI coding tools","tagline":"A set of ready-made skills that teach AI coding assistants good engineering habits.","whatItDoes":["Waza is a bundle of eight skills, packaged instructions and helper files that AI coding assistants like Claude Code, Codex and Cursor can follow.","Each skill covers one habit: planning before building, designing interfaces, reviewing changes, hunting down bugs, polishing writing, researching a new topic, reading a web page or PDF, and checking your AI setup.","You call a skill by name, and can chain them, for example planning a feature, building it, then reviewing it."],"whoFor":"Programmers who use AI coding assistants and want more consistent results.","useWithoutCoding":"With some setup","keywords":["claude code skills","ai coding tips","code review","debugging"],"rating":2,"tags":["New this week"],"owner":{"name":"Tw93","githubUrl":"https://github.com/tw93"},"license":"MIT","stars":7324,"contributors":17,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T08:14:09Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["For Claude Desktop, download the Waza ZIP file from the project's releases page.","In Claude Desktop, open the skills settings, create a new skill and upload the ZIP.","Coding-tool users can instead install it with the single command shown in the README."],"officialDownload":"https://github.com/tw93/Waza/releases"},{"slug":"dayflow","name":"Dayflow","repo":"JerryZLiu/Dayflow","githubUrl":"https://github.com/JerryZLiu/Dayflow","homepage":"https://www.dayflow.so/","pageUrl":"/repo/dayflow","category":"Everyday tools","tagline":"A Mac app that watches your screen and automatically writes a timeline of what you worked on each day.","whatItDoes":["Dayflow runs quietly on your Mac, records short pieces of screen activity and uses AI to turn them into a timeline of your day. It tries to understand what you were doing, not just which app was open.","From that timeline it prepares daily stand-up notes, a weekly review of focus and distractions, and lets you ask questions about your work in plain language. You can export the timeline as text.","Recordings and data stay on your Mac by default. You choose the AI: local models through Ollama or LM Studio, or a cloud service such as Gemini, ChatGPT or Claude, in which case activity data is sent to that service."],"whoFor":"Mac users who want an automatic work journal or time tracker without starting timers.","useWithoutCoding":"Yes","keywords":["time tracker","work journal","productivity","screen recording","mac app"],"rating":2,"tags":["New this week"],"owner":{"name":"Jerry Liu","githubUrl":"https://github.com/JerryZLiu"},"license":"MIT","stars":7280,"contributors":8,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T08:04:13Z","sources":[{"site":"Hacker News","title":"Show HN: Dayflow – A git log for your day","url":"https://news.ycombinator.com/item?id=45361268","date":"2025-09-24"}],"checkedByPerson":false,"cost":null,"runsOn":["Mac"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download Dayflow for Mac from the project's GitHub releases page and drag it into Applications.","Grant screen recording permission when asked.","Choose a local model or an AI service to analyse your activity."],"officialDownload":"https://github.com/JerryZLiu/Dayflow/releases"},{"slug":"mobilerun","name":"Mobilerun","repo":"droidrun/mobilerun","githubUrl":"https://github.com/droidrun/mobilerun","homepage":"https://mobilerun.ai/framework","pageUrl":"/repo/mobilerun","category":"AI agents","tagline":"Lets an AI agent control Android and iPhone devices from plain-language instructions.","whatItDoes":["Mobilerun is a framework that lets AI agents operate a phone: reading what is on screen, tapping, swiping and typing to complete multi-step tasks you describe in plain words.","It works with many AI providers, including OpenAI, Anthropic, Gemini and local models through Ollama. You can drive it from a command line, a terminal screen, Docker or Python code.","Suggested uses include testing mobile apps, automating repetitive phone tasks and pulling information out of apps. A separate paid cloud service offers managed phones."],"whoFor":"Developers and testers who want to automate tasks on mobile devices.","useWithoutCoding":"With some setup","keywords":["phone automation","android automation","mobile agent","app testing"],"rating":2,"tags":["New this week"],"owner":{"name":"Droidrun","githubUrl":"https://github.com/droidrun"},"license":"MIT","stars":9690,"contributors":37,"monthlyDownloads":5819,"lastPushedAt":"2026-10-16T22:27:17Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Phone"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Mobilerun with Python's tools, following the README.","Connect an Android or iOS device by following the device setup guide.","Give it a task in plain words and watch it work on the phone."],"officialDownload":null},{"slug":"exa-mcp-server","name":"Exa MCP Server","repo":"exa-labs/exa-mcp-server","githubUrl":"https://github.com/exa-labs/exa-mcp-server","homepage":"https://exa.ai/docs/reference/exa-mcp","pageUrl":"/repo/exa-mcp-server","category":"Add-ons for AI coding tools","tagline":"Connects AI assistants to Exa's web search so they can look things up and read web pages.","whatItDoes":["This connects AI assistants to Exa, a web search service, using MCP, a standard way to give AI apps extra tools. Once added, your assistant can search the web and read full web pages as clean text.","Optional tools add advanced search with filters, and Exa's research agent for multi-step research and list-building. It works with Claude, ChatGPT and Codex, Cursor, VS Code, LM Studio and many other apps.","The hosted service works without an account, with usage limits. Signing in or using an Exa API key gives higher limits and the research agent."],"whoFor":"People who want their AI assistant or coding agent to search the web for up-to-date information.","useWithoutCoding":"With some setup","keywords":["web search","mcp","ai assistant","research","plugin"],"rating":2,"tags":["New this week"],"owner":{"name":"Exa Labs","githubUrl":"https://github.com/exa-labs"},"license":"MIT","stars":5138,"contributors":32,"monthlyDownloads":null,"lastPushedAt":"2026-10-07T22:45:09Z","sources":[{"site":"Hacker News","title":"Exa-d: How to store the web in S3","url":"https://news.ycombinator.com/item?id=46611063","date":"2026-01-14"},{"site":"Hacker News","title":"Show HN: Exa (YC S21) – embeddings search agent with >20x recall than Google","url":"https://news.ycombinator.com/item?id=43175781","date":"2025-02-25"}],"checkedByPerson":false,"cost":null,"runsOn":["Cloud"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["In Claude or ChatGPT, find Exa in the plugin directory and add it.","In other AI apps, add Exa's hosted server address to the app's MCP settings."],"officialDownload":null},{"slug":"deepaudit","name":"DeepAudit","repo":"lintsinghua/DeepAudit","githubUrl":"https://github.com/lintsinghua/DeepAudit","homepage":null,"pageUrl":"/repo/deepaudit","category":"Coding assistants","tagline":"A team of AI agents that reviews code projects for security weaknesses and produces audit reports.","whatItDoes":["DeepAudit uses several AI agents working together to audit software code for security vulnerabilities, weaknesses an attacker could exploit. It can also try to confirm findings safely inside a sandbox, an isolated test environment.","You can import projects from GitHub, GitLab or Gitea, or paste code for a quick check. It shows the agents' progress live, has a dashboard, and exports reports as PDF, Markdown or JSON.","According to its description it can run with private local models through Ollama. The README lists vulnerabilities its makers say a closed-source version found in other open-source projects. The README is in Chinese and gives few setup details."],"whoFor":"Developers and security teams who want AI help auditing their own code.","useWithoutCoding":"Developers only","keywords":["code audit","security scan","find vulnerabilities","ai security"],"rating":2,"tags":["New this week"],"owner":{"name":"lintsinghua","githubUrl":"https://github.com/lintsinghua"},"license":"AGPL-3.0","stars":7174,"contributors":16,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T08:05:58Z","sources":[],"checkedByPerson":true,"cost":null,"runsOn":[],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"godogen","name":"Godogen","repo":"htdt/godogen","githubUrl":"https://github.com/htdt/godogen","homepage":"https://x.com/alex_erm","pageUrl":"/repo/godogen","category":"Add-ons for AI coding tools","tagline":"Lets AI coding agents like Claude Code and Codex build a whole video game from your description.","whatItDoes":["Godogen is a set of instructions and tools for AI coding agents. You describe a game, and the agent builds it in a game engine such as Godot, Bevy, Babylon.js or three.js. It writes the code, makes images, 3D models and sounds, runs the game and checks the result.","You can watch and steer the game as it is built, or leave it alone and get a short video of the result at the end. Asset creation is local and free by default, with optional paid services to fill gaps."],"whoFor":"Hobbyist and indie game makers who use Claude Code or Codex and want to experiment with AI-built games.","useWithoutCoding":"Developers only","keywords":["ai game maker","godot","claude code","make a game with ai","game development"],"rating":2,"tags":["New this week"],"owner":{"name":"Alex Ermolov","githubUrl":"https://github.com/htdt"},"license":"MIT","stars":7158,"contributors":4,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T14:56:03Z","sources":[{"site":"Hacker News","title":"Show HN: Claude Code skills that build complete Godot games","url":"https://news.ycombinator.com/item?id=47400868","date":"2026-03-16"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"pixelrag","name":"PixelRAG","repo":"StarTrail-org/PixelRAG","githubUrl":"https://github.com/StarTrail-org/PixelRAG","homepage":"https://arxiv.org/pdf/2606.28344","pageUrl":"/repo/pixelrag","category":"Documents & knowledge","tagline":"Searches web pages and documents by how they look, using screenshots instead of extracted text.","whatItDoes":["Many AI tools answer questions by pulling text out of web pages. That often loses tables, charts and layout. PixelRAG instead turns pages, PDFs and images into screenshot tiles and searches those images directly.","It comes from university researchers, and its makers say this lets the AI read answers straight off tables and charts. A ready-made index of Wikipedia pages can be searched through a hosted service or in the browser.","It also offers a Claude Code plugin that lets Claude take a screenshot of a web page and read the image, so it sees pages the way a person does."],"whoFor":"Developers and researchers building AI search or question-answering over web pages and documents.","useWithoutCoding":"Developers only","keywords":["visual search","screenshot search","rag","document search","wikipedia search"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"StarTrail","githubUrl":"https://github.com/StarTrail-org"},"license":"Apache-2.0","stars":10305,"contributors":33,"monthlyDownloads":1193,"lastPushedAt":"2026-10-14T19:41:58Z","sources":[{"site":"Research paper","title":"PixelRAG: Web Screenshots Beat Text for Retrieval-Augmented Generation","url":"https://arxiv.org/abs/2606.28344","date":"2026-06-01"},{"site":"Hacker News","title":"Successful room temperature ambient-pressure magnetic levitation of LK-99","url":"https://news.ycombinator.com/item?id=36994214","date":"2023-08-04"},{"site":"Hacker News","title":"The first room-temperature ambient-pressure superconductor?","url":"https://news.ycombinator.com/item?id=36864624","date":"2023-07-25"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"pulse","name":"Pulse","repo":"rcourtman/Pulse","githubUrl":"https://github.com/rcourtman/Pulse","homepage":"https://pulserelay.pro/","pageUrl":"/repo/pulse","category":"Everyday tools","tagline":"A self-hosted dashboard that monitors your servers and catches silent failures.","whatItDoes":["Pulse is a self-hosted monitoring dashboard for home and small-business setups, covering Proxmox, Docker, Kubernetes, storage systems and ordinary machines.","It shows live status and history, sends smart alerts, and runs scheduled health checks it calls Patrol to catch problems like failed backups or restart loops that dashboards miss when no one is watching.","For the AI checks you can use a local model or your own AI provider, and a paid Pro version adds deeper investigation and approved fixes."],"whoFor":"People running home labs or small server setups who want monitoring with optional AI checks.","useWithoutCoding":"With some setup","keywords":["monitoring","dashboard","homelab","alerts","self-hosted"],"rating":2,"tags":["New this week"],"owner":{"name":"rcourtman","githubUrl":"https://github.com/rcourtman"},"license":"MIT","stars":6878,"contributors":21,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:36:35Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Linux","Server","Web browser"],"hardware":"Made for servers or data centres","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Pick a release and install it on your server, for example using Docker.","Open it in your web browser and follow the setup.","Connect the systems you want to monitor."],"officialDownload":"https://github.com/rcourtman/Pulse/releases"},{"slug":"x-transformers","name":"x-transformers","repo":"lucidrains/x-transformers","githubUrl":"https://github.com/lucidrains/x-transformers","homepage":null,"pageUrl":"/repo/x-transformers","category":"Developer building blocks","tagline":"A compact Python library for building transformer AI models, with many experimental ideas from research papers.","whatItDoes":["x-transformers is a code library for building transformers, the type of AI model behind most modern chatbots and image tools.","It can build GPT-style text generators, BERT-style text readers, image classifiers and models that describe pictures in words. Many optional features from recent research papers can be switched on with a setting."],"whoFor":"AI researchers and developers who want to build and experiment with transformer models in PyTorch.","useWithoutCoding":"Developers only","keywords":["transformer","pytorch","gpt","deep learning","research"],"rating":2,"tags":["New this week"],"owner":{"name":"Phil Wang","githubUrl":"https://github.com/lucidrains"},"license":"MIT","stars":5959,"contributors":35,"monthlyDownloads":306557,"lastPushedAt":"2026-10-16T23:44:10Z","sources":[{"site":"Hacker News","title":"X-Transformers: A fully-featured transformer with experimental features","url":"https://news.ycombinator.com/item?id=27089208","date":"2021-05-08"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"ipollowork","name":"iPolloWork","repo":"Devin-AXIS/iPolloWork","githubUrl":"https://github.com/Devin-AXIS/iPolloWork","homepage":"https://www.ipollo.ai/","pageUrl":"/repo/ipollowork","category":"AI agents","tagline":"A desktop workspace where people and teams of AI agents plan tasks and create code, documents, slides and video.","whatItDoes":["iPolloWork is a desktop workbench for working alongside AI agents. You describe the result you want, agents plan and do the work, and your team reviews progress, approves actions and keeps editing the results in one place.","It connects several agent engines, including OpenCode, Codex and DeepSeek Harness, and has one system for managing plug-ins and skills across them.","Outputs such as documents, websites, presentations, designs and videos stay editable after the AI creates them. Its makers describe it as local-first, and you bring your own AI model or provider."],"whoFor":"Teams and individuals who want to coordinate several AI agents on projects beyond just coding.","useWithoutCoding":"Yes","keywords":["ai workspace","multi-agent","ai team","presentations","documents"],"rating":2,"tags":["New this week"],"owner":{"name":"Devin-AXIS","githubUrl":"https://github.com/Devin-AXIS"},"license":"NOASSERTION","stars":7074,"contributors":20,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T07:13:24Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Download the installer for your computer and processor from the project's releases page.","Install and open iPolloWork, then connect your AI model or provider.","Create a project and describe what you want the agents to make."],"officialDownload":"https://github.com/Devin-AXIS/iPolloWork/releases"},{"slug":"frontend-slides","name":"Frontend Slides","repo":"zarazhangrui/frontend-slides","githubUrl":"https://github.com/zarazhangrui/frontend-slides","homepage":null,"pageUrl":"/repo/frontend-slides","category":"Add-ons for AI coding tools","tagline":"Helps an AI coding assistant make good-looking web slide decks or convert your PowerPoint files.","whatItDoes":["Frontend Slides is a skill, a set of instructions, for AI coding assistants like Claude Code. It helps people without design skills create presentations that open in a web browser.","Rather than asking you to describe your style in words, it shows you visual previews to pick from. It can also convert existing PowerPoint files, keeping their images and content.","Each deck is a single web page file with nothing else to install. Its makers say the styles are chosen to avoid the generic look of much AI-made design."],"whoFor":"Anyone who uses an AI coding assistant and wants polished presentations without learning web design.","useWithoutCoding":"With some setup","keywords":["slides","presentation","powerpoint","deck","design"],"rating":2,"tags":["Fast-rising"],"owner":{"name":"Zara Zhang","githubUrl":"https://github.com/zarazhangrui"},"license":"MIT","stars":30860,"contributors":9,"monthlyDownloads":null,"lastPushedAt":"2026-06-23T20:08:19Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Install Claude Code or another AI coding assistant.","Add this project's plugin marketplace in Claude Code and install Frontend Slides.","Start the skill and describe the presentation you want, or give it a PowerPoint file."],"officialDownload":null},{"slug":"ernie","name":"ERNIE 4.5 and ERNIEKit","repo":"PaddlePaddle/ERNIE","githubUrl":"https://github.com/PaddlePaddle/ERNIE","homepage":"https://ernie.baidu.com/","pageUrl":"/repo/ernie","category":"AI models & research","tagline":"Baidu's openly published ERNIE 4.5 family of AI models, plus a toolkit to train and adapt them.","whatItDoes":["ERNIE 4.5 is a family of AI models from Baidu that work with text and, in some versions, images and video. The family ranges from a very small model to a very large one.","The README says the models are released under the Apache 2.0 licence for research and development. Its makers report strong results on tests of following instructions, general knowledge and visual understanding.","ERNIEKit is the matching toolkit for fine-tuning, meaning teaching the models new skills with your own data. It is built on PaddlePaddle, Baidu's AI framework."],"whoFor":"AI researchers and companies who want to use or adapt large open models.","useWithoutCoding":"Developers only","keywords":["ernie","baidu","language model","multimodal","fine-tuning"],"rating":2,"tags":["New this week"],"owner":{"name":"PaddlePaddle","githubUrl":"https://github.com/PaddlePaddle"},"license":"Apache-2.0","stars":7737,"contributors":48,"monthlyDownloads":null,"lastPushedAt":"2026-07-24T21:37:38Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"Made for servers or data centres","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"codex-ppt-skill","name":"Codex PPT Skill","repo":"ningzimu/codex-ppt-skill","githubUrl":"https://github.com/ningzimu/codex-ppt-skill","homepage":"https://ppt-skill.ningzimu.vip/","pageUrl":"/repo/codex-ppt-skill","category":"Add-ons for AI coding tools","tagline":"A skill that turns articles, reports or notes into picture-style PowerPoint slides using AI image generation.","whatItDoes":["This is a skill, a set of instructions an AI agent can follow, made mainly for Codex but also usable in Claude Code and similar tools. You give it an article, report, paper or notes, and it builds a slide deck.","It first agrees an outline, the number of slides, a visual style and a sample slide with you. Then it creates each slide as a full image with an AI image model and puts them together into a PowerPoint file, along with a speaker script.","It has a dozen built-in styles and can copy a style from images or slides you like. The slides are pictures, so their text can't be edited directly; the README points to a separate skill for that."],"whoFor":"Students, teachers and professionals who want good-looking presentations made from existing material.","useWithoutCoding":"With some setup","keywords":["powerpoint","slides","presentation","ppt","image generation"],"rating":2,"tags":["New this week"],"owner":{"name":"ningzimu","githubUrl":"https://github.com/ningzimu"},"license":"MIT","stars":7037,"contributors":3,"monthlyDownloads":null,"lastPushedAt":"2026-10-13T13:04:15Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Ask your AI agent, such as Codex, to install this skill from its GitHub page, then restart the agent.","Give it your article or notes and ask for a presentation.","Confirm the outline, style and sample slide it suggests, and it generates the full deck."],"officialDownload":null},{"slug":"typechat","name":"TypeChat","repo":"microsoft/TypeChat","githubUrl":"https://github.com/microsoft/TypeChat","homepage":"https://microsoft.github.io/TypeChat/","pageUrl":"/repo/typechat","category":"Developer building blocks","tagline":"A Microsoft library that helps programs turn plain-language requests into reliable, structured data using AI.","whatItDoes":["TypeChat helps developers build apps where people type requests in everyday language. The developer describes, in code, the shape of the information the app needs, such as items in a shopping cart.","TypeChat then asks the AI model to answer in that exact shape, checks the answer, and asks the model to fix it if it does not fit. Its makers call this replacing prompt engineering with schema engineering.","It is available for TypeScript and Python, with a separate version for C#."],"whoFor":"Developers adding natural-language features to their apps.","useWithoutCoding":"Developers only","keywords":["natural language interface","structured output","llm","typescript"],"rating":2,"tags":["New this week"],"owner":{"name":"Microsoft","githubUrl":"https://github.com/microsoft"},"license":"MIT","stars":8693,"contributors":40,"monthlyDownloads":19008,"lastPushedAt":"2026-10-15T23:21:38Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"amitness-learning","name":"learning","repo":"amitness/learning","githubUrl":"https://github.com/amitness/learning","homepage":"https://twitter.com/amitness","pageUrl":"/repo/amitness-learning","category":"Learning resources","tagline":"One person's running list of courses, books and videos for learning software and AI skills.","whatItDoes":["This is a personal log of learning resources, grouped by topic, with notes on progress. Topics include system design, maths, algorithms, data, machine learning and, currently, generative AI.","Each entry lists the format, such as a book, online course or video, and its length. Others can use it as a reading and study list.","The README says it is updated about once a month."],"whoFor":"Self-learners looking for a study path in software engineering and AI.","useWithoutCoding":"Yes","keywords":["learn ai","study list","machine learning courses","books"],"rating":2,"tags":["New this week"],"owner":{"name":"Amit Chaudhary","githubUrl":"https://github.com/amitness"},"license":"MIT","stars":6973,"contributors":5,"monthlyDownloads":null,"lastPushedAt":"2026-10-02T12:26:26Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the list on GitHub and pick a topic you want to learn."],"officialDownload":null},{"slug":"chronos","name":"Chronos","repo":"amazon-science/chronos-forecasting","githubUrl":"https://github.com/amazon-science/chronos-forecasting","homepage":"https://arxiv.org/abs/2510.15821","pageUrl":"/repo/chronos","category":"AI models & research","tagline":"Ready-trained AI models that predict future values in time-based data, such as sales or demand.","whatItDoes":["Chronos is a family of pretrained models for time series forecasting: predicting what comes next in data recorded over time, like daily sales, energy use or website visits.","Its makers say the newest version, Chronos-2, can forecast new data without extra training, handle several related series at once, and use outside factors. Smaller, faster \"Bolt\" versions are also available.","The models are published openly and can also be deployed on Amazon's cloud."],"whoFor":"Data scientists and analysts who need forecasts without building a model from scratch.","useWithoutCoding":"Developers only","keywords":["forecasting","time series","predict sales","demand planning"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"Amazon Science","githubUrl":"https://github.com/amazon-science"},"license":"Apache-2.0","stars":6136,"contributors":21,"monthlyDownloads":626376,"lastPushedAt":"2026-10-05T14:25:02Z","sources":[{"site":"Research paper","title":"Chronos: Learning the Language of Time Series","url":"https://arxiv.org/abs/2403.07815","date":"2024-03-01"},{"site":"Research paper","title":"Chronos-2: From Univariate to Universal Forecasting","url":"https://arxiv.org/abs/2510.15821","date":"2025-10-01"},{"site":"Hacker News","title":"Successful room temperature ambient-pressure magnetic levitation of LK-99","url":"https://news.ycombinator.com/item?id=36994214","date":"2023-08-04"},{"site":"Hacker News","title":"The first room-temperature ambient-pressure superconductor?","url":"https://news.ycombinator.com/item?id=36864624","date":"2023-07-25"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"turbofieldfare","name":"TurboFieldfare","repo":"drumih/turbo-fieldfare","githubUrl":"https://github.com/drumih/turbo-fieldfare","homepage":null,"pageUrl":"/repo/turbofieldfare","category":"Run AI on your computer","tagline":"Runs Google's large Gemma 4 AI model on Apple Silicon Macs using only about 2 GB of memory.","whatItDoes":["TurboFieldfare runs one specific AI model, Google's Gemma 4 26B-A4B, on Apple Silicon Macs. Normally a model this size needs far more memory.","It keeps only a small core of the model in memory and loads the other parts it needs from the Mac's storage as it goes. Its maker says this lets it run on Macs with just 8 GB of memory.","It includes a Mac app, a command-line tool and an experimental local server. The model download is about 15 GB, plus an optional pack for understanding images."],"whoFor":"Mac owners and developers who want to run a large AI model locally on modest hardware.","useWithoutCoding":"With some setup","keywords":["gemma","mac","local ai","offline","apple silicon"],"rating":2,"tags":["New this week"],"owner":{"name":"Andrey Mikhaylov","githubUrl":"https://github.com/drumih"},"license":"Apache-2.0","stars":6944,"contributors":1,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T09:52:10Z","sources":[{"site":"Hacker News","title":"Show HN: Open-source engine running Gemma 4 26B in 2 GB RAM on any M-series Mac","url":"https://news.ycombinator.com/item?id=49098510","date":"2026-07-29"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install Apple's developer tools on an Apple Silicon Mac running macOS 26.","Build and open the TurboFieldfare Mac app following the README.","Choose Download Model, then Load Model, type a prompt and press Generate."],"officialDownload":null},{"slug":"mergekit","name":"mergekit","repo":"arcee-ai/mergekit","githubUrl":"https://github.com/arcee-ai/mergekit","homepage":null,"pageUrl":"/repo/mergekit","category":"Training & fine-tuning","tagline":"Combines several AI language models into one, without extra training.","whatItDoes":["mergekit merges pre-trained language models directly, blending the strengths of specialised models into a single model that runs at the same cost as one.","It supports many merge methods and model families. Its makers say merges can run on an ordinary processor or with modest graphics memory."],"whoFor":"AI hobbyists and researchers who customise open language models.","useWithoutCoding":"Developers only","keywords":["merge models","llm","model merging","llama"],"rating":2,"tags":["New this week"],"owner":{"name":"Arcee AI","githubUrl":"https://github.com/arcee-ai"},"license":"LGPL-3.0","stars":7404,"contributors":49,"monthlyDownloads":null,"lastPushedAt":"2026-09-12T03:24:42Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"hands-on-large-language-models","name":"Hands-On Large Language Models","repo":"HandsOnLLM/Hands-On-Large-Language-Models","githubUrl":"https://github.com/HandsOnLLM/Hands-On-Large-Language-Models","homepage":"https://www.llm-book.com/","pageUrl":"/repo/hands-on-large-language-models","category":"Learning resources","tagline":"The code examples for an illustrated book that teaches how AI language models work and how to use them.","whatItDoes":["This repository holds all the code from the O'Reilly book \"Hands-On Large Language Models\". The book uses almost 300 custom illustrations to explain the ideas behind large language models, the technology behind chatbots like ChatGPT.","There's a notebook (an interactive document mixing text and code) for each of the 12 chapters. Topics include how models read text, how they work inside, sorting and grouping text, writing good prompts, searching documents, models that understand images, and fine-tuning.","The authors suggest running the examples in Google Colab, a free online service that provides the computing power needed."],"whoFor":"Readers of the book, and anyone with some programming background who wants a practical, visual introduction to language models.","useWithoutCoding":"Developers only","keywords":["learn ai","llm book","tutorial","notebooks","o'reilly"],"rating":2,"tags":[],"owner":{"name":"HandsOnLLM","githubUrl":"https://github.com/HandsOnLLM"},"license":"Apache-2.0","stars":29769,"contributors":12,"monthlyDownloads":null,"lastPushedAt":"2026-04-24T10:20:08Z","sources":[{"site":"Hacker News","title":"Hands-On Large Language Models","url":"https://news.ycombinator.com/item?id=43733553","date":"2025-04-19"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Open the chapter examples in Google Colab, which offers a free graphics card.","Or follow the setup folder's guide to install everything on your own computer."],"officialDownload":null},{"slug":"yank-note","name":"Yank Note","repo":"purocean/yn","githubUrl":"https://github.com/purocean/yn","homepage":"https://yank-note.com/","pageUrl":"/repo/yank-note","category":"Everyday tools","tagline":"A Markdown note editor with a built-in AI helper for writing, plus mind maps, charts and encryption.","whatItDoes":["Yank Note is a desktop editor for Markdown, a simple way of writing formatted text. It saves your notes as ordinary files on your computer.","It has an AI assistant that can complete and write text and make images, using services like OpenAI, Gemini or Ollama for local models. It also includes version history, mind maps, diagrams, file encryption and runnable code snippets.","The README warns that, to be flexible, it can run commands and read files, so you should be careful when opening Markdown files from others."],"whoFor":"Writers, students and developers who keep notes in Markdown and want AI help.","useWithoutCoding":"Yes","keywords":["markdown editor","notes","ai writing","mind map"],"rating":2,"tags":["New this week"],"owner":{"name":"洋子","githubUrl":"https://github.com/purocean"},"license":"AGPL-3.0","stars":6767,"contributors":14,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T04:21:56Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Mac","Linux","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the installer for your computer from the project's releases page."],"officialDownload":"https://github.com/purocean/yn/releases"},{"slug":"astron-rpa","name":"AstronRPA","repo":"iflytek/astron-rpa","githubUrl":"https://github.com/iflytek/astron-rpa","homepage":"http://www.iflyrpa.com/","pageUrl":"/repo/astron-rpa","category":"App builders & workflows","tagline":"A desktop app for automating office software and websites with drag-and-drop workflows and AI agents.","whatItDoes":["AstronRPA is robotic process automation (RPA): software robots that click and type through desktop apps and web pages for you. You build workflows visually from hundreds of ready-made actions.","It connects with the Astron Agent platform so AI agents and automations can call each other."],"whoFor":"Businesses and individuals automating repetitive computer tasks.","useWithoutCoding":"With some setup","keywords":["rpa","automation","desktop automation","low-code"],"rating":2,"tags":["New this week"],"owner":{"name":"iFLYTEK","githubUrl":"https://github.com/iflytek"},"license":"Apache-2.0","stars":5276,"contributors":28,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T02:54:43Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Server"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Download the latest release package from the project's GitHub releases page.","Follow the deployment guide to set up the server part."],"officialDownload":"https://github.com/iflytek/astron-rpa/releases"},{"slug":"taxhacker","name":"TaxHacker","repo":"vas3k/TaxHacker","githubUrl":"https://github.com/vas3k/TaxHacker","homepage":"https://taxhacker.app/","pageUrl":"/repo/taxhacker","category":"Everyday tools","tagline":"A self-hosted accounting app that reads receipts and invoices with AI and organises them.","whatItDoes":["Upload photos of receipts or invoice PDFs and TaxHacker uses AI to pull out amounts, dates, vendors and items into a spreadsheet-like database, with automatic currency conversion.","You choose the AI: OpenAI, Gemini, Mistral or a local model. The README says it is in early development."],"whoFor":"Freelancers and small businesses tracking expenses and income.","useWithoutCoding":"With some setup","keywords":["receipts","invoices","expense tracking","accounting","taxes"],"rating":2,"tags":["New this week"],"owner":{"name":"Vasily Zubarev","githubUrl":"https://github.com/vas3k"},"license":"MIT","stars":6752,"contributors":11,"monthlyDownloads":null,"lastPushedAt":"2026-09-28T15:36:02Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Server"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Docker on your computer or home server.","Start TaxHacker with the provided Docker setup.","Add your AI provider key or local model in settings and upload a receipt."],"officialDownload":null},{"slug":"denoising-diffusion-pytorch","name":"Denoising Diffusion Probabilistic Model, in Pytorch","repo":"lucidrains/denoising-diffusion-pytorch","githubUrl":"https://github.com/lucidrains/denoising-diffusion-pytorch","homepage":null,"pageUrl":"/repo/denoising-diffusion-pytorch","category":"AI models & research","tagline":"Code that recreates diffusion models, the method behind many AI image generators, so you can train your own.","whatItDoes":["Diffusion models learn to make images by starting from random noise and cleaning it up step by step. This project is a PyTorch version of the research paper that made this method popular.","You can point it at a folder of images and train a model that then produces new images in a similar style. It also includes many later research ideas as optional add-ons.","Training takes many steps, so it is meant for people comfortable running machine learning experiments."],"whoFor":"Researchers, students and developers who want to study or experiment with how AI image generation works.","useWithoutCoding":"Developers only","keywords":["diffusion model","ai image generation","pytorch","generative ai"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"Phil Wang","githubUrl":"https://github.com/lucidrains"},"license":"MIT","stars":10704,"contributors":28,"monthlyDownloads":4670,"lastPushedAt":"2026-09-29T14:13:08Z","sources":[{"site":"Research paper","title":"Denoising Diffusion Probabilistic Model","url":"https://arxiv.org/abs/2006.11239","date":"2020-06-01"},{"site":"Research paper","title":"Cold Diffusion","url":"https://arxiv.org/abs/2208.09392","date":"2022-08-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"ai-infra-book","name":"AI Infra in Depth","repo":"bojieli/ai-infra-book","githubUrl":"https://github.com/bojieli/ai-infra-book","homepage":"https://bojieli.github.io/ai-infra-book/","pageUrl":"/repo/ai-infra-book","category":"Learning resources","tagline":"A free open book explaining the computing behind running and training AI models.","whatItDoes":["This is a free, open book about AI infrastructure: the hardware and systems that make AI models run and train. It explains how to reason about memory, speed, cost and networking from first principles.","It covers topics such as model architecture, accelerators, inference and training systems, and how to estimate the resources a task needs.","It is available to read online or download as a PDF or e-book, in Chinese with community translations into English and other languages."],"whoFor":"Engineers, researchers and students who want to understand the systems that power AI models.","useWithoutCoding":"Yes","keywords":["ai infrastructure","book","learn","gpu","model serving"],"rating":2,"tags":["New this week"],"owner":{"name":"Bojie Li","githubUrl":"https://github.com/bojieli"},"license":"Apache-2.0","stars":6694,"contributors":7,"monthlyDownloads":null,"lastPushedAt":"2026-10-01T08:19:29Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Read the book online, or download the PDF or e-book from its releases page.","Start with the early chapters on models and workloads, then pick topics that interest you."],"officialDownload":"https://github.com/bojieli/ai-infra-book/releases"},{"slug":"humanize-kr","name":"Humanize KR","repo":"epoko77-ai/im-not-ai","githubUrl":"https://github.com/epoko77-ai/im-not-ai","homepage":"https://imnotai.kr/","pageUrl":"/repo/humanize-kr","category":"Add-ons for AI coding tools","tagline":"A skill that rewrites AI-written Korean text so it reads like natural Korean.","whatItDoes":["Humanize KR is a skill for AI tools like Claude Code, GitHub Copilot CLI, Codex and Gemini CLI. It looks for signs that Korean text was written by AI, such as stiff translated phrasing, mechanical lists and stock phrases.","It marks each problem and then rewrites only those parts. Its makers say it keeps facts, claims, numbers, names and quotes exactly as they were, and stops if it would change too much.","The README explains that English-focused tools handle Korean poorly, which is why this one is made just for Korean."],"whoFor":"Korean writers, editors and marketers who draft with AI and want the text to sound natural.","useWithoutCoding":"With some setup","keywords":["korean","rewrite","editing","ai text","humanize"],"rating":2,"tags":["New this week"],"owner":{"name":"Liam lee","githubUrl":"https://github.com/epoko77-ai"},"license":"MIT","stars":6039,"contributors":23,"monthlyDownloads":null,"lastPushedAt":"2026-10-12T09:57:11Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install it from the plug-in marketplace in Claude Code or GitHub Copilot CLI.","Ask it to remove the AI feel from a piece of Korean text."],"officialDownload":null},{"slug":"xiaogpt","name":"xiaogpt","repo":"yihong0618/xiaogpt","githubUrl":"https://github.com/yihong0618/xiaogpt","homepage":null,"pageUrl":"/repo/xiaogpt","category":"Everyday tools","tagline":"Connects a Xiaomi smart speaker to ChatGPT and other AI models so you can talk to them by voice.","whatItDoes":["xiaogpt lets a Xiaomi \"Xiao Ai\" smart speaker answer questions using ChatGPT or other AI chat models. You speak to the speaker as usual, and it reads out the AI's answer.","It works with many AI services, including ChatGPT, Gemini, Kimi, Qwen and Doubao, and can use different voice engines for the spoken reply. You can start a continuous conversation mode by voice.","It runs on a computer on the same network and needs your Xiaomi account details and a key from the AI service you choose. The instructions are in Chinese."],"whoFor":"Owners of Xiaomi smart speakers who are comfortable running a small program to make their speaker smarter.","useWithoutCoding":"With some setup","keywords":["smart speaker","xiaomi","voice assistant","chatgpt","home"],"rating":2,"tags":["New this week"],"owner":{"name":"yihong","githubUrl":"https://github.com/yihong0618"},"license":"MIT","stars":6946,"contributors":50,"monthlyDownloads":437,"lastPushedAt":"2026-10-07T05:49:36Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Install Python and then install xiaogpt with Python's package installer.","Find your speaker's device ID with the Xiaomi helper tool the README describes, and get a key from an AI provider.","Start xiaogpt with your speaker's model and key, then ask the speaker a question."],"officialDownload":null},{"slug":"everos","name":"EverOS","repo":"EverMind-AI/EverOS","githubUrl":"https://github.com/EverMind-AI/EverOS","homepage":"https://evermind.ai/everos","pageUrl":"/repo/everos","category":"AI memory","tagline":"A shared, long-term memory that AI agents and apps can write to and look things up in.","whatItDoes":["AI assistants usually forget what you told them once a conversation ends. EverOS is a memory layer that keeps conversations, files and an agent's past work so different AI tools can recall them later.","It saves memories as ordinary, readable text files on your own computer, so you can open and edit them yourself, and keeps a fast search index alongside them. Over time it can merge and tidy memories between sessions.","It runs as a small local service that other apps talk to. The basic setup needs one key from OpenRouter, a service that gives access to many AI models, and the makers list plug-ins for several agent tools."],"whoFor":"Developers building AI agents or assistants that need to remember users and past work across sessions and apps.","useWithoutCoding":"Developers only","keywords":["ai memory","remember conversations","agents","long-term memory"],"rating":2,"tags":["New this week"],"owner":{"name":"EverMind","githubUrl":"https://github.com/EverMind-AI"},"license":"Apache-2.0","stars":13473,"contributors":10,"monthlyDownloads":20408,"lastPushedAt":"2026-10-16T10:11:08Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"osmedeus","name":"Osmedeus","repo":"j3ssie/osmedeus","githubUrl":"https://github.com/j3ssie/osmedeus","homepage":"https://www.osmedeus.org/","pageUrl":"/repo/osmedeus","category":"AI agents","tagline":"An engine that automates security scanning workflows, with optional AI agent steps.","whatItDoes":["Osmedeus is a security tool that runs automated workflows, written as simple configuration files. It is used for reconnaissance and testing, which means mapping and checking a system for weaknesses.","Workflows can run on one machine or many, on schedules or triggers, and on cloud providers. It includes AI steps where agents, including Claude Code, Codex and Gemini, can help with tasks.","It has a command-line tool, an API and a web dashboard to view results."],"whoFor":"Security professionals and bug bounty hunters testing systems they are allowed to test.","useWithoutCoding":"Developers only","keywords":["security scanning","penetration testing","recon","automation"],"rating":2,"tags":["New this week"],"owner":{"name":"Jessie Ho (j3ssie)","githubUrl":"https://github.com/j3ssie"},"license":"MIT","stars":6604,"contributors":10,"monthlyDownloads":null,"lastPushedAt":"2026-10-04T17:27:24Z","sources":[],"checkedByPerson":true,"cost":"Free","runsOn":["Linux","Mac","Cloud"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"ultrarag","name":"UltraRAG","repo":"OpenBMB/UltraRAG","githubUrl":"https://github.com/OpenBMB/UltraRAG","homepage":"https://ultrarag.github.io/","pageUrl":"/repo/ultrarag","category":"Documents & knowledge","tagline":"A low-code toolkit for building and testing AI systems that answer questions from your own documents.","whatItDoes":["UltraRAG helps researchers and developers build RAG systems, where an AI looks up information in a collection of documents before answering. It was made by university labs including Tsinghua University's NLP group.","Each part of the system, such as searching and writing the answer, is a separate building block connected through MCP, a standard way for AI tools to work together. Complex step-by-step logic is described in short settings files instead of long code.","It includes a visual editor for building and debugging these pipelines, built-in testing against standard benchmarks, and a one-command way to turn a pipeline into a chat web page."],"whoFor":"AI researchers and developers building or comparing document question-answering systems.","useWithoutCoding":"Developers only","keywords":["rag","document search","question answering","knowledge base"],"rating":2,"tags":["New this week"],"owner":{"name":"OpenBMB","githubUrl":"https://github.com/OpenBMB"},"license":"Apache-2.0","stars":5732,"contributors":24,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T07:19:25Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"anus","name":"ANUS","repo":"anus-dev/ANUS","githubUrl":"https://github.com/anus-dev/ANUS","homepage":"https://anus.dev/","pageUrl":"/repo/anus","category":"Coding assistants","tagline":"A terminal coding assistant that runs on free AI model tiers, switching models when one hits its limit.","whatItDoes":["ANUS is an AI coding assistant you run in a terminal. It reads your code, edits files and runs commands. Instead of a paid plan, it uses the free tiers of AI services such as OpenRouter, Google Gemini, Groq and Mistral.","You add free keys from one or more of these services. It keeps a ranked list of free models and sends each request to the best one that's available. When one model hits its limit, the next one takes over.","The README warns that free tiers may use what you send to improve their models, so keep secrets out of the folder you work in."],"whoFor":"Programmers who want an AI coding assistant without paying for one.","useWithoutCoding":"Developers only","keywords":["free coding assistant","ai coding","terminal","openrouter","free ai models"],"rating":2,"tags":["New this week"],"owner":{"name":"ANUS","githubUrl":"https://github.com/anus-dev"},"license":"MIT","stars":6549,"contributors":6,"monthlyDownloads":null,"lastPushedAt":"2026-10-01T16:32:18Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"refly","name":"Refly","repo":"refly-ai/refly","githubUrl":"https://github.com/refly-ai/refly","homepage":"https://refly.ai/","pageUrl":"/repo/refly","category":"App builders & workflows","tagline":"Build reusable AI \"skills\" in a visual editor and use them in chat apps, APIs or coding assistants.","whatItDoes":["Refly is a platform for turning step-by-step business tasks into reusable, versioned AI skills. You build them in a visual editor with help from an AI copilot.","Skills can be exported to Claude Code, offered as APIs, or connected to Slack and Lark/Feishu bots. You can self-host it or use the hosted workspace."],"whoFor":"Teams who want to automate repeatable tasks with AI.","useWithoutCoding":"Yes","keywords":["ai workflow","automation","agent skills","no-code ai"],"rating":2,"tags":["New this week"],"owner":{"name":"Refly AI","githubUrl":"https://github.com/refly-ai"},"license":"NOASSERTION","stars":7535,"contributors":45,"monthlyDownloads":null,"lastPushedAt":"2026-07-29T05:25:23Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Web browser","Server"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Open the hosted Refly workspace linked in the README, or self-host it with the deployment guide.","Create your first workflow in the visual editor."],"officialDownload":null},{"slug":"kaggle-solutions","name":"Kaggle Solutions","repo":"faridrashidi/kaggle-solutions","githubUrl":"https://github.com/faridrashidi/kaggle-solutions","homepage":"https://kaggle.farid.one/","pageUrl":"/repo/kaggle-solutions","category":"Learning resources","tagline":"A large collection of winning ideas and write-ups from Kaggle data science competitions.","whatItDoes":["Kaggle hosts competitions where people build machine-learning models to solve problems. This project gathers solutions and insights from top finishers across hundreds of them.","It links to winning approaches, discussion threads, code notebooks and videos, grouped by areas such as images, language and tables of data.","There is a website to browse it, and tips on how to study a past competition."],"whoFor":"People learning data science and machine learning, and Kaggle competitors.","useWithoutCoding":"Yes","keywords":["kaggle","data science","machine learning examples","competitions"],"rating":2,"tags":["New this week"],"owner":{"name":"Farid Rashidi","githubUrl":"https://github.com/faridrashidi"},"license":"MIT","stars":6541,"contributors":5,"monthlyDownloads":null,"lastPushedAt":"2026-10-06T02:52:13Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Visit the project's website and browse competitions by category."],"officialDownload":null},{"slug":"codepilot","name":"CodePilot","repo":"op7418/CodePilot","githubUrl":"https://github.com/op7418/CodePilot","homepage":"https://www.codepilot.sh/","pageUrl":"/repo/codepilot","category":"AI agents","tagline":"A desktop app for chatting with many AI models and letting an AI assistant work on your files and tasks.","whatItDoes":["CodePilot started as a coding tool and has grown into a general AI assistant for your desktop. You connect one of many AI providers, including Anthropic, OpenRouter, several Chinese providers and local models through Ollama, and switch models mid-conversation.","It can remember your preferences, build charts and dashboards, generate images, run scheduled tasks and use add-ons through MCP and skills. You can also message it from your phone through Telegram, Discord, WeChat and others.","Installing Claude Code alongside it unlocks extras like editing files and running commands, but the README says this is optional for basic chat."],"whoFor":"People who want one desktop app to use many AI models, from coding help to everyday tasks.","useWithoutCoding":"Yes","keywords":["ai desktop app","claude code app","multi-model chat","ai assistant"],"rating":2,"tags":["New this week"],"owner":{"name":"歸藏","githubUrl":"https://github.com/op7418"},"license":"NOASSERTION","stars":6505,"contributors":14,"monthlyDownloads":null,"lastPushedAt":"2026-09-22T03:24:52Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Download the installer for your computer from the project's releases page.","Open CodePilot, go to Settings, then Providers, and add your API key.","Start a conversation."],"officialDownload":"https://github.com/op7418/CodePilot/releases"},{"slug":"apfel","name":"apfel","repo":"Arthur-Ficial/apfel","githubUrl":"https://github.com/Arthur-Ficial/apfel","homepage":"https://apfel.franzai.com/","pageUrl":"/repo/apfel","category":"Run AI on your computer","tagline":"Lets you use the AI model built into newer Macs from the command line or other apps, fully offline.","whatItDoes":["Newer Apple Silicon Macs come with a built-in AI language model as part of Apple Intelligence. apfel makes that model easy to use as a command-line tool, an interactive chat, or a local server that other AI apps can connect to.","Its makers say everything runs on your Mac with no API keys and no cloud. You can ask questions, summarize files, read text from PDFs and images, and get answers as code or JSON.","It needs a recent version of macOS, an Apple Silicon Mac and Apple Intelligence turned on."],"whoFor":"Mac users and developers who want free, private AI on their own computer.","useWithoutCoding":"With some setup","keywords":["mac ai","apple intelligence","offline ai","private","free"],"rating":2,"tags":["New this week"],"owner":{"name":"Arthur Ficial","githubUrl":"https://github.com/Arthur-Ficial"},"license":"MIT","stars":6491,"contributors":14,"monthlyDownloads":null,"lastPushedAt":"2026-10-14T18:23:49Z","sources":[{"site":"Hacker News","title":"Show HN: Apfel – The free AI already on your Mac","url":"https://news.ycombinator.com/item?id=47624645","date":"2026-04-03"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Check that your Mac has Apple Silicon, a recent macOS and Apple Intelligence turned on.","Install apfel using the Homebrew package manager.","Ask it a question in the Terminal, or start its chat mode."],"officialDownload":null},{"slug":"bindu","name":"Bindu","repo":"GetBindu/Bindu","githubUrl":"https://github.com/GetBindu/Bindu","homepage":"https://docs.getbindu.com/","pageUrl":"/repo/bindu","category":"Developer building blocks","tagline":"Gives AI agents an identity, a way to talk to each other, and a way to take payments.","whatItDoes":["Bindu is plumbing for AI agents. It wraps your agent so it can go online with its own cryptographic identity, talk to other agents using a shared protocol, and optionally charge for its work.","It handles the security layers, such as encrypted connections and signed messages, so an agent can prove who it is to others.","There are software kits for Python, TypeScript and Kotlin that all share the same core."],"whoFor":"Developers building AI agents that need to identify themselves, talk to other agents, or take payment.","useWithoutCoding":"Developers only","keywords":["ai agents","identity","agent communication","payments","developer tool"],"rating":2,"tags":["New this week"],"owner":{"name":"getbindu.com","githubUrl":"https://github.com/GetBindu"},"license":"NOASSERTION","stars":10050,"contributors":78,"monthlyDownloads":792,"lastPushedAt":"2026-09-06T14:24:36Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Server"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"chinese-llm-benchmark","name":"ReLE Chinese LLM Benchmark","repo":"jeinlee1991/chinese-llm-benchmark","githubUrl":"https://github.com/jeinlee1991/chinese-llm-benchmark","homepage":"https://nonelinear.com.cn/","pageUrl":"/repo/chinese-llm-benchmark","category":"AI models & research","tagline":"Ongoing rankings of how well hundreds of AI models perform in Chinese across many subjects.","whatItDoes":["ReLE tests many commercial and open AI models in Chinese, in areas such as education, medicine, finance, law, reasoning, coding and tool use, and publishes leaderboards.","It also shares a large library of model mistakes for research. The README is in Chinese."],"whoFor":"Anyone comparing AI models for Chinese-language use, and researchers.","useWithoutCoding":"Yes","keywords":["llm leaderboard","chinese ai","model comparison","benchmark"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"jeinlee1991","githubUrl":"https://github.com/jeinlee1991"},"license":null,"stars":6481,"contributors":2,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T07:09:01Z","sources":[{"site":"Research paper","title":"ReLE: A Scalable System and Structured Benchmark for Diagnosing Capability Anisotropy in Chinese LLMs","url":"https://www.arxiv.org/abs/2601.17399","date":"2026-01-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the README and jump to the leaderboard for the subject you care about."],"officialDownload":null},{"slug":"n8n-skills","name":"n8n-skills","repo":"czlonkowski/n8n-skills","githubUrl":"https://github.com/czlonkowski/n8n-skills","homepage":"https://www.n8n-skills.com/","pageUrl":"/repo/n8n-skills","category":"Add-ons for AI coding tools","tagline":"Skills that teach Claude Code how to build and fix n8n automation workflows correctly.","whatItDoes":["n8n is a tool for building automations that connect apps together. This project is a set of Claude Code skills (packaged instructions) that help the AI build those workflows through the companion n8n-mcp connector.","The skills cover n8n's expression syntax, proven workflow patterns, fixing validation errors, setting up each step, writing code steps, and hosting n8n on your own server.","A router skill loads at the start of each session and points the AI to the right skill."],"whoFor":"People who use n8n and want Claude Code to create or repair their automations.","useWithoutCoding":"With some setup","keywords":["n8n","workflow automation","claude code skills","no-code automation"],"rating":2,"tags":["New this week"],"owner":{"name":"Romuald Członkowski","githubUrl":"https://github.com/czlonkowski"},"license":"MIT","stars":6459,"contributors":7,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T21:35:32Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Set up Claude Code and the companion n8n-mcp connector.","Install the skills by following the README's installation section, then ask Claude Code to build an n8n workflow."],"officialDownload":null},{"slug":"anti-slop","name":"Anti Slop","repo":"miqdadbadjuber/anti-slop","githubUrl":"https://github.com/miqdadbadjuber/anti-slop","homepage":null,"pageUrl":"/repo/anti-slop","category":"Add-ons for AI coding tools","tagline":"A rulebook that stops AI coding agents from producing generic designs, filler text and sloppy code.","whatItDoes":["Anti Slop is a set of rules for AI coding agents. It aims to filter out 'AI slop': generic-looking web pages, made-up statistics, filler wording and code that looks machine-written.","It has 38 rules, a pass-or-fail check the agent must run before it finishes, and six separate skills (instruction files) for areas like page design, copywriting and code. Its makers say it is a filter, not a style guide, so the creative direction stays yours.","It works with Claude Code, Codex, Cursor, Cline and other agents. There is also a single file you can paste into any AI chat."],"whoFor":"People who build websites or apps with AI coding assistants and want cleaner, less generic results.","useWithoutCoding":"With some setup","keywords":["ai slop","coding agent rules","ui design","claude code skills","copywriting"],"rating":2,"tags":["New this week"],"owner":{"name":"Miqdad Badjuber","githubUrl":"https://github.com/miqdadbadjuber"},"license":"MIT","stars":6450,"contributors":7,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T11:43:22Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Run the project's installer, which asks which skills and AI coding tools you use.","Or copy the single rules file into any AI chat window."],"officialDownload":null},{"slug":"reef","name":"Reef","repo":"Human-Agent-Society/reef","githubUrl":"https://github.com/Human-Agent-Society/reef","homepage":"https://reefinfra.ai/","pageUrl":"/repo/reef","category":"Training & fine-tuning","tagline":"Infrastructure that lets AI agents keep improving from how you interact with them.","whatItDoes":["Reef is open-source infrastructure for AI agents that keep getting better over time. It connects serving an agent, collecting feedback, learning from it, and delivering updated versions.","It can improve an agent by training the model's weights, or by improving the agent's prompts, rules and skills, while the agent stays live through updates.","Its makers describe a repeating cycle of serving requests, matching feedback, producing an update, and publishing the ones that pass checks."],"whoFor":"Developers and researchers building AI agents that learn and improve continuously.","useWithoutCoding":"Developers only","keywords":["self-improving agents","reinforcement learning","training","inference","continual learning"],"rating":2,"tags":["New this week"],"owner":{"name":"Human Agent Society","githubUrl":"https://github.com/Human-Agent-Society"},"license":"Apache-2.0","stars":7639,"contributors":41,"monthlyDownloads":469,"lastPushedAt":"2026-10-19T01:49:43Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Server"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"pytorch-grad-cam","name":"pytorch-grad-cam","repo":"jacobgil/pytorch-grad-cam","githubUrl":"https://github.com/jacobgil/pytorch-grad-cam","homepage":"https://jacobgil.github.io/pytorch-gradcam-book","pageUrl":"/repo/pytorch-grad-cam","category":"Developer building blocks","tagline":"Shows which parts of a picture an image-recognition AI relied on to make its decision.","whatItDoes":["When an AI labels a photo, it is hard to know why. This library draws heat maps over the image that highlight the areas the AI paid most attention to.","It works with many kinds of image AI and includes many explanation methods, plus ways to check whether an explanation can be trusted."],"whoFor":"Developers and researchers who build or check image-recognition AI.","useWithoutCoding":"Developers only","keywords":["explainable ai","heat map","image recognition","computer vision"],"rating":2,"tags":["New this week"],"owner":{"name":"Jacob Gildenblat","githubUrl":"https://github.com/jacobgil"},"license":"MIT","stars":13001,"contributors":54,"monthlyDownloads":55800,"lastPushedAt":"2026-08-13T07:15:26Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"pptagent","name":"PPTAgent","repo":"icip-cas/PPTAgent","githubUrl":"https://github.com/icip-cas/PPTAgent","homepage":"https://arxiv.org/abs/2501.03936","pageUrl":"/repo/pptagent","category":"Everyday tools","tagline":"An AI framework that creates and reviews editable PowerPoint slide decks.","whatItDoes":["PPTAgent is a framework that uses AI to generate PowerPoint presentations, and then review them visually to improve the result.","It can create, revise and export editable slide decks, and offers a skill so AI coding agents such as Claude Code can drive it.","It uses AI models, including a vision model to review slides, and the project links to free trial plans for the models it suggests."],"whoFor":"People who want AI help drafting editable PowerPoint presentations.","useWithoutCoding":"With some setup","keywords":["powerpoint","slides","presentation","ai","generate"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"ICIP-CAS","githubUrl":"https://github.com/icip-cas"},"license":"MIT","stars":5129,"contributors":27,"monthlyDownloads":null,"lastPushedAt":"2026-10-12T21:35:26Z","sources":[{"site":"Research paper","title":"PPTAgent","url":"https://arxiv.org/abs/2501.03936","date":"2025-01-01"},{"site":"Hacker News","title":"Successful room temperature ambient-pressure magnetic levitation of LK-99","url":"https://news.ycombinator.com/item?id=36994214","date":"2023-08-04"},{"site":"Hacker News","title":"The first room-temperature ambient-pressure superconductor?","url":"https://news.ycombinator.com/item?id=36864624","date":"2023-07-25"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"fragments","name":"Fragments","repo":"e2b-dev/fragments","githubUrl":"https://github.com/e2b-dev/fragments","homepage":"https://fragments.e2b.dev/","pageUrl":"/repo/fragments","category":"App builders & workflows","tagline":"An open-source template for building apps that create working mini-programs from a text description.","whatItDoes":["Fragments is an open-source version of tools like Claude Artifacts and v0, where you describe an app and AI writes and runs the code. It is a starter project developers can copy and customize.","The AI-generated code runs safely in a sandbox from E2B, the project's makers. It supports Python, Next.js, Vue, Streamlit and Gradio apps.","It works with many AI providers, including OpenAI, Anthropic, Google, Mistral and local models through Ollama. A hosted demo is also available."],"whoFor":"Developers who want to build their own AI app-generator or code playground.","useWithoutCoding":"Developers only","keywords":["ai app builder","generate apps","claude artifacts alternative","code sandbox"],"rating":2,"tags":["New this week"],"owner":{"name":"E2B | Cloud for AI Agents","githubUrl":"https://github.com/e2b-dev"},"license":"Apache-2.0","stars":6391,"contributors":17,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T14:50:41Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Web browser","Server"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"awesome-codex-subagents","name":"Awesome Codex Subagents","repo":"VoltAgent/awesome-codex-subagents","githubUrl":"https://github.com/VoltAgent/awesome-codex-subagents","homepage":"https://github.com/VoltAgent/voltagent","pageUrl":"/repo/awesome-codex-subagents","category":"Add-ons for AI coding tools","tagline":"A large collection of ready-made specialist helpers for OpenAI's Codex coding agent.","whatItDoes":["Codex can hand parts of a task to subagents: smaller assistants set up for one kind of job. This repository collects many of them, sorted into categories such as core development and quality and security.","Each subagent is a small settings file you copy into Codex's agents folder, either for all your projects or for just one.","Codex doesn't start these helpers on its own; you ask for them by name in your prompt."],"whoFor":"Developers who use Codex and want specialised helpers for tasks like backend work or code review.","useWithoutCoding":"With some setup","keywords":["codex","subagents","ai coding helpers","code review"],"rating":2,"tags":["New this week"],"owner":{"name":"VoltAgent","githubUrl":"https://github.com/VoltAgent"},"license":"MIT","stars":6373,"contributors":7,"monthlyDownloads":null,"lastPushedAt":"2026-10-05T07:40:02Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Download this collection and copy the agent files you want into Codex's agents folder.","Restart Codex and ask it by name to hand a task to that subagent."],"officialDownload":null},{"slug":"mobilebuildmcp","name":"MobileBuildMCP","repo":"getsentry/MobileBuildMCP","githubUrl":"https://github.com/getsentry/MobileBuildMCP","homepage":null,"pageUrl":"/repo/mobilebuildmcp","category":"Add-ons for AI coding tools","tagline":"Gives AI coding assistants tools to build, run and test iPhone and Mac apps.","whatItDoes":["MobileBuildMCP is an MCP server, a standard add-on that gives AI assistants extra tools. It lets coding agents like Cursor, Claude Code and Codex work with Apple's Xcode to build and run iOS and macOS apps.","It also works as a command-line tool you can use directly, and includes optional skills that teach the agent how to use it.","It needs a Mac with Xcode. The README says it sends error reports to Sentry, with instructions for turning this off."],"whoFor":"iOS and Mac app developers who use AI coding agents.","useWithoutCoding":"Developers only","keywords":["ios","xcode","mcp","app development","claude code"],"rating":2,"tags":["New this week"],"owner":{"name":"Sentry","githubUrl":"https://github.com/getsentry"},"license":"MIT","stars":6487,"contributors":50,"monthlyDownloads":5123,"lastPushedAt":"2026-10-17T07:36:26Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"atomic-agents","name":"Atomic Agents","repo":"Eigenwise/atomic-agents","githubUrl":"https://github.com/Eigenwise/atomic-agents","homepage":"https://eigenwise.github.io/atomic-agents/","pageUrl":"/repo/atomic-agents","category":"Developer building blocks","tagline":"A lightweight Python framework for building AI agents from small, reusable parts.","whatItDoes":["Atomic Agents is a code library for building AI agents and pipelines. Its makers compare it to building with LEGO: each piece, such as an agent, a tool or a source of background information, does one job and can be combined with others.","It is built on the Instructor and Pydantic libraries, which help make AI output predictable and well structured. It works with several AI providers, including OpenAI, Anthropic, Gemini and Groq."],"whoFor":"Python developers who want a simple, modular way to build AI agents.","useWithoutCoding":"Developers only","keywords":["ai agent framework","python","llm","build ai agents"],"rating":2,"tags":["New this week"],"owner":{"name":"Kenny Vaneetvelde","githubUrl":"https://github.com/Eigenwise"},"license":"MIT","stars":6287,"contributors":52,"monthlyDownloads":11711,"lastPushedAt":"2026-10-18T20:08:31Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"dramaclaw","name":"DramaClaw","repo":"dramaclaw/dramaclaw","githubUrl":"https://github.com/dramaclaw/dramaclaw","homepage":"https://dramaclaw.ai/","pageUrl":"/repo/dramaclaw","category":"Images & video","tagline":"An AI video production line that turns a script into a finished short drama, ad or product video.","whatItDoes":["DramaClaw is a tool for making videos with generative AI. Drop in a story or screenplay and it plans episodes, writes scripts, draws storyboards, makes voice-overs and cuts the final film.","It also has an infinite canvas, a workspace where you create and link images, video, audio, 3D scenes and scripts as connected blocks. A built-in agent can answer questions about your project and build these workflows for you.","Its makers say it is built for drama but also works for ads, product videos and interactive stories, and that you can run it on your own machine."],"whoFor":"Video creators and small studios making short dramas, ads or story videos with AI.","useWithoutCoding":"With some setup","keywords":["ai video","short drama","storyboard","video maker"],"rating":2,"tags":["New this week"],"owner":{"name":"DramaClaw","githubUrl":"https://github.com/dramaclaw"},"license":"NOASSERTION","stars":6342,"contributors":16,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T01:38:10Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"everywhere","name":"Everywhere","repo":"Sylinko/Everywhere","githubUrl":"https://github.com/Sylinko/Everywhere","homepage":"https://everywhere.sylinko.com/","pageUrl":"/repo/everywhere","category":"Everyday tools","tagline":"A desktop AI assistant that understands what is on your screen and helps with a shortcut key.","whatItDoes":["Everywhere pops up next to whatever you are doing when you press a shortcut. It can see the app or text in front of you, so you don't have to copy, paste or take screenshots.","The README gives examples like explaining an error message, summarising a web page, translating a word, polishing an email or checking whether a claim is true.","It works with many AI providers, including OpenAI, Anthropic, Gemini, DeepSeek and the makers' own cloud service, or local models through Ollama. It can also browse the web, work with files and use MCP tools."],"whoFor":"Anyone on Windows or Mac who wants quick AI help without leaving the app they are using.","useWithoutCoding":"Yes","keywords":["desktop ai assistant","screen aware ai","translate","summarize","chatgpt desktop"],"rating":2,"tags":["New this week"],"owner":{"name":"Sylinko","githubUrl":"https://github.com/Sylinko"},"license":"NOASSERTION","stars":6318,"contributors":18,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T14:42:33Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Windows","Mac"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the installer for Windows or macOS from the project's official website.","Choose an AI model provider, then press the shortcut key to call it up over any app."],"officialDownload":null},{"slug":"ai-coding-guide-zh","name":"AI-Coding-Guide-Zh","repo":"KimYx0207/AI-Coding-Guide-Zh","githubUrl":"https://github.com/KimYx0207/AI-Coding-Guide-Zh","homepage":null,"pageUrl":"/repo/ai-coding-guide-zh","category":"Learning resources","tagline":"A beginner-friendly Chinese tutorial series on Claude Code, Codex, OpenClaw and WorkBuddy.","whatItDoes":["This is a set of Chinese-language tutorials for people using AI assistants for the first time. It follows four tracks: coding with Claude Code, working in the Codex app, using the OpenClaw personal assistant, and office tasks with Tencent's WorkBuddy.","Each starter lesson comes with practice materials and expected results, like fixing a small bug or turning messy notes into a weekly report, so you can check your own work."],"whoFor":"Chinese-speaking beginners, product managers and solo developers learning to work with AI assistants.","useWithoutCoding":"Yes","keywords":["claude code tutorial","codex tutorial","chinese ai guide","ai coding beginners","openclaw"],"rating":2,"tags":["New this week"],"owner":{"name":"KimYx0207","githubUrl":"https://github.com/KimYx0207"},"license":"MIT","stars":6282,"contributors":2,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T06:18:06Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the project page and pick the one learning track that matches what you want to do.","Follow that track's install guide, then try its first practice task with the provided materials."],"officialDownload":null},{"slug":"agent-squad","name":"Agent Squad","repo":"2FastLabs/agent-squad","githubUrl":"https://github.com/2FastLabs/agent-squad","homepage":"https://2fastlabs.github.io/agent-squad/","pageUrl":"/repo/agent-squad","category":"AI agents","tagline":"Sends each question to the best-suited AI agent in a team and keeps the conversation flowing between them.","whatItDoes":["Agent Squad is a framework for apps that use several specialised AI agents, for example one for tech questions and one for billing. When a message comes in, it decides which agent should answer and passes it along.","It keeps track of the conversation across agents and sessions, and comes with ready-made agents for several AI services. Developers can plug in their own agents, sorting methods and storage.","It works in Python and TypeScript, and a newer Swift version runs entirely on iPhone, iPad and Mac. The README notes the project was previously hosted under a different name and organisation."],"whoFor":"Developers building chatbots or assistants that combine several specialised agents.","useWithoutCoding":"Developers only","keywords":["multi-agent","chatbot","agent routing","orchestration"],"rating":2,"tags":["New this week"],"owner":{"name":"2 Fast Labs","githubUrl":"https://github.com/2FastLabs"},"license":"Apache-2.0","stars":7792,"contributors":38,"monthlyDownloads":5755,"lastPushedAt":"2026-10-08T09:03:31Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"awesome-opus-5-5-videos","name":"Awesome Opus 5.5 Videos","repo":"yihui-dev/awesome-opus5-5-videos","githubUrl":"https://github.com/yihui-dev/awesome-opus5-5-videos","homepage":"https://skillry.dev/ai-videos/opus-5-5","pageUrl":"/repo/awesome-opus-5-5-videos","category":"Learning resources","tagline":"A collection of popular animations made with Claude Opus 5.5, each with the prompt behind it.","whatItDoes":["This is a curated list of videos people made by asking Claude Opus 5.5 to write animations as web code. Each entry links to the creator's post and, where shared, the prompt they used.","Entries are grouped into motion graphics, explainers, 3D scenes and games. You can copy a prompt and try it with your own AI agent."],"whoFor":"Designers and creative coders looking for ideas and example prompts.","useWithoutCoding":"Yes","keywords":["claude","animation","prompts","motion graphics"],"rating":2,"tags":["New this week"],"owner":{"name":"Yihui / 熠辉","githubUrl":"https://github.com/yihui-dev"},"license":"MIT","stars":6264,"contributors":1,"monthlyDownloads":null,"lastPushedAt":"2026-10-13T14:46:44Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Browse the list and pick a video you like.","Copy its prompt and try it with Claude or your own AI agent."],"officialDownload":null},{"slug":"magic","name":"Magic (Magicrew)","repo":"dtyq/magic","githubUrl":"https://github.com/dtyq/magic","homepage":"https://www.magicrew.ai/","pageUrl":"/repo/magic","category":"AI agents","tagline":"An all-in-one AI agent platform for businesses, with assistants, expert agents, approvals and budget controls.","whatItDoes":["Magic is a platform for companies that want to use AI agents across their teams. Each employee gets a personal AI assistant, and the company can build \"expert agents\" for areas like legal, finance or customer service.","Its makers say agents run in sealed-off sandboxes, risky actions such as deleting data or sending emails need human approval, and budgets can be capped per department, user or agent.","It aims to deliver finished results such as reports, dashboards, slide decks and spreadsheets, and includes a workflow engine, messaging and collaborative office tools."],"whoFor":"Businesses, from one-person companies to large organisations, that want to run AI agents under central control.","useWithoutCoding":"With some setup","keywords":["enterprise ai agents","ai platform","workflow automation","self-hosted","business ai"],"rating":2,"tags":["New this week"],"owner":{"name":"灯塔引擎","githubUrl":"https://github.com/dtyq"},"license":"NOASSERTION","stars":5050,"contributors":73,"monthlyDownloads":null,"lastPushedAt":"2026-08-12T12:46:11Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Server"],"hardware":"Made for servers or data centres","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"time-series-library","name":"Time Series Library (TSLib)","repo":"thuml/Time-Series-Library","githubUrl":"https://github.com/thuml/Time-Series-Library","homepage":null,"pageUrl":"/repo/time-series-library","category":"AI models & research","tagline":"A research code base of deep learning models for analysing time-based data.","whatItDoes":["TSLib is a collection of deep learning models for working with time series, meaning data that is recorded over time, such as weather readings or sales figures.","It gives researchers a tidy way to test and compare many published models on tasks like forecasting the future, filling in missing values, spotting unusual points, and sorting data into groups.","Its maintainers note they are no longer actively adding features, but say the included models remain correct to use and study."],"whoFor":"Researchers and students studying deep learning for time series data.","useWithoutCoding":"Developers only","keywords":["time series","forecasting","deep learning","anomaly detection","research"],"rating":2,"tags":["New this week"],"owner":{"name":"THUML @ Tsinghua University","githubUrl":"https://github.com/thuml"},"license":"MIT","stars":12968,"contributors":55,"monthlyDownloads":null,"lastPushedAt":"2026-04-18T21:01:40Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Server"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"openpencil-zseven-w","name":"OpenPencil","repo":"ZSeven-W/openpencil","githubUrl":"https://github.com/ZSeven-W/openpencil","homepage":"https://op.zseven.tech/","pageUrl":"/repo/openpencil-zseven-w","category":"3D & design","tagline":"An AI design tool that turns written descriptions into app and website screen designs, then into code.","whatItDoes":["OpenPencil is a vector design app, like a drawing board for app and website layouts. You describe a screen in plain words and the AI draws it on the canvas as you watch. You can then select parts and ask for changes.","For bigger pages, several AI agents can work on different sections at the same time. Designs are saved as readable files and can be exported as code for many web and mobile frameworks.","It runs as a desktop app on Mac, Windows and Linux or as a web app, and works with several AI models. AI coding tools like Claude Code can also use it through MCP, a plug-in system."],"whoFor":"Designers, developers and founders who want to sketch app screens quickly with AI and turn them into code.","useWithoutCoding":"Yes","keywords":["ui design","figma alternative","app design","prototype","design to code"],"rating":2,"tags":["New this week"],"owner":{"name":"ZSeven-W","githubUrl":"https://github.com/ZSeven-W"},"license":"MIT","stars":6238,"contributors":16,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T17:35:35Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Download the installer for your computer from the project's releases page.","Connect an AI model in the app.","Describe the screen you want and watch it appear on the canvas."],"officialDownload":"https://github.com/ZSeven-W/openpencil/releases"},{"slug":"semble","name":"Semble","repo":"MinishLab/semble","githubUrl":"https://github.com/MinishLab/semble","homepage":"https://minish.ai/packages/semble/introduction/","pageUrl":"/repo/semble","category":"Add-ons for AI coding tools","tagline":"Fast code search for AI coding agents that runs on your own computer with no API keys.","whatItDoes":["Semble lets a coding agent ask questions about a codebase in plain language, like \"How is login handled?\", and get back only the relevant code. Its makers say this uses far fewer tokens (the units AI services charge by) than reading whole files.","It indexes most projects in under a second and runs on an ordinary processor, with no graphics card or online service needed.","It works with Claude Code, Cursor, Codex, OpenCode and other agents, as an MCP connector, a command-line tool or a dedicated helper agent."],"whoFor":"Developers who use AI coding agents and want quicker, cheaper code lookups.","useWithoutCoding":"With some setup","keywords":["code search","claude code","save tokens","mcp server"],"rating":2,"tags":["New this week"],"owner":{"name":"Minish","githubUrl":"https://github.com/MinishLab"},"license":"MIT","stars":6227,"contributors":10,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T10:48:43Z","sources":[{"site":"Hacker News","title":"Show HN: Semble – Code search for agents that uses 98% fewer tokens than grep","url":"https://news.ycombinator.com/item?id=48169874","date":"2026-05-17"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install the uv tool, then install Semble and run its interactive installer.","Pick which of your coding agents should use it."],"officialDownload":null},{"slug":"mathmodelagent","name":"MathModelAgent","repo":"jihe520/MathModelAgent","githubUrl":"https://github.com/jihe520/MathModelAgent","homepage":"https://mathmodel.top/home","pageUrl":"/repo/mathmodelagent","category":"AI agents","tagline":"An AI agent that works through mathematical modelling problems and writes up a formatted paper.","whatItDoes":["Mathematical modelling means using maths to describe and solve a real-world problem, often in student competitions. MathModelAgent uses a team of AI agents to analyse the problem, build a model, write and fix code, and produce a formatted paper.","It can search the web for data and look up methods in a local knowledge base, and it can pause at key points for you to approve or change its work. The README is mainly in Chinese. A desktop app bundles everything, so you only need to add an API key from an AI provider."],"whoFor":"Students and researchers working on mathematical modelling problems, especially Chinese-speaking users.","useWithoutCoding":"Yes","keywords":["math modelling","research paper","ai agent","math competition","student"],"rating":2,"tags":["New this week"],"owner":{"name":"Sanjin","githubUrl":"https://github.com/jihe520"},"license":null,"stars":6222,"contributors":10,"monthlyDownloads":null,"lastPushedAt":"2026-10-03T07:04:06Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Download the desktop app for your Mac or Windows computer from the project's releases page.","Open the app and enter an API key from an AI model provider.","Describe your modelling problem and let the agent work through it."],"officialDownload":"https://github.com/jihe520/MathModelAgent/releases"},{"slug":"lieflat-charts","name":"Lieflat Charts","repo":"larashero3-dotcom/lieflat-charts","githubUrl":"https://github.com/larashero3-dotcom/lieflat-charts","homepage":null,"pageUrl":"/repo/lieflat-charts","category":"Add-ons for AI coding tools","tagline":"A skill that teaches AI agents to turn your data into polished, interactive charts, slides and reports.","whatItDoes":["Lieflat Charts is a \"skill\", a package of instructions and templates, for AI agents such as Claude Code, Codex and Moxt. Once installed, the agent can turn your data into interactive HTML charts with a consistent, editorial look.","It offers several visual styles, from detailed data stories to quick-glance dashboards, plus color schemes. If you ask for slides or a report, it can also produce a click-through HTML presentation or a full-page report. The README is mainly in Chinese, with an English version."],"whoFor":"People who use AI agents and want good-looking charts and data reports from them.","useWithoutCoding":"With some setup","keywords":["charts","data visualization","slides","report","agent skill"],"rating":2,"tags":["New this week"],"owner":{"name":"lieflat","githubUrl":"https://github.com/larashero3-dotcom"},"license":"NOASSERTION","stars":6208,"contributors":5,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T10:59:32Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Install the skill into your AI agent, or ask the agent to install it for you.","Give the agent your data and ask for a chart, a slide deck or a report."],"officialDownload":null},{"slug":"deep-learning-drizzle","name":"Deep Learning Drizzle","repo":"kmario23/deep-learning-drizzle","githubUrl":"https://github.com/kmario23/deep-learning-drizzle","homepage":"https://deep-learning-drizzle.github.io/","pageUrl":"/repo/deep-learning-drizzle","category":"Learning resources","tagline":"A big, organised list of free university lectures on deep learning, machine learning and related AI topics.","whatItDoes":["Deep Learning Drizzle collects links to free lecture courses from universities and well-known teachers. Each entry lists the course name, who teaches it, the course web page and its lecture videos.","Topics include deep learning, machine learning basics, reinforcement learning (AI that learns by trial and error), computer vision, language processing, speech recognition, medical imaging and more."],"whoFor":"Students and self-learners who want structured, free video courses on AI.","useWithoutCoding":"Yes","keywords":["free ai courses","deep learning lectures","machine learning videos","learn ai"],"rating":2,"tags":["New this week"],"owner":{"name":"Mario","githubUrl":"https://github.com/kmario23"},"license":null,"stars":12963,"contributors":10,"monthlyDownloads":null,"lastPushedAt":"2026-08-22T15:46:06Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the project page and browse the table of contents by topic.","Pick a course and follow its links to the lecture videos and slides."],"officialDownload":null},{"slug":"claude-code-ultimate-guide","name":"Claude Code Ultimate Guide","repo":"FlorianBruniaux/claude-code-ultimate-guide","githubUrl":"https://github.com/FlorianBruniaux/claude-code-ultimate-guide","homepage":"https://cc.bruniaux.com/","pageUrl":"/repo/claude-code-ultimate-guide","category":"Learning resources","tagline":"A large guide to learning Claude Code, Anthropic's AI coding assistant, from first steps to team use.","whatItDoes":["This guide teaches how to use Claude Code, an AI coding assistant from Anthropic. It starts with a quick first task and moves on to building agents, workflows and memory.","Later sections cover security, team adoption, costs and governance. It also offers cheat sheets, quizzes, diagrams and reusable templates.","The main reading experience is the project's website; the repository holds the source text."],"whoFor":"Developers and teams learning Claude Code or scaling its use at work.","useWithoutCoding":"Yes","keywords":["claude code","ai coding guide","tutorial","anthropic","agents"],"rating":2,"tags":["New this week"],"owner":{"name":"Florian BRUNIAUX","githubUrl":"https://github.com/FlorianBruniaux"},"license":"CC-BY-SA-4.0","stars":6196,"contributors":19,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T13:40:23Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the guide's website and start with the Quick Start section."],"officialDownload":null},{"slug":"video2x","name":"Video2X","repo":"k4yt3x/video2x","githubUrl":"https://github.com/k4yt3x/video2x","homepage":"https://docs.video2x.org/","pageUrl":"/repo/video2x","category":"Images & video","tagline":"Makes videos sharper and smoother using AI to upscale resolution and add in-between frames.","whatItDoes":["Video2X improves videos and images using machine learning. It can upscale, which means increasing the resolution so a small or blurry video looks sharper on a big screen.","It can also do frame interpolation, adding new frames between existing ones so motion looks smoother. It supports several well-known AI models for these jobs, including some aimed at anime.","It works on Windows and Linux and needs a fairly modern processor and graphics card."],"whoFor":"Anyone who wants to improve old, low-resolution or choppy videos, including anime fans and video hobbyists.","useWithoutCoding":"Yes","keywords":["upscale video","video enhancer","anime","frame interpolation","sharpen video"],"rating":2,"tags":[],"owner":{"name":"K4YT3X","githubUrl":"https://github.com/k4yt3x"},"license":"AGPL-3.0","stars":22308,"contributors":26,"monthlyDownloads":null,"lastPushedAt":"2026-03-07T15:39:42Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Linux","Cloud"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["On Windows, download the installer from the project's releases page and run it.","On Linux, install the package for your system or the AppImage file.","No suitable graphics card? Use the free Google Colab notebook instead."],"officialDownload":"https://github.com/k4yt3x/video2x/releases"},{"slug":"destructive-command-guard","name":"dcg (Destructive Command Guard)","repo":"Dicklesworthstone/destructive_command_guard","githubUrl":"https://github.com/Dicklesworthstone/destructive_command_guard","homepage":null,"pageUrl":"/repo/destructive-command-guard","category":"Add-ons for AI coding tools","tagline":"Stops AI coding assistants from running dangerous commands that could wipe out your work.","whatItDoes":["dcg is a safety check that sits in front of AI coding assistants such as Claude Code, Codex, Gemini CLI, Copilot and Cursor. When the assistant tries to run a command that could destroy work, like deleting folders or wiping uncommitted changes, dcg blocks it and suggests a safer option.","Out of the box it covers risky file and Git commands. Optional rule packs add protection for databases, cloud accounts, Docker and more. It also tries to tell the difference between a command being run and the same words just appearing as text."],"whoFor":"Developers who let AI coding agents run commands on their computer.","useWithoutCoding":"With some setup","keywords":["ai safety","coding agent","prevent data loss","claude code hook"],"rating":2,"tags":["New this week"],"owner":{"name":"Jeff Emanuel","githubUrl":"https://github.com/Dicklesworthstone"},"license":"NOASSERTION","stars":6186,"contributors":6,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T19:03:49Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Mac","Windows"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Run the quick install script from the README in a terminal.","It detects your AI coding tools and sets up the guard for each one automatically."],"officialDownload":null},{"slug":"tongyi-deepresearch","name":"Tongyi DeepResearch","repo":"Alibaba-NLP/DeepResearch","githubUrl":"https://github.com/Alibaba-NLP/DeepResearch","homepage":"https://tongyi-agent.github.io/blog/introducing-tongyi-deep-research/","pageUrl":"/repo/tongyi-deepresearch","category":"AI models & research","tagline":"An open AI model from Alibaba's Tongyi Lab built to search the web deeply and research hard questions.","whatItDoes":["Tongyi DeepResearch is an AI model designed for long research tasks: searching the web, reading many pages and piecing together an answer. Its makers say it scores highly on several research benchmarks.","You can try online demos, download the model, or call it through OpenRouter without your own hardware. The repository also links to the lab's family of related web-agent papers."],"whoFor":"AI researchers and developers building research assistants.","useWithoutCoding":"Developers only","keywords":["deep research","research agent","web search ai","open model"],"rating":2,"tags":["Research-backed"],"owner":{"name":"Tongyi Lab, Alibaba Group","githubUrl":"https://github.com/Alibaba-NLP"},"license":"Apache-2.0","stars":20054,"contributors":30,"monthlyDownloads":null,"lastPushedAt":"2026-02-27T13:12:11Z","sources":[{"site":"Research paper","title":"Tongyi DeepResearch paper","url":"https://arxiv.org/abs/2510.24701","date":"2025-10-01"},{"site":"Research paper","title":"WebWalker: Benchmarking LLMs in Web Traversal","url":"https://arxiv.org/abs/2501.07572","date":"2025-01-01"},{"site":"Research paper","title":"WebDancer: Towards Autonomous Information Seeking Agency","url":"https://arxiv.org/abs/2505.22648","date":"2025-05-01"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Web browser"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Try the online demo on Hugging Face or ModelScope in your browser.","To run it yourself, download the model and add API keys for the search and reading services it uses."],"officialDownload":null},{"slug":"hexstrike-ai","name":"HexStrike AI","repo":"0x4m4/hexstrike-ai","githubUrl":"https://github.com/0x4m4/hexstrike-ai","homepage":"https://www.hexstrike.com/","pageUrl":"/repo/hexstrike-ai","category":"AI agents","tagline":"Connects AI assistants to a large set of security-testing tools so they can run automated security checks.","whatItDoes":["HexStrike AI is an MCP server, a connector that lets AI assistants such as Claude or GPT use outside tools. Here the tools are well-known programs for security testing, also called penetration testing.","Its makers say the AI can choose which tools to run, adjust its approach based on results, and produce reports of weaknesses it finds. It is aimed at bug bounty work, capture-the-flag contests and security research.","Testing systems you do not own or have permission to test is usually illegal, so this kind of tool is only for authorised work."],"whoFor":"Security professionals and researchers doing authorised security testing.","useWithoutCoding":"Developers only","keywords":["penetration testing","security testing","bug bounty","cybersecurity ai"],"rating":2,"tags":["New this week"],"owner":{"name":"Muhammad Osama","githubUrl":"https://github.com/0x4m4"},"license":"MIT","stars":12916,"contributors":2,"monthlyDownloads":null,"lastPushedAt":"2026-08-03T14:33:09Z","sources":[],"checkedByPerson":true,"cost":"Free, but needs an AI account","runsOn":["Linux"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"arcreel","name":"ArcReel","repo":"ArcReel/ArcReel","githubUrl":"https://github.com/ArcReel/ArcReel","homepage":"https://arc-reel.com/","pageUrl":"/repo/arcreel","category":"Images & video","tagline":"A self-hosted workspace that turns novels, scripts or product material into short AI-made videos.","whatItDoes":["ArcReel is a video production workspace you run yourself. It turns a novel, a finished script or product material into characters, scenes, storyboards, video clips and a final film.","Its makers say it keeps characters looking the same across shots by reusing reference images. You can approve key steps, redo single pieces and roll back to earlier versions.","You connect your own text, image, video and voice AI services, and it shows costs before and after generating. Videos can also be exported as drafts for the editing app Jianying (the Chinese version of CapCut)."],"whoFor":"Creators and small teams making short dramas, narrated videos or ads with AI.","useWithoutCoding":"With some setup","keywords":["ai video","novel to video","storyboard","short drama"],"rating":2,"tags":["New this week"],"owner":{"name":"ArcReel","githubUrl":"https://github.com/ArcReel"},"license":"AGPL-3.0","stars":5571,"contributors":23,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:50:06Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Server"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Install Docker and start ArcReel with Docker Compose.","Open the web page and sign in as admin.","In Settings, connect your text, image and video AI services, then create a project."],"officialDownload":null},{"slug":"aipoch-open-science","name":"AIPOCH Open-Science","repo":"aipoch/open-science","githubUrl":"https://github.com/aipoch/open-science","homepage":"https://aipoch.com/open-science","pageUrl":"/repo/aipoch-open-science","category":"AI agents","tagline":"A desktop research workbench where AI agents help scientists analyse data, run code and write reports.","whatItDoes":["AIPOCH Open-Science is an app for researchers. You create a project, describe your research goal in plain language, and AI agents read files, search the web, run Python or R code, query scientific databases and produce reports, tables and figures.","Its makers say every result keeps a traceable record of how it was made, so work can be checked and repeated. Finished sessions can be exported as packages for review or archiving.","It covers fields such as statistics, life sciences, chemistry, physics and environmental science. It works with different AI model providers and keeps your work on your computer."],"whoFor":"Scientists, researchers and students doing data-heavy research.","useWithoutCoding":"Yes","keywords":["ai for science","research assistant","data analysis","reproducible research"],"rating":2,"tags":["New this week"],"owner":{"name":"AIPOCH","githubUrl":"https://github.com/aipoch"},"license":"Apache-2.0","stars":5210,"contributors":25,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:24:58Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Download the installer for your computer from the project's official download page.","Follow the setup wizard and connect an AI model provider.","Create a project and describe your research goal in plain words."],"officialDownload":null},{"slug":"google-agents-cli","name":"agents-cli","repo":"google/agents-cli","githubUrl":"https://github.com/google/agents-cli","homepage":"https://google.github.io/agents-cli/","pageUrl":"/repo/google-agents-cli","category":"Add-ons for AI coding tools","tagline":"Gives AI coding assistants the skills to build, test and launch AI agents on Google Cloud.","whatItDoes":["agents-cli is a command-line tool and a set of skills from Google. It teaches AI coding assistants such as Claude Code, Codex or Antigravity how to create AI agents with Google's Agent Development Kit.","Your assistant can then set up a project, test the agent, deploy it to Google Cloud and register it with Gemini. You describe what you want, and the assistant uses the tool."],"whoFor":"Developers building AI agents on Google Cloud with the help of a coding assistant.","useWithoutCoding":"Developers only","keywords":["google cloud","ai agents","gemini","coding assistant"],"rating":2,"tags":["New this week"],"owner":{"name":"Google","githubUrl":"https://github.com/google"},"license":"Apache-2.0","stars":6099,"contributors":8,"monthlyDownloads":null,"lastPushedAt":"2026-10-12T19:47:06Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install the tools the README lists, including Python and Node.js.","Run the agents-cli setup to add its skills to your coding assistant.","Open your coding assistant and ask it to build an agent."],"officialDownload":null},{"slug":"open-seo-mcp-skills","name":"Open SEO MCP Skills","repo":"Ryze-AI-Adgent/open-seo-mcp-skills","githubUrl":"https://github.com/Ryze-AI-Adgent/open-seo-mcp-skills","homepage":"https://www.get-ryze.ai/how-to-connect-claude-to-google-meta-ads-mcp","pageUrl":"/repo/open-seo-mcp-skills","category":"Add-ons for AI coding tools","tagline":"SEO skills for Claude that use your own Search Console, Analytics and ads data.","whatItDoes":["These skills let Claude run site audits, keyword research, rank tracking and competitor checks. They get data through the Ryze connector, linked to your Google Search Console, Analytics and ads accounts.","The skills are open source; data comes through your Ryze workspace."],"whoFor":"Website owners and marketers who use Claude.","useWithoutCoding":"With some setup","keywords":["seo","keyword research","site audit","claude"],"rating":2,"tags":["New this week"],"owner":{"name":"Ryze AI Adgent","githubUrl":"https://github.com/Ryze-AI-Adgent"},"license":"MIT","stars":6059,"contributors":1,"monthlyDownloads":null,"lastPushedAt":"2026-10-13T03:37:44Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["In Claude's settings, add the Ryze connector and link your Google accounts.","Install the skills, then ask Claude to audit your site."],"officialDownload":null},{"slug":"deep-learning-for-image-processing","name":"Deep Learning for Image Processing","repo":"WZMIAOMIAO/deep-learning-for-image-processing","githubUrl":"https://github.com/WZMIAOMIAO/deep-learning-for-image-processing","homepage":null,"pageUrl":"/repo/deep-learning-for-image-processing","category":"Learning resources","tagline":"A Chinese-language video course and code on how AI recognises and finds objects in images.","whatItDoes":["This is a tutorial series, in Chinese, on using deep learning for images. It covers sorting pictures into categories, spotting objects in a photo, and outlining objects pixel by pixel.","Each lesson explains how a well-known AI model is designed, then shows how to build and train it in code using PyTorch and TensorFlow. The videos are on Bilibili, and the slides and code are in the repository."],"whoFor":"Chinese-speaking students and programmers learning computer vision.","useWithoutCoding":"Developers only","keywords":["computer vision","image recognition","course","pytorch","object detection"],"rating":2,"tags":[],"owner":{"name":"Zhe Wu","githubUrl":"https://github.com/WZMIAOMIAO"},"license":"GPL-3.0","stars":26416,"contributors":7,"monthlyDownloads":null,"lastPushedAt":"2026-01-01T07:16:34Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Pick a topic from the course list and watch its video lesson.","Download the course slides from the repository's slides folder if you need them."],"officialDownload":null},{"slug":"opencursor","name":"OpenCursor","repo":"PawanOsman/OpenCursor","githubUrl":"https://github.com/PawanOsman/OpenCursor","homepage":"https://marketplace.visualstudio.com/items?itemName=pkrd.ocursor","pageUrl":"/repo/opencursor","category":"Coding assistants","tagline":"An open-source AI coding agent inside VS Code that works with your choice of AI model.","whatItDoes":["OpenCursor adds an AI coding agent to VS Code, a popular code editor. You can chat about your project, and the agent can read and edit files, search code and run commands. You then review the changes and keep or undo them.","It works with many AI providers using your own accounts or API keys, and with local models through Ollama or llama.cpp. You can set which actions need your approval."],"whoFor":"Programmers who use VS Code and want an AI agent with their choice of model.","useWithoutCoding":"Developers only","keywords":["vs code ai","cursor alternative","coding agent","ollama","ai programming"],"rating":2,"tags":["New this week"],"owner":{"name":"Pawan Osman","githubUrl":"https://github.com/PawanOsman"},"license":"MIT","stars":6033,"contributors":12,"monthlyDownloads":null,"lastPushedAt":"2026-09-25T08:24:32Z","sources":[{"site":"Hacker News","title":"Claude Code for VSCode","url":"https://news.ycombinator.com/item?id=44353490","date":"2025-06-23"},{"site":"Hacker News","title":"Show HN: Nogic – VS Code extension that visualizes your codebase as a graph","url":"https://news.ycombinator.com/item?id=46605675","date":"2026-01-13"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install OpenCursor from the VS Code Marketplace.","Open its sidebar settings and connect an AI account, an API key or a local model.","Pick a model and describe what you want to build or fix."],"officialDownload":"https://github.com/PawanOsman/OpenCursor/releases"},{"slug":"langgpt","name":"LangGPT","repo":"langgptai/LangGPT","githubUrl":"https://github.com/langgptai/LangGPT","homepage":"https://github.com/langgptai","pageUrl":"/repo/langgpt","category":"Learning resources","tagline":"A structured, template-based way to write clear, reusable prompts for AI chatbots.","whatItDoes":["LangGPT is a method for writing prompts, the instructions you give an AI chatbot. Instead of loose tips, it offers a fill-in template with sections such as role, profile, goals, skills, rules and workflow.","Its makers say many popular chatbots already recognise the LangGPT style, so you can simply ask one to \"write a prompt the LangGPT way\". The project also shares example prompts, essays on prompt design and a skill for Claude Code.","Much of the extra material, such as the essays and example library, is written in Chinese."],"whoFor":"Anyone who uses AI chatbots and wants more reliable results from their prompts.","useWithoutCoding":"Yes","keywords":["prompt template","structured prompts","prompt engineering","chatgpt prompts","better prompts"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"LangGPT.ai","githubUrl":"https://github.com/langgptai"},"license":"Apache-2.0","stars":12606,"contributors":9,"monthlyDownloads":null,"lastPushedAt":"2026-09-11T02:11:09Z","sources":[{"site":"Research paper","title":"LangGPT research paper","url":"https://arxiv.org/abs/2402.16929","date":"2024-02-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Ask any major chatbot to write you a prompt the LangGPT way.","Or copy the basic template from the project page and fill in the role, goals, rules and workflow for your task."],"officialDownload":"https://github.com/langgptai/LangGPT/releases"},{"slug":"sensenova-skills","name":"SenseNova-Skills","repo":"OpenSenseNova/SenseNova-Skills","githubUrl":"https://github.com/OpenSenseNova/SenseNova-Skills","homepage":null,"pageUrl":"/repo/sensenova-skills","category":"AI agents","tagline":"Ready-made skills that let AI agents make slides, infographics and charts, analyse spreadsheets and do research.","whatItDoes":["SenseNova-Skills is a collection of \"skills\", packaged instructions and tools that an AI agent can use, built around SenseNova AI models from SenseTime. They are made for agent apps such as OpenClaw and hermes-agent.","The skills cover office work: generating images and infographics, building slide decks, analysing Excel files, deep research, and project tracking. They can be used alone or chained together.","They are designed to use the SenseNova online service, which needs an API key. The makers also offer the same features in a ready-to-use product called Raccoon."],"whoFor":"People already running an AI agent who want it to produce office documents and analysis.","useWithoutCoding":"With some setup","keywords":["slide generator","infographics","excel analysis","office ai","agent skills"],"rating":2,"tags":["New this week"],"owner":{"name":"SenseNova","githubUrl":"https://github.com/OpenSenseNova"},"license":"MIT","stars":5793,"contributors":21,"monthlyDownloads":null,"lastPushedAt":"2026-10-09T02:09:42Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Set up a compatible agent app such as OpenClaw or hermes-agent.","Ask the agent to install the skills from this project, or copy them into its skills folder, then add a SenseNova API key."],"officialDownload":null},{"slug":"deep-searcher","name":"DeepSearcher","repo":"zilliztech/deep-searcher","githubUrl":"https://github.com/zilliztech/deep-searcher","homepage":"https://zilliztech.github.io/deep-searcher/","pageUrl":"/repo/deep-searcher","category":"Documents & knowledge","tagline":"Searches and reasons over your own private documents to give detailed answers and reports.","whatItDoes":["DeepSearcher is a \"deep research\" tool for private data. You load your own files, and it stores them in a vector database (a kind of database that finds text by meaning). When you ask a question, an AI model searches those files, reasons over what it finds and writes an answer or report.","It works with many AI models, including OpenAI, DeepSeek and Claude, and can also run local models through Ollama. It can add online content when needed."],"whoFor":"Developers and companies who want AI answers based on their own internal documents.","useWithoutCoding":"Developers only","keywords":["deep research","private documents","ask your documents","rag","search"],"rating":2,"tags":["New this week"],"owner":{"name":"Zilliz","githubUrl":"https://github.com/zilliztech"},"license":"Apache-2.0","stars":8345,"contributors":32,"monthlyDownloads":71,"lastPushedAt":"2026-09-22T10:08:42Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"shimmy","name":"Shimmy","repo":"Michael-A-Kuykendall/shimmy","githubUrl":"https://github.com/Michael-A-Kuykendall/shimmy","homepage":null,"pageUrl":"/repo/shimmy","category":"Run AI on your computer","tagline":"A tiny single-file program that runs AI chat models on your computer and works with existing AI apps.","whatItDoes":["Shimmy is a small inference server, a program that runs an AI language model and answers requests. It loads models saved in the common GGUF format and lets other AI tools connect to it as if it were OpenAI's service.","Its makers say it is a single file with no extra dependencies, written entirely in Rust, and uses your graphics card through WebGPU on NVIDIA, AMD, Intel and Apple hardware.","It lists a set of tested models from families such as Llama, Qwen, Phi, Gemma and DeepSeek, and the makers say it will always be free."],"whoFor":"Developers and tinkerers who want a lightweight way to run AI models locally.","useWithoutCoding":"With some setup","keywords":["local ai","offline","ollama alternative","private","llm server"],"rating":2,"tags":["New this week"],"owner":{"name":"Mike Kuykendall","githubUrl":"https://github.com/Michael-A-Kuykendall"},"license":"Apache-2.0","stars":5983,"contributors":2,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T00:54:34Z","sources":[{"site":"Hacker News","title":"Show HN: Shimmy – 5MB privacy-first, local alternative to Ollama (680MB)","url":"https://news.ycombinator.com/item?id=45130322","date":"2025-09-04"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install the Rust programming tools, then install Shimmy with Rust's package tool.","Download a model file in GGUF format.","Start Shimmy with that model and point your AI app at it."],"officialDownload":null},{"slug":"ccg-workflow","name":"CCG","repo":"fengshao1227/ccg-workflow","githubUrl":"https://github.com/fengshao1227/ccg-workflow","homepage":"https://ccg.fengshao1227.com/","pageUrl":"/repo/ccg-workflow","category":"Add-ons for AI coding tools","tagline":"Lets Claude Code hand out parts of a coding task to other AI models like Codex and Gemini.","whatItDoes":["CCG is a workflow add-on for Claude Code. Claude stays in charge: it reads your request, chooses a strategy and sends specialised work to other AI coding tools, such as OpenAI's Codex and Google's Gemini.","It includes several built-in strategies, from quick fixes to large features. For bigger jobs it makes a plan and stops for your approval before building, then has the models review each other's work. It also offers installable skills."],"whoFor":"Programmers who already use Claude Code and want to combine it with other AI coding tools.","useWithoutCoding":"Developers only","keywords":["claude code","codex","gemini","multi-model","coding workflow"],"rating":2,"tags":["New this week"],"owner":{"name":"风少1227","githubUrl":"https://github.com/fengshao1227"},"license":"MIT","stars":5943,"contributors":10,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T16:13:01Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"how-to-build-a-coding-agent","name":"How to Build a Coding Agent","repo":"ghuntley/how-to-build-a-coding-agent","githubUrl":"https://github.com/ghuntley/how-to-build-a-coding-agent","homepage":"https://ghuntley.com/agent/","pageUrl":"/repo/how-to-build-a-coding-agent","category":"Learning resources","tagline":"A step-by-step workshop that teaches you to build your own AI coding assistant.","whatItDoes":["This workshop walks you through building an AI coding assistant, similar to tools like Cursor or Cline. You start with a simple chatbot that talks to Claude.","Then you add abilities one at a time: reading files, listing folders, running commands, editing files and searching code. The README explains how the assistant loops between your request, the AI and its tools.","The examples are written in the Go programming language."],"whoFor":"Programmers curious about how AI coding agents work inside.","useWithoutCoding":"Developers only","keywords":["workshop","build an ai agent","coding agent","tutorial"],"rating":2,"tags":["New this week"],"owner":{"name":"Geoffrey Huntley","githubUrl":"https://github.com/ghuntley"},"license":null,"stars":5905,"contributors":4,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T07:14:12Z","sources":[{"site":"Hacker News","title":"How to build a coding agent","url":"https://news.ycombinator.com/item?id=45001051","date":"2025-08-24"},{"site":"Hacker News","title":"Visual Studio Code is designed to fracture (2022)","url":"https://news.ycombinator.com/item?id=41691577","date":"2024-09-29"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Install the Go programming language, or the recommended devenv tool.","Get an API key from Anthropic.","Work through the six versions of the assistant in order."],"officialDownload":null},{"slug":"moss","name":"MOSS","repo":"OpenMOSS/MOSS","githubUrl":"https://github.com/OpenMOSS/MOSS","homepage":"https://txsun1997.github.io/blogs/moss.html","pageUrl":"/repo/moss","category":"AI models & research","tagline":"An open chat AI model from Fudan University that speaks Chinese and English and can use tools.","whatItDoes":["MOSS is an open-source chat language model (the kind of AI behind chatbots) that works in both Chinese and English. Some versions can use plugins, such as a search engine, a calculator, an equation solver and an image maker.","The project shares the model files, the conversation data used to train it, and code for running and fine-tuning it (teaching it new skills).","Its makers warn that, being fairly small, it can still give wrong or biased answers, so its output should be checked. Running it needs a graphics card with a lot of memory."],"whoFor":"Researchers and developers working with Chinese and English chat models.","useWithoutCoding":"Developers only","keywords":["chinese chatbot","open model","bilingual ai","language model"],"rating":2,"tags":["New this week"],"owner":{"name":"OpenMOSS (SII)","githubUrl":"https://github.com/OpenMOSS"},"license":"Apache-2.0","stars":12277,"contributors":18,"monthlyDownloads":null,"lastPushedAt":"2026-09-06T06:19:22Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"open-dots","name":"Open Dots","repo":"Anil-matcha/open-dots","githubUrl":"https://github.com/Anil-matcha/open-dots","homepage":null,"pageUrl":"/repo/open-dots","category":"AI agents","tagline":"A self-hosted workspace for running Claude coding tasks from the web or Telegram, with approvals.","whatItDoes":["Open Dots is a self-hosted workspace for running coding-agent tasks. Today it works with the Claude Code tool, and you can send it tasks from a web page or from Telegram, a chat app.","Tasks run in throwaway sandboxes, and it asks for your approval before risky steps such as writing files, running commands or pushing code. You can connect GitHub, schedule repeating prompts and continue earlier conversations.","The README calls it an early prototype in active development. It supports Claude only, and there is an experimental desktop app."],"whoFor":"Developers who want their own inspectable agent workspace instead of a paid agent product.","useWithoutCoding":"Developers only","keywords":["ai agent","claude code","self-hosted","telegram bot","automation"],"rating":2,"tags":["New this week"],"owner":{"name":"Anil Chandra Naidu Matcha","githubUrl":"https://github.com/Anil-matcha"},"license":null,"stars":5870,"contributors":6,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T12:07:29Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux","Server","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"awesome-hermes-agent","name":"Awesome Hermes Agent","repo":"0xNyk/awesome-hermes-agent","githubUrl":"https://github.com/0xNyk/awesome-hermes-agent","homepage":"https://www.nyk.dev/oss/awesome-hermes-agent","pageUrl":"/repo/awesome-hermes-agent","category":"Learning resources","tagline":"An independent list of skills, plugins and tools for Nous Research's Hermes Agent.","whatItDoes":["This directory gathers add-ons for Hermes Agent, an open-source AI agent, with tags showing how mature each one is.","It notes it is not an official Nous Research project, that featured spots are paid ads, and advises checking each tool before use."],"whoFor":"Hermes Agent users looking for add-ons.","useWithoutCoding":"Yes","keywords":["hermes agent","ai agent","awesome list","plugins"],"rating":2,"tags":["New this week"],"owner":{"name":"nyk","githubUrl":"https://github.com/0xNyk"},"license":"NOASSERTION","stars":5862,"contributors":13,"monthlyDownloads":null,"lastPushedAt":"2026-09-22T06:26:00Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Start with the list's \"Where Do I Start?\" section."],"officialDownload":null},{"slug":"sqlchat","name":"SQL Chat","repo":"sqlchat/sqlchat","githubUrl":"https://github.com/sqlchat/sqlchat","homepage":"https://sqlchat.ai/","pageUrl":"/repo/sqlchat","category":"Everyday tools","tagline":"Ask questions of your database in plain language instead of writing SQL code.","whatItDoes":["SQL is the language used to get information out of databases. SQL Chat lets you talk to a database in everyday words instead. You type what you want, such as finding or changing records, and it works out the database commands.","It supports MySQL, PostgreSQL, MSSQL, TiDB Cloud and OceanBase. You can use the hosted version or run it yourself with Docker and an OpenAI API key. The README notes Ollama can be used for a self-hosted model."],"whoFor":"People who work with databases and want an easier, chat-style way to query them.","useWithoutCoding":"With some setup","keywords":["text to sql","database chat","sql helper","query database","mysql"],"rating":2,"tags":["New this week"],"owner":{"name":"SQL Chat","githubUrl":"https://github.com/sqlchat"},"license":"MIT","stars":5843,"contributors":17,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T11:53:07Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Web browser","Server"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Use the hosted version from the project's website, or run it yourself with Docker and your OpenAI API key.","Add a connection to your database.","Type a question about your data in plain words."],"officialDownload":null},{"slug":"claude-scholar","name":"Claude Scholar","repo":"Galaxy-Dawn/claude-scholar","githubUrl":"https://github.com/Galaxy-Dawn/claude-scholar","homepage":null,"pageUrl":"/repo/claude-scholar","category":"Add-ons for AI coding tools","tagline":"Add-ons that turn AI coding assistants into helpers for academic research, from reading papers to writing them.","whatItDoes":["Claude Scholar is a set of skills, agents and commands that you add to AI coding tools such as Claude Code, Codex CLI, Kimi Code CLI or OpenCode. It focuses on academic research, especially in computer science and AI.","It helps with coming up with ideas, organising and summarising papers, running and analysing experiments, writing, responding to reviewers and getting work published. It can connect to Zotero for references and Obsidian for notes.","Its makers stress that it is not meant to replace the researcher. People make the key decisions while the assistant speeds up repetitive work."],"whoFor":"Researchers and graduate students who already use an AI coding assistant.","useWithoutCoding":"With some setup","keywords":["academic research","paper writing","literature review","zotero","claude code"],"rating":2,"tags":["New this week"],"owner":{"name":"Gaorui Zhang","githubUrl":"https://github.com/Galaxy-Dawn"},"license":"MIT","stars":5828,"contributors":6,"monthlyDownloads":null,"lastPushedAt":"2026-09-23T07:23:56Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install it in full, minimal or selective mode, following the README's quick start.","Try one of the getting-started scenarios, such as importing papers into Zotero for review."],"officialDownload":null},{"slug":"mimiclaw","name":"MimiClaw","repo":"memovai/mimiclaw","githubUrl":"https://github.com/memovai/mimiclaw","homepage":"https://mimiclaw.io/","pageUrl":"/repo/mimiclaw","category":"Smart home & gadgets","tagline":"Turns a tiny, cheap ESP32 circuit board into a personal AI assistant you message through Telegram.","whatItDoes":["MimiClaw runs a personal AI assistant on a small ESP32-S3 board, a thumb-sized chip that costs a few dollars. Plug it into USB power, connect it to Wi-Fi, and message it through Telegram.","The board passes your messages to Claude or GPT, lets the AI use tools, and keeps a memory that survives restarts. Its makers say it uses very little power and can run all day.","Setting it up means building the software and loading it onto the board, and you need a Telegram bot and an Anthropic or OpenAI API key."],"whoFor":"Electronics hobbyists and makers who want a low-power, always-on AI assistant.","useWithoutCoding":"Developers only","keywords":["esp32","tiny ai assistant","telegram bot","hardware","maker project"],"rating":2,"tags":["New this week"],"owner":{"name":"MemoV","githubUrl":"https://github.com/memovai"},"license":"MIT","stars":5799,"contributors":8,"monthlyDownloads":null,"lastPushedAt":"2026-10-04T06:40:28Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"gpt-image2-skill","name":"GPT Image 2 Prompt Gallery + Skills","repo":"wuyoscar/GPT-Image2-Skill","githubUrl":"https://github.com/wuyoscar/GPT-Image2-Skill","homepage":null,"pageUrl":"/repo/gpt-image2-skill","category":"Images & video","tagline":"A gallery of example prompts plus add-ons and a command-line tool for making images with OpenAI's image models.","whatItDoes":["This project collects many example prompts for OpenAI's GPT Image models, sorted into categories with sample pictures, so you can see what works and copy ideas.","It also includes two skills for AI agents such as Claude Code and Codex: one to create or edit images, and one to work out a prompt from an existing picture. A command-line tool does the same from a terminal.","The author suggests short prompts with a clear reference image, sketch or layout work best."],"whoFor":"Designers, creators and agent users who make images with OpenAI's image models.","useWithoutCoding":"With some setup","keywords":["image prompts","ai image generator","prompt library","gpt image"],"rating":2,"tags":["New this week"],"owner":{"name":"Oscar (Yutao) Wu","githubUrl":"https://github.com/wuyoscar"},"license":"MIT","stars":5786,"contributors":2,"monthlyDownloads":null,"lastPushedAt":"2026-09-30T11:54:50Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Browse the prompt gallery on the project page for ideas.","Add the image skill to an AI agent tool that supports skills, or install the command-line tool.","Connect your OpenAI account and ask for an image using a prompt from the gallery."],"officialDownload":null},{"slug":"smartsub","name":"SmartSub","repo":"buxuku/SmartSub","githubUrl":"https://github.com/buxuku/SmartSub","homepage":"https://smartsub.linxiaodong.com/","pageUrl":"/repo/smartsub","category":"Speech & audio","tagline":"A free desktop app that makes, translates and voices subtitles for your videos.","whatItDoes":["SmartSub (妙幕) turns the speech in audio and video into subtitles using models such as Whisper that run on your own computer, so files don't leave your machine. It can then translate the subtitles, help you proof-read them, and burn them into the video.","It can also create a new voice track from the subtitles with text-to-speech, including cloning a voice from a short recording. A built-in AI assistant helps edit subtitles and fix problems, and other AI tools can control it through MCP.","Its makers say the whole process can run free with local models, and you can add online translation, transcription or voice services if you like."],"whoFor":"Video creators, translators, students and anyone who needs subtitles or dubbing for videos, podcasts or lectures.","useWithoutCoding":"Yes","keywords":["subtitles","transcription","translation","dubbing","whisper"],"rating":2,"tags":["New this week"],"owner":{"name":" Lin Xiaodong","githubUrl":"https://github.com/buxuku"},"license":"MIT","stars":5761,"contributors":16,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:41:12Z","sources":[],"checkedByPerson":true,"cost":"Free","runsOn":["Windows","Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the installer for your computer from the project's releases page.","Follow the welcome guide to download a speech model.","Drag in a video or audio file, choose the languages, and start."],"officialDownload":"https://github.com/buxuku/SmartSub/releases"},{"slug":"short-video-factory","name":"Short Video Factory","repo":"YILS-LIN/short-video-factory","githubUrl":"https://github.com/YILS-LIN/short-video-factory","homepage":"https://short-video-factory.yils.blog/","pageUrl":"/repo/short-video-factory","category":"Images & video","tagline":"A desktop app that writes a script, adds a voice-over and subtitles, and edits short videos from your clips.","whatItDoes":["Short Video Factory helps make short marketing and general-interest videos. You give it a text prompt and your own video clips, and it writes the script, turns it into a spoken voice-over, adds subtitles and edits everything together.","It can run batches, making videos one after another from a preset. Script writing works with AI services that use the OpenAI-style interface, and voice-over uses Microsoft Edge's text-to-speech.","The README is mainly in Chinese and says the app supports Chinese, English and other languages."],"whoFor":"Small businesses, marketers and creators who make lots of short videos.","useWithoutCoding":"Yes","keywords":["short video maker","auto video editing","tiktok videos","marketing videos","ai video"],"rating":2,"tags":["New this week"],"owner":{"name":"YILS","githubUrl":"https://github.com/YILS-LIN"},"license":"AGPL-3.0","stars":5747,"contributors":3,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T09:12:25Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Download the latest version for your computer from the project's releases page.","Add the details for an AI text service in the settings.","Enter a prompt, add your video clips and let it build the video."],"officialDownload":"https://github.com/YILS-LIN/short-video-factory/releases"},{"slug":"nsfwjs","name":"NSFWJS","repo":"infinitered/nsfwjs","githubUrl":"https://github.com/infinitered/nsfwjs","homepage":"https://nsfwjs.com/","pageUrl":"/repo/nsfwjs","category":"Developer building blocks","tagline":"A JavaScript library that checks images for explicit content right inside the user's browser.","whatItDoes":["NSFWJS helps websites and apps spot inappropriate images. It sorts a picture into five groups, such as neutral, drawing or explicit, and gives a score for each.","It runs in the user's own browser, or in Node.js on a server, so images do not have to be sent elsewhere to be checked. Its makers say it is not perfect but is about 90 percent accurate or more, depending on the model size.","It is often used for content moderation, such as blurring or blocking unsuitable uploads."],"whoFor":"Web and app developers who need to filter or moderate user images.","useWithoutCoding":"Developers only","keywords":["content moderation","image filter","explicit image detection","safe search"],"rating":2,"tags":["New this week"],"owner":{"name":"Infinite Red, Inc.","githubUrl":"https://github.com/infinitered"},"license":"MIT","stars":9009,"contributors":41,"monthlyDownloads":256087,"lastPushedAt":"2026-08-04T15:28:33Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser","Server"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"cleanlab","name":"cleanlab","repo":"cleanlab/cleanlab","githubUrl":"https://github.com/cleanlab/cleanlab","homepage":"https://cleanlab.ai/","pageUrl":"/repo/cleanlab","category":"Developer building blocks","tagline":"Finds mistakes in the data used to train AI, such as wrong labels, duplicates and odd outliers.","whatItDoes":["AI models learn from examples, and those examples often contain errors, like a photo of a cat labelled as a dog. cleanlab is a Python library that uses your existing model to spot these problems automatically.","It can check text, images, audio and table data for wrong labels, duplicates and unusual items, and it can help train models that cope better with messy data.","Its makers say it works with almost any model and is based on published research on a method called confident learning."],"whoFor":"Data scientists and machine-learning engineers who want cleaner training data.","useWithoutCoding":"Developers only","keywords":["data cleaning","label errors","data quality","outlier detection","machine learning"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"Cleanlab","githubUrl":"https://github.com/cleanlab"},"license":"Apache-2.0","stars":11712,"contributors":56,"monthlyDownloads":null,"lastPushedAt":"2026-01-13T17:39:04Z","sources":[{"site":"Research paper","title":"Confident Learning: Estimating Uncertainty in Dataset Labels","url":"https://arxiv.org/abs/1911.00068","date":"2019-11-01"},{"site":"Hacker News","title":"Beware of Unreliable Data in Model Evaluation: A LLM Prompt Selection Case Study","url":"https://news.ycombinator.com/item?id=36523647","date":"2023-06-29"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"homemade-machine-learning","name":"Homemade Machine Learning","repo":"trekhleb/homemade-machine-learning","githubUrl":"https://github.com/trekhleb/homemade-machine-learning","homepage":null,"pageUrl":"/repo/homemade-machine-learning","category":"Learning resources","tagline":"Explains popular machine learning methods with simple code written from scratch and interactive demos.","whatItDoes":["This project teaches how common machine learning methods work by building them from scratch in Python, instead of using ready-made libraries. Each method comes with an explanation of the maths behind it.","Topics include predicting numbers, sorting things into groups, finding clusters and simple neural networks. Each one has an interactive notebook where you can change the data and settings and see the results, for example predicting a country's happiness score from its economy."],"whoFor":"Students and programmers who want to understand what's going on inside machine learning.","useWithoutCoding":"Developers only","keywords":["learn machine learning","algorithms","maths","python","tutorial"],"rating":2,"tags":[],"owner":{"name":"Oleksii Trekhleb","githubUrl":"https://github.com/trekhleb"},"license":"MIT","stars":24828,"contributors":3,"monthlyDownloads":null,"lastPushedAt":"2025-11-23T04:22:46Z","sources":[{"site":"Hacker News","title":"Interactive Jupyter/Python demos of popular machine-learning algorithms","url":"https://news.ycombinator.com/item?id=18761637","date":"2018-12-26"},{"site":"Hacker News","title":"Homemade machine learning on Python with interactive Jupyter demos","url":"https://news.ycombinator.com/item?id=18732699","date":"2018-12-21"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open any demo notebook in your browser through the Binder link, with nothing to install.","Change the training data or settings and see the results and charts update."],"officialDownload":null},{"slug":"annyang","name":"annyang","repo":"TalAter/annyang","githubUrl":"https://github.com/TalAter/annyang","homepage":"https://www.talater.com/annyang/","pageUrl":"/repo/annyang","category":"Speech & audio","tagline":"A tiny JavaScript library that lets website visitors control a site with spoken commands.","whatItDoes":["annyang adds voice commands to a website. A developer lists phrases, such as \"hello\" or \"search for something\", and what should happen when a visitor says them.","It relies on the speech recognition built into the visitor's web browser, so it only works where the browser supports it. Its makers say it is very small and has no other dependencies."],"whoFor":"Web developers who want to add simple voice control to their sites.","useWithoutCoding":"Developers only","keywords":["voice commands","speech recognition","website","javascript","voice control"],"rating":2,"tags":["New this week"],"owner":{"name":"Tal Ater","githubUrl":"https://github.com/TalAter"},"license":"MIT","stars":6819,"contributors":38,"monthlyDownloads":19414,"lastPushedAt":"2026-10-13T03:45:48Z","sources":[{"site":"Hacker News","title":"Chrome Bugs Allow Sites to Listen to Your Private Conversations","url":"https://news.ycombinator.com/item?id=7104817","date":"2014-01-22"},{"site":"Hacker News","title":"Annyang.js – Let visitors control your site with voice commands","url":"https://news.ycombinator.com/item?id=7920582","date":"2014-06-20"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"llm-graph-builder","name":"Knowledge Graph Builder","repo":"neo4j-labs/llm-graph-builder","githubUrl":"https://github.com/neo4j-labs/llm-graph-builder","homepage":"https://llm-graph-builder.neo4jlabs.com/","pageUrl":"/repo/llm-graph-builder","category":"Documents & knowledge","tagline":"Turns documents, web pages and videos into a connected knowledge graph you can chat with.","whatItDoes":["Knowledge Graph Builder uses AI language models to read unstructured material, such as PDFs, documents, web pages and YouTube videos, and turn it into a knowledge graph stored in a Neo4j database.","A knowledge graph is a map of things and how they relate. You can view the graph and ask questions about your data in a chat, with answers that show their sources.","It supports several AI providers, including OpenAI and Gemini, and needs a Neo4j database, which can be a free cloud one."],"whoFor":"Developers and analysts who want to explore connections in a pile of documents.","useWithoutCoding":"With some setup","keywords":["knowledge graph","chat with documents","neo4j","rag","document analysis"],"rating":2,"tags":["New this week"],"owner":{"name":"neo4j-labs","githubUrl":"https://github.com/neo4j-labs"},"license":"Apache-2.0","stars":5283,"contributors":22,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T05:55:41Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux","Server","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"hivisionidphotos","name":"HivisionIDPhoto","repo":"Zeyi-Lin/HivisionIDPhotos","githubUrl":"https://github.com/Zeyi-Lin/HivisionIDPhotos","homepage":"https://modelscope.cn/studios/SwanLab/HivisionIDPhotos","pageUrl":"/repo/hivisionidphotos","category":"Images & video","tagline":"Turns an ordinary photo into a standard ID or passport-style photo with the right size and background.","whatItDoes":["HivisionIDPhoto uses a chain of AI models to make ID photos. It cuts the person out of the background, then produces standard ID-photo sizes and print layouts, such as several photos on one sheet.","Its makers say the cut-out step is lightweight, works fully offline and runs quickly on an ordinary processor. It also offers background colors, beauty touch-ups and face alignment.","It comes with a simple web demo, an API and Docker images, and the community has built extras such as a Windows app and WeChat mini-programs."],"whoFor":"Anyone who needs ID photos quickly, and developers building photo apps.","useWithoutCoding":"With some setup","keywords":["id photo","passport photo","background removal","photo editing"],"rating":2,"tags":[],"owner":{"name":"Ze-Yi LIN","githubUrl":"https://github.com/Zeyi-Lin"},"license":"Apache-2.0","stars":21642,"contributors":24,"monthlyDownloads":null,"lastPushedAt":"2026-07-03T04:12:11Z","sources":[{"site":"Hacker News","title":"Qwen 3.8-Flash-Next releasing tomorrow (125B a6B)","url":"https://news.ycombinator.com/item?id=49432317","date":"2026-08-25"},{"site":"Hacker News","title":"Qwen3.8 Weights Released","url":"https://news.ycombinator.com/item?id=49273277","date":"2026-08-12"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Windows","Mac","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Try it first in one of the online demo pages linked from the project page.","To run it yourself, install Python, download the project and its model files.","Start the local web demo and upload a photo to make an ID photo."],"officialDownload":null},{"slug":"bob-plugin-openai-translator","name":"OpenAI Translator for Bob","repo":"nextai-translator/bob-plugin-openai-translator","githubUrl":"https://github.com/nextai-translator/bob-plugin-openai-translator","homepage":null,"pageUrl":"/repo/bob-plugin-openai-translator","category":"Everyday tools","tagline":"Adds AI translation, polishing and grammar fixes to Bob, a translation app for Mac.","whatItDoes":["This is a plug-in for Bob, a translation app for macOS. It lets Bob use AI models from OpenAI, Google Gemini, MiniMax or any OpenAI-compatible service to translate text.","When the source and target language are the same, it polishes the writing and fixes grammar instead. You can adjust its instructions to change tone, terms or format."],"whoFor":"Mac users of Bob who want AI-powered translation and writing help.","useWithoutCoding":"Yes","keywords":["translation","grammar check","mac translator","openai","bob plugin"],"rating":2,"tags":["New this week"],"owner":{"name":"nextai-translator","githubUrl":"https://github.com/nextai-translator"},"license":"NOASSERTION","stars":5651,"contributors":14,"monthlyDownloads":null,"lastPushedAt":"2026-10-13T05:47:30Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Install the Bob app on your Mac.","Download the latest plug-in file from the project's releases page and open it.","In Bob's service settings, find OpenAI Translator, add your API key and save."],"officialDownload":"https://github.com/nextai-translator/bob-plugin-openai-translator/releases/latest"},{"slug":"tradingview-mcp","name":"TradingView MCP","repo":"atilaahmettaner/tradingview-mcp","githubUrl":"https://github.com/atilaahmettaner/tradingview-mcp","homepage":"https://tradingmcp.ai/","pageUrl":"/repo/tradingview-mcp","category":"Finance & trading","tagline":"Gives AI assistants market data and chart analysis tools for stocks, crypto and currencies.","whatItDoes":["This MCP connector lets AI assistants such as Claude or ChatGPT look up public market data, run screeners and technical indicators, and test strategies on past data.","It says it is not affiliated with TradingView and that its output is not financial advice. A paid hosted version is also offered."],"whoFor":"People who want an AI assistant to look up and analyse market data.","useWithoutCoding":"With some setup","keywords":["stock market","crypto","technical analysis","mcp"],"rating":2,"tags":["New this week"],"owner":{"name":"Ahmet Taner Atila","githubUrl":"https://github.com/atilaahmettaner"},"license":"MIT","stars":5083,"contributors":23,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T21:41:54Z","sources":[],"checkedByPerson":true,"cost":"Free, with optional paid extras","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Add the server to your AI assistant as the README describes.","Ask the assistant a market question to try it."],"officialDownload":null},{"slug":"open-executive","name":"Open Executive","repo":"SenteLabsAI/OpenExecutive","githubUrl":"https://github.com/SenteLabsAI/OpenExecutive","homepage":"https://openexecutive.ai/","pageUrl":"/repo/open-executive","category":"AI agents","tagline":"An AI 'executive team' that answers business questions in one voice, backed by specialist agents.","whatItDoes":["Open Executive gives a business a virtual executive: one AI voice backed by specialist agents for strategy, finance, people, legal, operations, marketing, product, sales and board communications.","It remembers past decisions, can remind you of follow-ups, and draws on your company documents. It connects to Slack, email, Google Workspace, Microsoft 365, Notion and more.","An optional 'Act as me' mode drafts emails from a leader's own Gmail for them to review and send."],"whoFor":"Founders and managers who want AI help with leadership and business decisions.","useWithoutCoding":"Developers only","keywords":["ai executive","business advice","founder assistant","multi-agent","ai for managers"],"rating":2,"tags":["New this week"],"owner":{"name":"SenteLabsAI ","githubUrl":"https://github.com/SenteLabsAI"},"license":"Apache-2.0","stars":5627,"contributors":17,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:47:05Z","sources":[{"site":"Hacker News","title":"CEO fired developers to make room for AI. Developers create open source AI CEO","url":"https://news.ycombinator.com/item?id=49458418","date":"2026-08-27"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Server"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"fireworks-tech-graph","name":"fireworks-tech-graph","repo":"yizhiyanhua-ai/fireworks-tech-graph","githubUrl":"https://github.com/yizhiyanhua-ai/fireworks-tech-graph","homepage":"https://yizhiyanhua-ai.github.io/fireworks-tech-graph/","pageUrl":"/repo/fireworks-tech-graph","category":"Add-ons for AI coding tools","tagline":"A skill for Claude Code and Codex that turns a plain-language description into a polished technical diagram.","whatItDoes":["fireworks-tech-graph is an Agent Skill, a set of instructions and scripts an AI coding assistant can use. You describe a system in English or Chinese, and it draws a technical diagram for you.","It produces SVG and PNG images, short animated GIFs and interactive web pages. There are a dozen visual styles and support for many standard diagram types, including UML (a common way of drawing software designs).","It includes ready patterns for AI topics, such as memory systems, multi-agent setups and tool calls, and checks the layout so lines and labels don't overlap."],"whoFor":"Engineers, technical writers and anyone who needs clear architecture diagrams and already uses Claude Code or Codex.","useWithoutCoding":"With some setup","keywords":["diagrams","architecture diagram","flowchart","uml","svg"],"rating":2,"tags":["New this week"],"owner":{"name":"一支烟花 AI 社区","githubUrl":"https://github.com/yizhiyanhua-ai"},"license":"MIT","stars":11763,"contributors":14,"monthlyDownloads":null,"lastPushedAt":"2026-09-05T14:55:00Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Add the skill to Claude Code or Codex.","Describe the diagram you want in plain words and name a style, and it creates the image files."],"officialDownload":null},{"slug":"transformers-tutorials","name":"Transformers-Tutorials","repo":"NielsRogge/Transformers-Tutorials","githubUrl":"https://github.com/NielsRogge/Transformers-Tutorials","homepage":null,"pageUrl":"/repo/transformers-tutorials","category":"Learning resources","tagline":"A large set of example notebooks showing how to use Hugging Face's Transformers library for many AI tasks.","whatItDoes":["This repository is a collection of hands-on demos for Transformers, a popular code library from Hugging Face for using AI models. Each demo is a notebook, a document that mixes explanations with code you can run step by step.","The demos cover a wide range of tasks: sorting images into categories, spotting objects in photos, estimating depth, reading scanned documents, classifying sounds, and adapting language models like BERT to your own data.","Most notebooks can be opened in Google Colab, a free online notebook service, so you can try them without installing anything. The README points complete beginners to Hugging Face's free course first."],"whoFor":"Students and developers learning to use modern AI models in code.","useWithoutCoding":"Developers only","keywords":["hugging face","tutorials","notebooks","image recognition","learn ai"],"rating":2,"tags":["New this week"],"owner":{"name":"NielsRogge","githubUrl":"https://github.com/NielsRogge"},"license":"MIT","stars":11763,"contributors":8,"monthlyDownloads":null,"lastPushedAt":"2026-09-17T08:10:06Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Pick a model or task from the list in the README.","Open its notebook in Google Colab and run the steps in order."],"officialDownload":null},{"slug":"trae-agent","name":"Trae Agent","repo":"bytedance/trae-agent","githubUrl":"https://github.com/bytedance/trae-agent","homepage":"https://www.trae.ai/","pageUrl":"/repo/trae-agent","category":"Coding assistants","tagline":"A command-line AI agent from ByteDance that carries out programming tasks from plain-English instructions.","whatItDoes":["Trae Agent is an AI assistant for software work that runs in a terminal (a text-based window for typing commands). You describe a task, such as fixing a bug or adding tests, and it edits files and runs commands to get it done.","It works with many AI providers, including OpenAI, Anthropic, Google Gemini, OpenRouter, Doubao and Azure, as well as local models through Ollama. It can also work inside Docker containers (sealed-off software environments).","Its makers say it is built to be easy to study and change, which makes it useful for research on AI agents. It records every step it takes so you can review what happened. The README says it is still being actively developed."],"whoFor":"Programmers and researchers who want an open, adjustable AI coding agent.","useWithoutCoding":"Developers only","keywords":["ai coding agent","fix bugs","terminal","software engineering","bytedance"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"Bytedance Inc.","githubUrl":"https://github.com/bytedance"},"license":"MIT","stars":12146,"contributors":52,"monthlyDownloads":null,"lastPushedAt":"2026-02-05T11:21:00Z","sources":[{"site":"Research paper","title":"Trae Agent: An LLM-based Agent for Software Engineering with Test-time Scaling","url":"https://arxiv.org/abs/2507.23370","date":"2025-07-01"},{"site":"Hacker News","title":"Trae: An AI-powered IDE by ByteDance","url":"https://news.ycombinator.com/item?id=42799540","date":"2025-01-23"},{"site":"Hacker News","title":"Trae: AI Code Editor from ByteDance","url":"https://news.ycombinator.com/item?id=42811502","date":"2025-01-24"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Install the uv Python tool, then download the project and set it up as the README describes.","Copy the example settings file and add the API key for your chosen AI provider.","Give it a task in plain English from your terminal."],"officialDownload":null},{"slug":"awesome-claude-prompts","name":"Awesome Claude Prompts","repo":"langgptai/awesome-claude-prompts","githubUrl":"https://github.com/langgptai/awesome-claude-prompts","homepage":null,"pageUrl":"/repo/awesome-claude-prompts","category":"Learning resources","tagline":"A collection of example prompts for getting better results from Anthropic's Claude.","whatItDoes":["This list collects prompts to use with Claude, the AI assistant from Anthropic. Examples cover coding, summarising documents, writing, role-play, tutoring, analysis and more.","It also links to Anthropic's official prompt guides and tutorials, and to newer topics like Claude Skills and Claude Code memory files.","Some prompts were written for older versions of Claude, so results may differ today."],"whoFor":"Claude users who want ideas and templates for writing better prompts.","useWithoutCoding":"Yes","keywords":["claude prompts","prompt examples","anthropic","prompt engineering"],"rating":2,"tags":["New this week"],"owner":{"name":"LangGPT.ai","githubUrl":"https://github.com/langgptai"},"license":null,"stars":5532,"contributors":12,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T23:15:53Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the list on GitHub and pick a prompt that fits your task.","Paste it into Claude and adjust it to your needs."],"officialDownload":null},{"slug":"oneflow","name":"OneFlow","repo":"Oneflow-Inc/oneflow","githubUrl":"https://github.com/Oneflow-Inc/oneflow","homepage":"http://www.oneflow.org/","pageUrl":"/repo/oneflow","category":"Training & fine-tuning","tagline":"A deep learning framework, similar to PyTorch, for building and training AI models across many machines.","whatItDoes":["OneFlow is a deep learning framework: the core software used to build and train AI models. Its makers designed it to be easy to use, scalable and efficient.","Programmers write models with commands that look like PyTorch, a widely used framework. OneFlow can then spread a model across many graphics cards and machines, and speed it up with a built-in compiler.","It runs on Linux and works best with NVIDIA graphics cards, though a CPU-only version is available."],"whoFor":"AI researchers and engineers who train large models across many graphics cards.","useWithoutCoding":"Developers only","keywords":["deep learning","framework","distributed training","pytorch alternative","gpu"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"OneFlow","githubUrl":"https://github.com/Oneflow-Inc"},"license":"Apache-2.0","stars":9436,"contributors":173,"monthlyDownloads":1129,"lastPushedAt":"2025-12-04T01:29:28Z","sources":[{"site":"Research paper","title":"OneFlow: Redesign the Distributed Deep Learning Framework from Scratch","url":"https://arxiv.org/abs/2110.15032","date":"2021-10-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"frontieragent","name":"FrontierAgent","repo":"ApodexAI/FrontierAgent","githubUrl":"https://github.com/ApodexAI/FrontierAgent","homepage":"https://www.apodex.ai/","pageUrl":"/repo/frontieragent","category":"AI agents","tagline":"A terminal-based AI agent that researches, works with files and can split big tasks among helper agents.","whatItDoes":["FrontierAgent is an AI agent you run in a terminal for long research and file-based tasks. In one mode, a single agent researches, reads files, writes results and runs commands inside a safe sandbox.","In \"Agent Team\" mode, a coordinator breaks the job into parts, hands them to helper agents running in parallel, and combines their reports. A live task board shows progress, and changes need your approval unless you turn that off.","It works with any OpenAI-compatible AI service, or with models you host yourself on a Linux computer with an NVIDIA graphics card. It also includes tools for testing how well agents perform."],"whoFor":"Developers and researchers who want an open agent for long, multi-step research and file work.","useWithoutCoding":"Developers only","keywords":["ai agent","research agent","multi-agent","terminal","agent team"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"Apodex","githubUrl":"https://github.com/ApodexAI"},"license":"Apache-2.0","stars":5328,"contributors":21,"monthlyDownloads":null,"lastPushedAt":"2026-10-19T01:00:45Z","sources":[{"site":"Research paper","title":"Apodex tech report","url":"https://arxiv.org/abs/2608.23283","date":"2026-08-01"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"obsidian-smart-connections","name":"Smart Connections","repo":"brianpetro/obsidian-smart-connections","githubUrl":"https://github.com/brianpetro/obsidian-smart-connections","homepage":"https://smartconnections.app/","pageUrl":"/repo/obsidian-smart-connections","category":"Documents & knowledge","tagline":"Finds related notes while you write in Obsidian, working privately on your device.","whatItDoes":["Smart Connections is an Obsidian plug-in that surfaces notes related to whatever you are working on, to help you link and rediscover your ideas.","It uses a local model to understand your notes by meaning, so it works privately on your own device with no account or key needed.","An optional paid version adds extra features, such as suggestions inline while you write."],"whoFor":"Obsidian users with many notes who want help finding and connecting related ideas.","useWithoutCoding":"Yes","keywords":["obsidian","notes","semantic search","related notes","second brain"],"rating":2,"tags":["New this week"],"owner":{"name":"🌴 Brian","githubUrl":"https://github.com/brianpetro"},"license":"NOASSERTION","stars":5511,"contributors":8,"monthlyDownloads":null,"lastPushedAt":"2026-10-10T16:59:04Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Mac","Windows","Linux","Phone"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["In Obsidian, install Smart Connections from the community plug-ins.","Enable it and let it scan your notes.","Open the Connections view to see related notes."],"officialDownload":null},{"slug":"edit-banana","name":"Edit Banana","repo":"BIT-DataLab/Edit-Banana","githubUrl":"https://github.com/BIT-DataLab/Edit-Banana","homepage":"https://www.editbanana.net/","pageUrl":"/repo/edit-banana","category":"Images & video","tagline":"Turns a picture of a diagram or chart into an editable diagram file you can change.","whatItDoes":["Edit Banana takes a flat image, such as a screenshot of a flowchart or figure, and rebuilds it as an editable diagram in DrawIO format. Its makers say it keeps the original layout, shapes and connections.","It uses SAM 3, an AI model that finds objects in images, together with text recognition (OCR) and multimodal AI models. There is an online version, and the README notes the online service has newer features than the code on GitHub.","Running it yourself needs Python and, ideally, an NVIDIA graphics card."],"whoFor":"Researchers, students and office workers who need to edit diagrams they only have as images.","useWithoutCoding":"Yes","keywords":["diagram","flowchart","image to editable","drawio","figure"],"rating":2,"tags":["New this week"],"owner":{"name":"BIT-DataLab","githubUrl":"https://github.com/BIT-DataLab"},"license":"AGPL-3.0","stars":5498,"contributors":5,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T05:24:45Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Web browser","Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Open the online version linked from the project page.","Upload an image of a diagram and download the editable DrawIO file."],"officialDownload":null},{"slug":"wigolo","name":"wigolo","repo":"KnockOutEZ/wigolo","githubUrl":"https://github.com/KnockOutEZ/wigolo","homepage":"https://wigolo.app/","pageUrl":"/repo/wigolo","category":"Add-ons for AI coding tools","tagline":"Gives AI coding assistants web search, page reading and research that run on your own computer.","whatItDoes":["wigolo gives AI agents one set of web tools: search, fetch pages, crawl sites, pull out information and run research. It plugs into tools like Claude Code, Cursor and Codex through MCP, a standard way to give AI new tools.","Its makers say the core tools need no API keys, keep everything on your computer, and cost nothing per search. Setup downloads a browser engine and on-device models.","The README describes it as a public beta."],"whoFor":"Developers who want their AI coding assistant to use the web without paid search services.","useWithoutCoding":"Developers only","keywords":["web search for ai","mcp server","claude code","research tool","local-first"],"rating":2,"tags":["New this week"],"owner":{"name":"Towhid Khan","githubUrl":"https://github.com/KnockOutEZ"},"license":"NOASSERTION","stars":5486,"contributors":11,"monthlyDownloads":null,"lastPushedAt":"2026-10-18T09:33:03Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install Node.js on your computer.","Run wigolo's setup and choose which AI coding tools to connect.","Ask your AI assistant to search or research something."],"officialDownload":null},{"slug":"holaos","name":"HolaOS","repo":"holaboss-ai/holaOS","githubUrl":"https://github.com/holaboss-ai/holaOS","homepage":"https://holaos.ai/","pageUrl":"/repo/holaos","category":"AI agents","tagline":"A workspace where AI agents work beside your apps, chats and files, run on your own machines.","whatItDoes":["HolaOS is a workspace for AI agents. You connect the tools you already use, such as email, Notion, Slack or GitHub, and add apps, skills and integrations. Apps open right beside the agent, so you can watch it work and step in.","You can run its own agent or others such as Claude Code and Codex, and they share the same memory and tools. Models are built in with an account, or you can bring your own keys from AI providers.","Its makers say it is local-first: files, memory and history stay on your own disk, and the agent asks before acting. There is a desktop app, an open-source self-hosted version and an enterprise version."],"whoFor":"Teams and companies that want a customisable AI agent workspace connected to their existing tools.","useWithoutCoding":"With some setup","keywords":["ai workspace","ai agent","connect apps","local first","team assistant"],"rating":2,"tags":["New this week"],"owner":{"name":"holaboss.ai","githubUrl":"https://github.com/holaboss-ai"},"license":"NOASSERTION","stars":11455,"contributors":7,"monthlyDownloads":null,"lastPushedAt":"2026-08-21T13:11:13Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Get the desktop app, or install the open-source version using the setup script described in the README.","Connect the tools and chat apps you want the agent to use.","Choose a built-in model or add your own AI provider key."],"officialDownload":null},{"slug":"narratoai","name":"NarratoAI","repo":"linyqh/NarratoAI","githubUrl":"https://github.com/linyqh/NarratoAI","homepage":"https://www.narratoai.cn/","pageUrl":"/repo/narratoai","category":"Images & video","tagline":"Uses AI to write commentary for film and TV clips, then edits, voices and subtitles the video.","whatItDoes":["NarratoAI makes commentary-style videos. AI language models write the narration, and the tool cuts the video, adds a voice-over and creates subtitles in one flow.","It supports several AI services and text-to-speech voices, and can export drafts to the CapCut/JianYing editor. The README is mainly in Chinese, and a hosted cloud version is also offered."],"whoFor":"Video creators who make commentary or recap videos.","useWithoutCoding":"With some setup","keywords":["video commentary","auto edit video","voice over","subtitles"],"rating":2,"tags":["New this week"],"owner":{"name":"viccy","githubUrl":"https://github.com/linyqh"},"license":"MIT","stars":11450,"contributors":15,"monthlyDownloads":null,"lastPushedAt":"2026-09-17T06:26:41Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Windows","Mac"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Download the bundle for Windows or Apple Silicon Mac from the download page linked in the README and unzip it.","Double-click the update script, then the start script.","Open the app in your browser and add your AI service keys in settings."],"officialDownload":null},{"slug":"potpie","name":"Potpie","repo":"potpie-ai/potpie","githubUrl":"https://github.com/potpie-ai/potpie","homepage":"https://potpie.ai/","pageUrl":"/repo/potpie","category":"Add-ons for AI coding tools","tagline":"Builds a living map of your codebase so AI agents understand your project.","whatItDoes":["Potpie turns your codebase and development history into a connected map, called a context graph, that AI coding agents can use.","It indexes your code, its structure, decisions and team knowledge, so an agent can answer questions, plan changes, debug failures and write code with project-specific context.","A setup wizard connects it to your coding assistant, and you can view the map in a web interface."],"whoFor":"Development teams who want their AI coding tools to deeply understand their projects.","useWithoutCoding":"With some setup","keywords":["codebase","context graph","ai coding","knowledge graph","developer tool"],"rating":2,"tags":["New this week"],"owner":{"name":"potpie.ai","githubUrl":"https://github.com/potpie-ai"},"license":"Apache-2.0","stars":5742,"contributors":45,"monthlyDownloads":137,"lastPushedAt":"2026-10-16T13:27:26Z","sources":[{"site":"Hacker News","title":"Show HN: AI Agents for engineering use cases like debugging, LLD,testing etc.","url":"https://news.ycombinator.com/item?id=42041368","date":"2024-11-04"},{"site":"Hacker News","title":"How to write good prompts for generating code from LLMs","url":"https://news.ycombinator.com/item?id=43568752","date":"2025-04-03"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"ai-youtube-shorts-generator","name":"AI YouTube Shorts Generator","repo":"Anil-matcha/AI-Youtube-Shorts-Generator","githubUrl":"https://github.com/Anil-matcha/AI-Youtube-Shorts-Generator","homepage":"https://www.vadoo.tv/ai-youtube-shorts-generator","pageUrl":"/repo/ai-youtube-shorts-generator","category":"Images & video","tagline":"Cuts long YouTube videos into short vertical clips, using AI to pick the most engaging moments.","whatItDoes":["This tool takes a long YouTube video and turns it into short vertical clips for TikTok, Reels or YouTube Shorts.","It writes out the speech with Whisper, an AI that turns speech into text, then uses a language model to find highlights. Each clip gets a score, an opening hook and a short reason it was chosen. It then crops the video to a vertical shape, following faces.","By default it uses the paid MuAPI service; a local mode does most work on your computer but still uses OpenAI or Gemini for picking highlights."],"whoFor":"Video creators and agencies who want to make short clips from long videos.","useWithoutCoding":"Developers only","keywords":["youtube shorts","video clips","tiktok","reels","video editing"],"rating":2,"tags":["New this week"],"owner":{"name":"Anil Chandra Naidu Matcha","githubUrl":"https://github.com/Anil-matcha"},"license":"MIT","stars":5468,"contributors":3,"monthlyDownloads":null,"lastPushedAt":"2026-10-11T11:19:33Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Install Python and download the project.","Get a MuAPI key, or for local mode an OpenAI or Gemini key plus the free video tool the README lists.","Run the tool with a YouTube link to get your clips."],"officialDownload":null},{"slug":"inkos","name":"InkOS","repo":"Narcooo/inkos","githubUrl":"https://github.com/Narcooo/inkos","homepage":null,"pageUrl":"/repo/inkos","category":"AI agents","tagline":"An AI writing assistant that helps plan, write, review and revise novels, scripts and interactive stories.","whatItDoes":["InkOS is an AI agent system for creative writing. It can help with long serialized novels, short stories, scripts, storyboards, interactive story games and long translations, all from one workspace.","It keeps track of world-building, characters, plot threads and past chapters so long works stay consistent. It can suggest several possible story branches before you write the next chapter, run reviews and make revisions while keeping earlier drafts.","You connect it to an AI model provider of your choice, including local models through LM Studio. It works through a browser workspace, a text-based terminal screen or commands, and its main README is in Chinese with an English version available."],"whoFor":"Novelists, scriptwriters and storytellers who want AI help with long creative projects.","useWithoutCoding":"With some setup","keywords":["write a novel","story writing","ai writer","scriptwriting","fiction"],"rating":2,"tags":["New this week"],"owner":{"name":"Junxian Ma","githubUrl":"https://github.com/Narcooo"},"license":"AGPL-3.0","stars":10379,"contributors":9,"monthlyDownloads":3051,"lastPushedAt":"2026-10-18T17:57:01Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Install Node.js, then install InkOS with its package manager.","Create a new writing project and open the Studio workspace in your browser.","Choose your AI model provider in the settings and start a new book or story."],"officialDownload":null},{"slug":"hunyuan3d-2","name":"Hunyuan3D 2.0","repo":"Tencent-Hunyuan/Hunyuan3D-2","githubUrl":"https://github.com/Tencent-Hunyuan/Hunyuan3D-2","homepage":"https://3d.hunyuan.tencent.com/","pageUrl":"/repo/hunyuan3d-2","category":"3D & design","tagline":"AI models from Tencent that create detailed, textured 3D objects from a picture or a description.","whatItDoes":["Hunyuan3D 2.0 generates 3D models. One part builds the object's shape and another paints realistic surface textures. You can start from an image or text.","You can try it on Tencent's website or a Hugging Face demo. There's a Blender add-on, and community members have made a Windows installer and ComfyUI support."],"whoFor":"Game makers, 3D artists and designers, plus AI researchers.","useWithoutCoding":"With some setup","keywords":["3d model","image to 3d","text to 3d","game assets","blender"],"rating":2,"tags":["Research-backed"],"owner":{"name":"Tencent-Hunyuan","githubUrl":"https://github.com/Tencent-Hunyuan"},"license":"NOASSERTION","stars":15155,"contributors":37,"monthlyDownloads":null,"lastPushedAt":"2025-10-28T09:58:12Z","sources":[{"site":"Research paper","title":"Hunyuan3D 2.0 paper","url":"https://arxiv.org/abs/2501.12202","date":"2025-01-01"},{"site":"Research paper","title":"Hunyuan3D 2.5 system technical report","url":"https://arxiv.org/abs/2506.16504","date":"2025-06-23"},{"site":"Hacker News","title":"Hunyuan3D 2.0 – High-Resolution 3D Assets Generation","url":"https://news.ycombinator.com/item?id=42786040","date":"2025-01-21"},{"site":"Hacker News","title":"Hunyuan3D-2-Turbo: fast high-quality shape generation in ~1s on a 4090","url":"https://news.ycombinator.com/item?id=43419237","date":"2025-03-20"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Try it in your browser on the official Hunyuan3D website or the Hugging Face demo.","To run it yourself, you need a graphics card with about 6 GB of memory, or 16 GB for textures."],"officialDownload":null},{"slug":"reasoning-from-scratch","name":"Build A Reasoning Model (From Scratch)","repo":"rasbt/reasoning-from-scratch","githubUrl":"https://github.com/rasbt/reasoning-from-scratch","homepage":"https://mng.bz/lZ5B","pageUrl":"/repo/reasoning-from-scratch","category":"Learning resources","tagline":"Code for a book that teaches how AI \"reasoning\" models work by building a small one yourself.","whatItDoes":["This is the official code for Sebastian Raschka's book Build a Reasoning Model (From Scratch). Reasoning models are AI language models that work through a problem step by step before answering.","Chapter by chapter, you start from an existing open model (Qwen3) and add reasoning skills yourself: checking answers, spending more effort at answer time, training with reinforcement learning, and distillation (teaching a small model from a bigger one).","The README says the main chapters are designed to run on ordinary consumer computers. The book itself is sold separately."],"whoFor":"Programmers and students who want to understand how modern reasoning AI works by coding it.","useWithoutCoding":"Developers only","keywords":["learn ai","reasoning model","llm book","pytorch","tutorial"],"rating":2,"tags":["New this week"],"owner":{"name":"Sebastian Raschka","githubUrl":"https://github.com/rasbt"},"license":"Apache-2.0","stars":5426,"contributors":6,"monthlyDownloads":null,"lastPushedAt":"2026-10-02T15:08:46Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Download the code as a ZIP file from the project page.","Follow chapter 2 to set up Python, then open each chapter's notebook as you read the book."],"officialDownload":null},{"slug":"vibesdk","name":"Cloudflare VibeSDK","repo":"cloudflare/vibesdk","githubUrl":"https://github.com/cloudflare/vibesdk","homepage":"https://build.cloudflare.dev/","pageUrl":"/repo/vibesdk","category":"App builders & workflows","tagline":"An open-source platform where people build web apps by describing them to an AI agent.","whatItDoes":["VibeSDK lets people create full web apps by talking to an AI coding agent. You describe what you want and answer its questions, then watch as it plans, writes files, shows live previews, finds errors and fixes them.","It is built entirely on Cloudflare's services, and organisations can deploy their own copy. It keeps version history so you can roll back, and you can export projects. There is a hosted version to try."],"whoFor":"Companies and developers who want to run their own AI app-building platform; others can try the hosted demo.","useWithoutCoding":"Developers only","keywords":["vibe coding","ai app builder","text to app","cloudflare","build website with ai"],"rating":2,"tags":["New this week"],"owner":{"name":"Cloudflare","githubUrl":"https://github.com/cloudflare"},"license":"MIT","stars":5412,"contributors":18,"monthlyDownloads":null,"lastPushedAt":"2026-09-22T10:49:08Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Cloud","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"ai-agents-from-zero","name":"AI Agents from Zero","repo":"didilili/ai-agents-from-zero","githubUrl":"https://github.com/didilili/ai-agents-from-zero","homepage":"https://didilili.github.io/ai-agents-from-zero/","pageUrl":"/repo/ai-agents-from-zero","category":"Learning resources","tagline":"A free tutorial series on building AI agents, from basics to real projects.","whatItDoes":["AI Agents from Zero is a free, open learning path for building AI agents and language-model apps, written in Chinese and kept up to date.","It covers core ideas like prompts, tools, retrieval and agent design, then moves into frameworks, example projects and an interview question bank.","The tutorials come with runnable example code and links to separate project repositories."],"whoFor":"People learning to build AI agents and language-model applications, including job seekers.","useWithoutCoding":"Developers only","keywords":["ai agents","tutorial","learn","langchain","rag"],"rating":2,"tags":["New this week"],"owner":{"name":"迪迪粒粒","githubUrl":"https://github.com/didilili"},"license":"MIT","stars":5406,"contributors":2,"monthlyDownloads":null,"lastPushedAt":"2026-10-14T10:20:22Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"cc-wf-studio","name":"CC Workflow Studio","repo":"breaking-brake/cc-wf-studio","githubUrl":"https://github.com/breaking-brake/cc-wf-studio","homepage":"https://open-vsx.org/extension/breaking-brake/cc-wf-studio","pageUrl":"/repo/cc-wf-studio","category":"Add-ons for AI coding tools","tagline":"Design AI agent workflows by dragging boxes on a canvas, then export them for Claude Code and other tools.","whatItDoes":["CC Workflow Studio is a Visual Studio Code extension with a drag-and-drop canvas for planning how AI agents should work: which helper agents to use, which skills and tools, and in what order.","It exports the design as text files that AI coding tools such as Claude Code, GitHub Copilot, Codex, Gemini CLI and Cursor already understand. You can also ask an AI to edit the workflow in plain language, and run it from the editor.","The same workflow file can also be used through a command-line tool or an MCP server (a common way to connect tools to AI assistants)."],"whoFor":"Developers who use AI coding assistants and want to plan multi-step agent workflows visually.","useWithoutCoding":"With some setup","keywords":["workflow editor","claude code","vscode extension","ai agents","visual workflow"],"rating":2,"tags":["New this week"],"owner":{"name":"breaking-brake","githubUrl":"https://github.com/breaking-brake"},"license":"NOASSERTION","stars":5401,"contributors":6,"monthlyDownloads":null,"lastPushedAt":"2026-10-07T00:11:01Z","sources":[{"site":"Hacker News","title":"OpenVSX, which VSCode forks rely on for extensions, down for 24 hours","url":"https://news.ycombinator.com/item?id=43785039","date":"2025-04-24"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Install the CC Workflow Studio extension in Visual Studio Code.","Open its canvas and drag in agents, skills and tools to design a workflow.","Export the workflow for your AI coding tool, or run it from the editor."],"officialDownload":null},{"slug":"easy-dataset","name":"Easy Dataset","repo":"ConardLi/easy-dataset","githubUrl":"https://github.com/ConardLi/easy-dataset","homepage":"https://docs.easy-dataset.com/","pageUrl":"/repo/easy-dataset","category":"Training & fine-tuning","tagline":"Turns your documents into question-and-answer data for training and testing AI models.","whatItDoes":["To fine-tune an AI model, meaning teach it a specialised subject, you need many example questions and answers. Easy Dataset creates these from your own documents. It reads files like PDFs, Word documents, Markdown and e-books, splits them into pieces, and uses an AI model to write questions and answers about each piece.","It can make single questions, multi-turn conversations and image-based questions, and can clean and tag the data. Newer versions also build test sets and score how well models answer, including a blind side-by-side comparison of two models.","Results can be exported in common training formats or uploaded to Hugging Face. It works with many AI providers, including local models through Ollama."],"whoFor":"People preparing data to fine-tune or test AI models, from researchers to companies with in-house documents.","useWithoutCoding":"Yes","keywords":["training data","fine-tuning","dataset","documents","q&a"],"rating":2,"tags":["Research-backed"],"owner":{"name":"ConardLi","githubUrl":"https://github.com/ConardLi"},"license":"NOASSERTION","stars":15012,"contributors":37,"monthlyDownloads":null,"lastPushedAt":"2026-05-01T15:03:32Z","sources":[{"site":"Research paper","title":"Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents","url":"https://arxiv.org/abs/2507.04009","date":"2025-07-01"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Windows","Mac","Linux","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the desktop app for Windows, Mac or Linux from the releases page.","Add an AI model, either an online provider or a local Ollama model.","Upload your documents and let it generate questions and answers."],"officialDownload":"https://github.com/ConardLi/easy-dataset/releases/latest"},{"slug":"pastemd","name":"PasteMD","repo":"RICHQAQ/PasteMD","githubUrl":"https://github.com/RICHQAQ/PasteMD","homepage":"https://pastemd.richqaq.cn/","pageUrl":"/repo/pastemd","category":"Everyday tools","tagline":"Pastes AI chat answers and Markdown into Word, WPS or Excel with formatting and formulas intact.","whatItDoes":["When you copy an answer from ChatGPT, DeepSeek or other AI chat sites into Word, formulas and tables often break. PasteMD fixes that with one shortcut key.","It sits in your system tray, reads what you copied, converts it and inserts it at your cursor in Word or WPS. Markdown tables can be pasted straight into Excel.","The README includes a table showing how well copying works from popular AI chat sites."],"whoFor":"Students, writers and office workers who move AI answers into documents.","useWithoutCoding":"Yes","keywords":["paste into word","markdown to word","chatgpt to word","formulas","excel tables"],"rating":2,"tags":["New this week"],"owner":{"name":"RICHQAQ","githubUrl":"https://github.com/RICHQAQ"},"license":"AGPL-3.0","stars":5387,"contributors":11,"monthlyDownloads":null,"lastPushedAt":"2026-10-10T10:13:05Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Mac"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Download the all-in-one installer from the project's releases page.","Copy an AI answer, place your cursor in Word or WPS, and press the shortcut key."],"officialDownload":"https://github.com/RICHQAQ/PasteMD/releases/"},{"slug":"obsidian-mind","name":"Obsidian Mind","repo":"breferrari/obsidian-mind","githubUrl":"https://github.com/breferrari/obsidian-mind","homepage":null,"pageUrl":"/repo/obsidian-mind","category":"Add-ons for AI coding tools","tagline":"An Obsidian notes vault set up so AI agents remember your work, people and decisions between sessions.","whatItDoes":["Obsidian Mind is a ready-made vault (a folder of notes) for Obsidian, a note-taking app. It is built so AI agents such as Claude Code can keep a lasting memory of your goals, projects, people and decisions.","You talk to the agent about your day, and it writes and links notes, updates indexes and keeps a record of your wins. Commands cover things like a morning stand-up, a brain dump after a meeting and an end-of-day wrap-up.","It works fully with Claude Code, and the README says it also works with Codex CLI and Gemini CLI."],"whoFor":"Professionals who use AI agents and Obsidian and want the agent to remember context over time.","useWithoutCoding":"With some setup","keywords":["obsidian","ai memory","notes","claude code","second brain"],"rating":2,"tags":["New this week"],"owner":{"name":"Brenno Ferrari","githubUrl":"https://github.com/breferrari"},"license":"MIT","stars":5380,"contributors":13,"monthlyDownloads":null,"lastPushedAt":"2026-10-17T23:34:40Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Install Obsidian and an AI agent such as Claude Code.","Create a new folder and install the vault into it with the recommended installer.","Open the folder with your agent and start a session by talking about your day."],"officialDownload":null},{"slug":"feynman","name":"Feynman","repo":"Companion-Inc/feynman","githubUrl":"https://github.com/Companion-Inc/feynman","homepage":"https://feynman.is/","pageUrl":"/repo/feynman","category":"AI agents","tagline":"An AI research assistant that searches scientific papers and writes cited reviews and summaries.","whatItDoes":["Feynman is an AI research agent you use from the terminal. You ask it a question and it searches sources such as arXiv, PubMed and Semantic Scholar, plus the web and your own PDFs.","It has ready-made jobs such as literature reviews, deep research with citation checks, paper critiques, comparing sources and summarising a paper. Results are saved as files, some with a list of the sources used.","You connect it to an AI model provider of your choice; the README also mentions local models. It sends anonymous usage data, which its makers say excludes your prompts and results, and this can be turned off."],"whoFor":"Researchers, students and anyone who needs to review scientific literature.","useWithoutCoding":"With some setup","keywords":["research assistant","literature review","scientific papers","summarize papers"],"rating":2,"tags":["New this week"],"owner":{"name":"Companion","githubUrl":"https://github.com/Companion-Inc"},"license":"MIT","stars":9988,"contributors":16,"monthlyDownloads":104489,"lastPushedAt":"2026-10-18T13:56:41Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Feynman using the one-line installer for your system from the README.","Run its setup step to sign in to an AI model provider.","Type a research question and Feynman saves its findings as files."],"officialDownload":null},{"slug":"aigc-interview-book","name":"AIGC-Interview-Book","repo":"WeThinkIn/AIGC-Interview-Book","githubUrl":"https://github.com/WeThinkIn/AIGC-Interview-Book","homepage":"https://wethinkin.github.io/AIGC-Interview-Book/","pageUrl":"/repo/aigc-interview-book","category":"Learning resources","tagline":"A large Chinese-language guide to AI job interviews, covering language models, agents and deep learning.","whatItDoes":["This is a Chinese-language study and career platform for people seeking AI jobs. It gathers interview questions, core knowledge and experience for roles in generative AI, large language models, AI agents and other AI fields.","Sections cover image and video generation, language model basics, agents, deep learning, machine learning, maths, programming, algorithms and career advice, plus questions said to come from big tech interviews.","Its makers say it can also serve as a reference for university teaching and study."],"whoFor":"Chinese-speaking students and engineers preparing for AI job interviews.","useWithoutCoding":"Yes","keywords":["ai interview","job preparation","llm questions","learn ai","career"],"rating":2,"tags":["New this week"],"owner":{"name":"Rocky Ding","githubUrl":"https://github.com/WeThinkIn"},"license":"GPL-3.0","stars":5000,"contributors":22,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T16:07:03Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the project's online site or GitHub page.","Pick a topic from the table of contents and start reading."],"officialDownload":null},{"slug":"lms","name":"lms (LM Studio CLI)","repo":"lmstudio-ai/lms","githubUrl":"https://github.com/lmstudio-ai/lms","homepage":"https://lms.dev/","pageUrl":"/repo/lms","category":"Run AI on your computer","tagline":"A command-line tool for LM Studio that loads local AI models and starts its local server.","whatItDoes":["lms comes with LM Studio, an app for running AI models on your own computer. It lets you load and unload models, list downloads and start a local API server from the terminal.","It is mainly useful for scripting and automation."],"whoFor":"LM Studio users who prefer the terminal or want to automate it.","useWithoutCoding":"With some setup","keywords":["lm studio","local ai","offline models","command line"],"rating":2,"tags":["New this week"],"owner":{"name":"LM Studio","githubUrl":"https://github.com/lmstudio-ai"},"license":"MIT","stars":5357,"contributors":13,"monthlyDownloads":null,"lastPushedAt":"2026-10-14T20:50:03Z","sources":[{"site":"Hacker News","title":"lms: LM Studio CLI","url":"https://news.ycombinator.com/item?id=40336919","date":"2024-05-12"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Open a new terminal window and run lms to see its options."],"officialDownload":null},{"slug":"tensorboardx","name":"tensorboardX","repo":"lanpa/tensorboardX","githubUrl":"https://github.com/lanpa/tensorboardX","homepage":"https://tensorboardx.readthedocs.io/en/latest/tensorboard.html","pageUrl":"/repo/tensorboardx","category":"Training & fine-tuning","tagline":"Lets programmers log charts, images and sounds from AI training so they can watch progress in TensorBoard.","whatItDoes":["When you train an AI model, it helps to watch numbers like accuracy change over time. TensorBoard is a popular dashboard for this, and tensorboardX makes it easy to send data to it from PyTorch and other tools.","With simple function calls you can record numbers, images, charts, audio, text, model diagrams and more.","You then open TensorBoard to see everything as interactive graphs."],"whoFor":"Machine learning developers and researchers who want to track their training runs.","useWithoutCoding":"Developers only","keywords":["training dashboard","tensorboard","pytorch","experiment tracking"],"rating":2,"tags":["New this week"],"owner":{"name":"Tzu-Wei Huang","githubUrl":"https://github.com/lanpa"},"license":"MIT","stars":8002,"contributors":86,"monthlyDownloads":null,"lastPushedAt":"2026-07-14T16:48:08Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"cadam","name":"CADAM","repo":"Adam-CAD/CADAM","githubUrl":"https://github.com/Adam-CAD/CADAM","homepage":"https://adam.new/cadam","pageUrl":"/repo/cadam","category":"3D & design","tagline":"Describe a part or object in plain English and get an adjustable 3D model you can export and 3D-print.","whatItDoes":["CADAM is a web app that turns text descriptions, and optionally reference images, into 3D CAD models: the kind of precise designs used for engineering and 3D printing.","It finds the important measurements in the design and gives you sliders to change them instantly, without asking the AI again. You can export the result as STL, SCAD or DXF files.","There is a live version to try in the browser with nothing to install. Running your own copy needs keys for several AI services."],"whoFor":"Makers, 3D-printing hobbyists and engineers who want a quick way to create custom parts.","useWithoutCoding":"Yes","keywords":["text to cad","3d model","3d printing","stl","design"],"rating":2,"tags":["New this week"],"owner":{"name":"Adam ","githubUrl":"https://github.com/Adam-CAD"},"license":"GPL-3.0","stars":5293,"contributors":10,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T05:26:14Z","sources":[{"site":"Hacker News","title":"Launch HN: Adam (YC W25) – Open-Source AI CAD","url":"https://news.ycombinator.com/item?id=48572553","date":"2026-06-17"},{"site":"Hacker News","title":"Show HN: Open-sourcing our text-to-CAD app","url":"https://news.ycombinator.com/item?id=45140921","date":"2025-09-05"}],"checkedByPerson":false,"cost":null,"runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Open the live version of CADAM in your web browser.","Describe the part you want in plain words, then adjust its size with the sliders.","Export the model as an STL file for 3D printing."],"officialDownload":null},{"slug":"deepseek-balance-whale-widget","name":"DSH Whale Widget (DeepSeek Balance Whale Widget)","repo":"MeteorNOX/DeepSeek-Balance-Whale-Widget","githubUrl":"https://github.com/MeteorNOX/DeepSeek-Balance-Whale-Widget","homepage":null,"pageUrl":"/repo/deepseek-balance-whale-widget","category":"Add-ons for AI coding tools","tagline":"A cute whale widget for DeepSeek Harness that shows your DeepSeek balance and daily spending.","whatItDoes":["This is a plugin for DeepSeek Harness (DSH), an app for using DeepSeek's AI. A small whale sits in the corner of the screen and shows your DeepSeek account balance, how much you have spent today and how much each conversation cost.","The balance refreshes automatically, and you can fully customise the whale's speech bubbles with your own text and pictures.","It works in the DSH web interface and desktop app. A separate version for the Codex desktop app has moved to its own project. The README is written in Chinese."],"whoFor":"DeepSeek Harness users who want to keep an eye on their AI spending.","useWithoutCoding":"With some setup","keywords":["deepseek","api balance","usage tracker","spending widget"],"rating":2,"tags":["New this week"],"owner":{"name":"Meteor","githubUrl":"https://github.com/MeteorNOX"},"license":"MIT","stars":5276,"contributors":9,"monthlyDownloads":null,"lastPushedAt":"2026-10-11T12:25:55Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Set up DeepSeek Harness (DSH) with your DeepSeek account or API key.","Install the whale widget as a DSH plugin, following the README's instructions."],"officialDownload":null},{"slug":"agentguide","name":"AgentGuide","repo":"adongwanai/AgentGuide","githubUrl":"https://github.com/adongwanai/AgentGuide","homepage":null,"pageUrl":"/repo/agentguide","category":"Learning resources","tagline":"A Chinese-language study guide for learning to build AI agents and preparing for AI job interviews.","whatItDoes":["AgentGuide is a free study guide, written in Chinese, about building AI agents: AI systems that use tools and carry out multi-step tasks. It gathers good existing courses, tutorials and papers and arranges them into a learning path.","It covers agent design, memory, tools, RAG (letting AI look things up in documents), testing and safety, and training methods. Separate routes are offered for engineering jobs and for research or algorithm jobs.","A large part is aimed at job seekers, with notes on what interviewers ask, how to describe projects on a CV, and a large bank of interview questions."],"whoFor":"Chinese-speaking students and engineers who want to move into AI agent work or prepare for interviews.","useWithoutCoding":"Yes","keywords":["ai agents","learning path","interview","career","chinese"],"rating":2,"tags":["New this week"],"owner":{"name":"Adong / 阿东玩 AI","githubUrl":"https://github.com/adongwanai"},"license":null,"stars":10996,"contributors":6,"monthlyDownloads":null,"lastPushedAt":"2026-09-15T06:38:22Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the guide on GitHub or its website.","Pick the engineering or research route and follow the suggested order of topics."],"officialDownload":null},{"slug":"cvpr2026-papers-with-code","name":"CVPR 2026 Papers with Code","repo":"amusi/CVPR2026-Papers-with-Code","githubUrl":"https://github.com/amusi/CVPR2026-Papers-with-Code","homepage":null,"pageUrl":"/repo/cvpr2026-papers-with-code","category":"Learning resources","tagline":"A topic-by-topic list of computer vision research papers from CVPR 2026 that come with code.","whatItDoes":["CVPR is one of the main yearly conferences for computer vision, the field of AI that deals with images and video. This list gathers papers from the 2026 conference, with links to each paper and its code where available.","Papers are grouped by topic, such as 3D scenes, image generation, object detection, AI agents and vision-language models. The page is mostly in Chinese.","The author links to similar lists for other conferences and invites people to submit papers."],"whoFor":"Researchers and students keeping up with new computer vision work.","useWithoutCoding":"Yes","keywords":["computer vision papers","cvpr","research","reading list"],"rating":2,"tags":[],"owner":{"name":"Amusi","githubUrl":"https://github.com/amusi"},"license":null,"stars":22906,"contributors":5,"monthlyDownloads":null,"lastPushedAt":"2026-03-08T07:27:34Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Browse the topic list to find an area of computer vision you're interested in.","Follow each entry's links to the paper, its code and its project page."],"officialDownload":null},{"slug":"ryze-ads-mcp","name":"Google Ads + Meta Ads + GA4 MCP (Ryze)","repo":"irinabuht12-oss/google-ads-meta-ads-mcp","githubUrl":"https://github.com/irinabuht12-oss/google-ads-meta-ads-mcp","homepage":"https://www.get-ryze.ai/","pageUrl":"/repo/ryze-ads-mcp","category":"AI agents","tagline":"Connects AI assistants like Claude or ChatGPT to your Google Ads, Facebook ads and Google Analytics accounts.","whatItDoes":["This is a hosted connector that lets AI assistants work with advertising and website-analytics accounts. It uses MCP, a standard way for AI assistants to use outside tools.","After you sign in with your Google or Facebook account, the assistant can look at campaigns, research keywords, create ads and pull reports. The README says every change goes through an approval step.","It is part of a paid service, Ryze, with a free trial. The README compares it with Google's free, read-only official connector."],"whoFor":"Marketers and agencies who manage online ads and want to work on them through an AI assistant.","useWithoutCoding":"Yes","keywords":["google ads","facebook ads","marketing","analytics","claude connector"],"rating":2,"tags":["New this week"],"owner":{"name":"Ira Bodnar","githubUrl":"https://github.com/irinabuht12-oss"},"license":"MIT","stars":5236,"contributors":2,"monthlyDownloads":null,"lastPushedAt":"2026-10-12T06:10:55Z","sources":[],"checkedByPerson":false,"cost":"Mainly a paid service","runsOn":["Cloud"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["In your AI assistant's settings, add a custom connector using the Ryze address given in the README.","Sign in with the Google or Facebook account that owns your ads.","Ask the assistant about your campaigns, and approve any changes it suggests."],"officialDownload":null},{"slug":"sparrow","name":"Sparrow","repo":"katanaml/sparrow","githubUrl":"https://github.com/katanaml/sparrow","homepage":"https://sparrow.katanaml.io/","pageUrl":"/repo/sparrow","category":"Documents & knowledge","tagline":"Pulls clean, structured data out of invoices, receipts, statements and forms using AI.","whatItDoes":["Sparrow reads business documents such as invoices, receipts, bank statements and forms, and turns them into structured data a computer can use. It uses machine learning and vision AI models that can read images.","Developers send documents through its API and get checked data back. It also supports workflow agents for multi-step jobs, and a web page where you can drag and drop files.","Its makers say it can run on your own infrastructure with no outside AI calls, using backends such as Apple's MLX or Ollama. An online version can also be tried."],"whoFor":"Businesses and developers who need to automate data entry from documents.","useWithoutCoding":"Developers only","keywords":["invoice extraction","receipts","document ai","forms to data","ocr"],"rating":2,"tags":["New this week"],"owner":{"name":"Katana ML","githubUrl":"https://github.com/katanaml"},"license":"GPL-3.0","stars":5225,"contributors":4,"monthlyDownloads":null,"lastPushedAt":"2026-10-08T09:53:17Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Mac","Linux","Server","Cloud"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"awesome-chatgpt-prompts-zh","name":"awesome-chatgpt-prompts-zh","repo":"PlexPt/awesome-chatgpt-prompts-zh","githubUrl":"https://github.com/PlexPt/awesome-chatgpt-prompts-zh","homepage":"https://chat.aimakex.com/","pageUrl":"/repo/awesome-chatgpt-prompts-zh","category":"Learning resources","tagline":"A large collection of ready-to-copy Chinese prompts that ask ChatGPT to play roles like translator, editor or interviewer.","whatItDoes":["This is a Chinese-language guide to getting better results from ChatGPT and similar chat assistants. Its core is a long list of prompts: ready-made instructions you copy and paste that ask the AI to take on a particular role.","Examples include an English translator and polisher, an academic-paper editor, a job interviewer, a travel guide, a storyteller and a text adventure game. The guide also lists the kinds of writing the AI can help with, from essays and ads to résumés. The prompts are also provided as a data file for programmers.","The README also links to a separate Chinese-language chat website."],"whoFor":"Chinese-speaking users of ChatGPT and similar assistants who want ready-made prompts for common tasks.","useWithoutCoding":"Yes","keywords":["chatgpt prompts","chinese","prompt examples","role play","translation"],"rating":2,"tags":[],"owner":{"name":"plex","githubUrl":"https://github.com/PlexPt"},"license":"MIT","stars":63713,"contributors":25,"monthlyDownloads":null,"lastPushedAt":"2026-04-28T10:52:14Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Browse the list and pick a prompt for the role you want, such as translator or editor.","Copy it into ChatGPT or a similar chatbot, then add your own request."],"officialDownload":null},{"slug":"featuretools","name":"Featuretools","repo":"alteryx/featuretools","githubUrl":"https://github.com/alteryx/featuretools","homepage":"https://www.featuretools.com/","pageUrl":"/repo/featuretools","category":"Data science tools","tagline":"Automatically creates useful data columns for machine-learning models from linked tables.","whatItDoes":["Machine-learning models need good input columns, called features. Featuretools builds them automatically from related tables, such as customers and their purchases.","It is a Python library with optional add-ons, for example for text data."],"whoFor":"Data scientists preparing data for prediction models.","useWithoutCoding":"Developers only","keywords":["feature engineering","automl","data science"],"rating":2,"tags":["New this week"],"owner":{"name":"alteryx","githubUrl":"https://github.com/alteryx"},"license":"BSD-3-Clause","stars":7688,"contributors":75,"monthlyDownloads":95228,"lastPushedAt":"2026-09-11T08:13:00Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"printfilm","name":"PRINTFILM","repo":"yi1108/printfilm","githubUrl":"https://github.com/yi1108/printfilm","homepage":"https://www.printfilm.com/","pageUrl":"/repo/printfilm","category":"Images & video","tagline":"A platform that turns a topic or script into AI-made short videos and short dramas.","whatItDoes":["PRINTFILM is a creative platform for making short videos and short drama series with AI. You start from a topic or a script, and it moves through storyboards, generated images and generated video clips to a finished film.","It has over twenty style templates, reusable characters and scenes, and single tools such as text-to-image and text-to-video. You can redo any shot.","It runs with Docker on your own computer. The open-source version uses one outside AI service for text, images and video, which needs that service's key."],"whoFor":"Marketers and creators making short videos or serial dramas with AI.","useWithoutCoding":"With some setup","keywords":["ai video","short video","short drama","storyboard","video generator"],"rating":2,"tags":["New this week"],"owner":{"name":"yi","githubUrl":"https://github.com/yi1108"},"license":"MIT","stars":5177,"contributors":2,"monthlyDownloads":null,"lastPushedAt":"2026-10-15T10:46:32Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Install Docker Desktop and download the project.","Fill in the settings file, including a key from the AI service the README names.","Start it with Docker and open the local web page to create a project."],"officialDownload":null},{"slug":"mlcourse-ai","name":"mlcourse.ai","repo":"Yorko/mlcourse.ai","githubUrl":"https://github.com/Yorko/mlcourse.ai","homepage":"https://mlcourse.ai/","pageUrl":"/repo/mlcourse-ai","category":"Learning resources","tagline":"A free, self-paced course that teaches the basics of machine learning over ten weeks.","whatItDoes":["mlcourse.ai is an open machine learning course from the OpenDataScience community. Machine learning is the part of AI where computers learn patterns from examples.","It guides you through ten weeks of topics, from analysing data with Python to methods like decision trees and gradient boosting. Each week lists articles to read, video lectures to watch and assignments to try.","The course is free. Extra bonus assignments with solutions are sold separately through a paid supporter tier."],"whoFor":"Learners with some Python and maths who want a structured start in machine learning.","useWithoutCoding":"Yes","keywords":["machine learning course","learn ai","data science","python"],"rating":2,"tags":["New this week"],"owner":{"name":"Yury Kashnitsky","githubUrl":"https://github.com/Yorko"},"license":"NOASSERTION","stars":10761,"contributors":16,"monthlyDownloads":null,"lastPushedAt":"2026-09-03T08:10:01Z","sources":[{"site":"Hacker News","title":"Open Machine Learning Course","url":"https://news.ycombinator.com/item?id=18053988","date":"2018-09-23"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the course website.","Follow the self-paced plan, one week at a time, reading the articles and watching the lectures."],"officialDownload":null},{"slug":"graph-based-deep-learning-literature","name":"Graph-based Deep Learning Literature","repo":"naganandy/graph-based-deep-learning-literature","githubUrl":"https://github.com/naganandy/graph-based-deep-learning-literature","homepage":null,"pageUrl":"/repo/graph-based-deep-learning-literature","category":"Learning resources","tagline":"An organised list of research papers on AI that works with networks of connected data.","whatItDoes":["Some data is best described as a graph: dots connected by lines, such as social networks, molecules or road maps. \"Graph neural networks\" are AI models built for this kind of data.","This project collects links to research papers on the topic from the major AI and data-mining conferences, organised by conference, year and subject.","It also links to related workshops, survey papers, books and software libraries."],"whoFor":"Students and researchers studying graph neural networks.","useWithoutCoding":"Yes","keywords":["graph neural networks","research papers","reading list","deep learning"],"rating":2,"tags":["New this week"],"owner":{"name":"naganandy","githubUrl":"https://github.com/naganandy"},"license":"MIT","stars":5104,"contributors":12,"monthlyDownloads":null,"lastPushedAt":"2026-09-28T03:38:21Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the list on GitHub and choose a conference and year.","Browse the papers by topic and follow the links to read them."],"officialDownload":null},{"slug":"monid","name":"Monid","repo":"monid-ai/monid","githubUrl":"https://github.com/monid-ai/monid","homepage":"https://monid.ai/","pageUrl":"/repo/monid","category":"Developer building blocks","tagline":"One account and key that gives AI agents access to thousands of paid tools, such as search and data lookups.","whatItDoes":["Monid is a service that lets AI agents reach more than 2,000 tools from many providers through one address and one key. Tools include web search and scraping, company lookups, social media, reviews, market data and image, video and voice generation.","You pay per use, and the README says failed or empty results cost nothing. Agents can search the catalogue for the best tool for a job, with price and speed shown.","This repository holds the connector layer, the descriptions of how each tool is called and billed. Developers can add their own service by writing a connector."],"whoFor":"Developers building AI agents that need many outside tools, and companies who want to offer their service to agents.","useWithoutCoding":"Developers only","keywords":["ai agents","tools","api marketplace","web search"],"rating":2,"tags":["New this week"],"owner":{"name":"Monid","githubUrl":"https://github.com/monid-ai"},"license":"MIT","stars":5056,"contributors":10,"monthlyDownloads":null,"lastPushedAt":"2026-10-16T03:23:31Z","sources":[{"site":"Hacker News","title":"Show HN: I built a router for agent tools","url":"https://news.ycombinator.com/item?id=49730644","date":"2026-09-16"}],"checkedByPerson":false,"cost":"Mainly a paid service","runsOn":["Cloud"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"autokeras","name":"AutoKeras","repo":"keras-team/autokeras","githubUrl":"https://github.com/keras-team/autokeras","homepage":"http://autokeras.com/","pageUrl":"/repo/autokeras","category":"Training & fine-tuning","tagline":"A library that builds and trains deep-learning models for you with just a few lines of code.","whatItDoes":["AutoKeras is an AutoML tool, which stands for automated machine learning. Instead of designing an AI model by hand, you give it your data and it searches for a good model design and trains it.","For example, you can create an image classifier, train it on your pictures and make predictions in about three lines of Python. It is built on Keras, a popular deep-learning library.","It was developed at Texas A&M University, and its stated goal is to make machine learning accessible to everyone."],"whoFor":"Programmers and students who want to train AI models without deep expertise in model design.","useWithoutCoding":"Developers only","keywords":["automl","train a model","image classifier","deep learning"],"rating":2,"tags":["New this week"],"owner":{"name":"Keras","githubUrl":"https://github.com/keras-team"},"license":"Apache-2.0","stars":9336,"contributors":148,"monthlyDownloads":7987,"lastPushedAt":"2025-11-25T02:26:35Z","sources":[{"site":"Hacker News","title":"Auto-Keras: open-source software library for automated machine learning","url":"https://news.ycombinator.com/item?id=19499421","date":"2019-03-27"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"mastering-github-copilot","name":"Mastering GitHub Copilot","repo":"microsoft/Mastering-GitHub-Copilot-for-Paired-Programming","githubUrl":"https://github.com/microsoft/Mastering-GitHub-Copilot-for-Paired-Programming","homepage":null,"pageUrl":"/repo/mastering-github-copilot","category":"Learning resources","tagline":"A free Microsoft course, about 10 hours long, on using GitHub Copilot as an AI coding partner.","whatItDoes":["This is a multi-part course from Microsoft that teaches you how to work with GitHub Copilot, an AI assistant that helps write code.","Lessons go from beginner to advanced, including Copilot's 'Agent Mode', where it plans and carries out multi-step coding tasks. There are lessons for JavaScript, Python, C# and more.","Each lesson has written instructions, a hands-on challenge and links to further reading. The README notes that you need an active GitHub Copilot subscription and links to a free sign-up."],"whoFor":"Beginner and experienced programmers who want to get more out of GitHub Copilot.","useWithoutCoding":"Developers only","keywords":["github copilot","course","ai pair programming","learn to code","tutorial"],"rating":2,"tags":["New this week"],"owner":{"name":"Microsoft","githubUrl":"https://github.com/microsoft"},"license":"MIT","stars":8159,"contributors":28,"monthlyDownloads":null,"lastPushedAt":"2026-09-16T00:36:58Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Copy (fork) the course into your own GitHub account so you can do the challenges.","Start with the beginner lesson and work through each challenge."],"officialDownload":null},{"slug":"cogvideo","name":"CogVideoX","repo":"zai-org/CogVideo","githubUrl":"https://github.com/zai-org/CogVideo","homepage":null,"pageUrl":"/repo/cogvideo","category":"Images & video","tagline":"Open AI models that turn a written description or a picture into a short video clip.","whatItDoes":["CogVideoX is a family of video-generation models. You describe a scene in words, or give it a starting image, and it creates a short video. It can also continue an existing video.","Its makers say the smaller model runs on older graphics cards and the larger one on ordinary desktop graphics cards. They also note that longer, more detailed prompts give better results, and suggest using a chat AI to rewrite short prompts.","The repository includes code for running the models and for fine-tuning them (teaching them a new style with your own clips). The original CogVideo model from 2022 is kept here too."],"whoFor":"Researchers, developers and hobbyists who want to make AI video on their own hardware.","useWithoutCoding":"Developers only","keywords":["text to video","ai video","image to video","video generator"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"Z.ai","githubUrl":"https://github.com/zai-org"},"license":"Apache-2.0","stars":13086,"contributors":40,"monthlyDownloads":null,"lastPushedAt":"2025-11-04T11:19:04Z","sources":[{"site":"Research paper","title":"CogVideoX technical report","url":"https://arxiv.org/abs/2408.06072","date":"2024-08-01"},{"site":"Research paper","title":"CogVideo (ICLR 2023)","url":"https://arxiv.org/abs/2205.15868","date":"2022-05-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Try the model first in the online demo space its makers link to on Hugging Face.","To run it yourself, install Python and the listed requirements, then follow the demo script in the project."],"officialDownload":null},{"slug":"t3mp3st","name":"T3MP3ST","repo":"elder-plinius/T3MP3ST","githubUrl":"https://github.com/elder-plinius/T3MP3ST","homepage":null,"pageUrl":"/repo/t3mp3st","category":"AI agents","tagline":"A multi-agent platform that turns an AI coding agent into a security testing tool.","whatItDoes":["T3MP3ST is a platform that coordinates several AI agents to carry out security testing, running steps like reconnaissance, finding weaknesses, and writing a report.","It is driven by an AI coding agent you already run, or by a model you run fully offline, and can be used from a web interface or the command line.","Its makers stress it is for authorised testing only, on systems you own or have written permission to test."],"whoFor":"Security professionals doing authorised testing on systems they own or are permitted to test.","useWithoutCoding":"With some setup","keywords":["security testing","red team","multi-agent","vulnerabilities","offensive security"],"rating":2,"tags":["New this week"],"owner":{"name":"pliny","githubUrl":"https://github.com/elder-plinius"},"license":"AGPL-3.0","stars":6559,"contributors":37,"monthlyDownloads":null,"lastPushedAt":"2026-09-08T16:37:44Z","sources":[],"checkedByPerson":true,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"geniex","name":"GenieX","repo":"qualcomm/GenieX","githubUrl":"https://github.com/qualcomm/GenieX","homepage":"https://geniex.aihub.qualcomm.com/en/get-started/what-is-geniex","pageUrl":"/repo/geniex","category":"Run AI on your computer","tagline":"Runs AI chat and vision models directly on devices with Qualcomm Snapdragon chips.","whatItDoes":["GenieX is a tool from Qualcomm for running AI language models and vision-language models (which understand images too) on your own device. It works only on Qualcomm Snapdragon chips.","It runs on Windows laptops with Snapdragon X chips, on Android phones, and on some Linux devices. It can use the chip's NPU (a part made for AI), its graphics chip or its main processor.","You can load many models from Hugging Face or Qualcomm's own AI Hub, chat from the command line, use it from Python or Android apps, or run a local server that other apps can talk to."],"whoFor":"Owners of Snapdragon devices and developers building on-device AI apps.","useWithoutCoding":"With some setup","keywords":["snapdragon","on-device ai","local ai","qualcomm","offline"],"rating":2,"tags":["New this week"],"owner":{"name":"Qualcomm Technologies, Inc.","githubUrl":"https://github.com/qualcomm"},"license":"BSD-3-Clause","stars":8443,"contributors":22,"monthlyDownloads":626,"lastPushedAt":"2026-10-17T01:02:08Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Phone","Linux"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["On a Snapdragon Windows laptop, download the installer from the project's releases page and run it.","Open a new terminal window and use GenieX to chat with a model."],"officialDownload":"https://github.com/qualcomm/GenieX/releases"},{"slug":"deeplake","name":"Deep Lake","repo":"activeloopai/deeplake","githubUrl":"https://github.com/activeloopai/deeplake","homepage":"https://deeplake.ai/","pageUrl":"/repo/deeplake","category":"Documents & knowledge","tagline":"A database for AI that stores images, text, audio and more, and lets AI apps search through them.","whatItDoes":["Deep Lake is a database built for AI work. It stores many kinds of data, including text, images, video, audio, PDFs and embeddings (number codes that capture meaning), and lets AI apps search them.","It's used both for building chatbots that answer from your own data and for feeding large datasets into model training. It works with cloud storage services or your own computer.","It connects to popular AI toolkits such as LangChain and LlamaIndex. Some features need an account in the Deep Lake app."],"whoFor":"Developers building AI apps over their own data, and teams managing training datasets.","useWithoutCoding":"Developers only","keywords":["vector database","ai database","datasets","rag","embeddings"],"rating":2,"tags":["New this week"],"owner":{"name":"Activeloop","githubUrl":"https://github.com/activeloopai"},"license":"Apache-2.0","stars":9253,"contributors":140,"monthlyDownloads":97751,"lastPushedAt":"2026-05-21T15:28:00Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Cloud"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"face-recognition","name":"Face Recognition","repo":"ageitgey/face_recognition","githubUrl":"https://github.com/ageitgey/face_recognition","homepage":null,"pageUrl":"/repo/face-recognition","category":"Developer building blocks","tagline":"A simple programming toolkit for finding faces in photos and recognising who they are.","whatItDoes":["Face Recognition is a code library for Python that finds faces in pictures. It can point out where each face is, mark features like eyes, nose, mouth and chin, and compare faces to tell whether two photos show the same person.","It also includes a simple command-line tool for running face recognition on a whole folder of images. Developers can combine it with other tools to recognise faces in live video.","It's built on an existing face-recognition model from the dlib library. Its makers report high accuracy on a standard face-matching test."],"whoFor":"Programmers and hobbyists building apps that need to detect or identify faces in images.","useWithoutCoding":"Developers only","keywords":["face detection","facial recognition","photos","identify people","python"],"rating":2,"tags":[],"owner":{"name":"Adam Geitgey","githubUrl":"https://github.com/ageitgey"},"license":"MIT","stars":56835,"contributors":55,"monthlyDownloads":92902,"lastPushedAt":"2026-06-25T11:12:50Z","sources":[{"site":"Hacker News","title":"Show HN: A simple python API for doing face recognition in 5 lines of code","url":"https://news.ycombinator.com/item?id=13863977","date":"2017-03-14"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"practical-rl","name":"Practical_RL","repo":"yandexdataschool/Practical_RL","githubUrl":"https://github.com/yandexdataschool/Practical_RL","homepage":null,"pageUrl":"/repo/practical-rl","category":"Learning resources","tagline":"A free, hands-on university course on reinforcement learning, where AI learns by trial and error.","whatItDoes":["Practical_RL is an open course on reinforcement learning, the branch of AI where a program learns by trying actions and getting rewards. It is taught on campus at HSE and the Yandex School of Data Analysis and set up for online students.","Each week has lectures, seminars and homework, starting with the basics and moving to deep learning methods. Every major idea comes with a practical exercise.","Notebooks can be opened in Google Colab in a browser, or run on your own computer."],"whoFor":"Students and self-learners with some programming and maths background.","useWithoutCoding":"Developers only","keywords":["reinforcement learning","ai course","free course","machine learning"],"rating":2,"tags":["New this week"],"owner":{"name":"Yandex School of Data Analysis","githubUrl":"https://github.com/yandexdataschool"},"license":"Unlicense","stars":6595,"contributors":96,"monthlyDownloads":null,"lastPushedAt":"2026-03-31T20:00:24Z","sources":[{"site":"Hacker News","title":"Practical RL – A course in reinforcement learning in the wild","url":"https://news.ycombinator.com/item?id=14035602","date":"2017-04-04"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser","Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the course page on GitHub and read the week one materials.","Open a notebook in Google Colab, or install the course tools on your own computer."],"officialDownload":null},{"slug":"evolver","name":"Evolver","repo":"EvoMap/evolver","githubUrl":"https://github.com/EvoMap/evolver","homepage":"https://evomap.ai/","pageUrl":"/repo/evolver","category":"Add-ons for AI coding tools","tagline":"Helps AI agents learn from past work by turning experience into reusable, trackable instructions.","whatItDoes":["Evolver looks at an agent's logs in a project and picks a matching \"Gene\", a compact piece of learned know-how, then writes a prompt for the agent to use. Every change is recorded so you can audit it later.","It can hook into tools such as Cursor, Claude Code, Codex and OpenCode. Its makers say it works fully offline, with an optional online network for sharing skills.","The makers also published a research paper on why this \"Gene\" approach works better than longer skill documents."],"whoFor":"Developers who run AI coding agents and want them to improve over time in a controlled way.","useWithoutCoding":"Developers only","keywords":["self-improving ai agent","agent memory","prompt management","claude code"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"EvoMap","githubUrl":"https://github.com/EvoMap"},"license":"GPL-3.0","stars":8687,"contributors":9,"monthlyDownloads":12835,"lastPushedAt":"2026-10-16T05:42:51Z","sources":[{"site":"Research paper","title":"From Procedural Skills to Strategy Genes: Towards Experience-Driven Test-Time Evolution","url":"https://arxiv.org/abs/2604.15097","date":"2026-04-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install Node.js and Git.","Install Evolver with Node's package manager and run it inside a project folder that uses Git."],"officialDownload":"https://github.com/EvoMap/evolver/releases"},{"slug":"doccano","name":"doccano","repo":"doccano/doccano","githubUrl":"https://github.com/doccano/doccano","homepage":null,"pageUrl":"/repo/doccano","category":"Training & fine-tuning","tagline":"A web tool where people label text together to create training data for AI models.","whatItDoes":["To teach an AI model, you often need examples labeled by people, such as marking whether a review is positive or highlighting names in a sentence. doccano is a web app for doing that labeling.","You create a project, upload text and invite others to help. It supports sorting text into categories, marking words and phrases, and pairing texts (for example for summaries or translations). It works in many languages and on phones too.","It runs on your own computer or server, installed with Python or Docker."],"whoFor":"Researchers and teams who need to prepare labeled text data for machine learning.","useWithoutCoding":"With some setup","keywords":["data labeling","annotation","training data","text labeling","dataset"],"rating":2,"tags":["New this week"],"owner":{"name":"doccano","githubUrl":"https://github.com/doccano"},"license":"MIT","stars":10802,"contributors":110,"monthlyDownloads":5142,"lastPushedAt":"2026-04-14T21:16:25Z","sources":[{"site":"Hacker News","title":"Doccano: Open-source text annotation tool for machine learning","url":"https://news.ycombinator.com/item?id=22846811","date":"2020-04-12"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install doccano with Python's package installer or start it with Docker.","Open it in your web browser, create a project and upload your text.","Label the examples, alone or with teammates, and export the results."],"officialDownload":null},{"slug":"llm-course","name":"LLM Course","repo":"mlabonne/llm-course","githubUrl":"https://github.com/mlabonne/llm-course","homepage":"https://mlabonne.github.io/blog/","pageUrl":"/repo/llm-course","category":"Learning resources","tagline":"A free course with roadmaps and hands-on notebooks for learning how large language models work and are built.","whatItDoes":["This is a free course about large language models (LLMs), the technology behind chatbots like ChatGPT. It is organised into three parts: optional fundamentals (maths, Python and neural networks), building better models, and building apps with them.","It includes many notebooks, interactive coding pages that run in Google Colab in a web browser, covering topics such as fine-tuning (teaching a model new skills) and quantization (shrinking a model so it runs on ordinary hardware)."],"whoFor":"Learners with some programming background who want a structured path into LLMs.","useWithoutCoding":"Yes","keywords":["learn ai","llm course","tutorial","fine-tuning"],"rating":2,"tags":[],"owner":{"name":"Maxime Labonne","githubUrl":"https://github.com/mlabonne"},"license":"Apache-2.0","stars":84057,"contributors":3,"monthlyDownloads":null,"lastPushedAt":"2026-02-05T13:09:26Z","sources":[{"site":"Hacker News","title":"Large Language Model Course","url":"https://news.ycombinator.com/item?id=38485048","date":"2023-12-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Pick one of the three parts: fundamentals, the LLM scientist or the LLM engineer.","Work through the linked articles and videos for each topic.","Try the hands-on notebooks, which open in Google Colab in your browser."],"officialDownload":null},{"slug":"oasis","name":"OASIS","repo":"camel-ai/oasis","githubUrl":"https://github.com/camel-ai/oasis","homepage":"https://docs.oasis.camel-ai.org/","pageUrl":"/repo/oasis","category":"AI models & research","tagline":"Simulates social media with up to a million AI agents to study how information and opinions spread.","whatItDoes":["OASIS is a research simulator of social media platforms like Twitter and Reddit. AI agents act as users who follow, comment and repost.","It can scale up to one million agents and includes recommendation systems like real platforms. Researchers use it to study things like how news spreads, how groups polarise and herd behaviour."],"whoFor":"Researchers in social science and AI studying online behaviour.","useWithoutCoding":"Developers only","keywords":["social media simulation","ai agents","research","misinformation","multi-agent"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"camel-ai.org","githubUrl":"https://github.com/camel-ai"},"license":"Apache-2.0","stars":5305,"contributors":38,"monthlyDownloads":22004,"lastPushedAt":"2026-10-12T09:06:19Z","sources":[{"site":"Research paper","title":"OASIS: Open Agent Social Interaction Simulations with One Million Agents","url":"https://arxiv.org/abs/2411.11581","date":"2024-11-01"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"deepctr","name":"DeepCTR","repo":"shenweichen/DeepCTR","githubUrl":"https://github.com/shenweichen/DeepCTR","homepage":"https://deepctr-doc.readthedocs.io/en/latest/index.html","pageUrl":"/repo/deepctr","category":"Developer building blocks","tagline":"A code library of AI models that predict which ads or items people are likely to click.","whatItDoes":["DeepCTR is a Python library of deep-learning models for click-through rate (CTR) prediction, which means guessing how likely someone is to click on an ad, product or recommendation.","It includes many ready-made models and building blocks for making your own. Its makers say you can use any of them with a couple of simple commands to train and predict.","It is built on TensorFlow, which you install separately."],"whoFor":"Developers and data scientists working on recommendations and online advertising.","useWithoutCoding":"Developers only","keywords":["recommendations","click prediction","advertising","deep learning"],"rating":2,"tags":["New this week"],"owner":{"name":"weichen","githubUrl":"https://github.com/shenweichen"},"license":"Apache-2.0","stars":8050,"contributors":21,"monthlyDownloads":9598,"lastPushedAt":"2026-10-11T12:52:23Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"dashi-ppt-skill","name":"Dashi PPT Skill","repo":"chuspeeism/dashi-ppt-skill","githubUrl":"https://github.com/chuspeeism/dashi-ppt-skill","homepage":null,"pageUrl":"/repo/dashi-ppt-skill","category":"Add-ons for AI coding tools","tagline":"A skill that lets an AI agent turn your documents into slide decks you can edit and export to PowerPoint.","whatItDoes":["This is a skill, a set of instructions and tools, for AI agents like Claude Code and Codex. You give the agent a document and ask for a presentation, and it builds the slides.","The slides open in a web browser with built-in controls, so you can click to change text, swap images and adjust layouts. Its makers say it has 12 visual themes and over a thousand page layouts, including charts and business models like SWOT.","You can export the result as an offline web page, a PDF or an editable PowerPoint file."],"whoFor":"Office workers and analysts who use an AI agent and need presentations quickly.","useWithoutCoding":"With some setup","keywords":["powerpoint","slides","presentation maker","pptx"],"rating":2,"tags":["New this week"],"owner":{"name":"Dashi AI Lab","githubUrl":"https://github.com/chuspeeism"},"license":"AGPL-3.0","stars":9657,"contributors":2,"monthlyDownloads":null,"lastPushedAt":"2026-09-12T14:13:08Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Install Node.js on your computer, then install the skill using the one-line command in the README, or ask your AI agent to install it.","Give your agent a document and ask it to make a presentation.","Edit the slides in your browser, then export them."],"officialDownload":null},{"slug":"dia","name":"Dia","repo":"nari-labs/dia","githubUrl":"https://github.com/nari-labs/dia","homepage":null,"pageUrl":"/repo/dia","category":"Speech & audio","tagline":"Turns a written script into realistic spoken dialogue between two voices, including laughs and other sounds.","whatItDoes":["Dia is a text-to-speech AI model from Nari Labs. You write a script with two speakers marked, and it produces a natural-sounding conversation in one go.","It can add non-speech sounds such as laughing, coughing or clearing the throat. You can also give it a short audio sample to guide the tone and emotion, or to copy a voice.","It currently supports English only. The model is free to download, and there's an online demo to try it."],"whoFor":"Podcasters, game makers, researchers and developers who need realistic AI-generated dialogue.","useWithoutCoding":"With some setup","keywords":["text to speech","voice","dialogue","podcast","voice cloning"],"rating":2,"tags":["Research-backed"],"owner":{"name":"Nari Labs","githubUrl":"https://github.com/nari-labs"},"license":"Apache-2.0","stars":19406,"contributors":21,"monthlyDownloads":null,"lastPushedAt":"2025-11-19T21:11:55Z","sources":[{"site":"Research paper","title":"SoundStorm: Efficient Parallel Audio Generation","url":"https://arxiv.org/abs/2305.09636","date":"2023-05-01"},{"site":"Hacker News","title":"Show HN: Dia, an open-weights TTS model for generating realistic dialogue","url":"https://news.ycombinator.com/item?id=43754124","date":"2025-04-21"},{"site":"Hacker News","title":"Open (Apache 2.0) TTS model for streaming conversational audio in realtime","url":"https://news.ycombinator.com/item?id=46033386","date":"2025-11-24"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Try the free online demo on Hugging Face.","To run it yourself you need a computer with a graphics card.","Install Dia, then start its simple web interface."],"officialDownload":null},{"slug":"finrobot","name":"FinRobot","repo":"AI4Finance-Foundation/FinRobot","githubUrl":"https://github.com/AI4Finance-Foundation/FinRobot","homepage":"https://finrobot.ai/","pageUrl":"/repo/finrobot","category":"Finance & trading","tagline":"An open platform of AI agents for financial research, such as analysing companies and writing reports.","whatItDoes":["FinRobot is a framework of AI agents for financial work, such as equity research (studying companies' shares), trading research and risk analysis.","Its makers say the financial numbers, such as company valuations, are calculated by regular software, while the AI model explains and writes up the results. Several agents work together, including ones that argue for and against a view.","There are three parts: a desktop research app, a self-hosted web app that turns a stock ticker into a report, and an original teaching library behind the research paper."],"whoFor":"Financial analysts, researchers and developers exploring AI for financial research.","useWithoutCoding":"With some setup","keywords":["finance","stock research","investment analysis","ai agents"],"rating":2,"tags":["Research-backed","New this week"],"owner":{"name":"AI4Finance Foundation","githubUrl":"https://github.com/AI4Finance-Foundation"},"license":"Apache-2.0","stars":8243,"contributors":7,"monthlyDownloads":492,"lastPushedAt":"2026-09-28T11:24:54Z","sources":[{"site":"Research paper","title":"FinRobot whitepaper","url":"https://arxiv.org/abs/2405.14767","date":"2024-05-01"}],"checkedByPerson":true,"cost":null,"runsOn":["Mac","Windows","Linux","Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["On an Apple Silicon Mac, download the desktop app from the project's releases page and drag it into Applications.","Follow the README's one-time step to let macOS open the app."],"officialDownload":"https://github.com/AI4Finance-Foundation/FinRobot/releases/tag/desktop-v0.1.0"},{"slug":"open-deep-research","name":"Open Deep Research","repo":"dzhng/deep-research","githubUrl":"https://github.com/dzhng/deep-research","homepage":null,"pageUrl":"/repo/open-deep-research","category":"AI agents","tagline":"An AI research assistant that searches the web in rounds and writes up a detailed report on any topic.","whatItDoes":["You give this tool a question and it researches it like a determined student. It writes search queries, reads the results, notes what it learned, then decides what to dig into next.","You choose how wide (how many directions) and how deep (how many rounds) the research goes. At the end it produces a written report with its findings and sources.","Its makers keep the code very short on purpose so it's easy to understand and build on."],"whoFor":"Developers who want a simple, readable example of a research agent to use or extend.","useWithoutCoding":"Developers only","keywords":["research assistant","deep research","web search","report","ai agent"],"rating":2,"tags":[],"owner":{"name":"David Zhang","githubUrl":"https://github.com/dzhng"},"license":"MIT","stars":19792,"contributors":16,"monthlyDownloads":null,"lastPushedAt":"2026-04-11T23:58:25Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Get API keys from Firecrawl and OpenAI, or point it at a local AI model instead.","Install Node.js, download the project and add your keys to its settings file.","Start it, type your research question, and choose how broad and deep to search."],"officialDownload":null},{"slug":"awesome-mcp-clients","name":"Awesome MCP Clients","repo":"punkpeye/awesome-mcp-clients","githubUrl":"https://github.com/punkpeye/awesome-mcp-clients","homepage":"https://glama.ai/mcp/clients","pageUrl":"/repo/awesome-mcp-clients","category":"Learning resources","tagline":"A curated list of apps that can use MCP, the standard way of plugging tools into AI assistants.","whatItDoes":["MCP (Model Context Protocol) is an open standard that lets AI assistants use outside tools and data, such as files, databases or web services. An \"MCP client\" is an app that can connect to these tools.","This page lists many such apps, from chat programs and coding assistants to command-line tools and Slack bots, with a short description of each.","It is a reading list rather than software. The README notes that a more up-to-date version of the list is kept on the Glama website."],"whoFor":"Anyone exploring which AI apps support MCP tools.","useWithoutCoding":"Yes","keywords":["mcp","ai apps list","model context protocol","directory"],"rating":2,"tags":["New this week"],"owner":{"name":"Frank Fiegel","githubUrl":"https://github.com/punkpeye"},"license":"MIT","stars":6612,"contributors":88,"monthlyDownloads":null,"lastPushedAt":"2026-06-07T18:57:48Z","sources":[{"site":"Hacker News","title":"OpenAI is good at unminifying code","url":"https://news.ycombinator.com/item?id=41389185","date":"2024-08-29"},{"site":"Hacker News","title":"Prompt Injecting Contributing.md","url":"https://news.ycombinator.com/item?id=47441499","date":"2026-03-19"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the list on GitHub and browse the apps by name.","Follow the link for any app that interests you to learn how to install it."],"officialDownload":null},{"slug":"palm-rlhf-pytorch","name":"PaLM + RLHF (PyTorch)","repo":"lucidrains/PaLM-rlhf-pytorch","githubUrl":"https://github.com/lucidrains/PaLM-rlhf-pytorch","homepage":null,"pageUrl":"/repo/palm-rlhf-pytorch","category":"Training & fine-tuning","tagline":"Example code showing how ChatGPT-style training with human feedback works.","whatItDoes":["This project writes out, in code, the steps for training a chat model with human feedback (RLHF) on top of the PaLM design.","The README says there is no trained model included and calls it a work in progress; training a useful model would need huge computing power and data."],"whoFor":"Researchers and students who want to study how RLHF training works.","useWithoutCoding":"Developers only","keywords":["rlhf","chatgpt training","language model research"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Phil Wang","githubUrl":"https://github.com/lucidrains"},"license":"MIT","stars":7858,"contributors":5,"monthlyDownloads":316,"lastPushedAt":"2026-09-20T15:27:21Z","sources":[{"site":"Hacker News","title":"First Open Source Alternative to ChatGPT Has Arrived","url":"https://news.ycombinator.com/item?id=34163413","date":"2022-12-28"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"awesome-llm-inference","name":"Awesome LLM Inference","repo":"xlite-dev/Awesome-LLM-Inference","githubUrl":"https://github.com/xlite-dev/Awesome-LLM-Inference","homepage":null,"pageUrl":"/repo/awesome-llm-inference","category":"Learning resources","tagline":"A curated list of research papers and code on making large language models run faster and cheaper.","whatItDoes":["This is a reading list about inference, the work of running an already-trained AI model to get answers. It collects research papers, each with links to code where available.","Topics include splitting work across many graphics cards, shrinking models (quantization), memory tricks, faster attention methods and running models on phones and other devices. There is also a long PDF guide for beginners."],"whoFor":"Engineers and researchers who make AI models run efficiently.","useWithoutCoding":"Yes","keywords":["llm inference","research papers","quantization","gpu","reading list"],"rating":1.5,"tags":["New this week"],"owner":{"name":"xlite-dev","githubUrl":"https://github.com/xlite-dev"},"license":"GPL-3.0","stars":5531,"contributors":40,"monthlyDownloads":null,"lastPushedAt":"2026-08-14T12:23:49Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Pick a topic from the contents and open the papers that interest you."],"officialDownload":null},{"slug":"mcp-agent","name":"mcp-agent","repo":"lastmile-ai/mcp-agent","githubUrl":"https://github.com/lastmile-ai/mcp-agent","homepage":null,"pageUrl":"/repo/mcp-agent","category":"AI agents","tagline":"A Python framework for building AI agents that use tools through the Model Context Protocol.","whatItDoes":["mcp-agent helps programmers build AI agents: programs where an AI model can take actions, like reading files or fetching web pages. It is built around the Model Context Protocol (MCP), a common way to connect AI models to outside tools.","It handles connecting to these tool servers and includes ready-made patterns for organising agent work, such as routing tasks or having one agent check another's output. Its makers say simple patterns like these are more reliable than complex designs.","Agents can be scaled up to long-running jobs that pause and resume, and deployed to the cloud."],"whoFor":"Python developers building AI agents.","useWithoutCoding":"Developers only","keywords":["ai agents","mcp","model context protocol","agent framework","python"],"rating":1.5,"tags":["New this week"],"owner":{"name":"lastmile ai","githubUrl":"https://github.com/lastmile-ai"},"license":"Apache-2.0","stars":8571,"contributors":60,"monthlyDownloads":null,"lastPushedAt":"2026-01-25T16:35:16Z","sources":[{"site":"Hacker News","title":"Show HN: Mcp-Agent – Build effective agents with Model Context Protocol","url":"https://news.ycombinator.com/item?id=42867050","date":"2025-01-29"},{"site":"Hacker News","title":"Show HN: Representing Agents as MCP Servers","url":"https://news.ycombinator.com/item?id=44053754","date":"2025-05-21"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"videocaptioner","name":"VideoCaptioner","repo":"WEIFENG2333/VideoCaptioner","githubUrl":"https://github.com/WEIFENG2333/VideoCaptioner","homepage":"https://www.videocaptioner.cn/","pageUrl":"/repo/videocaptioner","category":"Speech & audio","tagline":"Creates, fixes, translates and adds subtitles to videos, using speech recognition and AI language models.","whatItDoes":["VideoCaptioner handles the whole subtitle process for a video. It listens to the audio and writes out what is said, splits the text into readable subtitle lines, uses an AI language model to correct mistakes, translates the subtitles into other languages and can burn them into the video.","Some features are free and need no setup, such as certain online speech-recognition and Bing or Google translation services. The AI clean-up and AI translation need a key from a model provider. It can also download videos from sites such as YouTube and create dubbed audio.","It has a desktop app and a command-line tool, plus a skill for Claude Code. The README is in Chinese."],"whoFor":"Video creators, translators and learners who need subtitles, especially in Chinese and other languages.","useWithoutCoding":"With some setup","keywords":["subtitles","captions","translate video","transcribe","dubbing"],"rating":1.5,"tags":[],"owner":{"name":"BKK","githubUrl":"https://github.com/WEIFENG2333"},"license":"GPL-3.0","stars":16289,"contributors":13,"monthlyDownloads":992,"lastPushedAt":"2026-09-12T06:20:49Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Mac"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Open the desktop app and load a video to create or translate subtitles.","Optionally add an AI model API key for subtitle polishing and better translation."],"officialDownload":"https://github.com/WEIFENG2333/VideoCaptioner/releases"},{"slug":"cleanrl","name":"CleanRL","repo":"vwxyzjn/cleanrl","githubUrl":"https://github.com/vwxyzjn/cleanrl","homepage":"http://docs.cleanrl.dev/","pageUrl":"/repo/cleanrl","category":"AI models & research","tagline":"Simple, readable one-file versions of key reinforcement learning methods, made for study and research.","whatItDoes":["Reinforcement learning is a way of training AI by trial and error, for example learning to play a video game by earning points. CleanRL offers clear versions of well-known methods for doing this.","Each method lives in a single file, so readers can see every detail in one place. Its makers say this makes it a good reference for learning how the methods really work.","It includes tools for logging experiments and recording gameplay videos, and can be scaled up to run many experiments in the cloud."],"whoFor":"Students and researchers studying reinforcement learning.","useWithoutCoding":"Developers only","keywords":["reinforcement learning","game playing ai","learn ai","research code"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Costa Huang","githubUrl":"https://github.com/vwxyzjn"},"license":"NOASSERTION","stars":10572,"contributors":45,"monthlyDownloads":null,"lastPushedAt":"2026-04-20T10:57:15Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux","Cloud"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"lmflow","name":"LMFlow","repo":"OptimalScale/LMFlow","githubUrl":"https://github.com/OptimalScale/LMFlow","homepage":"https://optimalscale.github.io/LMFlow/","pageUrl":"/repo/lmflow","category":"Training & fine-tuning","tagline":"A toolkit for fine-tuning large AI language models on your own data and then running them.","whatItDoes":["LMFlow is a toolbox for fine-tuning large language models, which means teaching an existing AI model new skills or knowledge using your own examples. It supports full training as well as lighter methods such as LoRA and LISA that need less graphics memory.","It also covers running the tuned model, deploying it and testing it. The team has released tuned models of its own, and its makers say the project won a best demo paper award at the NAACL 2024 conference.","The makers note it is tested on Linux, and other systems may run into errors."],"whoFor":"Researchers and engineers who want to customise open AI language models.","useWithoutCoding":"Developers only","keywords":["fine-tuning","llm training","lora","custom ai model"],"rating":1.5,"tags":["Research-backed","New this week"],"owner":{"name":"OptimalScale","githubUrl":"https://github.com/OptimalScale"},"license":"Apache-2.0","stars":8481,"contributors":48,"monthlyDownloads":13,"lastPushedAt":"2026-08-10T06:56:25Z","sources":[{"site":"Research paper","title":"LMFlow paper","url":"https://arxiv.org/abs/2306.12420","date":"2023-06-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"parlant","name":"Parlant","repo":"emcie-co/parlant","githubUrl":"https://github.com/emcie-co/parlant","homepage":"https://www.parlant.io/","pageUrl":"/repo/parlant","category":"AI agents","tagline":"Helps businesses build customer service chatbots that follow their rules and stay on-brand.","whatItDoes":["Parlant is a toolkit for building AI agents that talk to customers, such as support chatbots. Its focus is control: making sure the agent behaves consistently, follows company rules and policies, and keeps a clear record of why it said what it said.","Instead of stuffing one long instruction prompt with every rule, developers define rules and knowledge separately, and Parlant brings in only what's relevant at each point in a conversation. Its makers say this helps prevent unwanted answers, and they point to their research on keeping AI responses accurate."],"whoFor":"Developers at companies building customer-facing chat assistants.","useWithoutCoding":"Developers only","keywords":["customer service","chatbot","support bot","ai agent","business"],"rating":1.5,"tags":["Research-backed"],"owner":{"name":"Emcie","githubUrl":"https://github.com/emcie-co"},"license":"Apache-2.0","stars":18299,"contributors":46,"monthlyDownloads":5347,"lastPushedAt":"2026-07-12T19:40:55Z","sources":[{"site":"Research paper","title":"Attentive Reasoning Queries (ARQs)","url":"https://arxiv.org/abs/2503.03669","date":"2025-03-01"}],"checkedByPerson":false,"cost":null,"runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"antv-infographic","name":"AntV Infographic","repo":"antvis/Infographic","githubUrl":"https://github.com/antvis/Infographic","homepage":"https://infographic.antv.vision/","pageUrl":"/repo/antv-infographic","category":"Developer building blocks","tagline":"A JavaScript tool that turns short text descriptions into polished infographics, designed so AI can write them.","whatItDoes":["AntV Infographic draws infographics from a short, simple text description. Its makers designed the description format so that AI models can write it easily.","It comes with about 200 templates and layouts, themes such as hand-drawn and gradient styles, and a built-in editor for touching up the result. Pictures are made as SVG, a sharp image format that stays easy to edit.","It can draw an infographic bit by bit as an AI writes it. It also offers skills that let coding assistants like Claude Code and Codex create infographics for you."],"whoFor":"Web developers and product teams who want AI-generated infographics in their apps or documents.","useWithoutCoding":"Developers only","keywords":["infographic","data visualization","charts","javascript","ai design"],"rating":1.5,"tags":["New this week"],"owner":{"name":"AntV AI Visualization Team","githubUrl":"https://github.com/antvis"},"license":"MIT","stars":7015,"contributors":21,"monthlyDownloads":111783,"lastPushedAt":"2026-10-19T01:38:08Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"noi","name":"Noi","repo":"lencx/Noi","githubUrl":"https://github.com/lencx/Noi","homepage":"https://noib.app/","pageUrl":"/repo/noi","category":"Chat assistants","tagline":"A desktop app for organising your AI chats, with separate workspaces and saved prompts.","whatItDoes":["Noi is a desktop app built around working with AI chat services. It lets you open several windows side by side and keeps each session separate, so different tasks don't mix.","It can store and reuse your prompts, has a built-in terminal and comes with different themes. The README says history, prompts and settings stay on your own device."],"whoFor":"People who use AI chat tools a lot and want them organised in one app.","useWithoutCoding":"Yes","keywords":["ai chat app","chatgpt desktop","prompt manager","ai browser"],"rating":1.5,"tags":["New this week"],"owner":{"name":"lencx","githubUrl":"https://github.com/lencx"},"license":null,"stars":9061,"contributors":14,"monthlyDownloads":null,"lastPushedAt":"2026-08-21T16:42:55Z","sources":[{"site":"Hacker News","title":"Noi: an AI-enhanced, customizable browser","url":"https://news.ycombinator.com/item?id=40399923","date":"2024-05-18"}],"checkedByPerson":false,"cost":null,"runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Download Noi from the project's releases page on GitHub.","Install it and open the AI chat services you use."],"officialDownload":"https://github.com/lencx/Noi/releases"},{"slug":"chinese-llama-alpaca","name":"Chinese LLaMA & Alpaca","repo":"ymcui/Chinese-LLaMA-Alpaca","githubUrl":"https://github.com/ymcui/Chinese-LLaMA-Alpaca","homepage":"https://github.com/ymcui/Chinese-LLaMA-Alpaca/wiki","pageUrl":"/repo/chinese-llama-alpaca","category":"AI models & research","tagline":"AI language models adapted from LLaMA to understand and follow instructions in Chinese.","whatItDoes":["This project released versions of Meta's LLaMA model that were retrained on Chinese text and given a larger Chinese vocabulary, which its makers say improves how well they understand Chinese.","The Alpaca versions were further trained to follow instructions. The project also shares its training scripts and guides for running the models on a personal computer.","Its makers have since started newer projects based on LLaMA-2 and LLaMA-3 and recommend that users move to those."],"whoFor":"Researchers and developers working on Chinese-language AI.","useWithoutCoding":"Developers only","keywords":["chinese ai","llama","language model","local ai"],"rating":1.5,"tags":["Research-backed"],"owner":{"name":"Yiming Cui","githubUrl":"https://github.com/ymcui"},"license":"Apache-2.0","stars":18926,"contributors":11,"monthlyDownloads":null,"lastPushedAt":"2026-04-19T00:58:05Z","sources":[{"site":"Research paper","title":"Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca","url":"https://arxiv.org/abs/2304.08177","date":"2023-04-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"awesome-self-supervised-learning","name":"Awesome Self-Supervised Learning","repo":"jason718/awesome-self-supervised-learning","githubUrl":"https://github.com/jason718/awesome-self-supervised-learning","homepage":null,"pageUrl":"/repo/awesome-self-supervised-learning","category":"Learning resources","tagline":"A curated list of research papers on self-supervised learning, where AI learns from unlabelled data.","whatItDoes":["Self-supervised learning is a way for AI to learn from raw data without people labelling every example. This list collects research papers on the topic, with links to the papers and their code.","It's organised by area, including theory, computer vision, robotics, language, speech, time series and graphs, plus talks, theses and blog posts."],"whoFor":"Researchers and students studying modern AI training methods.","useWithoutCoding":"Yes","keywords":["self-supervised learning","research papers","deep learning","computer vision","awesome list"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Jason Ren","githubUrl":"https://github.com/jason718"},"license":null,"stars":6434,"contributors":86,"monthlyDownloads":null,"lastPushedAt":"2026-02-24T08:30:02Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the project page and choose a topic from the table of contents.","Follow the links to read papers or see their code."],"officialDownload":null},{"slug":"qbot","name":"Qbot","repo":"UFund-Me/Qbot","githubUrl":"https://github.com/UFund-Me/Qbot","homepage":"https://github.com/Charmve","pageUrl":"/repo/qbot","category":"Finance & trading","tagline":"A self-hosted platform for researching, testing and automating stock and fund trading strategies with AI.","whatItDoes":["Qbot is a Chinese-language platform for quantitative (\"quant\") investing, which means making trading decisions with data and rules. It covers the whole process: collecting market data, writing strategies, testing them on past data (backtesting), practising with simulated trades and, finally, automated live trading.","Its focus is AI strategies built with machine learning, deep learning and reinforcement learning, alongside classic indicator-based strategies. It supports stocks, funds, futures and cryptocurrencies, and can send alerts by email, Feishu or WeChat. It runs locally, with a desktop interface.","The README says a little Python knowledge and some trading experience will help."],"whoFor":"Programmers and hobbyist investors interested in data-driven, AI-assisted trading research.","useWithoutCoding":"Developers only","keywords":["quant trading","trading bot","backtesting","investing","ai strategy"],"rating":1.5,"tags":[],"owner":{"name":"UFund 柚方量化","githubUrl":"https://github.com/UFund-Me"},"license":"MIT","stars":18698,"contributors":3,"monthlyDownloads":null,"lastPushedAt":"2026-03-11T12:16:42Z","sources":[],"checkedByPerson":true,"cost":"Free","runsOn":["Mac"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"open-llm-vtuber","name":"Open-LLM-VTuber","repo":"Open-LLM-VTuber/Open-LLM-VTuber","githubUrl":"https://github.com/Open-LLM-VTuber/Open-LLM-VTuber","homepage":"https://open-llm-vtuber.github.io/","pageUrl":"/repo/open-llm-vtuber","category":"Chat assistants","tagline":"Talk out loud with an AI companion that has an animated character, running on your own computer.","whatItDoes":["Open-LLM-VTuber is a voice chat app with an animated character (a \"Live2D\" avatar, the style used by many virtual streamers). You speak, the AI answers out loud, and you can interrupt it mid-sentence without needing headphones.","It can also see through your camera or screen, show the character's expressions, and float on your desktop as a \"pet\". You can change the character's look, personality and voice. Its makers say it can run fully offline with local models, or use online AI services.","The makers note it's in early stages and that a full rewrite is being planned."],"whoFor":"People who want a talking AI companion, and hobbyists building virtual characters.","useWithoutCoding":"With some setup","keywords":["ai companion","voice chat","virtual character","vtuber","offline"],"rating":1.5,"tags":[],"owner":{"name":"Open-LLM-VTuber","githubUrl":"https://github.com/Open-LLM-VTuber"},"license":"NOASSERTION","stars":14170,"contributors":29,"monthlyDownloads":null,"lastPushedAt":"2026-05-15T07:18:04Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Mac","Linux","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Follow the Quick Start guide in the project's documentation to install it.","Choose a local model to run offline, or connect a cloud AI service.","Open the web page or desktop app and start talking to your companion."],"officialDownload":null},{"slug":"megaparse","name":"MegaParse","repo":"The-Vibe-Company/megaparse","githubUrl":"https://github.com/The-Vibe-Company/megaparse","homepage":"https://megaparse.com/","pageUrl":"/repo/megaparse","category":"Documents & knowledge","tagline":"A tool that converts PDFs, Word and PowerPoint files into clean text that AI models can read well.","whatItDoes":["MegaParse is a document parser: it reads files such as PDFs, Word documents, PowerPoint slides, Excel sheets and CSV files and turns them into text an AI model can work with.","Its makers say it focuses on losing no information, keeping tables, headers, footers, tables of contents and images. A \"vision\" mode uses AI models that can see images to read pages more accurately.","It can be used from Python code or run as a small web service."],"whoFor":"Developers building AI apps that need to read and understand documents.","useWithoutCoding":"Developers only","keywords":["pdf to text","document parser","read pdfs","word documents"],"rating":1.5,"tags":["New this week"],"owner":{"name":"The Vibe Company","githubUrl":"https://github.com/The-Vibe-Company"},"license":"Apache-2.0","stars":7415,"contributors":6,"monthlyDownloads":338,"lastPushedAt":"2026-10-15T11:49:36Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"annotated-deep-learning-paper-implementations","name":"labml.ai Annotated Paper Implementations","repo":"labmlai/annotated_deep_learning_paper_implementations","githubUrl":"https://github.com/labmlai/annotated_deep_learning_paper_implementations","homepage":"https://nn.labml.ai/","pageUrl":"/repo/annotated-deep-learning-paper-implementations","category":"Learning resources","tagline":"Explained, line-by-line code for dozens of well-known AI research papers, shown with notes side by side.","whatItDoes":["This collection rebuilds the ideas from many famous deep-learning papers in simple code, with explanations written next to each part. A companion website shows the code and notes side by side.","Topics include transformers (the design behind modern chat AI), diffusion models used for image generation, GANs, LoRA fine-tuning, reinforcement learning and more. Its makers say they add new implementations regularly."],"whoFor":"Students and engineers who want to understand how AI models work by reading clear, annotated code.","useWithoutCoding":"Yes","keywords":["learn deep learning","transformers explained","pytorch","research papers","tutorial"],"rating":1.5,"tags":[],"owner":{"name":"labml.ai","githubUrl":"https://github.com/labmlai"},"license":"MIT","stars":67572,"contributors":42,"monthlyDownloads":281,"lastPushedAt":"2026-01-22T04:26:00Z","sources":[{"site":"Hacker News","title":"Show HN: Collection of deep learning implementations with side-by-side notes","url":"https://news.ycombinator.com/item?id=25967641","date":"2021-01-30"},{"site":"Hacker News","title":"Regret Minimization in Games with Incomplete Information (CFR)","url":"https://news.ycombinator.com/item?id=27589717","date":"2021-06-22"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Visit the project's website to read each implementation with notes side by side.","Pick a topic, such as transformers or diffusion models, and follow the explanations."],"officialDownload":null},{"slug":"argos-translate","name":"Argos Translate","repo":"argosopentech/argos-translate","githubUrl":"https://github.com/argosopentech/argos-translate","homepage":"https://www.argosopentech.com/","pageUrl":"/repo/argos-translate","category":"Everyday tools","tagline":"Translates text between many languages offline, entirely on your own computer.","whatItDoes":["Argos Translate is a free translation tool that works without an internet connection once you've downloaded the languages you need. It can be used as a Python library, from the command line, or through a separate desktop app.","It supports dozens of languages, including Arabic, Chinese, French, German, Hindi, Japanese, Russian, Spanish and Swahili. If there's no direct translation between two languages, it can go through a third one, at some cost in quality.","It also powers LibreTranslate, a separate translation website and API built on top of it."],"whoFor":"Anyone who wants private, offline translation, and developers adding translation to their apps.","useWithoutCoding":"With some setup","keywords":["translate","offline translation","languages","private","google translate alternative"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Argos Open Tech","githubUrl":"https://github.com/argosopentech"},"license":"MIT","stars":6574,"contributors":35,"monthlyDownloads":266146,"lastPushedAt":"2026-08-08T12:09:57Z","sources":[{"site":"Hacker News","title":"Show HN: Argos Translate – Open-source offline translation app written in Python","url":"https://news.ycombinator.com/item?id=25477301","date":"2020-12-19"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Download the language pairs you need.","Translate text, with no internet needed once the languages are installed."],"officialDownload":null},{"slug":"pentestgpt","name":"PentestGPT","repo":"GreyDGL/PentestGPT","githubUrl":"https://github.com/GreyDGL/PentestGPT","homepage":null,"pageUrl":"/repo/pentestgpt","category":"AI agents","tagline":"An AI agent that helps security testers find weaknesses in systems and solve hacking practice challenges.","whatItDoes":["Penetration testing (pentesting) means experts are given permission to try to break into a system so its weaknesses can be fixed before real attackers find them. PentestGPT uses AI to help with this work and with capture-the-flag (CTF) challenges, practice puzzles used to build security skills.","The agent works in stages: gathering information, finding and testing weaknesses, and writing up what it found. It can run on its own using Claude Code or Codex, or in an interactive mode where a person guides several AI sessions step by step. It covers areas like web security, cryptography, reverse engineering and forensics.","The project grew out of a research paper presented at the USENIX Security conference in 2024. The README says it is for education and authorised security testing only, and that it collects anonymous usage data, which you can switch off."],"whoFor":"Security professionals, students and researchers doing authorised testing or CTF practice.","useWithoutCoding":"Developers only","keywords":["penetration testing","cybersecurity","ctf","ethical hacking","security"],"rating":1.5,"tags":["Research-backed"],"owner":{"name":"Gelei Deng","githubUrl":"https://github.com/GreyDGL"},"license":"MIT","stars":16010,"contributors":24,"monthlyDownloads":null,"lastPushedAt":"2026-07-14T12:58:31Z","sources":[{"site":"Research paper","title":"PentestGPT: Evaluating and Harnessing Large Language Models for Automated Penetration Testing","url":"https://www.usenix.org/conference/usenixsecurity24/presentation/deng","date":"2024-08-01"}],"checkedByPerson":true,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"claude-squad","name":"Claude Squad","repo":"smtg-ai/claude-squad","githubUrl":"https://github.com/smtg-ai/claude-squad","homepage":"https://smtg-ai.github.io/claude-squad/","pageUrl":"/repo/claude-squad","category":"Add-ons for AI coding tools","tagline":"Manage several AI coding agents at once from one terminal window.","whatItDoes":["Claude Squad is a terminal app that lets you run and manage several AI coding agents side by side, including Claude Code, Codex, Gemini and others.","Each agent works in its own separate copy of your project, so their changes do not clash, and you can review changes before keeping them.","It can run tasks in the background while you keep working in one window."],"whoFor":"Developers who juggle several AI coding agents and want them in one place.","useWithoutCoding":"With some setup","keywords":["ai coding","agents","terminal","workflow","developer tool"],"rating":1.5,"tags":["New this week"],"owner":{"name":"smtg-ai","githubUrl":"https://github.com/smtg-ai"},"license":"AGPL-3.0","stars":8621,"contributors":20,"monthlyDownloads":null,"lastPushedAt":"2026-08-20T05:09:53Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install it using the command shown for your system.","Run it in a terminal and create a new session for a coding agent."],"officialDownload":null},{"slug":"moneyprinter","name":"MoneyPrinter","repo":"FujiwaraChoki/MoneyPrinter","githubUrl":"https://github.com/FujiwaraChoki/MoneyPrinter","homepage":null,"pageUrl":"/repo/moneyprinter","category":"Images & video","tagline":"Makes short YouTube-style videos automatically from a topic you type in.","whatItDoes":["MoneyPrinter automates the making of YouTube Shorts, the short vertical videos on YouTube. You give it a video topic and it puts together a script, the video and its details.","Its makers say it is built around Ollama, a tool that runs AI models on your own computer, so the script writing and video details come from a local AI model you choose in its web page.","It uses a job queue with a database, which its makers say lets video jobs carry on safely after a restart."],"whoFor":"Hobbyists and video creators who are comfortable with some technical setup and want to experiment with automated short videos.","useWithoutCoding":"With some setup","keywords":["youtube shorts","video maker","automatic video","short videos"],"rating":1.5,"tags":["New this week"],"owner":{"name":"FujiwaraChoki","githubUrl":"https://github.com/FujiwaraChoki"},"license":"MIT","stars":14061,"contributors":28,"monthlyDownloads":null,"lastPushedAt":"2026-03-26T22:17:17Z","sources":[{"site":"Hacker News","title":"Automate the creation of YouTube Shorts by providing a topic","url":"https://news.ycombinator.com/item?id=39295526","date":"2024-02-07"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Install Ollama and download an AI model for it.","Set up MoneyPrinter using its setup script or the Docker guide in the project's docs.","Open the web page, pick your model and enter a video topic."],"officialDownload":null},{"slug":"tech-leads-club-agent-skills","name":"Agent Skills","repo":"tech-leads-club/agent-skills","githubUrl":"https://github.com/tech-leads-club/agent-skills","homepage":"https://agent-skills.techleads.club/","pageUrl":"/repo/tech-leads-club-agent-skills","category":"Add-ons for AI coding tools","tagline":"A checked library of add-on skills for AI coding assistants like Claude Code and Cursor.","whatItDoes":["Skills are packaged instructions that teach an AI coding assistant new workflows. This project offers a curated catalogue, for planning, cloud, design, browser automation and more.","Its makers say every skill is open source and checked automatically, and an interactive installer adds them to many coding assistants."],"whoFor":"Programmers who use AI coding assistants.","useWithoutCoding":"Developers only","keywords":["agent skills","claude code","cursor","coding assistant plugins"],"rating":1.5,"tags":["New this week"],"owner":{"name":"TechLeads.club 💎","githubUrl":"https://github.com/tech-leads-club"},"license":"NOASSERTION","stars":7071,"contributors":18,"monthlyDownloads":3157,"lastPushedAt":"2026-10-16T20:17:00Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Run the project's interactive installer from a terminal.","Pick the skills and the coding assistant you use."],"officialDownload":null},{"slug":"emotivoice","name":"EmotiVoice","repo":"netease-youdao/EmotiVoice","githubUrl":"https://github.com/netease-youdao/EmotiVoice","homepage":null,"pageUrl":"/repo/emotivoice","category":"Speech & audio","tagline":"Turns written text into speech in English or Chinese, with many voices and emotions like happy or sad.","whatItDoes":["EmotiVoice is a free text-to-speech engine: you type text and it reads it aloud. It speaks English and Chinese and, according to its makers, offers over 2,000 voices.","Its main feature is emotion. You can ask for speech that sounds happy, excited, sad, angry and more. It comes with a simple web page for trying it, plus tools for making many clips at once.","There is a Mac app, a version that runs on your own computer, and an online API from its makers. The project also explains how to train it on recordings of a person's voice."],"whoFor":"Video makers, app builders and anyone who needs expressive English or Chinese voiceovers.","useWithoutCoding":"With some setup","keywords":["text to speech","voiceover","emotional voice","chinese tts","read aloud"],"rating":1.5,"tags":["New this week"],"owner":{"name":"NetEase Youdao","githubUrl":"https://github.com/netease-youdao"},"license":"Apache-2.0","stars":8542,"contributors":13,"monthlyDownloads":null,"lastPushedAt":"2026-09-03T08:30:35Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["On a Mac, download the EmotiVoice app from the project's releases page.","On other computers with an NVIDIA graphics card, run the ready-made Docker image and open the web page it starts.","Type your text, pick a voice and an emotion, and generate the speech."],"officialDownload":"https://github.com/netease-youdao/EmotiVoice/releases"},{"slug":"ml-nlp","name":"ML-NLP","repo":"NLP-LOVE/ML-NLP","githubUrl":"https://github.com/NLP-LOVE/ML-NLP","homepage":"http://era.dx3906.info/","pageUrl":"/repo/ml-nlp","category":"Learning resources","tagline":"Chinese-language study notes and code on machine learning and language AI, built for job interviews.","whatItDoes":["This is a set of study notes, in Chinese, covering topics that often come up in job interviews for machine learning and language AI roles. It's organised into chapters on classic machine learning, deep learning and natural language processing (getting computers to work with human language).","Each chapter explains the ideas, lists likely interview questions and ends with a code example. Topics range from linear regression and decision trees to neural networks and language models."],"whoFor":"Chinese-speaking students and job seekers preparing for AI and data roles.","useWithoutCoding":"Yes","keywords":["interview prep","machine learning","nlp","study notes","chinese"],"rating":1.5,"tags":[],"owner":{"name":"Stark","githubUrl":"https://github.com/NLP-LOVE"},"license":null,"stars":17835,"contributors":2,"monthlyDownloads":null,"lastPushedAt":"2026-01-09T15:16:21Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"spleeter","name":"Spleeter","repo":"deezer/spleeter","githubUrl":"https://github.com/deezer/spleeter","homepage":"https://research.deezer.com/projects/spleeter.html","pageUrl":"/repo/spleeter","category":"Speech & audio","tagline":"Splits a song into separate tracks, such as vocals, drums, bass and piano.","whatItDoes":["Spleeter, from the music service Deezer, separates a recorded song into its parts. It can split it into two tracks (vocals and music), four (vocals, drums, bass, other) or five (adding piano).","It comes with already-trained AI models, so you can use it straight away. Its makers say it is very fast on a computer with a graphics card.","Its makers say its models are used inside several professional audio and DJ apps. It can be used from the command line, from Python code, with Docker, or tried online in Google Colab."],"whoFor":"Musicians, DJs, karaoke fans, audio researchers and developers.","useWithoutCoding":"With some setup","keywords":["vocal remover","karaoke","stems","music separation","isolate vocals"],"rating":1.5,"tags":["Research-backed"],"owner":{"name":"Deezer","githubUrl":"https://github.com/deezer"},"license":"MIT","stars":28499,"contributors":22,"monthlyDownloads":8511,"lastPushedAt":"2026-06-18T15:22:32Z","sources":[{"site":"Research paper","title":"Spleeter: a fast and efficient music source separation tool with pre-trained models","url":"https://doi.org/10.21105/joss.02154","date":"2020-01-01"},{"site":"Hacker News","title":"Spleeter: Extract voice, piano, drums, etc. from any music track","url":"https://news.ycombinator.com/item?id=21431071","date":"2019-11-03"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Mac","Windows","Cloud"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Try it without installing anything using the project's Google Colab notebook.","Or install ffmpeg and libsndfile, then install Spleeter with Python's package installer.","Give it a song and it saves the vocals and the backing music as separate files."],"officialDownload":null},{"slug":"real-time-voice-cloning","name":"Real-Time Voice Cloning","repo":"CorentinJ/Real-Time-Voice-Cloning","githubUrl":"https://github.com/CorentinJ/Real-Time-Voice-Cloning","homepage":null,"pageUrl":"/repo/real-time-voice-cloning","category":"Speech & audio","tagline":"A research project that turns typed text into speech in a voice learned from a few seconds of audio.","whatItDoes":["This project builds on a 2018 research paper. It makes a digital fingerprint of a voice from a short recording, then uses it to read out any text you type. It includes a simple desktop toolbox for trying it.","The author notes the project has aged, that many paid services now sound better, and points to newer open projects for higher quality."],"whoFor":"Students and researchers interested in how speech synthesis works.","useWithoutCoding":"With some setup","keywords":["text to speech","voice","speech synthesis","tts"],"rating":1.5,"tags":["Research-backed"],"owner":{"name":"Corentin Jemine","githubUrl":"https://github.com/CorentinJ"},"license":"NOASSERTION","stars":60197,"contributors":20,"monthlyDownloads":null,"lastPushedAt":"2026-03-09T10:31:58Z","sources":[{"site":"Research paper","title":"Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis","url":"https://arxiv.org/abs/1806.04558","date":"2018-06-01"},{"site":"Hacker News","title":"CorentinJ: Real-Time Voice Cloning (2021)","url":"https://news.ycombinator.com/item?id=45239016","date":"2025-09-14"},{"site":"Hacker News","title":"Clone a voice in 5 seconds to generate arbitrary speech in real time","url":"https://news.ycombinator.com/item?id=20752548","date":"2019-08-20"}],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Linux"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install the ffmpeg audio tool and the uv Python tool.","Start the toolbox, choosing the graphics card or ordinary processor option for your computer.","Give it a few seconds of a voice, then type text for it to speak."],"officialDownload":null},{"slug":"laya-mlx","name":"Laya-MLX","repo":"mizorewww/laya-mlx","githubUrl":"https://github.com/mizorewww/laya-mlx","homepage":"https://pypi.org/project/laya-mlx/","pageUrl":"/repo/laya-mlx","category":"Developer building blocks","tagline":"Runs small, fast AI decision models on Apple Silicon Macs, picking answers from set choices without writing text.","whatItDoes":["Laya-MLX runs 'typed decision' models on Macs with Apple chips. Instead of writing text, the model picks an answer from options you define, such as which department should handle a support message.","Its makers report decisions in a few thousandths of a second on a high-end Mac. After the model is downloaded once, it works fully on your computer.","A small Snake game demo shows the model making a decision for every move."],"whoFor":"Developers on Apple Silicon Macs who need quick, local sorting and decision-making.","useWithoutCoding":"Developers only","keywords":["apple silicon","local ai","mac","classification","mlx"],"rating":1.5,"tags":["New this week"],"owner":{"name":"mizorewww","githubUrl":"https://github.com/mizorewww"},"license":"Apache-2.0","stars":6969,"contributors":1,"monthlyDownloads":14385,"lastPushedAt":"2026-10-10T01:40:05Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"pocketflow","name":"Pocket Flow","repo":"The-Pocket/PocketFlow","githubUrl":"https://github.com/The-Pocket/PocketFlow","homepage":"https://the-pocket.github.io/PocketFlow/","pageUrl":"/repo/pocketflow","category":"Developer building blocks","tagline":"A tiny code framework for building AI agents and workflows.","whatItDoes":["Pocket Flow is a very small framework, about 100 lines of code, for building apps that use AI language models.","It models everything as a simple graph of steps, which its makers say is enough to build common patterns like agents, workflows and question-answering over documents.","Because it is so small and has no extra dependencies, you can copy the code directly into your own project."],"whoFor":"Developers who want a minimal, no-frills base for building AI agents and workflows.","useWithoutCoding":"Developers only","keywords":["llm framework","agents","workflow","minimal","python"],"rating":1.5,"tags":["New this week"],"owner":{"name":"The Pocket","githubUrl":"https://github.com/The-Pocket"},"license":"MIT","stars":11259,"contributors":28,"monthlyDownloads":25500,"lastPushedAt":"2026-07-26T16:13:20Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"pyprobml","name":"pyprobml","repo":"probml/pyprobml","githubUrl":"https://github.com/probml/pyprobml","homepage":null,"pageUrl":"/repo/pyprobml","category":"Learning resources","tagline":"Python notebooks that recreate the figures from Kevin Murphy's \"Probabilistic Machine Learning\" textbooks.","whatItDoes":["This repository holds the code behind the figures in two well-known textbooks: Probabilistic Machine Learning: An Introduction, and its follow-up on advanced topics.","The code is in notebooks, documents that mix explanation and runnable code. They use standard Python tools, plus JAX, TensorFlow and PyTorch in places.","You can run them in your browser with Google Colab or on your own computer. The README says the code has been in maintenance mode since September 2022."],"whoFor":"Students and self-learners working through the books who want to see and change the code behind each figure.","useWithoutCoding":"Developers only","keywords":["machine learning book","textbook","notebooks","probability","learn ai"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Probabilistic machine learning","githubUrl":"https://github.com/probml"},"license":"MIT","stars":7169,"contributors":67,"monthlyDownloads":null,"lastPushedAt":"2026-02-26T17:43:52Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the notebook collection from the project page and pick a chapter.","Run a notebook in Google Colab in your browser, which has most of the tools already installed."],"officialDownload":null},{"slug":"awesome-gpt-image-2-prompts","name":"Awesome GPT Image 2 Prompts","repo":"Evolink-AI/awesome-gpt-image-2-API-Prompts","githubUrl":"https://github.com/Evolink-AI/awesome-gpt-image-2-API-Prompts","homepage":"https://evolink.ai/gpt-image-2-prompts","pageUrl":"/repo/awesome-gpt-image-2-prompts","category":"Learning resources","tagline":"A collection of example prompts for creating and editing images with OpenAI's GPT Image 2 model.","whatItDoes":["This is a library of hundreds of example prompts for GPT Image 2, grouped by use such as posters, portraits, ads and app designs. You copy a prompt, adjust it, and use it with the image model.","Each example keeps credit to its original creator where available. The list links to the maintainer's own service for trying prompts, but the prompts can be used anywhere the model is available."],"whoFor":"Designers, marketers and anyone making images with AI.","useWithoutCoding":"Yes","keywords":["image prompts","ai art","gpt image","image generation"],"rating":1.5,"tags":[],"owner":{"name":"Evolink.AI","githubUrl":"https://github.com/Evolink-AI"},"license":"CC0-1.0","stars":17321,"contributors":1,"monthlyDownloads":null,"lastPushedAt":"2026-07-18T06:23:28Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Browse the prompt categories and choose an example close to what you want.","Copy the full prompt text and try it with GPT Image 2.","Adjust the details, style or layout and save the version that works for you."],"officialDownload":null},{"slug":"dream-textures","name":"Dream Textures","repo":"carson-katri/dream-textures","githubUrl":"https://github.com/carson-katri/dream-textures","homepage":null,"pageUrl":"/repo/dream-textures","category":"3D & design","tagline":"Adds Stable Diffusion image generation to Blender for textures, concept art and scenes.","whatItDoes":["Dream Textures is an add-on for Blender, the free 3D program. Type a text description and it creates textures, concept art or background images with the Stable Diffusion AI model.","It can make textures that tile seamlessly, paint whole 3D scenes using depth, restyle animations, fill in or extend images, and upscale results.","The models run on your own computer; the README recommends a graphics card with over 4 GB of memory, and mentions a cloud option for unsupported hardware."],"whoFor":"3D artists and hobbyists who use Blender.","useWithoutCoding":"Yes","keywords":["blender","textures","3d art","stable diffusion","concept art"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Carson Katri","githubUrl":"https://github.com/carson-katri"},"license":"GPL-3.0","stars":8223,"contributors":14,"monthlyDownloads":null,"lastPushedAt":"2026-09-17T11:34:23Z","sources":[{"site":"Hacker News","title":"AI Seamless Texture Generator Built-In to Blender","url":"https://news.ycombinator.com/item?id=32900797","date":"2022-09-19"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the latest release of the add-on from the project's GitHub releases page.","Follow the release instructions to install it in Blender.","Type a text prompt in the add-on to create your first texture."],"officialDownload":"https://github.com/carson-katri/dream-textures/releases/latest"},{"slug":"dev-browser","name":"dev-browser","repo":"SawyerHood/dev-browser","githubUrl":"https://github.com/SawyerHood/dev-browser","homepage":null,"pageUrl":"/repo/dev-browser","category":"Add-ons for AI coding tools","tagline":"Lets AI coding agents control a Chrome browser to open pages, click around and check results.","whatItDoes":["dev-browser gives AI coding agents, such as Claude Code, a way to use a real Chrome browser through short scripts.","The browser stays open between steps, so the agent can visit a page, look at it, act on it and check what happened without starting over. It gives the agent a compact text view of each page.","It can start a separate browser profile or connect to one you already have open. The README notes that its scripts are not run in a security sandbox."],"whoFor":"Developers who want their AI coding agent to test or use websites.","useWithoutCoding":"Developers only","keywords":["browser automation","claude code skill","web testing","ai browser"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Sawyer Hood","githubUrl":"https://github.com/SawyerHood"},"license":"MIT","stars":6669,"contributors":4,"monthlyDownloads":45016,"lastPushedAt":"2026-10-18T22:53:03Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"internlm","name":"InternLM","repo":"InternLM/InternLM","githubUrl":"https://github.com/InternLM/InternLM","homepage":"https://internlm.readthedocs.io/","pageUrl":"/repo/internlm","category":"AI models & research","tagline":"A family of openly released AI language models that chat, reason and handle Chinese and English.","whatItDoes":["InternLM is a series of large language models, the kind of AI behind chatbots, released openly in several versions and sizes. The newest listed, InternLM3, is a mid-sized model aimed at general use and step-by-step reasoning.","Its makers say it performs strongly on reasoning and knowledge tasks while costing much less to train than similar models. It can switch between a \"deep thinking\" mode for hard problems and a normal mode for everyday chat.","Models can be downloaded from Hugging Face and similar sites. Some versions can handle very long documents, and there are related reward models used to train chatbots."],"whoFor":"Developers and researchers who want an open model to run, study or build on.","useWithoutCoding":"Developers only","keywords":["language model","open source llm","chinese ai","chatbot","reasoning"],"rating":1.5,"tags":["Research-backed","New this week"],"owner":{"name":"InternLM","githubUrl":"https://github.com/InternLM"},"license":"Apache-2.0","stars":7278,"contributors":63,"monthlyDownloads":null,"lastPushedAt":"2025-10-30T00:35:43Z","sources":[{"site":"Research paper","title":"InternLM2 Technical Report","url":"https://arxiv.org/abs/2403.17297","date":"2024-03-01"},{"site":"Hacker News","title":"InternLM – new open source 7B LLM","url":"https://news.ycombinator.com/item?id=36612306","date":"2023-07-06"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"abogen","name":"Abogen","repo":"denizsafak/abogen","githubUrl":"https://github.com/denizsafak/abogen","homepage":"https://pypi.org/project/abogen/","pageUrl":"/repo/abogen","category":"Speech & audio","tagline":"Turns e-books, PDFs and text files into audiobooks with matching subtitles.","whatItDoes":["Abogen reads EPUB e-books, PDFs, plain text, markdown and subtitle files aloud using AI text-to-speech, and saves the result as audio. It also creates subtitles that line up with the speech.","It can be used for audiobooks or voiceovers for videos. You can pick a voice or mix voices to create a custom one. It has a desktop window and a web interface."],"whoFor":"Readers, students and content creators who want spoken versions of written material.","useWithoutCoding":"With some setup","keywords":["audiobook maker","text to speech","epub to audio","pdf to audio","voiceover"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Deniz Şafak","githubUrl":"https://github.com/denizsafak"},"license":"MIT","stars":6131,"contributors":22,"monthlyDownloads":1131,"lastPushedAt":"2026-10-17T15:41:21Z","sources":[{"site":"Hacker News","title":"Abogen – Generate audiobooks from EPUBs, PDFs and text","url":"https://news.ycombinator.com/item?id=44853064","date":"2025-08-10"}],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Mac","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install the free speech tool espeak-ng for your computer.","Open Abogen, choose a file and a voice, and start the conversion."],"officialDownload":"https://github.com/denizsafak/abogen/releases"},{"slug":"leedl-tutorial","name":"LeeDL Tutorial","repo":"datawhalechina/leedl-tutorial","githubUrl":"https://github.com/datawhalechina/leedl-tutorial","homepage":null,"pageUrl":"/repo/leedl-tutorial","category":"Learning resources","tagline":"A free deep-learning textbook in Chinese, based on Professor Hung-yi Lee's popular lecture course.","whatItDoes":["This tutorial, nicknamed the \"Apple Book\", is based on Professor Hung-yi Lee's machine learning course at National Taiwan University, a well-known set of Chinese-language video lectures on deep learning.","The authors selected and reworked the main content, added step-by-step working for every formula, and gave extra explanation for harder topics. Subjects include training tips, CNNs, self-attention and transformers, GANs, diffusion models, BERT, reinforcement learning and model compression.","A free PDF draft is available to download, and an edited version is published as a printed book. The content is in Chinese."],"whoFor":"Chinese-speaking students and self-learners who want a clear, thorough introduction to deep learning.","useWithoutCoding":"Yes","keywords":["deep learning","textbook","chinese","free pdf","machine learning course"],"rating":1.5,"tags":[],"owner":{"name":"Datawhale","githubUrl":"https://github.com/datawhalechina"},"license":"NOASSERTION","stars":16815,"contributors":16,"monthlyDownloads":null,"lastPushedAt":"2025-11-23T09:12:43Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Download the free PDF of the book from the project's releases page.","Read the chapters, which are written in Chinese.","Try the matching exercises in the project's Homework folder."],"officialDownload":"https://github.com/datawhalechina/leedl-tutorial/releases"},{"slug":"5ire","name":"5ire","repo":"nanbingxyz/5ire","githubUrl":"https://github.com/nanbingxyz/5ire","homepage":"https://5ire.app/","pageUrl":"/repo/5ire","category":"Chat assistants","tagline":"A desktop AI assistant that works with many AI providers, your own documents and add-on tools.","whatItDoes":["5ire (said \"fire\") is a desktop chat app that connects to many AI services, including OpenAI, Anthropic, Google, Mistral, DeepSeek and local models through Ollama.","It can search your own Word, Excel, PowerPoint, PDF and text files using a built-in model that runs on your computer. Through MCP (a standard way to connect AI to outside tools) it can also reach files, databases and other services.","It tracks how much you spend on AI services, and has a prompt library, bookmarks and search across conversations."],"whoFor":"People who want one desktop app to chat with different AI models and their own documents.","useWithoutCoding":"Yes","keywords":["ai desktop app","chat with documents","mcp client","multi-model chat"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Ironben","githubUrl":"https://github.com/nanbingxyz"},"license":"NOASSERTION","stars":5373,"contributors":34,"monthlyDownloads":null,"lastPushedAt":"2026-09-14T08:44:36Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download 5ire from the project's GitHub releases page and install it.","Add an AI provider or a local model in its settings and start chatting."],"officialDownload":"https://github.com/nanbingxyz/5ire/releases/latest"},{"slug":"made-with-ml","name":"Made With ML","repo":"GokuMohandas/Made-With-ML","githubUrl":"https://github.com/GokuMohandas/Made-With-ML","homepage":"https://madewithml.com/","pageUrl":"/repo/made-with-ml","category":"Learning resources","tagline":"A course on building, launching and improving real-world machine learning systems, not just experiments.","whatItDoes":["Made With ML is a course that shows how to take a machine learning project from an idea to a working product. It covers testing, tracking, serving a model to users, and automatically retraining it.","It starts from first principles before showing code, and mixes in software-engineering habits. It also teaches how to scale work across many computers.","The lessons are on the course website, and this repository holds the code that goes with them."],"whoFor":"Developers, data scientists, recent graduates and technical managers who want practical, industry-style skills.","useWithoutCoding":"Developers only","keywords":["mlops","machine learning course","deploy models","learn"],"rating":1.5,"tags":[],"owner":{"name":"Goku Mohandas","githubUrl":"https://github.com/GokuMohandas"},"license":"MIT","stars":49768,"contributors":1,"monthlyDownloads":null,"lastPushedAt":"2026-03-04T23:44:21Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser","Mac","Windows","Cloud"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Read the lessons on the course website.","Set up the course code on your own laptop, or in a cloud workspace such as Anyscale.","Work through the notebook first, then the cleaner scripts for training and deployment."],"officialDownload":null},{"slug":"silero-models","name":"Silero Models","repo":"snakers4/silero-models","githubUrl":"https://github.com/snakers4/silero-models","homepage":null,"pageUrl":"/repo/silero-models","category":"Speech & audio","tagline":"Ready-made text-to-speech voices in many languages that are simple to use and run on ordinary computers.","whatItDoes":["Silero Models provides pre-trained text-to-speech models, which turn written text into spoken audio. Its makers say the voices sound natural and that the models run fast even without a graphics card.","There is a large library of voices covering Russian and many other languages from the former Soviet region, Turkic and Caucasian languages, Indian languages and more. For Russian it adds word stress automatically.","Models download automatically when first used, and can be used through Python."],"whoFor":"Developers and researchers who need text-to-speech, especially for languages less covered by other tools.","useWithoutCoding":"Developers only","keywords":["text to speech","tts","voice","russian","read aloud"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Alexander Veysov","githubUrl":"https://github.com/snakers4"},"license":"NOASSERTION","stars":6137,"contributors":15,"monthlyDownloads":23713,"lastPushedAt":"2026-10-15T11:47:38Z","sources":[{"site":"Hacker News","title":"Silero V3: fast high-quality text-to-speech in 20 languages with 173 voices","url":"https://news.ycombinator.com/item?id=31807201","date":"2022-06-20"}],"checkedByPerson":false,"cost":null,"runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"higgsfield","name":"Higgsfield","repo":"higgsfield-ai/higgsfield","githubUrl":"https://github.com/higgsfield-ai/higgsfield","homepage":null,"pageUrl":"/repo/higgsfield","category":"Training & fine-tuning","tagline":"Software for training very large AI models across many GPU servers without constant manual setup.","whatItDoes":["Training the biggest AI models takes many powerful computers working together. Higgsfield manages those machines: it shares them between users, queues experiments and keeps training running if something fails.","It supports common methods for splitting huge models across machines, and it connects to GitHub so code changes are deployed and experiments launched automatically.","It needs Ubuntu servers with remote access. The makers say they have tested it on several cloud GPU providers."],"whoFor":"Machine-learning engineers training large models on clusters of GPU servers.","useWithoutCoding":"Developers only","keywords":["distributed training","gpu cluster","llm training","machine learning"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Higgsfield Inc.","githubUrl":"https://github.com/higgsfield-ai"},"license":"Apache-2.0","stars":6086,"contributors":4,"monthlyDownloads":529,"lastPushedAt":"2026-10-07T09:32:03Z","sources":[{"site":"Hacker News","title":"Higgsfield: Distributed LLM training and cluster management framework","url":"https://news.ycombinator.com/item?id=37954832","date":"2023-10-20"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Server","Cloud"],"hardware":"Made for servers or data centres","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"nano-vllm","name":"Nano-vLLM","repo":"GeeeekExplorer/nano-vllm","githubUrl":"https://github.com/GeeeekExplorer/nano-vllm","homepage":null,"pageUrl":"/repo/nano-vllm","category":"Running AI at scale","tagline":"A small, easy-to-read version of the vLLM engine that runs AI language models quickly.","whatItDoes":["vLLM is popular software for running AI language models efficiently, so they produce text fast. Nano-vLLM rebuilds the same idea from scratch in about 1,200 lines of Python, making it much easier to study.","Its makers say it runs at speeds comparable to vLLM, and it includes several of the same speed-up techniques."],"whoFor":"Engineers and students who want to understand how fast AI model serving works, or need a lightweight engine.","useWithoutCoding":"Developers only","keywords":["llm inference","vllm","fast","learn","python"],"rating":1.5,"tags":[],"owner":{"name":"Xingkai Yu","githubUrl":"https://github.com/GeeeekExplorer"},"license":"MIT","stars":15958,"contributors":15,"monthlyDownloads":null,"lastPushedAt":"2026-04-26T05:10:12Z","sources":[{"site":"Hacker News","title":"Nano-Vllm: Lightweight vLLM implementation built from scratch","url":"https://news.ycombinator.com/item?id=44352615","date":"2025-06-23"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"aichat","name":"AIChat","repo":"sigoden/aichat","githubUrl":"https://github.com/sigoden/aichat","homepage":null,"pageUrl":"/repo/aichat","category":"Chat assistants","tagline":"Chat with many AI models from your computer's command line, and turn plain requests into terminal commands.","whatItDoes":["AIChat lets you talk to AI models from the terminal, the text window programmers use to control a computer. It connects to more than 20 providers, such as OpenAI, Claude, Gemini and Ollama for local models.","You can ask one-off questions or hold a running chat. A shell assistant turns a plain description of a task into the right terminal command for your system.","It can also read files, folders and web pages, answer questions about your own documents and use outside tools."],"whoFor":"People comfortable with the terminal who want quick access to many AI models in one place.","useWithoutCoding":"With some setup","keywords":["terminal","command line","chatgpt","shell assistant"],"rating":1.5,"tags":["New this week"],"owner":{"name":"sigoden","githubUrl":"https://github.com/sigoden"},"license":"Apache-2.0","stars":10504,"contributors":35,"monthlyDownloads":null,"lastPushedAt":"2026-02-23T11:16:42Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the ready-made program for your computer from the project's releases page, or install it with a package manager.","Set up the AI provider you want to use, or a local model through Ollama.","Open a terminal and start chatting."],"officialDownload":"https://github.com/sigoden/aichat/releases"},{"slug":"llmforeverybody","name":"LLMForEverybody","repo":"luhengshiwo/LLMForEverybody","githubUrl":"https://github.com/luhengshiwo/LLMForEverybody","homepage":"https://www.learnllm.ai/","pageUrl":"/repo/llmforeverybody","category":"Learning resources","tagline":"Chinese-language study material on large AI models, including key papers, videos and interview questions.","whatItDoes":["LLMForEverybody is a Chinese-language learning resource about large language models. It lists landmark AI papers in date order, from the original Transformer onward, with short explanations and video lessons.","It also points to a companion website with interview questions for AI jobs and paid courses on topics like AI agents, document search and fine-tuning."],"whoFor":"Chinese-speaking students and developers learning about AI or preparing for AI job interviews.","useWithoutCoding":"Yes","keywords":["learn ai","ai papers","interview","chinese","course"],"rating":1.5,"tags":["New this week"],"owner":{"name":"陆恒","githubUrl":"https://github.com/luhengshiwo"},"license":"Apache-2.0","stars":7459,"contributors":6,"monthlyDownloads":null,"lastPushedAt":"2026-08-28T08:11:48Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the paper list on the project page and start with the earliest paper and its video."],"officialDownload":null},{"slug":"kubectl-ai","name":"kubectl-ai","repo":"GoogleCloudPlatform/kubectl-ai","githubUrl":"https://github.com/GoogleCloudPlatform/kubectl-ai","homepage":null,"pageUrl":"/repo/kubectl-ai","category":"AI agents","tagline":"Lets engineers manage Kubernetes server clusters by describing what they want in plain language.","whatItDoes":["Kubernetes is widely used software for running apps across many servers, and it is known for being complex. kubectl-ai is an assistant that turns plain-language requests, like \"check the logs for my app\", into the right Kubernetes operations.","It uses Gemini by default but also supports other AI services and local models through Ollama or llama.cpp. It can also work as an MCP server or client, so it can connect with other AI tools."],"whoFor":"Engineers and administrators who look after Kubernetes systems.","useWithoutCoding":"Developers only","keywords":["kubernetes","devops","command line","cloud","assistant"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Google Cloud Platform","githubUrl":"https://github.com/GoogleCloudPlatform"},"license":"Apache-2.0","stars":7590,"contributors":53,"monthlyDownloads":null,"lastPushedAt":"2026-07-15T19:33:23Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Linux","Windows"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"failproofai","name":"Failproof AI","repo":"FailproofAI/failproofai","githubUrl":"https://github.com/FailproofAI/failproofai","homepage":"https://befailproof.ai/","pageUrl":"/repo/failproofai","category":"AI testing & safety","tagline":"Watches what AI agents do on your computer and blocks risky actions before they happen.","whatItDoes":["Failproof AI hooks into AI agent tools such as Claude Code, Codex and OpenClaw. It records each run and checks every action the agent tries against a set of rules.","Rules can block things like reading secret files, deleting folders, risky database commands or pushing code straight to the main branch. You can choose from built-in rules or write your own.","A local dashboard shows what each agent did and what was blocked. Its makers say this history stays on your machine."],"whoFor":"Developers and teams who run AI coding agents and want guardrails and a record of their actions.","useWithoutCoding":"Developers only","keywords":["ai agent safety","guardrails","claude code hooks","agent monitoring"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Failproof AI","githubUrl":"https://github.com/FailproofAI"},"license":"NOASSERTION","stars":5818,"contributors":15,"monthlyDownloads":8529,"lastPushedAt":"2026-10-16T13:20:31Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"llm-interview-note","name":"LLMs Interview Notes","repo":"wdndev/llm_interview_note","githubUrl":"https://github.com/wdndev/llm_interview_note","homepage":"https://wdndev.github.io/llm_interview_note","pageUrl":"/repo/llm-interview-note","category":"Learning resources","tagline":"Study notes and interview questions on how large language models work, written in Chinese.","whatItDoes":["This is a collection of notes and interview questions for people preparing for jobs working on large language models. It is written in Chinese.","Topics run from basics like splitting text into words and word meanings, through the Transformer design behind modern models, to training data and training across many machines. The author also links small hands-on projects for building a tiny model and simple AI tools from scratch."],"whoFor":"Chinese-speaking students and engineers preparing for AI jobs.","useWithoutCoding":"Yes","keywords":["llm interview","study notes","learn ai","chinese"],"rating":1.5,"tags":[],"owner":{"name":"Firefly","githubUrl":"https://github.com/wdndev"},"license":null,"stars":15255,"contributors":10,"monthlyDownloads":null,"lastPushedAt":"2026-06-14T14:57:07Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the online reading version of the notes in your web browser.","Keep in mind that the notes are written in Chinese."],"officialDownload":null},{"slug":"mmaction2","name":"MMAction2","repo":"open-mmlab/mmaction2","githubUrl":"https://github.com/open-mmlab/mmaction2","homepage":"https://mmaction2.readthedocs.io/","pageUrl":"/repo/mmaction2","category":"Developer building blocks","tagline":"A research toolbox for teaching AI to recognise actions and activities in videos.","whatItDoes":["MMAction2 is an open-source toolbox for video understanding, such as recognising what action is happening in a clip. It is part of the OpenMMLab project and built on PyTorch.","It includes many published models and pretrained versions, and covers tasks like action recognition, finding when an action happens, and recognising actions from body skeletons."],"whoFor":"Computer vision researchers and developers working with video.","useWithoutCoding":"Developers only","keywords":["video recognition","action recognition","computer vision","pytorch"],"rating":1.5,"tags":["New this week"],"owner":{"name":"OpenMMLab","githubUrl":"https://github.com/open-mmlab"},"license":"Apache-2.0","stars":5178,"contributors":85,"monthlyDownloads":null,"lastPushedAt":"2026-03-18T04:04:49Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"talk-to-figma-mcp","name":"Talk to Figma MCP","repo":"grab/cursor-talk-to-figma-mcp","githubUrl":"https://github.com/grab/cursor-talk-to-figma-mcp","homepage":"https://www.figma.com/community/plugin/1485687494525374295/cursor-talk-to-figma-mcp-plugin","pageUrl":"/repo/talk-to-figma-mcp","category":"Add-ons for AI coding tools","tagline":"Connects AI agents like Cursor and Claude Code to Figma so they can read and change your designs.","whatItDoes":["This project links AI coding agents to Figma, the design tool, through MCP (Model Context Protocol, a standard way for AI to use outside tools). A Figma plugin and a small connection server carry messages between them.","The AI can read your document and selection, create shapes, frames and text, change content in bulk, add notes, and copy settings across many component copies.","Its makers say this cuts down on repetitive design work."],"whoFor":"Designers and developers who want an AI agent to inspect or edit Figma files for them.","useWithoutCoding":"With some setup","keywords":["figma ai","design automation","cursor","mcp"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Grab","githubUrl":"https://github.com/grab"},"license":"MIT","stars":7060,"contributors":7,"monthlyDownloads":null,"lastPushedAt":"2026-07-26T07:14:26Z","sources":[{"site":"Hacker News","title":"How to build a plugin system on the web and also sleep well at night","url":"https://news.ycombinator.com/item?id=20770105","date":"2019-08-22"},{"site":"Hacker News","title":"How Figma's databases team lived to tell the scale","url":"https://news.ycombinator.com/item?id=39706968","date":"2024-03-14"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Install the Bun tool and run the project's setup, which adds it to Cursor.","Start its connection server and install the Figma plugin from the Figma community page.","In Figma, run the plugin and join a channel, then ask your AI agent to read or change the design."],"officialDownload":null},{"slug":"mcp-ui","name":"MCP-UI","repo":"MCP-UI-Org/mcp-ui","githubUrl":"https://github.com/MCP-UI-Org/mcp-ui","homepage":"https://mcpui.dev/","pageUrl":"/repo/mcp-ui","category":"Developer building blocks","tagline":"A developer kit for showing interactive screens, not just text, inside AI apps that use MCP.","whatItDoes":["MCP-UI is a software kit that lets AI tools built with MCP, a standard for connecting AI apps to tools, send interactive web interfaces along with their answers.","It provides packages for both sides: one to create the interface on the tool side, and one to display it inside the AI app. Versions are offered for TypeScript, Python and Ruby.","Its makers say the ideas it pioneered shaped the official MCP Apps standard, which these packages follow."],"whoFor":"Developers building MCP tools or AI apps that want rich, interactive results.","useWithoutCoding":"Developers only","keywords":["mcp","interactive ai","ui","ai widgets"],"rating":1.5,"tags":["New this week"],"owner":{"name":"MCP-UI","githubUrl":"https://github.com/MCP-UI-Org"},"license":"Apache-2.0","stars":5221,"contributors":20,"monthlyDownloads":571110,"lastPushedAt":"2026-09-16T22:07:42Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"amphion","name":"Amphion","repo":"open-mmlab/Amphion","githubUrl":"https://github.com/open-mmlab/Amphion","homepage":"https://openhlt.github.io/amphion/","pageUrl":"/repo/amphion","category":"Speech & audio","tagline":"A research toolkit for making speech, singing, music and sound with AI.","whatItDoes":["Amphion is a toolkit for research on AI-made audio. It covers turning text into speech, making singing voices, changing one voice to sound like another, changing accents and turning text into sound effects. Text-to-music is in development.","It also includes vocoders (the part that turns model output into real sound), ways to measure audio quality, and large speech datasets. Its makers say it aims to help newer researchers get started in this field."],"whoFor":"Researchers and engineers studying speech and audio generation.","useWithoutCoding":"Developers only","keywords":["text to speech","voice conversion","singing voice","audio generation","speech research"],"rating":1.5,"tags":["Research-backed","New this week"],"owner":{"name":"OpenMMLab","githubUrl":"https://github.com/open-mmlab"},"license":"MIT","stars":10312,"contributors":32,"monthlyDownloads":null,"lastPushedAt":"2026-03-25T14:11:57Z","sources":[{"site":"Research paper","title":"Amphion: An Open-Source Audio, Music, and Speech Generation Toolkit","url":"https://arxiv.org/abs/2312.09911","date":"2023-12-01"},{"site":"Research paper","title":"Amphion v0.2 Technical Report","url":"https://arxiv.org/abs/2501.15442","date":"2025-01-01"},{"site":"Hacker News","title":"Amphion: An open-source audio, music, and speech generation toolkit","url":"https://news.ycombinator.com/item?id=41962956","date":"2024-10-27"}],"checkedByPerson":true,"cost":"Free","runsOn":[],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"composer","name":"Composer","repo":"mosaicml/composer","githubUrl":"https://github.com/mosaicml/composer","homepage":"http://docs.mosaicml.com/","pageUrl":"/repo/composer","category":"Training & fine-tuning","tagline":"A PyTorch-based library from MosaicML for training AI models efficiently across many graphics cards.","whatItDoes":["Composer is a toolkit for training deep-learning models, from language models to image generators. It's built on PyTorch, a popular AI programming framework, and handles hard parts such as spreading training across many GPUs and computers.","It includes automatic resuming after a failed run, automatic memory tuning to avoid crashes, and a set of speed-up techniques. Its makers say these can make some training jobs several times faster.","It connects to experiment-tracking tools and cloud storage."],"whoFor":"Machine-learning engineers and researchers training models at scale.","useWithoutCoding":"Developers only","keywords":["model training","pytorch","distributed training","gpu","deep learning"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Databricks Mosaic Research","githubUrl":"https://github.com/mosaicml"},"license":"Apache-2.0","stars":5507,"contributors":140,"monthlyDownloads":8586,"lastPushedAt":"2026-04-29T18:58:33Z","sources":[{"site":"Hacker News","title":"Composer: A new PyTorch library to train models 4x faster with better algorithms","url":"https://news.ycombinator.com/item?id=30701311","date":"2022-03-16"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"devspace","name":"DevSpace","repo":"Waishnav/devspace","githubUrl":"https://github.com/Waishnav/devspace","homepage":null,"pageUrl":"/repo/devspace","category":"Add-ons for AI coding tools","tagline":"Lets ChatGPT and coding agents securely read, edit and run code in projects on your own computer.","whatItDoes":["DevSpace is a self-hosted MCP server, a connector that gives AI tools access to things on your computer. It lets ChatGPT work on your real local projects: reading and editing files, searching, and running commands.","Its makers say nothing is uploaded to a third party; you run it on your own machine. You choose which project folders it can open, and connections need approval with an owner password.","It can also let ChatGPT or another coding agent hand work to other agents you choose. Using it with ChatGPT needs a public web address from a tunnelling service."],"whoFor":"Developers who want ChatGPT or other AI agents to work directly on code on their computer.","useWithoutCoding":"Developers only","keywords":["chatgpt coding","mcp server","local code","coding agent","codex alternative"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Waishnav","githubUrl":"https://github.com/Waishnav"},"license":"MIT","stars":5270,"contributors":12,"monthlyDownloads":3990,"lastPushedAt":"2026-10-12T03:45:50Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"llm-beginner","name":"LLM-Beginner","repo":"nndl/llm-beginner","githubUrl":"https://github.com/nndl/llm-beginner","homepage":"https://nndl.ai/llm-agent/","pageUrl":"/repo/llm-beginner","category":"Learning resources","tagline":"A free Chinese-language e-book on large language models and AI agents, with six hands-on coding tasks.","whatItDoes":["This project pairs a book about large language models and AI agents with six step-by-step programming tasks. The book and tasks are written mainly in Chinese.","The tasks build up in order: writing a Transformer (the core design behind modern AI models), training a small GPT-style model, fine-tuning it, building document question-answering, making an agent that uses tools, and finally a small coding agent. Each comes with a self-check script.","The authors say the book is being prepared for publication and is still being revised."],"whoFor":"Chinese-speaking students and learners who want to understand how language models and agents work by building them.","useWithoutCoding":"Yes","keywords":["learn llm","ai course","chinese","transformer","ai agents"],"rating":1.5,"tags":["New this week"],"owner":{"name":"蒲公英书系列 · NNDL","githubUrl":"https://github.com/nndl"},"license":"MIT","stars":6827,"contributors":2,"monthlyDownloads":null,"lastPushedAt":"2026-09-06T05:53:42Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Download the free PDF of the book from the project's releases page."],"officialDownload":"https://github.com/nndl/llm-beginner/releases"},{"slug":"kiln","name":"Kiln","repo":"Kiln-AI/Kiln","githubUrl":"https://github.com/Kiln-AI/Kiln","homepage":"https://kiln.tech/","pageUrl":"/repo/kiln","category":"App builders & workflows","tagline":"A free desktop app for building, testing and improving AI features, with evaluations, fine-tuning and more.","whatItDoes":["Kiln is a workbench for making AI products work better. In one place you can write tests for your AI's answers (evals), improve prompts, add document search (RAG), build agents, create practice data and fine-tune models.","Its desktop app is meant for whole teams: the README says product managers, subject experts and testers can rate outputs and add examples without writing code. Engineers can use the same work through an open Python library.","It runs on your own computer. You bring your own API keys for AI providers, or work fully offline with local models through Ollama. Its makers say its Auto-Optimize feature searches for the best prompt and model for each task."],"whoFor":"Teams and individuals building AI features who want to measure and improve quality, including non-coders.","useWithoutCoding":"Yes","keywords":["ai evaluation","fine-tuning","prompt optimization","rag","desktop app"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Kiln AI","githubUrl":"https://github.com/Kiln-AI"},"license":"NOASSERTION","stars":5197,"contributors":15,"monthlyDownloads":2726,"lastPushedAt":"2026-10-19T01:21:24Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download Kiln Desktop for Mac, Windows or Linux from the project's website.","Add an API key for an AI provider, or connect Ollama to work offline.","Follow the five-minute quickstart to set up and run your first task."],"officialDownload":null},{"slug":"internet-court-skill","name":"Internet Court Skill","repo":"internet-court/internet-court-skill","githubUrl":"https://github.com/internet-court/internet-court-skill","homepage":null,"pageUrl":"/repo/internet-court-skill","category":"Add-ons for AI coding tools","tagline":"A skill pack that lets AI agents make deals, pay each other and settle disputes using blockchain tools.","whatItDoes":["Internet Court is a skill for AI agents such as Claude Code and Codex. It helps agents set up agreements with other agents, hold money in escrow (held safely until conditions are met), make payments and agree in advance how disagreements will be judged.","It bundles copies of official skills from many cryptocurrency and blockchain projects, covering identity, payments, wallets and trading tools, plus its own connectors. The README says it is built by a group of companies across this field."],"whoFor":"Developers building AI agents that buy, sell or exchange value with other agents.","useWithoutCoding":"Developers only","keywords":["agent payments","crypto","escrow","ai agent contracts","blockchain"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Internet Court","githubUrl":"https://github.com/internet-court"},"license":"NOASSERTION","stars":6772,"contributors":1,"monthlyDownloads":null,"lastPushedAt":"2026-08-19T15:00:54Z","sources":[],"checkedByPerson":true,"cost":null,"runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"jellyfish","name":"Jellyfish","repo":"Forget-C/Jellyfish","githubUrl":"https://github.com/Forget-C/Jellyfish","homepage":"https://forget-c.github.io/Jellyfish","pageUrl":"/repo/jellyfish","category":"Images & video","tagline":"A workspace for making short AI-generated drama videos, from script to storyboard to finished clips.","whatItDoes":["Jellyfish is a production studio for AI-made short dramas. You put in a script, and it uses AI to split it into shots and pick out the characters, scenes, props, costumes and dialogue.","It keeps a shared library of characters and settings so they look the same from shot to shot, a common problem with AI video. Once a shot is ready, you can generate its images and video and track each job.","It works with several AI model providers and can be run with Docker. Finished work can be exported."],"whoFor":"Creators and small studios experimenting with AI-generated short videos and series.","useWithoutCoding":"With some setup","keywords":["ai video","short drama","storyboard","script to video","film"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Extreme","githubUrl":"https://github.com/Forget-C"},"license":"Apache-2.0","stars":6771,"contributors":2,"monthlyDownloads":null,"lastPushedAt":"2026-07-30T02:19:18Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Server"],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Install Docker and download the project.","Start it with the project's Docker setup, then open it in your browser and add your AI model providers."],"officialDownload":null},{"slug":"autoresearch-skill","name":"Autoresearch","repo":"uditgoenka/autoresearch","githubUrl":"https://github.com/uditgoenka/autoresearch","homepage":"https://udit.co/projects/autoresearch","pageUrl":"/repo/autoresearch-skill","category":"Add-ons for AI coding tools","tagline":"Makes an AI coding assistant repeatedly try changes, measure results and keep only improvements.","whatItDoes":["This skill for Claude Code, OpenCode and Codex sets a goal and a measurable score, then loops: make one change, test it, keep it if better, undo it if worse.","It is based on Andrej Karpathy's autoresearch idea, and its maker says it can apply to any task with a number to measure."],"whoFor":"Programmers who want their AI coding assistant to work toward a goal on its own.","useWithoutCoding":"Developers only","keywords":["claude code","autonomous agent","iteration","skill"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Udit Goenka","githubUrl":"https://github.com/uditgoenka"},"license":"MIT","stars":6579,"contributors":7,"monthlyDownloads":null,"lastPushedAt":"2026-08-12T22:28:18Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"shell-gpt","name":"ShellGPT","repo":"TheR1D/shell_gpt","githubUrl":"https://github.com/TheR1D/shell_gpt","homepage":null,"pageUrl":"/repo/shell-gpt","category":"Coding assistants","tagline":"Ask an AI questions and get ready-to-run commands and code right inside your computer's terminal.","whatItDoes":["ShellGPT is a command-line tool, used in the text window called the terminal. You type a request in plain words and it answers, writes a command for you or produces a code snippet.","It can turn a request like \"find all json files in this folder\" into the right command for your system and ask before running it. You can also feed it things like error logs and ask it to explain them.","By default it uses OpenAI's paid API. The README says it can use free local models through Ollama, but it is not optimized for them."],"whoFor":"People who use the terminal and want quick help with commands, code and general questions.","useWithoutCoding":"Developers only","keywords":["terminal","command line","shell commands","chatgpt"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Farkhod Sadykov","githubUrl":"https://github.com/TheR1D"},"license":"MIT","stars":12294,"contributors":43,"monthlyDownloads":10053,"lastPushedAt":"2026-07-02T06:03:01Z","sources":[{"site":"Hacker News","title":"Call GPT-3 from Terminal","url":"https://news.ycombinator.com/item?id=34765093","date":"2023-02-12"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Install ShellGPT using Python's package installer.","Get an OpenAI API key and enter it when ShellGPT asks.","Type your question in the terminal after the tool's name."],"officialDownload":null},{"slug":"intentkit","name":"IntentKit","repo":"crestalnetwork/intentkit","githubUrl":"https://github.com/crestalnetwork/intentkit","homepage":"https://intentcat.com/docs","pageUrl":"/repo/intentkit","category":"AI agents","tagline":"A self-hosted system for running a team of cloud AI agents that work together.","whatItDoes":["IntentKit runs a group of AI agents on a server, where they can call on and work with each other. Its makers describe it as cloud-native, so it uses little of your own computer.","Agents can gain new skills, connect to social media and optionally to blockchain services. The makers say agents cannot access your secret keys.","It can also be used as a Python library or reached through its built-in API."],"whoFor":"Developers who want to host a team of AI agents on their own servers.","useWithoutCoding":"Developers only","keywords":["ai agents","agent team","self-hosted","automation"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Crestal Network","githubUrl":"https://github.com/crestalnetwork"},"license":"MIT","stars":6520,"contributors":19,"monthlyDownloads":null,"lastPushedAt":"2026-09-16T12:17:32Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Server","Cloud"],"hardware":"Made for servers or data centres","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"rwkv-runner","name":"RWKV Runner","repo":"josStorer/RWKV-Runner","githubUrl":"https://github.com/josStorer/RWKV-Runner","homepage":"https://www.rwkv.com/","pageUrl":"/repo/rwkv-runner","category":"Run AI on your computer","tagline":"A small desktop app that downloads and runs RWKV AI models on your own computer with one click.","whatItDoes":["RWKV is an openly available AI language model. RWKV Runner is a small app that handles the technical setup for you: it downloads the model and what it needs, picks settings that suit your computer's graphics card, and starts it.","It includes a chat screen, a text-completion screen, and a music composition page that can even take input from a MIDI keyboard. It can also fine-tune models on Windows.","It offers the same kind of connection as OpenAI's service, so other ChatGPT-style apps can use your local model. It can also act as a client for ChatGPT, Ollama and similar services."],"whoFor":"People who want to try a local AI model without dealing with setup, and developers who want a local OpenAI-style server.","useWithoutCoding":"Yes","keywords":["local ai","rwkv","offline chatbot","desktop app","private"],"rating":1.5,"tags":["New this week"],"owner":{"name":"josc146","githubUrl":"https://github.com/josStorer"},"license":"MIT","stars":6487,"contributors":13,"monthlyDownloads":null,"lastPushedAt":"2026-09-04T13:37:10Z","sources":[{"site":"Hacker News","title":"Eagle 7B: Soaring past Transformers","url":"https://news.ycombinator.com/item?id=39172837","date":"2024-01-29"},{"site":"Hacker News","title":"RWKV Language Model","url":"https://news.ycombinator.com/item?id=42554161","date":"2024-12-30"}],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Mac","Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Download RWKV Runner for your computer from the project's releases page.","Open it, choose a model setting that matches your graphics card, and let it download and start the model.","Use the chat page to talk to the model."],"officialDownload":"https://github.com/josStorer/RWKV-Runner/releases"},{"slug":"video-subtitle-remover","name":"Video-subtitle-remover (VSR)","repo":"YaoFANGUK/video-subtitle-remover","githubUrl":"https://github.com/YaoFANGUK/video-subtitle-remover","homepage":null,"pageUrl":"/repo/video-subtitle-remover","category":"Images & video","tagline":"Removes subtitles burned into videos and text marks from images, filling the gap with AI.","whatItDoes":["Video-subtitle-remover finds subtitles that are printed into a video's picture (\"hard\" subtitles) and removes them. AI then fills in the area where the text was, so the result looks like the original scene without the words.","You can tell it exactly where the subtitles are, or let it remove all text across the whole video. It can also batch-process images to remove text-style watermarks.","Its makers say it works locally on your computer and does not need any third-party online service."],"whoFor":"People editing or re-using their own videos who need to remove on-screen text, such as video editors and translators.","useWithoutCoding":"With some setup","keywords":["remove subtitles","remove text from video","watermark text","video editing","inpainting"],"rating":1.5,"tags":["New this week"],"owner":{"name":"天涯古巷","githubUrl":"https://github.com/YaoFANGUK"},"license":"Apache-2.0","stars":13339,"contributors":3,"monthlyDownloads":null,"lastPushedAt":"2026-06-30T01:06:52Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Mac","Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Download the ready-made package for your computer from the project's releases page.","Choose the CPU package, or the one that matches your graphics card, then unpack it and run it.","Open a video, mark where the subtitles are if you want, and start the removal."],"officialDownload":"https://github.com/YaoFANGUK/video-subtitle-remover/releases"},{"slug":"wonderful-prompts","name":"Wonderful Prompts","repo":"langgptai/wonderful-prompts","githubUrl":"https://github.com/langgptai/wonderful-prompts","homepage":"https://langgptai.feishu.cn/wiki/RXdbwRyASiShtDky381ciwFEnpe","pageUrl":"/repo/wonderful-prompts","category":"Learning resources","tagline":"A large collection of ready-to-use Chinese prompts for getting better results from ChatGPT and similar AI.","whatItDoes":["This is a curated collection of Chinese-language prompts, the instructions you type into chat AIs like ChatGPT, Claude or DeepSeek. Each comes with examples.","Prompts cover writing, coding, learning, fitness plans, résumés, translation, marketing, image prompts for tools like Midjourney and role-play, plus guides on writing good prompts. A recent note gives tips for newer reasoning models."],"whoFor":"Chinese-speaking AI users who want good prompts to copy and adapt.","useWithoutCoding":"Yes","keywords":["prompts","chatgpt tips","chinese","prompt templates"],"rating":1.5,"tags":["New this week"],"owner":{"name":"LangGPT.ai","githubUrl":"https://github.com/langgptai"},"license":"MIT","stars":6358,"contributors":5,"monthlyDownloads":null,"lastPushedAt":"2026-08-25T13:49:20Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Browse the list of prompts on the project page.","Copy one into your chat AI and adjust it for your task."],"officialDownload":null},{"slug":"ragaai-catalyst","name":"RagaAI Catalyst","repo":"raga-ai-hub/RagaAI-Catalyst","githubUrl":"https://github.com/raga-ai-hub/RagaAI-Catalyst","homepage":"https://catalyst.raga.ai/","pageUrl":"/repo/ragaai-catalyst","category":"Running AI at scale","tagline":"Track, test and debug AI apps and agents, and see each step they took.","whatItDoes":["RagaAI Catalyst is a Python toolkit for keeping an eye on AI projects. It records \"traces\", a step-by-step log of what an AI agent or app did, including its calls to models and tools, so problems can be found.","It also helps manage test datasets, run evaluations of answer quality, store prompts, create synthetic test data, set guardrails (rules that block bad output) and run red-teaming (deliberately trying to make the AI misbehave).","Results can be viewed in a dashboard with timelines and graphs."],"whoFor":"Teams building AI apps or multi-agent systems who need to test and monitor them.","useWithoutCoding":"Developers only","keywords":["ai monitoring","evaluation","tracing","testing ai","debugging"],"rating":1.5,"tags":[],"owner":{"name":"RagaAI","githubUrl":"https://github.com/raga-ai-hub"},"license":"Apache-2.0","stars":16175,"contributors":28,"monthlyDownloads":1413,"lastPushedAt":"2026-02-11T14:43:33Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":[],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"voice-pro","name":"Voice-Pro","repo":"abus-aikorea/voice-pro","githubUrl":"https://github.com/abus-aikorea/voice-pro","homepage":"https://www.wctokyoseoul.com/","pageUrl":"/repo/voice-pro","category":"Speech & audio","tagline":"A web app for transcribing, translating and dubbing audio and video, including copying voices from short samples.","whatItDoes":["Voice-Pro brings several audio tools into one browser-based screen. It can download videos, separate voices from background music, turn speech into text with Whisper, and translate the text into many languages.","It can then read text aloud with computer voices, or copy a voice from a short sample (voice cloning) to make new speech in that voice. Its makers present it as an alternative to paid voice services.","The README says the code is now fully open and free, but that the makers cannot work on updates for the time being."],"whoFor":"Video creators, podcasters and researchers who want transcripts, translations or dubbed audio.","useWithoutCoding":"With some setup","keywords":["dubbing","voice cloning","subtitles","transcribe video","text to speech"],"rating":1.5,"tags":["New this week"],"owner":{"name":"ABUS","githubUrl":"https://github.com/abus-aikorea"},"license":"GPL-3.0","stars":13202,"contributors":1,"monthlyDownloads":null,"lastPushedAt":"2026-07-13T01:28:10Z","sources":[{"site":"Hacker News","title":"Show HN: Voice-Pro – AI Voice Cloning","url":"https://news.ycombinator.com/item?id=42261909","date":"2024-11-28"}],"checkedByPerson":true,"cost":"Free","runsOn":["Windows"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the project to a Windows computer, ideally one with an NVIDIA graphics card.","The first run downloads large AI models, which can take a long time."],"officialDownload":null},{"slug":"pocketflow-codebase-tutorial","name":"PocketFlow Tutorial Codebase Knowledge","repo":"The-Pocket/PocketFlow-Tutorial-Codebase-Knowledge","githubUrl":"https://github.com/The-Pocket/PocketFlow-Tutorial-Codebase-Knowledge","homepage":"https://code2tutorial.com/","pageUrl":"/repo/pocketflow-codebase-tutorial","category":"Coding assistants","tagline":"Point it at a code project and AI writes a beginner-friendly tutorial explaining how that code works.","whatItDoes":["This project uses AI to read through a software project, either on GitHub or on your computer. It works out the main building blocks and how they fit together.","It then writes a step-by-step tutorial, with diagrams, aimed at beginners. The README links to example tutorials it produced for many well-known projects. It can also write tutorials in other languages, such as Chinese.","It is built with Pocket Flow, a very small framework for AI apps, and also serves as a teaching example of that framework."],"whoFor":"Programmers joining a new project, students and teachers who want an easy explanation of unfamiliar code.","useWithoutCoding":"Developers only","keywords":["explain code","code tutorial","learn codebase","documentation"],"rating":1.5,"tags":["New this week"],"owner":{"name":"The Pocket","githubUrl":"https://github.com/The-Pocket"},"license":"MIT","stars":12708,"contributors":21,"monthlyDownloads":null,"lastPushedAt":"2026-05-31T01:26:41Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the project and install its Python requirements.","Add a key for an AI model, such as Gemini, or point it at a local model through Ollama.","Run it on a GitHub project or a folder on your computer, then read the tutorial it saves."],"officialDownload":null},{"slug":"aio-sandbox","name":"AIO Sandbox","repo":"agent-infra/sandbox","githubUrl":"https://github.com/agent-infra/sandbox","homepage":"https://sandbox.agent-infra.com/","pageUrl":"/repo/aio-sandbox","category":"Developer building blocks","tagline":"A ready-made, contained computer environment where AI agents can browse, run code and handle files.","whatItDoes":["AIO Sandbox is a sandbox, a sealed-off space where AI agents can work without touching your main computer. It packs a web browser, a terminal, files, a code editor and Jupyter notebooks into one Docker container.","Because everything shares one set of files, something downloaded in the browser is ready to use in the terminal straight away. It comes with MCP connections so agents can use it right away.","Developers control it from Python, JavaScript or Go code."],"whoFor":"Developers building AI agents that need to use a browser or run code safely.","useWithoutCoding":"Developers only","keywords":["sandbox","ai agents","browser automation","docker"],"rating":1.5,"tags":["Research-backed","New this week"],"owner":{"name":"Agent Infra","githubUrl":"https://github.com/agent-infra"},"license":"Apache-2.0","stars":6182,"contributors":17,"monthlyDownloads":null,"lastPushedAt":"2026-09-14T08:47:20Z","sources":[{"site":"Research paper","title":"Paper linked from the AIO Sandbox README","url":"https://arxiv.org/abs/2509.02544","date":"2025-09-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Server","Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"zcf","name":"ZCF","repo":"UfoMiao/zcf","githubUrl":"https://github.com/UfoMiao/zcf","homepage":"http://zcf.ufomiao.com/","pageUrl":"/repo/zcf","category":"Add-ons for AI coding tools","tagline":"A one-step setup tool that configures Claude Code and Codex with workflows, connectors and settings.","whatItDoes":["ZCF (Zero-Config Code Flow) sets up the AI coding assistants Claude Code and Codex for you. An interactive menu walks you through choosing what to install.","It can add ready-made workflows, connect MCP tools, configure your AI provider and set up an agent system, with menus in English, Chinese and Japanese."],"whoFor":"Developers who want a quick, guided setup for Claude Code or Codex.","useWithoutCoding":"With some setup","keywords":["claude code","codex","setup","configuration"],"rating":1.5,"tags":["New this week"],"owner":{"name":"UfoMiao","githubUrl":"https://github.com/UfoMiao"},"license":"MIT","stars":6082,"contributors":15,"monthlyDownloads":null,"lastPushedAt":"2026-08-31T03:02:03Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Install Node.js on your computer.","Run ZCF from the terminal and pick what you need from its menu."],"officialDownload":null},{"slug":"awesome-chatgpt","name":"Awesome ChatGPT","repo":"sindresorhus/awesome-chatgpt","githubUrl":"https://github.com/sindresorhus/awesome-chatgpt","homepage":null,"pageUrl":"/repo/awesome-chatgpt","category":"Learning resources","tagline":"A curated list of apps, browser extensions, tools and articles for ChatGPT.","whatItDoes":["This list gathers resources around ChatGPT, OpenAI's chatbot. It covers desktop and phone apps, web apps, browser extensions, command-line tools, bots and integrations with other software.","It also lists programming packages, articles and community links. Entries marked with a dollar sign are paid.","The README says new submissions are paused for now."],"whoFor":"ChatGPT users looking for apps and add-ons, and developers looking for ChatGPT tools.","useWithoutCoding":"Yes","keywords":["chatgpt apps","chatgpt extensions","openai","tools list"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Sindre Sorhus","githubUrl":"https://github.com/sindresorhus"},"license":"CC0-1.0","stars":6449,"contributors":50,"monthlyDownloads":null,"lastPushedAt":"2026-02-15T18:05:30Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the list on GitHub and browse sections such as apps or browser extensions.","Follow a link to learn more about any tool that interests you."],"officialDownload":null},{"slug":"hrm","name":"Hierarchical Reasoning Model","repo":"sapientinc/HRM","githubUrl":"https://github.com/sapientinc/HRM","homepage":"https://sapient.inc/","pageUrl":"/repo/hrm","category":"AI models & research","tagline":"A research AI model for reasoning puzzles such as Sudoku and mazes, inspired by how the brain plans.","whatItDoes":["HRM is a research model with two linked parts: one for slow, big-picture planning and one for fast, detailed work. Its makers say the design was inspired by the human brain.","The makers say it solves hard Sudoku puzzles and mazes after training on about 1,000 examples. The project shares code, training steps and some trained checkpoints; it needs graphics cards to run."],"whoFor":"AI researchers and students interested in new approaches to AI reasoning.","useWithoutCoding":"Developers only","keywords":["ai reasoning","sudoku ai","research model"],"rating":1.5,"tags":["Research-backed","New this week"],"owner":{"name":"sapientinc","githubUrl":"https://github.com/sapientinc"},"license":"Apache-2.0","stars":12657,"contributors":5,"monthlyDownloads":null,"lastPushedAt":"2026-03-31T23:08:31Z","sources":[{"site":"Research paper","title":"Hierarchical Reasoning Model","url":"https://arxiv.org/abs/2506.21734","date":"2025-06-01"},{"site":"Hacker News","title":"Hierarchical Reasoning Model – 1k training samples SoTA reasoning v/s CoT","url":"https://news.ycombinator.com/item?id=44709303","date":"2025-07-28"},{"site":"Hacker News","title":"A 27M-param model that solves hard Sudoku/mazes where LLMs fail, without CoT","url":"https://news.ycombinator.com/item?id=44646543","date":"2025-07-22"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"mobile-agent","name":"Mobile-Agent","repo":"X-PLUG/MobileAgent","githubUrl":"https://github.com/X-PLUG/MobileAgent","homepage":null,"pageUrl":"/repo/mobile-agent","category":"AI models & research","tagline":"Research AI agents and models from Alibaba's Tongyi Lab that can operate phones and computers by looking at the screen.","whatItDoes":["Mobile-Agent is a family of research projects about GUI agents: AI that uses apps the way a person does, by looking at the screen and tapping, typing and scrolling.","It includes the GUI-Owl models, which understand screens on phones, computers and the web, and several agent systems built on top of them for planning, checking progress and remembering steps.","The team publishes papers, code and model files, and offers online demos and a paid cloud API through Alibaba Cloud."],"whoFor":"AI researchers and developers working on agents that control phones or computers.","useWithoutCoding":"Developers only","keywords":["phone automation","computer use","gui agent","android","research"],"rating":1.5,"tags":["Research-backed","New this week"],"owner":{"name":"X-PLUG","githubUrl":"https://github.com/X-PLUG"},"license":"MIT","stars":9313,"contributors":30,"monthlyDownloads":null,"lastPushedAt":"2026-07-07T09:22:18Z","sources":[{"site":"Research paper","title":"Mobile-Agent-v3.5","url":"https://arxiv.org/abs/2602.16855","date":"2026-02-01"},{"site":"Research paper","title":"Mobile-Agent-v3 and GUI-Owl technical report","url":"https://arxiv.org/abs/2508.15144","date":"2025-08-01"},{"site":"Research paper","title":"UI-S1: Advancing GUI Automation via Semi-online Reinforcement Learning","url":"https://arxiv.org/abs/2509.11543","date":"2025-09-01"},{"site":"Research paper","title":"Mobile-Agent-v2","url":"https://arxiv.org/abs/2406.01014","date":"2024-06-01"},{"site":"Research paper","title":"Mobile-Agent","url":"https://arxiv.org/abs/2401.16158","date":"2024-01-01"}],"checkedByPerson":false,"cost":null,"runsOn":[],"hardware":null,"privacy":null,"needsApiKey":false,"firstSteps":["Try the online demo the project links to: type an instruction and watch the agent operate a phone or computer."],"officialDownload":null},{"slug":"introtodeeplearning","name":"MIT Introduction to Deep Learning","repo":"MITDeepLearning/introtodeeplearning","githubUrl":"https://github.com/MITDeepLearning/introtodeeplearning","homepage":null,"pageUrl":"/repo/introtodeeplearning","category":"Learning resources","tagline":"The lab exercises and code for MIT's free introductory deep learning course.","whatItDoes":["This repository holds the hands-on lab materials and code for MIT's Introduction to Deep Learning course. Lecture slides and videos are on the course website.","The labs are designed to run in Google Colaboratory, a free notebook environment in your web browser, so there is nothing to install.","You work through the notebooks and fill in the missing pieces to get the code running."],"whoFor":"Students and self-learners who want a structured, hands-on introduction to deep learning.","useWithoutCoding":"Developers only","keywords":["deep learning","course","tutorial","neural networks","learn ai"],"rating":1.5,"tags":["New this week"],"owner":{"name":"MITDeepLearning","githubUrl":"https://github.com/MITDeepLearning"},"license":"MIT","stars":8847,"contributors":32,"monthlyDownloads":null,"lastPushedAt":"2026-01-04T21:17:16Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Open a lab notebook from the course page in Google Colaboratory.","Work through the notebook and fill in the marked exercises."],"officialDownload":null},{"slug":"memvid","name":"Memvid","repo":"memvid/memvid","githubUrl":"https://github.com/memvid/memvid","homepage":"https://www.memvid.com/","pageUrl":"/repo/memvid","category":"AI memory","tagline":"Stores an AI agent's memory in a single portable file, without needing a database.","whatItDoes":["Memvid gives AI agents long-term memory. It packs your data and the indexes needed to search it into one file, so an agent can quickly look things up without running a separate database or server.","Its design borrows ideas from video compression: memory is saved as a sequence of unchangeable \"frames\", so you can rewind to see what the agent knew at an earlier point. It works offline and with any AI model.","Its makers publish benchmark results comparing it with other memory systems."],"whoFor":"Developers building AI agents or knowledge assistants that need to remember things.","useWithoutCoding":"Developers only","keywords":["ai memory","knowledge base","offline","search"],"rating":1.5,"tags":[],"owner":{"name":"Memvid","githubUrl":"https://github.com/memvid"},"license":"Apache-2.0","stars":16603,"contributors":24,"monthlyDownloads":41961,"lastPushedAt":"2026-07-14T14:39:07Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"medicalgpt","name":"MedicalGPT","repo":"shibing624/MedicalGPT","githubUrl":"https://github.com/shibing624/MedicalGPT","homepage":null,"pageUrl":"/repo/medicalgpt","category":"Training & fine-tuning","tagline":"Code for training your own medical AI chat model, following the same steps used to train ChatGPT.","whatItDoes":["MedicalGPT is a set of training scripts for building a language model that specializes in medicine. It follows the training pipeline behind ChatGPT: extra reading on medical texts, then learning from example questions and answers, then learning from human preferences.","It supports several training methods, such as reinforcement learning from human feedback, DPO, ORPO and GRPO, and works with many open models like Qwen and Llama. The makers have also released some medical models trained this way.","It is a technical toolkit for researchers, not a medical advice service. The README is mainly in Chinese with an English version."],"whoFor":"AI researchers and developers who want to adapt language models to the medical field or other specialist areas.","useWithoutCoding":"Developers only","keywords":["medical ai","fine-tuning","train chatbot","healthcare"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Ming Xu (徐明)","githubUrl":"https://github.com/shibing624"},"license":"Apache-2.0","stars":5865,"contributors":17,"monthlyDownloads":null,"lastPushedAt":"2026-09-15T13:46:54Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"r2r","name":"R2R","repo":"SciPhi-AI/R2R","githubUrl":"https://github.com/SciPhi-AI/R2R","homepage":null,"pageUrl":"/repo/r2r","category":"Documents & knowledge","tagline":"A system that lets AI search your documents and answer questions with sources.","whatItDoes":["R2R takes in documents and lets AI answer questions about them with citations, a method called retrieval-augmented generation (RAG). It offers hybrid search, knowledge graphs and document management through an API.","A \"Deep Research\" feature pulls from your documents and the web for harder questions."],"whoFor":"Developers building document search or question-answering into their apps.","useWithoutCoding":"Developers only","keywords":["rag","document search","ask your documents","knowledge base"],"rating":1.5,"tags":["New this week"],"owner":{"name":"SciPhi-AI","githubUrl":"https://github.com/SciPhi-AI"},"license":"MIT","stars":8026,"contributors":63,"monthlyDownloads":3077,"lastPushedAt":"2025-11-07T01:02:44Z","sources":[{"site":"Hacker News","title":"Show HN: R2R V2 – A open source RAG engine with prod features","url":"https://news.ycombinator.com/item?id=40799791","date":"2024-06-26"},{"site":"Hacker News","title":"Show HN: R2R – Open-source framework for production-grade RAG","url":"https://news.ycombinator.com/item?id=39510874","date":"2024-02-26"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Server"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"open-agents","name":"Open Agents","repo":"vercel-labs/open-agents","githubUrl":"https://github.com/vercel-labs/open-agents","homepage":"https://open-agents.dev/","pageUrl":"/repo/open-agents","category":"Coding assistants","tagline":"A starter app from Vercel Labs for building your own cloud-based AI coding agents that work in the background.","whatItDoes":["Open Agents is a reference app, a working example meant to be copied and adapted, for running AI coding agents in the background on Vercel's cloud platform.","It includes a web chat, the agent itself, and isolated sandboxes, separate virtual computers where the agent can edit files and run commands. It can clone a GitHub project, make changes, and optionally commit them and open a pull request.","The agent runs separately from its sandbox, so long tasks can pause and resume. Sessions can be shared with read-only links."],"whoFor":"Developers who want to build and host their own background coding agent.","useWithoutCoding":"Developers only","keywords":["coding agent","background agent","vercel","template","github"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Vercel Labs","githubUrl":"https://github.com/vercel-labs"},"license":"MIT","stars":5850,"contributors":16,"monthlyDownloads":null,"lastPushedAt":"2026-08-29T08:05:05Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Cloud"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"jina-reader","name":"Reader","repo":"jina-ai/reader","githubUrl":"https://github.com/jina-ai/reader","homepage":"https://jina.ai/reader","pageUrl":"/repo/jina-reader","category":"Developer building blocks","tagline":"Turns any web page into clean text that AI models can read, and can search the web too.","whatItDoes":["Reader takes a web address and gives back a tidy text version of the page, without menus and clutter. This makes it easier for AI chatbots and agents to use what's on the page.","It can also search the web for a question, visit the top results, and return them as clean text. It handles PDFs, Word, Excel and PowerPoint files, and describes images using an AI vision model.","Jina AI runs it as a hosted service, which its makers say is free to use, with rate limits. This repository is the open-source version of the code behind that service."],"whoFor":"Developers building AI agents or question-answering tools that need to read web pages.","useWithoutCoding":"With some setup","keywords":["web page to text","markdown","web search","scraping","pdf"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Jina AI","githubUrl":"https://github.com/jina-ai"},"license":"Apache-2.0","stars":12164,"contributors":7,"monthlyDownloads":null,"lastPushedAt":"2026-05-22T02:56:46Z","sources":[{"site":"Hacker News","title":"Jina AI launches open-source 8k text embedding","url":"https://news.ycombinator.com/item?id=38020109","date":"2023-10-26"},{"site":"Hacker News","title":"Reader-LM: Small Language Models for Cleaning and Converting HTML to Markdown","url":"https://news.ycombinator.com/item?id=41515730","date":"2024-09-11"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser","Cloud"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Add the project's reader address in front of any web page address in your browser to get a clean text version.","Use its search address the same way, followed by your question, to get search results as clean text."],"officialDownload":null},{"slug":"crucix","name":"Crucix","repo":"calesthio/Crucix","githubUrl":"https://github.com/calesthio/Crucix","homepage":"https://crucix.live/","pageUrl":"/repo/crucix","category":"AI agents","tagline":"A self-hosted dashboard that gathers live world data from many open sources into one view.","whatItDoes":["Crucix pulls information from many free public sources, such as satellite fire detection, flight tracking, radiation readings, market prices and conflict data, and shows it on a dashboard that updates often.","It runs on your own computer and can send alerts to Telegram or Discord when something changes. You can connect an AI model to get written summaries and automated analysis.","The project notes it collects public open-source data and sends no telemetry, and it keeps a public demo site to try first."],"whoFor":"Researchers, journalists and curious people who want a single live view of open world data.","useWithoutCoding":"With some setup","keywords":["dashboard","open data","monitoring","alerts","osint"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Calesthio","githubUrl":"https://github.com/calesthio"},"license":"AGPL-3.0","stars":12128,"contributors":17,"monthlyDownloads":null,"lastPushedAt":"2026-05-20T00:50:21Z","sources":[],"checkedByPerson":true,"cost":"Free","runsOn":["Server","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Try the public demo site to see what it does.","Download the project and run it on your own computer by following its setup steps.","Open the dashboard in your web browser."],"officialDownload":null},{"slug":"awesome-chatgpt-api","name":"Awesome ChatGPT API","repo":"reorx/awesome-chatgpt-api","githubUrl":"https://github.com/reorx/awesome-chatgpt-api","homepage":null,"pageUrl":"/repo/awesome-chatgpt-api","category":"Learning resources","tagline":"A curated list of apps and tools that let you use ChatGPT with your own API key.","whatItDoes":["This list collects apps that use OpenAI's ChatGPT API and let you enter your own API key, so you pay only for what you use on your own account.","It covers browser extensions, web apps, desktop and mobile apps, command-line tools and chatbots, with a short description of each.","There is also a section for developers with projects, tools and articles."],"whoFor":"People looking for ChatGPT-powered apps, and developers building them.","useWithoutCoding":"Yes","keywords":["chatgpt apps","openai api key","chatgpt extensions","ai tools list"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Xiao Meng","githubUrl":"https://github.com/reorx"},"license":null,"stars":6429,"contributors":46,"monthlyDownloads":null,"lastPushedAt":"2026-03-23T09:46:43Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Browse the list on GitHub or its website and pick an app that fits your needs."],"officialDownload":null},{"slug":"whisper-diarization","name":"Whisper Diarization","repo":"MahmoudAshraf97/whisper-diarization","githubUrl":"https://github.com/MahmoudAshraf97/whisper-diarization","homepage":null,"pageUrl":"/repo/whisper-diarization","category":"Speech & audio","tagline":"Transcribes a recording and labels who said each line.","whatItDoes":["Whisper Diarization combines OpenAI's Whisper speech recognition with speaker detection, so it both writes out what was said and labels which speaker said each part.","It first separates the voices from the rest of the audio to improve accuracy, then transcribes and matches each sentence to a speaker.","It runs from the command line and works best with a graphics card."],"whoFor":"People who need transcripts of multi-speaker recordings, such as meetings or interviews.","useWithoutCoding":"With some setup","keywords":["transcribe","speaker labels","diarization","whisper","speech to text"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Mahmoud Ashraf","githubUrl":"https://github.com/MahmoudAshraf97"},"license":"BSD-2-Clause","stars":5663,"contributors":13,"monthlyDownloads":null,"lastPushedAt":"2026-08-15T09:11:27Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Windows"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"awesome-pretrained-chinese-nlp-models","name":"Awesome Pretrained Chinese NLP Models","repo":"lonePatient/awesome-pretrained-chinese-nlp-models","githubUrl":"https://github.com/lonePatient/awesome-pretrained-chinese-nlp-models","homepage":null,"pageUrl":"/repo/awesome-pretrained-chinese-nlp-models","category":"Learning resources","tagline":"A big, organised list of openly available Chinese AI language models, with links to download them.","whatItDoes":["This is a curated list of publicly available AI models that handle Chinese, from older language models like BERT to today's large chat, reasoning and multimodal models (models that handle images, audio or video as well as text).","Tables list each model's size, release date and download links, sorted into groups such as general models and specialised ones for law, medicine, finance and code. It also points to benchmarks, datasets and model hubs. The list itself is written in Chinese."],"whoFor":"Researchers and developers looking for Chinese-language AI models.","useWithoutCoding":"Yes","keywords":["chinese ai models","llm list","nlp","model directory"],"rating":1.5,"tags":["Research-backed","New this week"],"owner":{"name":"Weitang Liu","githubUrl":"https://github.com/lonePatient"},"license":"MIT","stars":5602,"contributors":8,"monthlyDownloads":null,"lastPushedAt":"2026-08-30T03:20:26Z","sources":[{"site":"Research paper","title":"A Survey of Large Language Models","url":"https://arxiv.org/abs/2303.18223","date":"2023-03-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the project page and pick a category, such as chat models or domain models.","Follow the links to the models you want to explore."],"officialDownload":null},{"slug":"comfyui-copilot","name":"ComfyUI-Copilot","repo":"ATH-MaaS/ComfyUI-Copilot","githubUrl":"https://github.com/ATH-MaaS/ComfyUI-Copilot","homepage":null,"pageUrl":"/repo/comfyui-copilot","category":"Images & video","tagline":"An AI helper inside ComfyUI that builds, fixes and tunes image-generation workflows.","whatItDoes":["ComfyUI is a visual tool for AI image workflows. This add-on lets you describe what you want and get suggested workflows, then debug errors and tweak settings.","The README says its own API service is suspended, so you now enter your own AI API key."],"whoFor":"ComfyUI users, especially beginners.","useWithoutCoding":"With some setup","keywords":["comfyui","stable diffusion","image workflow","ai helper"],"rating":1.5,"tags":["New this week"],"owner":{"name":"ATH-MaaS","githubUrl":"https://github.com/ATH-MaaS"},"license":"MIT","stars":5553,"contributors":18,"monthlyDownloads":null,"lastPushedAt":"2026-09-11T02:19:06Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["In ComfyUI Manager, search for ComfyUI-Copilot and install it.","Open its settings and enter your AI API key and address."],"officialDownload":null},{"slug":"roboflow-sports","name":"sports","repo":"roboflow/sports","githubUrl":"https://github.com/roboflow/sports","homepage":null,"pageUrl":"/repo/roboflow-sports","category":"Images & video","tagline":"Computer vision tools for analysing sports video, such as tracking players and the ball.","whatItDoes":["This project from Roboflow collects reusable tools for sports analytics using computer vision (AI that understands images and video).","It focuses on hard problems such as tracking a small, fast ball, following and re-identifying players, reading jersey numbers and calibrating camera views to measure speed and distance. It links to datasets for soccer players, balls and pitch markings.","There is no ready-made package yet; you install it from source."],"whoFor":"Developers and sports analysts interested in computer vision for games like soccer.","useWithoutCoding":"Developers only","keywords":["sports analytics","soccer","player tracking","computer vision"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Roboflow","githubUrl":"https://github.com/roboflow"},"license":"MIT","stars":5430,"contributors":1,"monthlyDownloads":null,"lastPushedAt":"2026-08-28T11:43:41Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"ltx-video","name":"LTX-Video","repo":"Lightricks/LTX-Video","githubUrl":"https://github.com/Lightricks/LTX-Video","homepage":"https://ltx.io/model","pageUrl":"/repo/ltx-video","category":"Images & video","tagline":"An openly available AI model that turns text or pictures into short video clips.","whatItDoes":["LTX-Video is a video-generation model from Lightricks. Describe a scene or give it a picture and it creates a video; it can also extend clips and animate between keyframes. It works with ComfyUI, a visual tool for AI workflows.","The README says development has moved to LTX-2, a newer model that also creates matching sound."],"whoFor":"Video creators, artists and developers who want to generate video with AI.","useWithoutCoding":"Developers only","keywords":["text to video","image to video","ai video","comfyui"],"rating":1.5,"tags":["Research-backed","New this week"],"owner":{"name":"Lightricks","githubUrl":"https://github.com/Lightricks"},"license":"Apache-2.0","stars":11132,"contributors":10,"monthlyDownloads":null,"lastPushedAt":"2026-01-05T22:37:07Z","sources":[{"site":"Research paper","title":"LTX-Video research paper","url":"https://arxiv.org/abs/2501.00103","date":"2025-01-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Try the online demo linked in the README.","To run it yourself, use the ComfyUI integration on a computer with a good graphics card."],"officialDownload":null},{"slug":"anomaly-detection-resources","name":"Anomaly Detection Learning Resources","repo":"yzhao062/anomaly-detection-resources","githubUrl":"https://github.com/yzhao062/anomaly-detection-resources","homepage":null,"pageUrl":"/repo/anomaly-detection-resources","category":"Learning resources","tagline":"A reading list of books, courses, papers, datasets and tools for finding unusual data with AI.","whatItDoes":["Anomaly detection means finding the odd ones out in data, such as a fraudulent card payment, a network break-in or a faulty machine part. This list gathers learning material on the subject.","It includes books and tutorials, online courses and videos, test datasets, open-source and commercial tools, key conferences, and research papers. Its maker says it has been updated with recent work using large language models and vision models."],"whoFor":"Students, researchers and data professionals learning about outlier and fraud detection.","useWithoutCoding":"Yes","keywords":["anomaly detection","fraud detection","outliers","reading list"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Yue Zhao","githubUrl":"https://github.com/yzhao062"},"license":"AGPL-3.0","stars":9419,"contributors":25,"monthlyDownloads":null,"lastPushedAt":"2026-03-02T04:42:20Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the list and start with the books and tutorials section.","Move on to the courses, datasets and tools sections as you go deeper."],"officialDownload":null},{"slug":"watermark-removal","name":"Watermark Removal","repo":"zuruoke/watermark-removal","githubUrl":"https://github.com/zuruoke/watermark-removal","homepage":null,"pageUrl":"/repo/watermark-removal","category":"Images & video","tagline":"A machine learning project that removes watermarks from images.","whatItDoes":["Watermark Removal is a project that uses a machine learning technique called image inpainting to remove watermarks from images, filling in the covered areas.","Its maker says the result is meant to look close to the original, un-watermarked image.","It can be run with Docker using a downloaded model, and was inspired by published research on image inpainting."],"whoFor":"Developers and researchers interested in image inpainting techniques.","useWithoutCoding":"Developers only","keywords":["image inpainting","watermark","machine learning","image editing","tensorflow"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Zuruoke Okafor","githubUrl":"https://github.com/zuruoke"},"license":null,"stars":5189,"contributors":6,"monthlyDownloads":null,"lastPushedAt":"2026-08-14T05:56:58Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Server"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"claude-context","name":"Claude Context","repo":"zilliztech/claude-context","githubUrl":"https://github.com/zilliztech/claude-context","homepage":"https://github.com/zilliztech/claude-context/tree/master/docs","pageUrl":"/repo/claude-context","category":"Add-ons for AI coding tools","tagline":"Lets an AI coding assistant search your whole codebase for the right code to use.","whatItDoes":["Claude Context is an add-on for AI coding assistants such as Claude Code. It lets the assistant search across your entire codebase to find the code that matters for a task.","It stores a searchable index of your code in a vector database, a kind of store that finds things by meaning rather than exact words, so the assistant pulls in only the relevant parts.","Its makers say this keeps costs down on large projects, because the assistant no longer has to read whole folders for every request."],"whoFor":"Developers using AI coding assistants who work with large codebases.","useWithoutCoding":"With some setup","keywords":["code search","coding assistant","codebase","semantic search","mcp"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Zilliz","githubUrl":"https://github.com/zilliztech"},"license":"MIT","stars":12624,"contributors":27,"monthlyDownloads":2629,"lastPushedAt":"2026-07-14T12:00:38Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Get an account key for the embedding service and the vector database it uses.","Add the add-on to your AI coding tool using the setup command.","Ask your coding assistant to search the codebase."],"officialDownload":null},{"slug":"have-fun-with-machine-learning","name":"Have Fun with Machine Learning","repo":"humphd/have-fun-with-machine-learning","githubUrl":"https://github.com/humphd/have-fun-with-machine-learning","homepage":null,"pageUrl":"/repo/have-fun-with-machine-learning","category":"Learning resources","tagline":"A hands-on beginner's guide to training an AI that tells dolphins from seahorses in photos.","whatItDoes":["This guide teaches programmers with no AI background how to use machine learning in practice. The goal is to train a neural network that recognizes whether a photo shows a dolphin or a seahorse.","It covers building an image dataset, training a model from scratch, improving it by adapting existing models, and testing it on new pictures. It skips theory and maths on purpose. It uses older tools (Caffe and NVIDIA DIGITS), and is available in English, Chinese and Korean."],"whoFor":"Programmers curious about machine learning who want a friendly, practical first project.","useWithoutCoding":"Yes","keywords":["beginner","image recognition","neural network","tutorial","learn machine learning"],"rating":1.5,"tags":["New this week"],"owner":{"name":"David Humphrey","githubUrl":"https://github.com/humphd"},"license":"NOASSERTION","stars":5116,"contributors":8,"monthlyDownloads":null,"lastPushedAt":"2026-09-04T13:10:29Z","sources":[{"site":"Hacker News","title":"Have Fun with Machine Learning: A Guide for Beginners","url":"https://news.ycombinator.com/item?id=13286121","date":"2016-12-30"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Read the guide on the project page from the beginning."],"officialDownload":null},{"slug":"tsai","name":"tsai","repo":"timeseriesAI/tsai","githubUrl":"https://github.com/timeseriesAI/tsai","homepage":"https://timeseriesai.github.io/tsai/","pageUrl":"/repo/tsai","category":"Developer building blocks","tagline":"A Python library of deep learning models for time series tasks like forecasting and classification.","whatItDoes":["tsai is a code library for working with time series, data recorded over time such as sensor readings or sales. It is built on PyTorch and fastai, two popular AI libraries.","It gathers many deep learning models designed for this kind of data and uses them for classification, regression (predicting a number), forecasting and filling in missing values.","It also lets you download many ready-made datasets for practice and includes tutorials."],"whoFor":"Data scientists and researchers applying deep learning to time-based data.","useWithoutCoding":"Developers only","keywords":["time series","forecasting","deep learning","pytorch","fastai"],"rating":1.5,"tags":["New this week"],"owner":{"name":"timeseriesAI","githubUrl":"https://github.com/timeseriesAI"},"license":"Apache-2.0","stars":6132,"contributors":25,"monthlyDownloads":16091,"lastPushedAt":"2026-07-23T21:55:35Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"t81-558-deep-learning","name":"T81-558: Applications of Deep Neural Networks","repo":"jeffheaton/t81_558_deep_learning","githubUrl":"https://github.com/jeffheaton/t81_558_deep_learning","homepage":"https://sites.wustl.edu/jeffheaton/t81-558/","pageUrl":"/repo/t81-558-deep-learning","category":"Learning resources","tagline":"A free university course on deep learning with Keras and TensorFlow, with notebooks and a textbook.","whatItDoes":["This is the material for a Washington University in St. Louis course on deep learning, the kind of AI built from layered neural networks.","It starts with Python basics and moves through building neural networks for tables of data, images, text and more. The full textbook is included.","The README notes this is the older Keras and TensorFlow version, and current students should use the newer PyTorch version."],"whoFor":"Students and self-learners who know some programming and want to learn deep learning.","useWithoutCoding":"Developers only","keywords":["deep learning course","neural networks","learn ai","tensorflow tutorial"],"rating":1.5,"tags":["Research-backed","New this week"],"owner":{"name":"Jeff Heaton","githubUrl":"https://github.com/jeffheaton"},"license":"NOASSERTION","stars":5731,"contributors":45,"monthlyDownloads":null,"lastPushedAt":"2026-04-25T00:25:09Z","sources":[{"site":"Research paper","title":"Applications of Deep Neural Networks","url":"https://arxiv.org/abs/2009.05673","date":"2020-09-01"},{"site":"Hacker News","title":"Meteorite Self-test check-list","url":"https://news.ycombinator.com/item?id=39784355","date":"2024-03-21"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"llms-practical-guide","name":"The Practical Guides for Large Language Models","repo":"Mooler0410/LLMsPracticalGuide","githubUrl":"https://github.com/Mooler0410/LLMsPracticalGuide","homepage":"https://arxiv.org/abs/2304.13712v2","pageUrl":"/repo/llms-practical-guide","category":"Learning resources","tagline":"A curated reading list on large language models, with a family tree of how models developed.","whatItDoes":["This is a curated list of research papers and guides about large language models, the technology behind tools like ChatGPT. It is based on its authors' survey paper on using these models in practice.","It includes an evolutionary tree showing how well-known models relate to each other over time. The list covers models, training data and different kinds of tasks.","It also notes usage restrictions for models and datasets, such as whether they can be used commercially."],"whoFor":"Students, researchers and practitioners who want an organised starting point on language models.","useWithoutCoding":"Yes","keywords":["reading list","language models","research papers","survey"],"rating":1.5,"tags":["Research-backed","New this week"],"owner":{"name":"Mooler0410","githubUrl":"https://github.com/Mooler0410"},"license":null,"stars":10205,"contributors":14,"monthlyDownloads":null,"lastPushedAt":"2026-04-08T18:26:44Z","sources":[{"site":"Research paper","title":"Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond","url":"https://arxiv.org/abs/2304.13712","date":"2023-04-01"},{"site":"Hacker News","title":"Successful room temperature ambient-pressure magnetic levitation of LK-99","url":"https://news.ycombinator.com/item?id=36994214","date":"2023-08-04"},{"site":"Hacker News","title":"The first room-temperature ambient-pressure superconductor?","url":"https://news.ycombinator.com/item?id=36864624","date":"2023-07-25"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the project page and look at the model family tree.","Pick a section, such as models, data or tasks, and follow the paper links."],"officialDownload":null},{"slug":"llm-scraper","name":"LLM Scraper","repo":"mishushakov/llm-scraper","githubUrl":"https://github.com/mishushakov/llm-scraper","homepage":null,"pageUrl":"/repo/llm-scraper","category":"Developer building blocks","tagline":"A code library that uses AI to pull structured information out of any web page.","whatItDoes":["LLM Scraper is a TypeScript library that loads a web page and asks an AI language model to pull out the information you want in a set shape, such as a list of product names and prices.","You describe the shape of the data you want, and the library returns it in that shape. It can read the page as HTML, plain text, Markdown or a screenshot.","It works with models from OpenAI, Anthropic, Google and open models such as Llama and Qwen, and it can also write reusable scraping code for you."],"whoFor":"Developers who need to collect data from websites.","useWithoutCoding":"Developers only","keywords":["web scraping","extract data","website data","structured data"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Mish Ushakov","githubUrl":"https://github.com/mishushakov"},"license":"MIT","stars":6940,"contributors":4,"monthlyDownloads":2415,"lastPushedAt":"2026-09-10T01:23:00Z","sources":[{"site":"Hacker News","title":"Show HN: LLM Scraper – turn any webpage into structured data","url":"https://news.ycombinator.com/item?id=40100824","date":"2024-04-20"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"basic-pitch","name":"Basic Pitch","repo":"spotify/basic-pitch","githubUrl":"https://github.com/spotify/basic-pitch","homepage":"https://basicpitch.io/","pageUrl":"/repo/basic-pitch","category":"Speech & audio","tagline":"Turns a music recording into MIDI notes, working with almost any instrument, even several at once.","whatItDoes":["Basic Pitch, from Spotify's audio research lab, listens to a music recording and writes out the notes as a MIDI file, a format music software can edit and play back. It even captures pitch bends.","It works with many instruments and can handle several notes at the same time. Its makers say it is small and efficient yet competes with much larger systems.","There's a demo website for trying it on your own audio, and a command-line tool and Python library for regular use."],"whoFor":"Musicians, music producers and developers who want to turn audio into notes.","useWithoutCoding":"Developers only","keywords":["audio to midi","music transcription","pitch detection","notes from audio","spotify"],"rating":1.5,"tags":["Research-backed","New this week"],"owner":{"name":"Spotify","githubUrl":"https://github.com/spotify"},"license":"Apache-2.0","stars":5933,"contributors":27,"monthlyDownloads":436922,"lastPushedAt":"2025-11-13T14:40:46Z","sources":[{"site":"Research paper","title":"A Lightweight Instrument-Agnostic Model for Polyphonic Note Transcription and Multipitch Estimation","url":"https://arxiv.org/abs/2203.09893","date":"2022-03-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"moltworker","name":"Moltworker (OpenClaw on Cloudflare Workers)","repo":"cloudflare/moltworker","githubUrl":"https://github.com/cloudflare/moltworker","homepage":"https://blog.cloudflare.com/moltworker-self-hosted-ai-agent/","pageUrl":"/repo/moltworker","category":"AI agents","tagline":"An experimental way to run the OpenClaw personal AI assistant on Cloudflare's cloud instead of your own computer.","whatItDoes":["This project packages OpenClaw, a personal AI assistant you can chat with through Telegram, Discord, Slack or a web page, so it runs in Cloudflare's cloud. That gives an always-on assistant without keeping your own machine running.","It needs a Cloudflare Workers paid plan and an Anthropic API key for Claude. The README estimates monthly cloud costs and explains how to make the assistant sleep when idle to lower them.","The README describes it as an experimental proof of concept that is not officially supported and may break."],"whoFor":"Technically confident people who want a hosted personal AI assistant and are comfortable with Cloudflare's tools.","useWithoutCoding":"Developers only","keywords":["personal ai assistant","openclaw","cloudflare","telegram bot","always on"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Cloudflare","githubUrl":"https://github.com/cloudflare"},"license":"Apache-2.0","stars":9949,"contributors":13,"monthlyDownloads":null,"lastPushedAt":"2026-05-09T02:37:13Z","sources":[{"site":"Hacker News","title":"1.1.1.1: Fast, privacy-first consumer DNS service","url":"https://news.ycombinator.com/item?id=16727869","date":"2018-04-01"},{"site":"Hacker News","title":"We Stood Up to a Patent Troll and Won","url":"https://news.ycombinator.com/item?id=21447215","date":"2019-11-04"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Cloud"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"superagent","name":"Superagent SDK","repo":"superagent-ai/superagent","githubUrl":"https://github.com/superagent-ai/superagent","homepage":"https://superagent.sh/","pageUrl":"/repo/superagent","category":"AI testing & safety","tagline":"Helps developers protect AI apps from trick instructions, data leaks and harmful outputs.","whatItDoes":["Superagent is a toolkit for making AI apps safer. Its Guard feature spots and blocks prompt injections, hidden instructions that try to trick an AI into misbehaving, as well as unsafe tool use.","Its Redact feature removes personal details and secrets from text, and its Scan feature checks code repositories for content aimed at misleading AI agents. A testing feature is listed as coming soon.","It works with many AI providers and can run some of its own open models on your servers. Using it needs a key from the Superagent service."],"whoFor":"Developers who build AI apps or agents and need safety checks.","useWithoutCoding":"Developers only","keywords":["ai safety","prompt injection","guardrails","redact personal data"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Superagent","githubUrl":"https://github.com/superagent-ai"},"license":"MIT","stars":6766,"contributors":6,"monthlyDownloads":18633,"lastPushedAt":"2026-08-25T09:45:01Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Mac","Windows","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"julep","name":"Julep","repo":"julep-ai/julep","githubUrl":"https://github.com/julep-ai/julep","homepage":"https://docs.julep.ai/","pageUrl":"/repo/julep","category":"AI agents","tagline":"A framework for building AI agents whose workflows can crash and resume safely and explain each step.","whatItDoes":["Julep is a Python framework for building AI agents as step-by-step workflows. Its makers say these workflows can survive crashes and pick up where they left off, retry steps safely, and record why each step happened.","Developers define tools, AI reasoning steps and the flow between them in code. Agents can only use tools they have been explicitly given.","The README says the current version is a release candidate, meaning a near-final test version."],"whoFor":"Developers building reliable AI agent workflows for real products.","useWithoutCoding":"Developers only","keywords":["ai agents","agent workflows","automation","python"],"rating":1.5,"tags":["New this week"],"owner":{"name":"julep-ai","githubUrl":"https://github.com/julep-ai"},"license":"Apache-2.0","stars":6576,"contributors":4,"monthlyDownloads":989,"lastPushedAt":"2026-08-06T05:17:30Z","sources":[{"site":"Hacker News","title":"Show HN: Julep: A platform to manage memories, knowledge and tools for LLM apps","url":"https://news.ycombinator.com/item?id=40357301","date":"2024-05-14"}],"checkedByPerson":false,"cost":null,"runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"klavis","name":"Klavis AI","repo":"Klavis-AI/klavis","githubUrl":"https://github.com/Klavis-AI/klavis","homepage":"https://www.klavis.ai/","pageUrl":"/repo/klavis","category":"Developer building blocks","tagline":"Ready-made connectors that let AI agents use apps like Gmail and Slack reliably.","whatItDoes":["Klavis offers more than a hundred pre-built MCP integrations. MCP is a standard way for AI agents to use outside tools, and these connectors let agents work with services like Gmail, Slack and GitHub, including secure sign-in.","Its \"Strata\" feature helps an agent pick the right tools without overloading it with options. There are also sandboxes for training AI. You can use the hosted cloud service with an API key or run the open-source parts yourself with Docker."],"whoFor":"Developers building AI agents that need to connect to many apps.","useWithoutCoding":"Developers only","keywords":["mcp","integrations","ai agents","connectors","api"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Klavis AI","githubUrl":"https://github.com/Klavis-AI"},"license":"Apache-2.0","stars":5814,"contributors":40,"monthlyDownloads":null,"lastPushedAt":"2026-06-01T21:21:04Z","sources":[{"site":"Hacker News","title":"Show HN: Klavis AI – Open-source MCP integration for AI applications","url":"https://news.ycombinator.com/item?id=43896410","date":"2025-05-05"},{"site":"Hacker News","title":"Show HN: KlavisAI-Open Source MCP Clients on Slack/Discord AndHosted MCP Servers","url":"https://news.ycombinator.com/item?id=43695780","date":"2025-04-15"}],"checkedByPerson":false,"cost":null,"runsOn":["Cloud","Server"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"ai-notes","name":"AI Notes","repo":"swyxio/ai-notes","githubUrl":"https://github.com/swyxio/ai-notes","homepage":"https://latent.space/","pageUrl":"/repo/ai-notes","category":"Learning resources","tagline":"One writer's running notes and reading lists on new AI developments, aimed at software engineers.","whatItDoes":["AI Notes is a set of notes on the state of AI, focused on text and image generation. They are the raw material for the author's Latent Space newsletter.","Separate files cover text and chat models, search, code assistants, audio, image generation, AI infrastructure and agents. The main page gathers example uses, beginner and advanced reading lists, communities, and notes on law, ethics and privacy."],"whoFor":"Software engineers and curious readers who want a guided way into recent AI.","useWithoutCoding":"Yes","keywords":["ai reading list","learn ai","generative ai","newsletter notes"],"rating":1.5,"tags":["New this week"],"owner":{"name":"swyx.io","githubUrl":"https://github.com/swyxio"},"license":"MIT","stars":6250,"contributors":36,"monthlyDownloads":null,"lastPushedAt":"2026-02-16T06:45:25Z","sources":[{"site":"Hacker News","title":"Replit's new Code LLM: Open Source, 77% smaller than Codex, trained in 1 week","url":"https://news.ycombinator.com/item?id=35803435","date":"2023-05-03"},{"site":"Hacker News","title":"AI Engineer Reading List","url":"https://news.ycombinator.com/item?id=42686457","date":"2025-01-13"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the project page and start with the Beginner Reads section."],"officialDownload":null},{"slug":"video-subtitle-extractor","name":"Video-subtitle-extractor (VSE)","repo":"YaoFANGUK/video-subtitle-extractor","githubUrl":"https://github.com/YaoFANGUK/video-subtitle-extractor","homepage":null,"pageUrl":"/repo/video-subtitle-extractor","category":"Images & video","tagline":"Pulls subtitles that are burned into a video and saves them as a subtitle file.","whatItDoes":["Some videos have subtitles printed right into the picture. This tool reads them with text recognition (OCR) and saves them as a separate subtitle file (SRT) or plain text.","It works on your own computer without any online service or API key. It supports many languages, including Chinese, English, Japanese and Korean, can process several videos at once, and removes duplicate lines.","There are fast, automatic and precise modes. A graphics card (GPU) makes it faster and more accurate, but it can also run without one."],"whoFor":"Video editors, language learners and fans who want editable subtitles from videos.","useWithoutCoding":"Yes","keywords":["subtitles","srt","hardsub","ocr","video"],"rating":1.5,"tags":["New this week"],"owner":{"name":"天涯古巷","githubUrl":"https://github.com/YaoFANGUK"},"license":"Apache-2.0","stars":9613,"contributors":9,"monthlyDownloads":null,"lastPushedAt":"2026-04-09T15:27:37Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Linux","Mac"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Download the package from the project's releases page and unzip it.","Open the program, choose a video, adjust the box around the subtitle area, and press Run.","Keep the video and program folders in paths without spaces or Chinese characters, as the README advises."],"officialDownload":"https://github.com/YaoFANGUK/video-subtitle-extractor/releases"},{"slug":"upsonic","name":"Upsonic","repo":"Upsonic/Upsonic","githubUrl":"https://github.com/Upsonic/Upsonic","homepage":"https://docs.upsonic.ai/","pageUrl":"/repo/upsonic","category":"AI agents","tagline":"A Python framework for building AI agents that can work on their own or follow set tasks.","whatItDoes":["Upsonic helps programmers build AI agents, programs that use an AI model to carry out tasks. It supports autonomous agents that work through a job by themselves, and more traditional agents that follow a set task.","Autonomous agents work inside a chosen folder. Its makers say file and command access is limited to that folder and risky commands are blocked.","Agents can be given custom tools, and there is a community collection of ready-made agents to start from."],"whoFor":"Python developers building AI agents.","useWithoutCoding":"Developers only","keywords":["ai agents","python","autonomous agent","agent framework"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Upsonic","githubUrl":"https://github.com/Upsonic"},"license":"MIT","stars":7959,"contributors":41,"monthlyDownloads":6082,"lastPushedAt":"2026-06-18T14:55:50Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"open-browser","name":"Open Browser","repo":"ntegrals/openbrowser","githubUrl":"https://github.com/ntegrals/openbrowser","homepage":null,"pageUrl":"/repo/open-browser","category":"AI agents","tagline":"Lets an AI agent control a web browser to complete tasks on any website.","whatItDoes":["Open Browser is a toolkit for TypeScript developers that gives an AI agent a web browser to use. You describe a task in plain words and the agent clicks, types, scrolls and pulls out information to finish it.","It works with AI models from several providers and can run browser sessions inside a limited, sandboxed environment with resource limits.","It also offers an interactive mode where you can drive a live browser session with commands."],"whoFor":"Developers who want to automate web tasks with an AI agent.","useWithoutCoding":"Developers only","keywords":["browser automation","ai agent","web scraping","typescript","playwright"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Julian Schoen","githubUrl":"https://github.com/ntegrals"},"license":"MIT","stars":9565,"contributors":1,"monthlyDownloads":null,"lastPushedAt":"2026-04-02T12:55:42Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux","Server"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"xianyu-autoagent","name":"Xianyu AutoAgent","repo":"shaxiu/XianyuAutoAgent","githubUrl":"https://github.com/shaxiu/XianyuAutoAgent","homepage":null,"pageUrl":"/repo/xianyu-autoagent","category":"AI agents","tagline":"An AI customer-service bot that answers buyers and handles price haggling on the Xianyu second-hand marketplace.","whatItDoes":["Xianyu AutoAgent is a Chinese-language project that answers buyer messages on Xianyu, a Chinese second-hand marketplace, around the clock. It uses a large language model to reply with the conversation history in mind.","Different \"expert\" prompts handle different kinds of messages, such as price bargaining (with step-by-step discounts), technical questions and general customer service. You can switch a chat back to manual control with a keyword.","It runs with Python and needs an AI model key and your Xianyu web login cookies. The README says it is for learning and exchange only."],"whoFor":"Xianyu sellers and developers interested in AI customer-service bots.","useWithoutCoding":"Developers only","keywords":["customer service bot","chatbot","marketplace","auto reply","seller"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Xiu Jin","githubUrl":"https://github.com/shaxiu"},"license":"GPL-3.0","stars":9406,"contributors":3,"monthlyDownloads":null,"lastPushedAt":"2026-06-10T00:01:09Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"coai","name":"CoAI.Dev","repo":"coaidev/coai","githubUrl":"https://github.com/coaidev/coai","homepage":"https://coai.dev/","pageUrl":"/repo/coai","category":"Chat assistants","tagline":"Software for running your own AI chat website with many AI providers, accounts and billing.","whatItDoes":["CoAI.Dev lets you host a chat site where users talk to models from OpenAI, Anthropic, Google, local models and more, make images, read files and share chats.","Site owners get an admin dashboard for users, subscriptions and prices. A paid business edition with extra features is also offered."],"whoFor":"People or businesses who want to host their own AI chat service.","useWithoutCoding":"With some setup","keywords":["self-hosted chat","chatgpt alternative","ai gateway"],"rating":1.5,"tags":["New this week"],"owner":{"name":"CoAI.Dev","githubUrl":"https://github.com/coaidev"},"license":"Apache-2.0","stars":9332,"contributors":20,"monthlyDownloads":null,"lastPushedAt":"2026-03-12T10:00:31Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Server","Web browser"],"hardware":null,"privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Follow the README's deployment guide to set it up on a server.","Sign in to the admin dashboard and connect your AI providers."],"officialDownload":null},{"slug":"langchain-chinese-guide","name":"LangChain 中文入门教程 (LangChain Chinese Getting Started Guide)","repo":"liaokongVFX/LangChain-Chinese-Getting-Started-Guide","githubUrl":"https://github.com/liaokongVFX/LangChain-Chinese-Getting-Started-Guide","homepage":null,"pageUrl":"/repo/langchain-chinese-guide","category":"Learning resources","tagline":"A beginner tutorial in Chinese for LangChain, a popular toolkit for building apps on top of AI models.","whatItDoes":["This is a Chinese-language beginner's guide to LangChain, a programming toolkit for connecting AI language models to outside data and tools. It explains core ideas such as loaders, documents, text splitting, vector stores and chains.","It walks through example projects, such as answering questions about documents, summarizing content and searching the web with an AI model, with code you can run in Google Colab.","The author notes the guide was written some time ago and LangChain changes quickly, so some code may be out of date."],"whoFor":"Chinese-speaking programmers who want to learn to build AI apps with LangChain.","useWithoutCoding":"Developers only","keywords":["langchain tutorial","chinese","learn ai apps","beginner guide"],"rating":1.5,"tags":["New this week"],"owner":{"name":"了空","githubUrl":"https://github.com/liaokongVFX"},"license":null,"stars":9141,"contributors":10,"monthlyDownloads":null,"lastPushedAt":"2026-04-22T16:31:50Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"surprise","name":"Surprise","repo":"NicolasHug/Surprise","githubUrl":"https://github.com/NicolasHug/Surprise","homepage":"http://surpriselib.com/","pageUrl":"/repo/surprise","category":"Developer building blocks","tagline":"A Python library for building and testing recommendation systems based on user ratings.","whatItDoes":["Recommendation systems suggest things you might like, such as films, based on ratings. Surprise lets programmers build and compare these systems.","It comes with common prediction methods and sample datasets like movie ratings, and tools to measure how well each method works.","It only works with explicit ratings, like star scores, not with signals such as clicks."],"whoFor":"Students, researchers and developers experimenting with recommendation systems.","useWithoutCoding":"Developers only","keywords":["recommendations","recommender system","movie ratings","python"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Nicolas Hug","githubUrl":"https://github.com/NicolasHug"},"license":"BSD-3-Clause","stars":6820,"contributors":46,"monthlyDownloads":61184,"lastPushedAt":"2026-05-30T17:11:41Z","sources":[{"site":"Hacker News","title":"Surprise – a simple recommender system library for Python","url":"https://news.ycombinator.com/item?id=13131149","date":"2016-12-08"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"chandra","name":"Chandra","repo":"datalab-to/chandra","githubUrl":"https://github.com/datalab-to/chandra","homepage":"https://www.datalab.to/","pageUrl":"/repo/chandra","category":"Documents & knowledge","tagline":"An AI model that reads scans and PDFs, including tables, forms and handwriting, and keeps the layout.","whatItDoes":["Chandra is an OCR model. OCR means turning pictures of text, such as scanned pages or PDFs, into text a computer can use. Chandra outputs Markdown, HTML or JSON and keeps track of where things sit on the page.","Its makers say it handles tables, maths, forms with checkboxes and handwriting well, and works in more than 90 languages. It can also pull out images and diagrams and add captions.","You can run it yourself, or use the makers' paid hosted service, which they say is more accurate than the open model."],"whoFor":"Developers and researchers who need to turn large numbers of documents into clean, structured text.","useWithoutCoding":"Developers only","keywords":["ocr","scan to text","pdf to markdown","handwriting recognition","read tables"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Datalab","githubUrl":"https://github.com/datalab-to"},"license":"Apache-2.0","stars":12513,"contributors":5,"monthlyDownloads":8836,"lastPushedAt":"2026-06-26T10:26:47Z","sources":[{"site":"Hacker News","title":"Indra OCR: a 1M-parameter OCR model that reads 49 pages per second on CPU","url":"https://news.ycombinator.com/item?id=50077166","date":"2026-10-13"}],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Linux","Server","Cloud"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Install Chandra with Python's package installer.","Run it on a PDF or image to get structured text, or start its interactive app to try it."],"officialDownload":null},{"slug":"transformer-explainer","name":"Transformer Explainer","repo":"poloclub/transformer-explainer","githubUrl":"https://github.com/poloclub/transformer-explainer","homepage":"https://poloclub.github.io/transformer-explainer/","pageUrl":"/repo/transformer-explainer","category":"Learning resources","tagline":"An interactive web page showing, step by step, how a GPT-style AI model predicts the next word.","whatItDoes":["Transformer Explainer is a visual teaching tool. It runs a small real AI model, GPT-2, right in your web browser. You type some text and watch how the model's inner parts process it to predict what comes next.","It was made by university researchers and is described in a research paper. It is designed so anyone can learn how the technology behind ChatGPT-like tools works, without installing anything."],"whoFor":"Students, teachers and curious people who want to understand how AI language models work inside.","useWithoutCoding":"Yes","keywords":["how chatgpt works","transformer","learn ai","visualization","gpt"],"rating":1.5,"tags":["Research-backed","New this week"],"owner":{"name":"Polo Club of Data Science, Georgia Tech","githubUrl":"https://github.com/poloclub"},"license":"MIT","stars":9005,"contributors":12,"monthlyDownloads":null,"lastPushedAt":"2026-06-06T12:08:04Z","sources":[{"site":"Research paper","title":"Transformer Explainer: Interactive Learning of Text-Generative Models","url":"https://arxiv.org/abs/2408.04619","date":"2024-08-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Open the live demo linked from the project page.","Type your own text and watch how the model processes it step by step."],"officialDownload":null},{"slug":"awesome-llm-strawberry","name":"Awesome LLM Strawberry","repo":"hijkzzz/Awesome-LLM-Strawberry","githubUrl":"https://github.com/hijkzzz/Awesome-LLM-Strawberry","homepage":null,"pageUrl":"/repo/awesome-llm-strawberry","category":"Learning resources","tagline":"A reading list of papers, blogs and talks on how AI models like OpenAI's o1 learn to reason.","whatItDoes":["This is a curated collection of links about 'reasoning' AI models, which think through a problem step by step before answering. 'Strawberry' was a nickname for OpenAI's o1 model.","It gathers news, blog posts, talks, courses and research papers from OpenAI, Google DeepMind, DeepSeek, Anthropic and others. The README says it will keep tracking new work in this area."],"whoFor":"Researchers, students and enthusiasts following how AI reasoning models work.","useWithoutCoding":"Yes","keywords":["ai reasoning","openai o1","research papers","reading list","chain of thought"],"rating":1.5,"tags":["New this week"],"owner":{"name":"hijkzzz","githubUrl":"https://github.com/hijkzzz"},"license":"Apache-2.0","stars":6903,"contributors":28,"monthlyDownloads":null,"lastPushedAt":"2025-12-17T01:42:37Z","sources":[{"site":"Hacker News","title":"Awesome LLM Strawberry (OpenAI o1)","url":"https://news.ycombinator.com/item?id=41554525","date":"2024-09-16"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Browse the sections for news, blogs, talks and papers, and open the links that interest you."],"officialDownload":null},{"slug":"var","name":"VAR (Visual Autoregressive Modeling)","repo":"FoundationVision/VAR","githubUrl":"https://github.com/FoundationVision/VAR","homepage":null,"pageUrl":"/repo/var","category":"AI models & research","tagline":"A research method and models that create images by drawing them coarse to fine, one level of detail at a time.","whatItDoes":["VAR is a research project on a new way for AI to create images. Instead of filling in an image pixel by pixel, it starts with a blurry, low-detail version and adds finer and finer detail.","Its makers say this lets GPT-style models, the kind behind chatbots, beat diffusion models, another popular image method, in their tests. They also report that results improve predictably as the models get bigger.","The project shares trained models and code. Its makers have since built text-to-image and text-to-video projects on top of it."],"whoFor":"AI researchers and students interested in image generation.","useWithoutCoding":"Developers only","keywords":["image generation","research","ai art","autoregressive"],"rating":1.5,"tags":["Research-backed","New this week"],"owner":{"name":"FoundationVision","githubUrl":"https://github.com/FoundationVision"},"license":"MIT","stars":8757,"contributors":4,"monthlyDownloads":null,"lastPushedAt":"2025-11-10T21:42:29Z","sources":[{"site":"Research paper","title":"Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction","url":"https://arxiv.org/abs/2404.02905","date":"2024-04-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"gitmcp","name":"GitMCP","repo":"idosal/git-mcp","githubUrl":"https://github.com/idosal/git-mcp","homepage":"https://gitmcp.io/","pageUrl":"/repo/gitmcp","category":"Add-ons for AI coding tools","tagline":"A free online connector that gives AI coding assistants up-to-date documentation for any GitHub project.","whatItDoes":["AI coding assistants sometimes make up code for libraries they don't know well. GitMCP is an MCP server (a standard plug-in that gives AI tools extra information) that lets them read the latest documentation and code of any project on GitHub.","You just add a special web address for the project to your AI tool, such as Cursor, Claude Desktop, VS Code or Windsurf. There is also a general version that lets the assistant pick which project to look up.","Its makers say it runs in the cloud with nothing to install, is free, and doesn't store your questions. It can also be self-hosted, and there's an in-browser chat for asking about a project's docs."],"whoFor":"Programmers using AI coding assistants who want more accurate help with specific libraries.","useWithoutCoding":"With some setup","keywords":["mcp server","documentation","github","cursor","fewer hallucinations"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Ido Salomon","githubUrl":"https://github.com/idosal"},"license":"Apache-2.0","stars":8471,"contributors":16,"monthlyDownloads":null,"lastPushedAt":"2026-05-08T14:21:24Z","sources":[{"site":"Hacker News","title":"GitMCP: Transforms any GitHub project into an MCP endpoint","url":"https://news.ycombinator.com/item?id=43611382","date":"2025-04-07"}],"checkedByPerson":false,"cost":"Free","runsOn":["Cloud","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Pick the GitHub project you want help with and turn its address into a GitMCP address using the tool on the project's website.","Add that address as an MCP server in your AI coding tool's settings."],"officialDownload":null},{"slug":"agentops","name":"AgentOps","repo":"AgentOps-AI/agentops","githubUrl":"https://github.com/AgentOps-AI/agentops","homepage":"https://agentops.ai/","pageUrl":"/repo/agentops","category":"Running AI at scale","tagline":"Tracks what AI agents do, step by step, and how much they cost, so developers can debug them.","whatItDoes":["AgentOps helps developers watch and debug AI agents. With a couple of lines of code, it records every AI call an agent makes and shows the run as a step-by-step replay on a dashboard.","It tracks the cost of each AI provider, helps compare and test agents, and works with popular agent frameworks such as CrewAI, AutoGen, LangGraph and the OpenAI Agents SDK.","You can use the makers' online dashboard with an AgentOps key, or run the whole app on your own machine, since it is open source."],"whoFor":"Developers building AI agents who need to see what went wrong and what it cost.","useWithoutCoding":"Developers only","keywords":["agent monitoring","llm cost","debugging","observability","replay"],"rating":1.5,"tags":["New this week"],"owner":{"name":"AgentOps","githubUrl":"https://github.com/AgentOps-AI"},"license":"MIT","stars":5896,"contributors":49,"monthlyDownloads":94654,"lastPushedAt":"2026-06-25T08:25:03Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Cloud","Server"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"ccpm","name":"CCPM","repo":"automazeio/ccpm","githubUrl":"https://github.com/automazeio/ccpm","homepage":"https://automaze.io/","pageUrl":"/repo/ccpm","category":"Add-ons for AI coding tools","tagline":"A project-management skill that helps AI coding agents plan work as GitHub issues and build in parallel.","whatItDoes":["CCPM is a skill (a set of instructions) for AI coding agents such as Claude Code, Codex and Cursor. It gives the agent a structured way to work: turning an idea into a product requirements document, then into a plan, then into tasks tracked as GitHub issues.","Several agents can then work on separate tasks at the same time, with each step traced back to the original plan. Its makers say this cuts down on lost context and drifting requirements.","It follows the shared Agent Skills format, so it works with many compatible tools."],"whoFor":"Software teams and solo developers who use AI coding agents on larger projects.","useWithoutCoding":"Developers only","keywords":["project management","ai coding agent","github issues","claude code skill"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Automaze","githubUrl":"https://github.com/automazeio"},"license":"MIT","stars":8412,"contributors":9,"monthlyDownloads":null,"lastPushedAt":"2026-03-18T12:15:24Z","sources":[{"site":"Hacker News","title":"Show HN: Project management system for Claude Code","url":"https://news.ycombinator.com/item?id=44960594","date":"2025-08-20"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Download a copy of the project.","Add its skill folder to your AI coding agent's skills folder.","Ask your agent to start a new product plan and follow the steps."],"officialDownload":null},{"slug":"asrt-speechrecognition","name":"ASRT","repo":"nl8590687/ASRT_SpeechRecognition","githubUrl":"https://github.com/nl8590687/ASRT_SpeechRecognition","homepage":"https://www.ailemon.net/asrt","pageUrl":"/repo/asrt-speechrecognition","category":"Speech & audio","tagline":"A speech recognition system that turns spoken Chinese into text.","whatItDoes":["ASRT is a deep-learning system for Chinese speech recognition. You can train your own model or use the released server program, which includes trained models.","It can run as a server that other apps connect to. The README is mainly in Chinese and says training needs a strong graphics card."],"whoFor":"Developers and researchers working with Chinese speech-to-text.","useWithoutCoding":"Developers only","keywords":["chinese speech recognition","speech to text","transcribe"],"rating":1.5,"tags":["New this week"],"owner":{"name":"nl8590687","githubUrl":"https://github.com/nl8590687"},"license":"GPL-3.0","stars":8392,"contributors":13,"monthlyDownloads":null,"lastPushedAt":"2026-04-10T15:33:28Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Windows"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":"https://github.com/nl8590687/ASRT_SpeechRecognition/releases"},{"slug":"copilot-for-xcode","name":"Copilot for Xcode","repo":"intitni/CopilotForXcode","githubUrl":"https://github.com/intitni/CopilotForXcode","homepage":"https://copilotforxcode.intii.com/","pageUrl":"/repo/copilot-for-xcode","category":"Coding assistants","tagline":"Adds AI code suggestions and chat from GitHub Copilot, Codeium and ChatGPT to Apple's Xcode.","whatItDoes":["Copilot for Xcode is an extension for Xcode, Apple's app for building iPhone and Mac software. It brings AI coding help into the editor.","It offers code suggestions as you type, a chat for asking questions about code, and a way to change code by describing what you want. You can also create your own custom commands.","Suggestions need a GitHub Copilot subscription or a Codeium account, and the chat features need an OpenAI API key or access to another AI model."],"whoFor":"Apple developers who write code in Xcode and want AI assistance.","useWithoutCoding":"With some setup","keywords":["xcode ai","github copilot","swift","code completion","ios development"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Shx Guo","githubUrl":"https://github.com/intitni"},"license":"MIT","stars":8209,"contributors":13,"monthlyDownloads":null,"lastPushedAt":"2026-04-15T16:09:41Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Download the app from the project's releases page, or install it with Homebrew.","Turn on the extension in your Mac's settings and grant the permissions the README lists.","Sign in to GitHub Copilot or Codeium, or add an OpenAI key, to start getting suggestions."],"officialDownload":"https://github.com/intitni/CopilotForXcode/releases"},{"slug":"dopamine","name":"Dopamine","repo":"google/dopamine","githubUrl":"https://github.com/google/dopamine","homepage":"https://github.com/google/dopamine","pageUrl":"/repo/dopamine","category":"AI models & research","tagline":"A small research toolkit for trying out ideas in reinforcement learning, where AI learns by trial and error.","whatItDoes":["Dopamine is a research framework for reinforcement learning, a type of AI that learns by trying actions and getting rewards, for example by playing video games.","It aims to be small and easy to understand so researchers can test new ideas quickly. It includes ready-made versions of several well-known learning methods and supports classic Atari games and physics simulations as test worlds.","The README notes it is not an official Google product."],"whoFor":"AI researchers and students studying reinforcement learning.","useWithoutCoding":"Developers only","keywords":["reinforcement learning","game ai","research","atari"],"rating":1.5,"tags":["Research-backed","New this week"],"owner":{"name":"Google","githubUrl":"https://github.com/google"},"license":"Apache-2.0","stars":10926,"contributors":15,"monthlyDownloads":42672,"lastPushedAt":"2026-03-24T18:11:40Z","sources":[{"site":"Research paper","title":"Dopamine: A Research Framework for Deep Reinforcement Learning","url":"https://arxiv.org/abs/1812.06110","date":"2018-12-01"},{"site":"Hacker News","title":"Google Dopamine: a research framework for prototyping of reinforcement learning","url":"https://news.ycombinator.com/item?id=18357632","date":"2018-11-01"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Mac"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"minecontext","name":"MineContext","repo":"volcengine/MineContext","githubUrl":"https://github.com/volcengine/MineContext","homepage":null,"pageUrl":"/repo/minecontext","category":"Everyday tools","tagline":"A desktop AI helper that watches your screen and gives you summaries, to-do lists and reminders.","whatItDoes":["MineContext takes screenshots of what you are doing on your computer and uses AI to understand it. From this, its makers say it proactively offers insights, daily and weekly summaries, to-do lists and activity records.","It stores your data on your own computer by default. You can connect Doubao, OpenAI or any service that follows OpenAI's format, including local models, so that nothing leaves your machine.","The makers say support for documents, images, videos and other sources is planned."],"whoFor":"People who want an AI to keep track of their work and remind them of what matters.","useWithoutCoding":"Yes","keywords":["screen recorder ai","daily summary","to-do list","personal assistant"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Volcengine","githubUrl":"https://github.com/volcengine"},"license":"Apache-2.0","stars":5539,"contributors":33,"monthlyDownloads":null,"lastPushedAt":"2026-05-07T13:23:05Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Download the app for Mac or Windows from the project's releases page.","Open it and enter an API key for Doubao, OpenAI or a compatible service, or set up a local model.","Start recording and let it build your summaries."],"officialDownload":"https://github.com/volcengine/MineContext/releases"},{"slug":"fun-rec","name":"FunRec","repo":"datawhalechina/fun-rec","githubUrl":"https://github.com/datawhalechina/fun-rec","homepage":null,"pageUrl":"/repo/fun-rec","category":"Learning resources","tagline":"A free Chinese-language book on how recommendation systems work, from classic methods to AI-generated ones.","whatItDoes":["FunRec is an online textbook, written in Chinese, about recommendation systems: the software that decides which videos, products or posts to show each person.","The first half covers the classic approach, such as finding similar users and items and ranking results. The second half covers newer methods that use large AI models and other generative techniques.","It ends with a chapter on building a full production system. It is made by Datawhale, an AI learning community, and the README says it is still being written."],"whoFor":"Chinese-speaking students and engineers learning how recommendation algorithms work.","useWithoutCoding":"Yes","keywords":["recommendation system","textbook","machine learning","chinese","algorithms"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Datawhale","githubUrl":"https://github.com/datawhalechina"},"license":null,"stars":7427,"contributors":21,"monthlyDownloads":null,"lastPushedAt":"2026-06-27T19:31:01Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the online version of the book from the project page.","Start with the overview chapter and work through the chapters in order."],"officialDownload":null},{"slug":"maths-cs-ai-compendium","name":"Maths, CS & AI Compendium","repo":"HenryNdubuaku/maths-cs-ai-compendium","githubUrl":"https://github.com/HenryNdubuaku/maths-cs-ai-compendium","homepage":null,"pageUrl":"/repo/maths-cs-ai-compendium","category":"Learning resources","tagline":"A free online textbook that explains maths, computing and AI from the ground up, intuition first.","whatItDoes":["This is an open textbook covering the maths, computer science and AI ideas behind modern machine learning. Its author says it puts intuition and real-world context ahead of dense notation.","Chapters run from vectors, matrices, calculus, statistics and probability through machine learning, language, vision, audio, multimodal AI, robotics, graph networks, operating systems, algorithms and production software engineering.","You can read it online. It also includes an MCP server, a connector that lets AI assistants like Claude Code or Cursor use the book as a reference."],"whoFor":"Self-learners, students and engineers who want a deeper understanding of the ideas behind AI.","useWithoutCoding":"Yes","keywords":["ai textbook","learn machine learning","maths for ai","computer science","free book"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Henry Ndubuaku","githubUrl":"https://github.com/HenryNdubuaku"},"license":"Apache-2.0","stars":7662,"contributors":8,"monthlyDownloads":null,"lastPushedAt":"2026-07-18T22:19:35Z","sources":[{"site":"Hacker News","title":"Show HN: Maths, CS and AI Compendium","url":"https://news.ycombinator.com/item?id=47036063","date":"2026-02-16"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Open the online version linked at the top of the README.","Start with the chapter that matches what you want to learn."],"officialDownload":null},{"slug":"lightning-hydra-template","name":"Lightning-Hydra-Template","repo":"ashleve/lightning-hydra-template","githubUrl":"https://github.com/ashleve/lightning-hydra-template","homepage":null,"pageUrl":"/repo/lightning-hydra-template","category":"Training & fine-tuning","tagline":"A ready-made project layout for starting deep-learning experiments with less setup work.","whatItDoes":["This is a starter template for deep-learning projects. It combines PyTorch Lightning, which organizes model-training code, with Hydra, which manages settings through configuration files.","It sets up folders, settings, experiment tracking, logging, testing and searching for the best training settings, so researchers can focus on their models. It is heavily commented and can double as a learning resource.","The README is honest about limits: things can break as the underlying tools change, and it is built for simple training setups. It is an unofficial community project."],"whoFor":"Machine-learning researchers and students starting new model-training projects.","useWithoutCoding":"Developers only","keywords":["deep learning template","pytorch","experiments","project setup"],"rating":1.5,"tags":["New this week"],"owner":{"name":"ashleve","githubUrl":"https://github.com/ashleve"},"license":null,"stars":5368,"contributors":32,"monthlyDownloads":null,"lastPushedAt":"2026-06-11T21:52:45Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"guizang-social-card-skill","name":"Guizang Social Card Skill","repo":"op7418/guizang-social-card-skill","githubUrl":"https://github.com/op7418/guizang-social-card-skill","homepage":"https://github.com/op7418/guizang-social-card-skill","pageUrl":"/repo/guizang-social-card-skill","category":"Add-ons for AI coding tools","tagline":"A skill that has Claude Code or Codex design image posts and covers for Xiaohongshu and WeChat.","whatItDoes":["This is a skill for AI assistants such as Claude Code and Codex that turns articles, notes, photos or videos into designed image sets for the Chinese social apps Xiaohongshu (Rednote) and WeChat.","It offers two visual styles, a calm magazine look and a grid-based Swiss look, with 28 layouts and 10 colour themes. It can also make short Live Photo cards from your videos and checks its own layouts for problems like overflowing text.","The README is mainly in Chinese, with an English version available."],"whoFor":"Content creators and marketers who post on Xiaohongshu or WeChat and use an AI coding assistant.","useWithoutCoding":"With some setup","keywords":["social media images","xiaohongshu","rednote","wechat cover","carousel"],"rating":1.5,"tags":["New this week"],"owner":{"name":"歸藏","githubUrl":"https://github.com/op7418"},"license":"AGPL-3.0","stars":7577,"contributors":2,"monthlyDownloads":null,"lastPushedAt":"2026-07-01T16:39:11Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Set up an AI assistant that can run commands, such as Claude Code or Codex.","Ask it to install this skill from the project's GitHub page.","Ask it to turn an article or photos into a set of social cards."],"officialDownload":null},{"slug":"zotero-gpt","name":"Zotero GPT","repo":"MuiseDestiny/zotero-gpt","githubUrl":"https://github.com/MuiseDestiny/zotero-gpt","homepage":null,"pageUrl":"/repo/zotero-gpt","category":"Documents & knowledge","tagline":"A Zotero plug-in that lets you ask AI questions about your research papers.","whatItDoes":["Zotero GPT is an add-on for Zotero, the reference manager, that connects it to an AI chat model.","You can ask questions about the PDF you are reading or about a selected paper, summarise papers into a few sentences, and search your library using plain-language text.","You add your own AI service key in the plug-in's settings."],"whoFor":"Researchers and students who use Zotero and want AI help reading and searching papers.","useWithoutCoding":"With some setup","keywords":["zotero","research papers","summarise","pdf","reference manager"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Polygon","githubUrl":"https://github.com/MuiseDestiny"},"license":"AGPL-3.0","stars":7481,"contributors":11,"monthlyDownloads":null,"lastPushedAt":"2026-05-01T22:47:34Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Download the plug-in file from the project's releases page.","Install it in Zotero from the add-ons menu.","Open its settings and add your AI service key."],"officialDownload":"https://github.com/MuiseDestiny/zotero-gpt/releases/latest"},{"slug":"chatrwkv","name":"ChatRWKV","repo":"BlinkDL/ChatRWKV","githubUrl":"https://github.com/BlinkDL/ChatRWKV","homepage":null,"pageUrl":"/repo/chatrwkv","category":"AI models & research","tagline":"A ChatGPT-like chatbot powered by RWKV, an open language model built in a different way from most.","whatItDoes":["ChatRWKV is a chatbot built on RWKV, an open AI language model. Most chat models use a design called a transformer; RWKV uses an older design called an RNN.","Its creator says RWKV matches transformers in quality while being faster and using less graphics card memory. The repository has demo scripts for chatting with the model and building your own.","The README links to online demos, the model files, and community projects including a phone app and an easier desktop interface."],"whoFor":"Developers and researchers interested in running or building on RWKV models.","useWithoutCoding":"Developers only","keywords":["rwkv","open model","chatbot","language model"],"rating":1.5,"tags":["Research-backed","New this week"],"owner":{"name":"PENG Bo","githubUrl":"https://github.com/BlinkDL"},"license":"Apache-2.0","stars":9493,"contributors":18,"monthlyDownloads":5162,"lastPushedAt":"2026-07-19T19:09:29Z","sources":[{"site":"Research paper","title":"RWKV preprint","url":"https://arxiv.org/abs/2305.13048","date":"2023-05-01"},{"site":"Research paper","title":"RWKV-7 paper","url":"https://arxiv.org/abs/2503.14456","date":"2025-03-01"},{"site":"Hacker News","title":"ChatRWKV, like ChatGPT but powered by the RWKV (RNN-based, open) language model","url":"https://news.ycombinator.com/item?id=34445873","date":"2023-01-19"}],"checkedByPerson":false,"cost":"Free","runsOn":["Windows","Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"face-alignment","name":"Face Alignment","repo":"1adrianb/face-alignment","githubUrl":"https://github.com/1adrianb/face-alignment","homepage":"https://www.adrianbulat.com/","pageUrl":"/repo/face-alignment","category":"Developer building blocks","tagline":"A Python library that finds key points on faces in photos, such as eyes, nose and mouth.","whatItDoes":["Face Alignment finds facial landmarks: the precise positions of features like the corners of the eyes, the tip of the nose and the outline of the lips. It can give these as flat 2D points or as 3D points.","It first spots the faces in an image, with a choice of face detectors that trade speed for accuracy, and can process a whole folder of pictures at once.","Its makers describe its method as highly accurate. It runs on an ordinary computer, but a graphics card makes it much faster."],"whoFor":"Developers and researchers building apps that analyse faces, such as filters, animation or research tools.","useWithoutCoding":"Developers only","keywords":["face landmarks","face detection","computer vision","python"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Adrian Bulat","githubUrl":"https://github.com/1adrianb"},"license":"BSD-3-Clause","stars":7546,"contributors":26,"monthlyDownloads":52851,"lastPushedAt":"2026-04-06T22:19:17Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Windows","Mac"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"llm4decompile","name":"LLM4Decompile","repo":"albertan017/LLM4Decompile","githubUrl":"https://github.com/albertan017/LLM4Decompile","homepage":"https://aclanthology.org/2024.emnlp-main.203","pageUrl":"/repo/llm4decompile","category":"AI models & research","tagline":"Research AI models that turn compiled programs back into readable source code.","whatItDoes":["When software is built, its human-readable code is turned into machine code. Decompiling tries to reverse this. LLM4Decompile is a family of AI models trained to do that for Linux programs, producing C code.","Some versions work straight from the machine code; others improve the rough output of an existing tool called Ghidra. The models come in several sizes and are shared on Hugging Face.","The project also publishes test sets and training data so others can measure and build on the results."],"whoFor":"Researchers and engineers working on reverse engineering and program analysis.","useWithoutCoding":"Developers only","keywords":["decompiler","reverse engineering","binary code","code ai"],"rating":1.5,"tags":["Research-backed","New this week"],"owner":{"name":"albertan017","githubUrl":"https://github.com/albertan017"},"license":"MIT","stars":7143,"contributors":5,"monthlyDownloads":null,"lastPushedAt":"2026-02-12T03:02:03Z","sources":[{"site":"Research paper","title":"LLM4Decompile: Decompiling Binary Code with Large Language Models","url":"https://arxiv.org/abs/2403.05286","date":"2024-03-01"},{"site":"Hacker News","title":"LLM4Decompile: Decompiling Binary Code with LLM","url":"https://news.ycombinator.com/item?id=39733275","date":"2024-03-17"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux"],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"chinese-llama-alpaca-2","name":"Chinese-LLaMA-Alpaca-2","repo":"ymcui/Chinese-LLaMA-Alpaca-2","githubUrl":"https://github.com/ymcui/Chinese-LLaMA-Alpaca-2","homepage":null,"pageUrl":"/repo/chinese-llama-alpaca-2","category":"AI models & research","tagline":"Versions of Meta's Llama 2 AI model adapted to understand and write Chinese much better.","whatItDoes":["This project takes Meta's Llama 2 language model and trains it further on Chinese text, with a larger Chinese vocabulary, so it handles Chinese much better. It offers base models for continuing text and \"Alpaca\" chat models for questions and conversation.","There are several sizes, plus versions that can read very long texts and versions tuned with human feedback to give more appropriate answers.","The project shares its training scripts and explains how to shrink the models to run on a personal computer with popular tools. The README now points people to a newer third-generation project."],"whoFor":"Developers and researchers who want an open Chinese-language AI model to run or adapt.","useWithoutCoding":"Developers only","keywords":["chinese llm","llama 2","chinese chatbot","local ai","open model"],"rating":1.5,"tags":["Research-backed","New this week"],"owner":{"name":"Yiming Cui","githubUrl":"https://github.com/ymcui"},"license":"Apache-2.0","stars":7103,"contributors":8,"monthlyDownloads":null,"lastPushedAt":"2026-04-19T00:58:50Z","sources":[{"site":"Research paper","title":"Position Interpolation for extending context length (method used, linked in the README)","url":"https://arxiv.org/abs/2306.15595","date":"2023-06-01"},{"site":"Research paper","title":"YaRN for extending context length (method used, linked in the README)","url":"https://arxiv.org/abs/2309.00071","date":"2023-09-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"aidea","name":"AIdea","repo":"mylxsw/aidea","githubUrl":"https://github.com/mylxsw/aidea","homepage":"https://ai.aicode.cc/","pageUrl":"/repo/aidea","category":"Chat assistants","tagline":"An app that brings popular AI chat and image-generation models together in one place.","whatItDoes":["AIdea is an app that combines popular large language models, the technology behind ChatGPT, with AI image-generation models. It's built with Flutter, so it runs on phones and desktop computers.","The app can be downloaded from the project's website, which runs a hosted service. People who prefer can set up their own server using the separate server and Docker projects.","The README says the main branch is a new version in active development, and self-hosters should use the older version branch."],"whoFor":"People who want one app for several AI chat and image models, and developers who want to host their own.","useWithoutCoding":"Yes","keywords":["ai chat app","chatgpt alternative","image generation","mobile app"],"rating":1.5,"tags":["New this week"],"owner":{"name":"mylxsw","githubUrl":"https://github.com/mylxsw"},"license":"MIT","stars":6943,"contributors":8,"monthlyDownloads":null,"lastPushedAt":"2026-03-04T15:28:00Z","sources":[],"checkedByPerson":false,"cost":null,"runsOn":["Phone","Mac","Windows"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Download the app for your device from the project's website.","Open the app and start a chat or create an image."],"officialDownload":null},{"slug":"claude-code-usage-monitor","name":"Claude Code Usage Monitor","repo":"Maciek-roboblog/Claude-Code-Usage-Monitor","githubUrl":"https://github.com/Maciek-roboblog/Claude-Code-Usage-Monitor","homepage":null,"pageUrl":"/repo/claude-code-usage-monitor","category":"Add-ons for AI coding tools","tagline":"A live terminal display of how much of your Claude Code usage limit you've used, with warnings.","whatItDoes":["Claude Code, Anthropic's AI coding tool, has usage limits that reset over time. This monitor shows a live view in the terminal of your tokens, messages and cost, and predicts when you'll hit your limit.","It can read Claude Code's official limit figures and clearly labels which numbers are official and which are its own estimates. It can learn your usual usage to set personal limits.","It can optionally keep a local history of your usage longer than Claude keeps it, and export reports. Its makers describe it as privacy-first."],"whoFor":"People who use Claude Code heavily and want to avoid running into usage limits unexpectedly.","useWithoutCoding":"With some setup","keywords":["claude code","usage limits","token tracker","monitor","cost"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Maciej","githubUrl":"https://github.com/Maciek-roboblog"},"license":"MIT","stars":8746,"contributors":7,"monthlyDownloads":8929,"lastPushedAt":"2026-07-05T04:52:21Z","sources":[{"site":"Hacker News","title":"Show HN: Claude Code Usage Monitor – real-time tracker to dodge usage cut-offs","url":"https://news.ycombinator.com/item?id=44317012","date":"2025-06-19"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install Python, then install the monitor with a Python package tool.","Run it in a terminal while you use Claude Code to see your usage live."],"officialDownload":null},{"slug":"awesome-vibe-coding","name":"Awesome Vibe Coding","repo":"filipecalegario/awesome-vibe-coding","githubUrl":"https://github.com/filipecalegario/awesome-vibe-coding","homepage":null,"pageUrl":"/repo/awesome-vibe-coding","category":"Learning resources","tagline":"A curated list of tools and guides for \"vibe coding\": building software by chatting with AI.","whatItDoes":["Vibe coding means describing what you want and letting AI write most of the code. This list collects resources about it.","It covers browser-based app builders, code editors, phone apps, plug-ins, desktop apps, command-line tools, task and documentation tools for AI coding, plus communities and news."],"whoFor":"Beginners and developers curious about building apps with AI help.","useWithoutCoding":"Yes","keywords":["vibe coding","ai app builder","no-code","ai coding tools"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Filipe Calegario","githubUrl":"https://github.com/filipecalegario"},"license":"CC0-1.0","stars":5331,"contributors":28,"monthlyDownloads":null,"lastPushedAt":"2026-04-16T01:34:11Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the list on GitHub and browse sections like browser-based tools.","Follow a link to try any tool that interests you."],"officialDownload":null},{"slug":"jaaz","name":"Jaaz","repo":"11cafe/jaaz","githubUrl":"https://github.com/11cafe/jaaz","homepage":"https://jaaz.app/","pageUrl":"/repo/jaaz","category":"Images & video","tagline":"A desktop creative app with an AI agent and an endless canvas for making images, videos and storyboards.","whatItDoes":["Jaaz is a design app where you create images and videos by chatting with an AI agent or sketching on an endless canvas. Its makers call it an open-source alternative to Canva that puts privacy first.","From one prompt it can produce pictures or short videos using models like GPT-4o, Midjourney, Veo 3 and Kling. You can also draw arrows and rough shapes to show what you want, plan scenes as storyboards, and keep characters consistent.","It can run local models through ComfyUI and Ollama, or use cloud models after logging in to a low-cost paid plan. There is a paid enterprise edition for companies."],"whoFor":"Content creators, marketers and designers who want an AI-powered creative canvas on their own computer.","useWithoutCoding":"Yes","keywords":["canva alternative","ai image generator","ai video","storyboard","design app"],"rating":1.5,"tags":["New this week"],"owner":{"name":"11cafe","githubUrl":"https://github.com/11cafe"},"license":"NOASSERTION","stars":6709,"contributors":13,"monthlyDownloads":null,"lastPushedAt":"2026-03-02T03:46:42Z","sources":[],"checkedByPerson":false,"cost":"Free, with optional paid extras","runsOn":["Mac","Windows"],"hardware":null,"privacy":"Your choice: run it on your device or use an online service","needsApiKey":false,"firstSteps":["Download the app for Windows or Mac from the project's releases page or website.","Log in inside the app to use cloud image and video models, or connect local models through ComfyUI or Ollama.","Chat with the agent or sketch on the canvas to create images and storyboards."],"officialDownload":"https://github.com/11cafe/jaaz/releases"},{"slug":"bertviz","name":"BertViz","repo":"jessevig/bertviz","githubUrl":"https://github.com/jessevig/bertviz","homepage":null,"pageUrl":"/repo/bertviz","category":"AI models & research","tagline":"An interactive tool that shows which words an AI language model pays attention to.","whatItDoes":["Language models use a mechanism called attention to decide which words matter to each other. BertViz draws this as interactive pictures so you can see what is happening inside the model.","It offers several views: one layer at a time, a bird's-eye view of the whole model, and a close look at individual parts of the calculation. It works with most models from the Hugging Face library.","It runs inside Jupyter or Google Colab notebooks, and there is a ready-made Colab tutorial with all the views loaded."],"whoFor":"Students, teachers and researchers who want to understand or explain how transformer models work.","useWithoutCoding":"Developers only","keywords":["ai attention","visualize transformer","explainable ai","bert"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Jesse Vig","githubUrl":"https://github.com/jessevig"},"license":"Apache-2.0","stars":8201,"contributors":6,"monthlyDownloads":3061,"lastPushedAt":"2026-01-08T22:38:46Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Open the project's interactive Colab tutorial, which runs in your web browser with the views already loaded."],"officialDownload":null},{"slug":"backgroundremover","name":"BackgroundRemover","repo":"nadermx/backgroundremover","githubUrl":"https://github.com/nadermx/backgroundremover","homepage":"https://backgroundremoverai.com/","pageUrl":"/repo/backgroundremover","category":"Images & video","tagline":"A free tool that uses AI to cut the background out of photos and videos.","whatItDoes":["BackgroundRemover removes the background from images and videos, leaving just the person or object. It runs from the command line, the text window where you type instructions to the computer.","The AI models it needs download automatically the first time you use it. It can work on an ordinary processor, or faster on a graphics card.","It can also be used from Python code or run inside Docker."],"whoFor":"People comfortable with a little technical setup who want free background removal, and developers adding it to their own tools.","useWithoutCoding":"With some setup","keywords":["remove background","cut out","photo editing","video background"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Johnathan Nader","githubUrl":"https://github.com/nadermx"},"license":"MIT","stars":8110,"contributors":18,"monthlyDownloads":3300,"lastPushedAt":"2026-07-10T01:20:32Z","sources":[{"site":"Hacker News","title":"Open source Background Remover: Remove Background from images and video using AI","url":"https://news.ycombinator.com/item?id=35838504","date":"2023-05-06"}],"checkedByPerson":false,"cost":"Free","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install Python, PyTorch and the free tool ffmpeg on your computer.","Install BackgroundRemover using Python's package installer."],"officialDownload":null},{"slug":"rspapers","name":"RSPapers","repo":"hongleizhang/RSPapers","githubUrl":"https://github.com/hongleizhang/RSPapers","homepage":null,"pageUrl":"/repo/rspapers","category":"Learning resources","tagline":"A curated list of must-read research papers and tutorials on recommender systems.","whatItDoes":["Recommender systems are the AI behind suggestions like 'you might also like' on shopping, video and music sites. RSPapers is a curated list of research papers and tutorials about them.","It is organised by topic, including surveys, deep learning, social recommendations, cold start (suggesting things for new users), explainability, privacy, and newer areas such as using large language models and AI agents."],"whoFor":"Students and researchers learning about or working on recommendation systems.","useWithoutCoding":"Yes","keywords":["recommendations","reading list","research papers","recommender systems"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Honglei Zhang","githubUrl":"https://github.com/hongleizhang"},"license":"MIT","stars":6519,"contributors":20,"monthlyDownloads":null,"lastPushedAt":"2026-03-12T13:22:40Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the project page and pick a topic from the list.","Start with the tutorials and surveys sections if you are new to the field."],"officialDownload":null},{"slug":"vlm-r1","name":"VLM-R1","repo":"om-ai-lab/VLM-R1","githubUrl":"https://github.com/om-ai-lab/VLM-R1","homepage":null,"pageUrl":"/repo/vlm-r1","category":"AI models & research","tagline":"Research models and training code that teach image-understanding AI to reason, using reinforcement learning.","whatItDoes":["VLM-R1 is a research project on vision-language models, AI that understands both pictures and text. It applies the training approach made popular by DeepSeek-R1, where the model learns by being rewarded for good answers (reinforcement learning).","The team trained models to find an object in a picture from a written description, to spot objects by name, and to solve maths problems. They report that this approach handled unfamiliar examples better than standard fine-tuning.","The repository includes training code, released models and online demos. It supports popular open models such as Qwen-VL and InternVL."],"whoFor":"AI researchers and engineers working on models that reason about images.","useWithoutCoding":"Developers only","keywords":["vision language model","reinforcement learning","object detection","research","deepseek r1"],"rating":1.5,"tags":["Research-backed","New this week"],"owner":{"name":"OmAI Lab","githubUrl":"https://github.com/om-ai-lab"},"license":"Apache-2.0","stars":6036,"contributors":22,"monthlyDownloads":null,"lastPushedAt":"2026-07-07T01:50:29Z","sources":[{"site":"Research paper","title":"VLM-R1 technical report","url":"https://arxiv.org/abs/2504.07615","date":"2025-04-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Try the online demos linked at the top of the README to see what the models can do."],"officialDownload":null},{"slug":"top-deep-learning","name":"Top Deep Learning Projects","repo":"aymericdamien/TopDeepLearning","githubUrl":"https://github.com/aymericdamien/TopDeepLearning","homepage":null,"pageUrl":"/repo/top-deep-learning","category":"Learning resources","tagline":"A regularly updated ranking of popular open-source AI and deep learning projects on GitHub.","whatItDoes":["This is a list of popular GitHub projects related to deep learning and AI, ranked by how many people have starred them.","Each entry has the project name, a link and a short description. It covers well-known tools such as model libraries, chat interfaces, coding agents, image generators and automation platforms, making it a quick way to see what's widely used."],"whoFor":"Anyone who wants a quick overview of the most popular open-source AI projects.","useWithoutCoding":"Yes","keywords":["popular ai projects","deep learning","github","open source","list"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Aymeric Damien","githubUrl":"https://github.com/aymericdamien"},"license":"MIT","stars":6370,"contributors":8,"monthlyDownloads":null,"lastPushedAt":"2026-07-15T02:19:53Z","sources":[{"site":"Hacker News","title":"Top Deep Learning Projects","url":"https://news.ycombinator.com/item?id=12266623","date":"2016-08-11"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Scroll through the table and open any project that sounds useful."],"officialDownload":null},{"slug":"deeplearning-ai-summary","name":"DeepLearning.ai Courses Notes","repo":"mbadry1/DeepLearning.ai-Summary","githubUrl":"https://github.com/mbadry1/DeepLearning.ai-Summary","homepage":null,"pageUrl":"/repo/deeplearning-ai-summary","category":"Learning resources","tagline":"One learner's notes and summaries of the five-course Deep Learning Specialization from DeepLearning.AI.","whatItDoes":["This repository holds personal notes summarising the Deep Learning Specialization, a series of five online courses from DeepLearning.AI on Coursera.","The notes cover neural networks, tuning and improving models, organising machine learning projects, image recognition with convolutional networks, and sequence models used for text and speech. The README also links to reviews and other notes about the courses."],"whoFor":"Students taking or reviewing the Deep Learning Specialization, and anyone wanting a written summary of its topics.","useWithoutCoding":"Yes","keywords":["deep learning notes","andrew ng","coursera","neural networks","study notes"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Mahmoud Badry","githubUrl":"https://github.com/mbadry1"},"license":"MIT","stars":5351,"contributors":25,"monthlyDownloads":null,"lastPushedAt":"2026-06-27T21:09:36Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the project page and pick the course whose notes you want to read."],"officialDownload":null},{"slug":"scikit-opt","name":"scikit-opt","repo":"guofei9987/scikit-opt","githubUrl":"https://github.com/guofei9987/scikit-opt","homepage":"https://scikit-opt.github.io/scikit-opt/#/en/","pageUrl":"/repo/scikit-opt","category":"Developer building blocks","tagline":"A Python library of nature-inspired methods for finding the best answer to hard optimisation problems.","whatItDoes":["scikit-opt collects \"swarm intelligence\" and related methods: ways of searching for good solutions inspired by evolution, ant colonies, bird flocks, fish schools and the immune system, plus simulated annealing.","These are useful when there are too many options to check one by one, such as the classic travelling salesman problem of finding the shortest route through many cities.","Programmers can plug in their own custom steps."],"whoFor":"Programmers, students and researchers working on scheduling, routing or other optimisation problems.","useWithoutCoding":"Developers only","keywords":["genetic algorithm","optimization","travelling salesman","swarm intelligence"],"rating":1.5,"tags":["New this week"],"owner":{"name":"郭飞","githubUrl":"https://github.com/guofei9987"},"license":"MIT","stars":6721,"contributors":24,"monthlyDownloads":2751,"lastPushedAt":"2026-03-25T09:12:13Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"ai-shell","name":"AI Shell","repo":"BuilderIO/ai-shell","githubUrl":"https://github.com/BuilderIO/ai-shell","homepage":null,"pageUrl":"/repo/ai-shell","category":"Coding assistants","tagline":"Type what you want in plain English and get the matching terminal command, with an explanation.","whatItDoes":["AI Shell is a command-line tool that turns a plain-language request, like \"list all log files\", into the matching terminal command. It shows the command with an explanation and lets you run it, revise it or cancel.","It uses OpenAI's models, so you need your own OpenAI API key, which is billed by OpenAI."],"whoFor":"Developers and terminal users who don't want to remember every command.","useWithoutCoding":"Developers only","keywords":["terminal","command line","shell commands","natural language","openai"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Builder.io","githubUrl":"https://github.com/BuilderIO"},"license":"MIT","stars":5305,"contributors":33,"monthlyDownloads":268,"lastPushedAt":"2026-01-05T16:51:17Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":[],"officialDownload":null},{"slug":"deepo","name":"Deepo","repo":"ufoym/deepo","githubUrl":"https://github.com/ufoym/deepo","homepage":"http://ufoym.com/deepo","pageUrl":"/repo/deepo","category":"Training & fine-tuning","tagline":"Ready-made and custom Docker setups that get a deep-learning environment running quickly.","whatItDoes":["Setting up a computer for AI research means installing many tools whose versions must match. Deepo offers pre-built Docker images (packaged software environments) with popular deep-learning frameworks like PyTorch and TensorFlow already set up.","It can also generate a custom setup from building blocks you pick, working out compatible versions for you. Images work with or without a graphics card."],"whoFor":"Researchers and students who want a working deep-learning environment without hours of setup.","useWithoutCoding":"With some setup","keywords":["deep learning setup","docker","pytorch","tensorflow","environment"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Ming","githubUrl":"https://github.com/ufoym"},"license":"MIT","stars":6277,"contributors":10,"monthlyDownloads":null,"lastPushedAt":"2026-03-25T15:09:36Z","sources":[{"site":"Hacker News","title":"Deepo: a Docker image containing almost all popular deep learning frameworks","url":"https://news.ycombinator.com/item?id=15582509","date":"2017-10-30"}],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Windows","Mac"],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install Docker on your computer.","Download one of Deepo's ready-made images, with or without graphics-card support, and start it."],"officialDownload":null},{"slug":"bibigpt-v1","name":"BibiGPT v1","repo":"JimmyLv/BibiGPT-v1","githubUrl":"https://github.com/JimmyLv/BibiGPT-v1","homepage":"https://bibigpt.co/","pageUrl":"/repo/bibigpt-v1","category":"Everyday tools","tagline":"Summarises YouTube and Bilibili videos with AI so you can get the main points without watching.","whatItDoes":["BibiGPT takes a video from YouTube or Bilibili (a Chinese video site), reads its subtitles, and uses an AI model to write a short summary of what it covers.","This repository holds the first version of the project, which supports YouTube and Bilibili. The makers run a newer hosted service with more sources, such as podcasts and meetings, and a browser extension.","To run this version yourself you need an OpenAI key, and it can be set up locally or deployed online."],"whoFor":"Students and busy viewers who want quick summaries of long videos, and developers who want to run their own copy.","useWithoutCoding":"With some setup","keywords":["video summary","youtube summarizer","bilibili","study","notes"],"rating":1.5,"tags":["New this week"],"owner":{"name":"JimmyLv_吕立青","githubUrl":"https://github.com/JimmyLv"},"license":"GPL-3.0","stars":6244,"contributors":9,"monthlyDownloads":null,"lastPushedAt":"2026-05-04T12:07:02Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Server","Cloud"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Get an OpenAI key and add it to the project's settings file.","Start the app on your computer or with Docker, then open it in your browser and paste a video link."],"officialDownload":null},{"slug":"vibe-vibe","name":"Vibe Vibe","repo":"datawhalechina/vibe-vibe","githubUrl":"https://github.com/datawhalechina/vibe-vibe","homepage":"https://www.vibevibe.cn/","pageUrl":"/repo/vibe-vibe","category":"Learning resources","tagline":"A free Chinese-language course teaching complete beginners to build software by chatting with AI.","whatItDoes":["Vibe Vibe is a step-by-step tutorial on \"vibe coding\", building software by describing what you want to an AI in plain language instead of writing code yourself. It is aimed at people with no programming background.","It is split into four parts: basics and a first project, an advanced guide from idea to launch, hands-on practice projects, and a collection of recommended articles.","It is written in Chinese and can be read online, or set up on your own computer or network using Docker."],"whoFor":"Chinese-speaking beginners, students, founders and office workers who want to build their own apps with AI.","useWithoutCoding":"Yes","keywords":["vibe coding","learn to code","ai programming","beginner","chinese"],"rating":1.5,"tags":["New this week"],"owner":{"name":"Datawhale","githubUrl":"https://github.com/datawhalechina"},"license":null,"stars":6157,"contributors":14,"monthlyDownloads":null,"lastPushedAt":"2026-04-30T11:49:58Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":false,"firstSteps":["Open the Vibe Vibe tutorial website in your browser.","Pick a starting chapter based on your experience, as the guide suggests."],"officialDownload":null},{"slug":"godot-mcp","name":"Godot MCP","repo":"Coding-Solo/godot-mcp","githubUrl":"https://github.com/Coding-Solo/godot-mcp","homepage":null,"pageUrl":"/repo/godot-mcp","category":"Add-ons for AI coding tools","tagline":"Lets AI assistants open, run and inspect projects in the Godot game engine.","whatItDoes":["This connector uses MCP, a standard way for AI assistants to use tools. It lets an assistant launch the Godot editor, run game projects and read error messages.","It can also create scenes and add objects, helping the AI write and fix game code."],"whoFor":"Game developers using Godot with an AI assistant.","useWithoutCoding":"With some setup","keywords":["godot","game development","mcp","ai assistant"],"rating":1,"tags":["New this week"],"owner":{"name":"Solomon Elias","githubUrl":"https://github.com/Coding-Solo"},"license":"MIT","stars":6149,"contributors":8,"monthlyDownloads":null,"lastPushedAt":"2026-04-16T23:37:00Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install the Godot engine.","Add Godot MCP to your AI assistant, such as Claude Code, Cline or Cursor, as the README shows."],"officialDownload":null},{"slug":"learn-ai-engineering","name":"Learn AI Engineering","repo":"ashishps1/learn-ai-engineering","githubUrl":"https://github.com/ashishps1/learn-ai-engineering","homepage":null,"pageUrl":"/repo/learn-ai-engineering","category":"Learning resources","tagline":"A study path of free courses, videos and articles for learning AI, from the maths up to AI agents.","whatItDoes":["This is a collection of free learning material arranged roughly in the order you might study it. It starts with maths and Python, then moves through machine learning and deep learning.","Later sections cover generative AI, large language models, and newer topics such as AI agents, prompt writing and connecting AI to your own documents. Entries link to well-known courses, videos and guides."],"whoFor":"Beginners and career-changers who want a structured, free path into AI engineering.","useWithoutCoding":"Yes","keywords":["learn ai","free ai courses","machine learning","llm","roadmap"],"rating":1,"tags":["New this week"],"owner":{"name":"Ashish Pratap Singh","githubUrl":"https://github.com/ashishps1"},"license":"GPL-3.0","stars":6128,"contributors":5,"monthlyDownloads":null,"lastPushedAt":"2026-02-05T02:34:40Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the list and start with the maths and Python sections if you are new.","Work down through the sections in order, following the links to each course or video."],"officialDownload":null},{"slug":"enchanted","name":"Enchanted","repo":"gluonfield/enchanted","githubUrl":"https://github.com/gluonfield/enchanted","homepage":null,"pageUrl":"/repo/enchanted","category":"Chat assistants","tagline":"An iPhone, iPad, Mac and Vision Pro app for chatting with AI models you run yourself through Ollama.","whatItDoes":["Enchanted is a ChatGPT-style app for Apple devices that connects to your own private AI models through Ollama, a free tool for running models on your computer.","It supports voice prompts, reading answers aloud, image attachments, saved prompt templates and conversation history stored on your device. On a Mac it has a quick-access panel from anywhere.","You need to run your own Ollama server. To use it from a phone, the README explains how to make that server reachable over the internet. It also says a newer project, Jaz, is the next version of this app."],"whoFor":"Apple users who already run, or want to run, their own AI models and want a polished app to chat with them.","useWithoutCoding":"With some setup","keywords":["ollama app","iphone ai","private ai chat","mac","local llm"],"rating":1,"tags":["New this week"],"owner":{"name":"Augustinas Malinauskas","githubUrl":"https://github.com/gluonfield"},"license":"Apache-2.0","stars":6014,"contributors":9,"monthlyDownloads":null,"lastPushedAt":"2026-07-07T19:34:55Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Phone","Mac"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":["Install Ollama on a computer and download a model.","Get Enchanted from the App Store.","In the app's settings, enter the address of your Ollama server and start chatting."],"officialDownload":null},{"slug":"chatgpt-telegram-bot","name":"ChatGPT Telegram Bot","repo":"father-bot/chatgpt_telegram_bot","githubUrl":"https://github.com/father-bot/chatgpt_telegram_bot","homepage":"https://t.me/jadvebot","pageUrl":"/repo/chatgpt-telegram-bot","category":"Chat assistants","tagline":"Run your own Telegram bot that chats using ChatGPT or Claude with your own API keys.","whatItDoes":["This project puts AI chat models from OpenAI and Anthropic inside Telegram. You set up your own bot, and you and the people you allow can chat with it like any Telegram contact.","It streams answers as they are written, can read images you send, turn voice notes into text, and create images. It has many chat modes, such as assistant, English tutor or travel guide, and you can add your own.","You pay the AI provider directly for what you use, and the bot can show how much you've spent."],"whoFor":"Telegram users comfortable with a little setup who want a private AI chatbot.","useWithoutCoding":"With some setup","keywords":["telegram chatgpt","ai chatbot","claude","voice messages","telegram bot"],"rating":1,"tags":["New this week"],"owner":{"name":"Father Bot","githubUrl":"https://github.com/father-bot"},"license":"MIT","stars":5542,"contributors":21,"monthlyDownloads":null,"lastPushedAt":"2026-06-14T10:45:48Z","sources":[{"site":"Hacker News","title":"Telegram's t.me domain has been suspended","url":"https://news.ycombinator.com/item?id=48897878","date":"2026-07-13"},{"site":"Hacker News","title":"Transform your Android device into a Linux desktop","url":"https://news.ycombinator.com/item?id=36963200","date":"2023-08-01"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Server","Linux","Mac","Windows"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Get an OpenAI API key, and optionally an OpenRouter key for Claude.","Create a Telegram bot with Telegram's BotFather and copy its token.","Put your keys into the project's settings files and start it with Docker."],"officialDownload":null},{"slug":"nn-svg","name":"NN-SVG","repo":"alexlenail/NN-SVG","githubUrl":"https://github.com/alexlenail/NN-SVG","homepage":"http://alexlenail.me/NN-SVG/","pageUrl":"/repo/nn-svg","category":"Everyday tools","tagline":"A free web tool for drawing neat diagrams of neural networks for papers and web pages.","whatItDoes":["NN-SVG creates diagrams of neural network designs (the structures inside many AI models) by adjusting settings, rather than drawing them by hand.","It can make three common styles of figure and export them as SVG files, a picture format that stays sharp at any size and suits academic papers and websites.","Its author hopes it saves researchers time and can also help with teaching."],"whoFor":"Machine-learning researchers, students and teachers who need clear network diagrams.","useWithoutCoding":"Yes","keywords":["neural network diagram","draw ai model","svg","research figures"],"rating":1,"tags":["New this week"],"owner":{"name":"Alexander Lenail","githubUrl":"https://github.com/alexlenail"},"license":"MIT","stars":5690,"contributors":12,"monthlyDownloads":null,"lastPushedAt":"2026-06-02T12:07:58Z","sources":[{"site":"Hacker News","title":"NN-SVG","url":"https://news.ycombinator.com/item?id=38516038","date":"2023-12-04"},{"site":"Hacker News","title":"NN-SVG: Generate publication-ready NN-architecture schematics","url":"https://news.ycombinator.com/item?id=25272360","date":"2020-12-02"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the NN-SVG website in your browser.","Choose a diagram style and adjust the layers and sizes.","Export the finished drawing as an SVG file."],"officialDownload":null},{"slug":"podcastfy","name":"Podcastfy","repo":"souzatharsis/podcastfy","githubUrl":"https://github.com/souzatharsis/podcastfy","homepage":"https://www.podcastfy.ai/","pageUrl":"/repo/podcastfy","category":"Speech & audio","tagline":"Turns websites, PDFs, videos and images into podcast-style audio conversations, in many languages.","whatItDoes":["Podcastfy takes content such as web pages, PDFs, images, YouTube videos or a topic you give it, and turns it into a spoken conversation between AI hosts, like a short podcast episode.","Its makers describe it as an open-source alternative to the podcast feature in Google's NotebookLM, aimed at people who want to customise and automate the result. It supports many languages and longer episodes.","It uses AI services to write the script and voice it, which need API keys. The README says you can use local AI models for the script for more privacy."],"whoFor":"Developers, educators and content creators who want to turn reading material into audio.","useWithoutCoding":"With some setup","keywords":["podcast generator","notebooklm alternative","text to audio","audio summary"],"rating":1,"tags":["New this week"],"owner":{"name":"Tharsis Souza","githubUrl":"https://github.com/souzatharsis"},"license":"Apache-2.0","stars":6681,"contributors":18,"monthlyDownloads":2287,"lastPushedAt":"2026-05-04T14:49:10Z","sources":[{"site":"Hacker News","title":"Show HN: Podcastfy AI – Open-source tool to generate AI audio conversations","url":"https://news.ycombinator.com/item?id=41852401","date":"2024-10-15"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Install Python and the audio tool ffmpeg, then install Podcastfy with Python's package installer.","Set up your AI service API keys as described in the project's configuration guide.","Give it one or more web links and it creates an audio conversation file."],"officialDownload":null},{"slug":"redink","name":"RedInk","repo":"HisMax/RedInk","githubUrl":"https://github.com/HisMax/RedInk","homepage":"https://redink.top/","pageUrl":"/repo/redink","category":"Images & video","tagline":"Type one sentence and get a full set of picture-and-text posts for the Chinese social app Xiaohongshu.","whatItDoes":["RedInk creates multi-page image posts in the style used on Xiaohongshu (also called RedNote). You describe the post in one sentence and it writes an outline, then makes a cover and the content pages.","You can edit the text of each page, add a description for each image, and regenerate any page you don't like. It uses Google's Gemini to write the text and Nano Banana Pro to make the images, so you need API keys for those services.","It runs as a web app on your own computer."],"whoFor":"Social media creators and marketers who make image posts for Xiaohongshu.","useWithoutCoding":"With some setup","keywords":["xiaohongshu","rednote","social media posts","image generator","content creation"],"rating":1,"tags":["New this week"],"owner":{"name":"Histone","githubUrl":"https://github.com/HisMax"},"license":"NOASSERTION","stars":5638,"contributors":1,"monthlyDownloads":null,"lastPushedAt":"2026-06-30T14:28:30Z","sources":[],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux"],"hardware":"An ordinary computer is fine","privacy":"Sends what you give it to an online service","needsApiKey":true,"firstSteps":["Run RedInk with Docker, or download the project and double-click the start script for Mac or Windows.","Open it in your web browser and enter your AI API key on the Settings page.","Type one sentence describing your post, review the outline, then generate the pages."],"officialDownload":null},{"slug":"machine-learning-book","name":"Machine Learning with PyTorch and Scikit-Learn (code)","repo":"rasbt/machine-learning-book","githubUrl":"https://github.com/rasbt/machine-learning-book","homepage":"https://sebastianraschka.com/books/#machine-learning-with-pytorch-and-scikit-learn","pageUrl":"/repo/machine-learning-book","category":"Learning resources","tagline":"Code examples for a machine-learning textbook, chapter by chapter.","whatItDoes":["This holds the code notebooks for the book Machine Learning with PyTorch and Scikit-Learn, covering topics from basic classifiers to transformers and reinforcement learning.","The README notes the notebooks may not be useful without the book's text."],"whoFor":"Readers of the book and learners studying machine learning.","useWithoutCoding":"Developers only","keywords":["machine learning book","pytorch","scikit-learn","learn ai"],"rating":1,"tags":["New this week"],"owner":{"name":"Sebastian Raschka","githubUrl":"https://github.com/rasbt"},"license":"MIT","stars":5438,"contributors":21,"monthlyDownloads":null,"lastPushedAt":"2026-06-15T14:33:04Z","sources":[{"site":"Hacker News","title":"Building LLMs from the Ground Up: A 3-Hour Coding Workshop","url":"https://news.ycombinator.com/item?id=41412256","date":"2024-08-31"},{"site":"Hacker News","title":"LLM Architecture Gallery","url":"https://news.ycombinator.com/item?id=47388676","date":"2026-03-15"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"autohedge","name":"AutoHedge","repo":"The-Swarm-Corporation/AutoHedge","githubUrl":"https://github.com/The-Swarm-Corporation/AutoHedge","homepage":"https://swarms.xyz/","pageUrl":"/repo/autohedge","category":"Finance & trading","tagline":"A team of AI agents that analyses markets and places trades automatically.","whatItDoes":["AutoHedge uses several AI agents, each with one job, to run a trading process. A director agent comes up with ideas, a quant agent studies the numbers, a risk agent decides position sizes, and an execution agent places orders.","Its makers describe it as an autonomous agent hedge fund that trades on your behalf. 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It is written for people with little or no background in programming or maths.","There is no fixed order, but it suggests working from top to bottom. It also covers building language-model apps, finding a job and AI ethics.","The author says most resources are free. Some paid courses are included, and those links are affiliate links."],"whoFor":"Beginners who want a guided path into AI and machine learning.","useWithoutCoding":"Yes","keywords":["learn ai","beginner","machine learning course","free resources"],"rating":1,"tags":["New this week"],"owner":{"name":"Louis-François Bouchard","githubUrl":"https://github.com/louisfb01"},"license":"MIT","stars":5304,"contributors":3,"monthlyDownloads":null,"lastPushedAt":"2026-01-23T19:51:33Z","sources":[{"site":"Hacker News","title":"Nvidia EditGAN: Image Editing with Full Control from Sketches","url":"https://news.ycombinator.com/item?id=29451405","date":"2021-12-05"},{"site":"Hacker News","title":"High-Resolution Photorealistic Image Translation in Real-Time","url":"https://news.ycombinator.com/item?id=27343670","date":"2021-05-31"}],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the guide and start with the short introduction videos.","Move on to the free courses and practice sections at your own pace."],"officialDownload":null},{"slug":"chinese-clip","name":"Chinese-CLIP","repo":"OFA-Sys/Chinese-CLIP","githubUrl":"https://github.com/OFA-Sys/Chinese-CLIP","homepage":null,"pageUrl":"/repo/chinese-clip","category":"AI models & research","tagline":"A Chinese-language version of the CLIP model, which matches pictures with text descriptions.","whatItDoes":["Chinese-CLIP is a version of CLIP, an AI model that learns how pictures and words relate. It was trained on about 200 million Chinese image and text pairs.","It can find pictures that match a Chinese text search, or the other way round, and sort images into categories it was never trained on directly.","The project shares models in several sizes, plus code for using, training and testing them."],"whoFor":"Developers and researchers building Chinese image search or image-understanding features.","useWithoutCoding":"Developers only","keywords":["image search","chinese","clip","pictures and text"],"rating":1,"tags":["Research-backed","New this week"],"owner":{"name":"OFA-Sys","githubUrl":"https://github.com/OFA-Sys"},"license":"MIT","stars":6016,"contributors":11,"monthlyDownloads":1335,"lastPushedAt":"2026-03-31T13:27:44Z","sources":[{"site":"Research paper","title":"Chinese-CLIP technical report","url":"https://arxiv.org/abs/2211.01335","date":"2022-11-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"codegen","name":"CodeGen","repo":"salesforce/CodeGen","githubUrl":"https://github.com/salesforce/CodeGen","homepage":null,"pageUrl":"/repo/codegen","category":"AI models & research","tagline":"A family of open AI models from Salesforce research that write computer code from descriptions.","whatItDoes":["CodeGen is a set of AI models from Salesforce AI Research that generate computer code, a task called program synthesis. There are several generations and sizes, and later versions can fill in missing code in the middle of a file.","The models are available on Hugging Face for programmers to download. Salesforce says the release is for research only and asks users to check accuracy, safety and fairness before using it in real products."],"whoFor":"Researchers and developers studying or experimenting with code-writing AI models.","useWithoutCoding":"Developers only","keywords":["code generation","ai coding model","program synthesis","open model"],"rating":1,"tags":["Research-backed","New this week"],"owner":{"name":"Salesforce","githubUrl":"https://github.com/salesforce"},"license":"Apache-2.0","stars":5182,"contributors":11,"monthlyDownloads":null,"lastPushedAt":"2026-06-02T18:14:11Z","sources":[{"site":"Research paper","title":"CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis","url":"https://arxiv.org/abs/2203.13474","date":"2022-03-01"},{"site":"Research paper","title":"CodeGen2: Lessons for Training LLMs on Programming and Natural Languages","url":"https://arxiv.org/abs/2305.02309","date":"2023-05-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"data-scientist-roadmap","name":"Data Scientist Roadmap","repo":"sreeharierk/datascience","githubUrl":"https://github.com/sreeharierk/datascience","homepage":"https://twitter.com/sreeharierk","pageUrl":"/repo/data-scientist-roadmap","category":"Learning resources","tagline":"A free reading roadmap covering the maths, data and machine learning basics a data scientist needs.","whatItDoes":["This repository is a study guide for becoming a data scientist. It walks through topics in order, starting with fundamentals such as matrices, hash functions, databases and joins.","Each topic has a short plain explanation and links to further reading. Its description says it is a compilation of free learning resources; the roadmap is labelled 2021."],"whoFor":"Beginners and students who want a structured path into data science and machine learning.","useWithoutCoding":"Yes","keywords":["learn data science","machine learning basics","study roadmap","free course"],"rating":1,"tags":["New this week"],"owner":{"name":"Sreehari S","githubUrl":"https://github.com/sreeharierk"},"license":"GPL-3.0","stars":5149,"contributors":4,"monthlyDownloads":null,"lastPushedAt":"2026-02-01T18:20:19Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Web browser"],"hardware":"An ordinary computer is fine","privacy":null,"needsApiKey":false,"firstSteps":["Open the project page and read the roadmap, starting with the fundamentals section."],"officialDownload":null},{"slug":"tiny-universe","name":"Tiny-Universe","repo":"datawhalechina/tiny-universe","githubUrl":"https://github.com/datawhalechina/tiny-universe","homepage":null,"pageUrl":"/repo/tiny-universe","category":"Learning resources","tagline":"A Chinese-language course for building a small AI language model, RAG and agent system from scratch.","whatItDoes":["Tiny-Universe is a hands-on guide, written in Chinese, that walks through building the main parts of a large language model system by hand, rather than using ready-made toolkits.","Lessons cover a tiny image generator, how the Qwen model works, pre-training a small Llama-style model, evaluation, RAG, a minimal agent, the Transformer and GraphRAG.","It is aimed at learners who already know some deep learning and want to understand what happens inside."],"whoFor":"Chinese-speaking students and developers with some deep learning background.","useWithoutCoding":"Developers only","keywords":["learn llm","build ai from scratch","rag tutorial","chinese course","transformer"],"rating":1,"tags":["New this week"],"owner":{"name":"Datawhale","githubUrl":"https://github.com/datawhalechina"},"license":null,"stars":5115,"contributors":14,"monthlyDownloads":null,"lastPushedAt":"2026-02-12T02:00:08Z","sources":[],"checkedByPerson":false,"cost":"Free","runsOn":["Linux","Mac","Windows"],"hardware":null,"privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"pyspur","name":"PySpur","repo":"PySpur-Dev/pyspur","githubUrl":"https://github.com/PySpur-Dev/pyspur","homepage":"https://pyspur.dev/","pageUrl":"/repo/pyspur","category":"App builders & workflows","tagline":"A visual playground for building, testing and improving AI agent workflows.","whatItDoes":["PySpur lets you build AI agents and workflows by connecting steps on screen, or in Python code. You can define test cases, run them and see what happened at each step.","It supports pauses that wait for a person to approve, loops, file uploads, structured outputs, document search (RAG) and tools like Slack and Google Sheets. It records traces of how deployed agents ran.","Its makers say it works with over a hundred AI providers, and a finished workflow can be published as an API, a doorway other programs can call."],"whoFor":"AI engineers and developers who build and debug agent workflows.","useWithoutCoding":"With some setup","keywords":["ai workflow builder","visual editor","ai agents","no-code agents","testing"],"rating":1,"tags":["New this week"],"owner":{"name":"PySpur","githubUrl":"https://github.com/PySpur-Dev"},"license":"Apache-2.0","stars":5791,"contributors":16,"monthlyDownloads":113,"lastPushedAt":"2026-06-29T17:53:12Z","sources":[{"site":"Hacker News","title":"Introduction to CUDA programming for Python developers","url":"https://news.ycombinator.com/item?id=43121059","date":"2025-02-20"},{"site":"Hacker News","title":"DeepSeek's multi-head latent attention and other KV cache tricks","url":"https://news.ycombinator.com/item?id=42858741","date":"2025-01-28"}],"checkedByPerson":false,"cost":"Free, but needs an AI account","runsOn":["Mac","Windows","Linux","Web browser"],"hardware":"An ordinary computer is fine","privacy":"Your choice: run it on your device or use an online service","needsApiKey":true,"firstSteps":["Install PySpur with Python's package installer (Python 3.11 or newer).","Create a new project and start the PySpur server.","Open the local web page and add your AI provider keys in the API Keys tab."],"officialDownload":null},{"slug":"ace-step-ui","name":"ACE-Step UI","repo":"fspecii/ace-step-ui","githubUrl":"https://github.com/fspecii/ace-step-ui","homepage":"https://webdesignstudio.london/","pageUrl":"/repo/ace-step-ui","category":"Speech & audio","tagline":"A music-player-style app for making AI songs on your own computer with the ACE-Step model.","whatItDoes":["ACE-Step UI is an interface for ACE-Step, an open-source AI model that generates music. 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Its makers say this improves the models' medical answers.","It shares the extra model files and scripts for testing them. It is a research project, and like any AI, its answers about health can be wrong."],"whoFor":"Researchers and developers working on medical AI for Chinese.","useWithoutCoding":"Developers only","keywords":["medical ai","chinese","health questions","language model","research"],"rating":1,"tags":["Research-backed","New this week"],"owner":{"name":"Health Intelligence Group of HIT-SCIR","githubUrl":"https://github.com/SCIR-HI"},"license":"Apache-2.0","stars":5001,"contributors":8,"monthlyDownloads":null,"lastPushedAt":"2026-07-04T05:56:23Z","sources":[{"site":"Research paper","title":"HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge","url":"https://arxiv.org/abs/2304.06975","date":"2023-04-01"},{"site":"Research paper","title":"Knowledge-tuning for reliable Chinese medical answers (paper linked in the README)","url":"https://arxiv.org/abs/2309.04175","date":"2023-09-01"},{"site":"Research paper","title":"Gathering interactive knowledge from medical papers with large models (paper linked in the README)","url":"https://arxiv.org/abs/2309.04198","date":"2023-09-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"Works best on a powerful computer or one with a graphics card (GPU)","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"ltp","name":"LTP","repo":"HIT-SCIR/ltp","githubUrl":"https://github.com/HIT-SCIR/ltp","homepage":"http://ltp.ai/","pageUrl":"/repo/ltp","category":"Developer building blocks","tagline":"A toolkit for analysing Chinese text, such as splitting words and finding names and sentence structure.","whatItDoes":["LTP (Language Technology Platform) is a set of tools for processing Chinese text. 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It offers fast, lighter models written in Rust and fuller deep learning models, which download automatically from Hugging Face."],"whoFor":"Developers and researchers working with Chinese-language text.","useWithoutCoding":"Developers only","keywords":["chinese nlp","word segmentation","text analysis","named entities","python"],"rating":1,"tags":["Research-backed","New this week"],"owner":{"name":"哈工大社会计算与信息检索研究中心","githubUrl":"https://github.com/HIT-SCIR"},"license":null,"stars":5264,"contributors":6,"monthlyDownloads":2040,"lastPushedAt":"2026-03-11T11:57:37Z","sources":[{"site":"Research paper","title":"N-LTP: An Open-source Neural Language Technology Platform for Chinese","url":"https://aclanthology.org/2021.emnlp-demo.6","date":"2021-11-01"}],"checkedByPerson":false,"cost":"Free","runsOn":[],"hardware":"An ordinary computer is fine","privacy":"Runs on your own device: your data stays with you","needsApiKey":false,"firstSteps":[],"officialDownload":null},{"slug":"synonyms","name":"Synonyms","repo":"chatopera/Synonyms","githubUrl":"https://github.com/chatopera/Synonyms","homepage":"https://bot.chatopera.com/","pageUrl":"/repo/synonyms","category":"Developer building blocks","tagline":"A code library that finds Chinese words with similar meanings, for chatbots, search and question answering.","whatItDoes":["Synonyms is a Python library for Chinese natural language processing. 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