# Plain-AyI > A plain-language guide to open-source AI projects, for technical and non-technical readers. Each project has a short summary of what it does, who it's for, and whether you can use it without writing code. Numbers come from GitHub, PyPI and Hacker News and were last updated on 2026-10-19. Summaries are drafted with AI from each project's own documentation; each project page says whether a person has checked it. A rating describes public activity around a project, not its quality or safety. ## Data for AI tools - [All projects as JSON](https://plain-ayi.com/api/projects.json): every published project with its summary, category, rating and source links. - [MCP server](https://plain-ayi.com/mcp): read-only tools to search projects, get one project, and list categories. - [How we pick and rate projects](https://plain-ayi.com/about) ## Run AI on your computer Run AI models privately on your own laptop or desktop, often without an internet connection. - [llama.cpp](https://plain-ayi.com/repo/llama-cpp): The fast engine that makes it possible to run AI models on ordinary computers and phones. - [Ollama](https://plain-ayi.com/repo/ollama): Download and run AI chat models on your own computer, without sending your data to the cloud. - [LocalAI](https://plain-ayi.com/repo/localai): Runs many kinds of AI models on your own hardware, for text, images, voice and video, with no graphics card required. - [Jan](https://plain-ayi.com/repo/jan): A desktop app for chatting with AI models that run privately on your own computer. - [llmfit](https://plain-ayi.com/repo/llmfit): Checks your computer and tells you which AI models it can run well. - [oMLX](https://plain-ayi.com/repo/omlx): Runs AI chat models on Apple Silicon Macs, managed from a menu bar app. - [MLC LLM](https://plain-ayi.com/repo/mlc-llm): Prepares AI chat models to run directly on phones, laptops and in web browsers. - [MNN](https://plain-ayi.com/repo/mnn): A lightweight engine from Alibaba for running AI models, including chat models, directly on phones and other devices. - [WebLLM](https://plain-ayi.com/repo/webllm): Runs AI chat models directly inside your web browser, with no server needed. - [mistral.rs](https://plain-ayi.com/repo/mistral-rs): A fast engine for running open AI models on your own machine, with a chat page and built-in tools. - [Lemonade](https://plain-ayi.com/repo/lemonade): Runs AI models for chat, coding, speech and images on your own PC's graphics chip, for free and privately. - [ODS (Osmantic Deployment System)](https://plain-ayi.com/repo/ods): Sets up a full private AI system on your own computer, with chat, voice, workflows and image tools. - [PowerInfer](https://plain-ayi.com/repo/powerinfer): Runs large AI language models faster on a home computer with a single ordinary graphics card. - [llama-swap](https://plain-ayi.com/repo/llama-swap): Switches between several local AI models automatically, loading whichever one an app asks for. - [MLX-VLM](https://plain-ayi.com/repo/mlx-vlm): Run and fine-tune AI models that understand images, audio and video on your Mac. - [Cactus](https://plain-ayi.com/repo/cactus): An engine for running AI models directly on phones, wearables and other small devices. - [kimi-k3-in-c](https://plain-ayi.com/repo/kimi-k3-in-c): Runs the giant Kimi K3 AI model on one ordinary computer, slowly, using about 8 GB of memory. - [AirLLM](https://plain-ayi.com/repo/airllm): Lets very large AI language models run on a computer with a modest graphics card. - [Olares](https://plain-ayi.com/repo/olares): Turns a computer you own into a personal cloud for running AI assistants, models and apps privately. - [TurboFieldfare](https://plain-ayi.com/repo/turbofieldfare): Runs Google's large Gemma 4 AI model on Apple Silicon Macs using only about 2 GB of memory. - [apfel](https://plain-ayi.com/repo/apfel): Lets you use the AI model built into newer Macs from the command line or other apps, fully offline. - [Shimmy](https://plain-ayi.com/repo/shimmy): A tiny single-file program that runs AI chat models on your computer and works with existing AI apps. - [lms (LM Studio CLI)](https://plain-ayi.com/repo/lms): A command-line tool for LM Studio that loads local AI models and starts its local server. - [GenieX](https://plain-ayi.com/repo/geniex): Runs AI chat and vision models directly on devices with Qualcomm Snapdragon chips. - [RWKV Runner](https://plain-ayi.com/repo/rwkv-runner): A small desktop app that downloads and runs RWKV AI models on your own computer with one click. ## Chat assistants ChatGPT-style apps and chat interfaces you can host yourself or connect to different AI models. - [Open WebUI](https://plain-ayi.com/repo/open-webui): A ChatGPT-style chat window for AI models you run yourself or connect to. - [NextChat](https://plain-ayi.com/repo/nextchat): A light, fast chat app for talking to many AI models, including GPT, Claude, Gemini and DeepSeek. - [Cherry Studio](https://plain-ayi.com/repo/cherry-studio): A desktop app for chatting with many different AI models in one place, with hundreds of ready-made assistants. - [LibreChat](https://plain-ayi.com/repo/librechat): A ChatGPT-style chat app you can host yourself and connect to many different AI models. - [AstrBot](https://plain-ayi.com/repo/astrbot): Puts an AI chatbot into messaging apps like Telegram, Discord, Slack, QQ and WeChat Work. - [SillyTavern](https://plain-ayi.com/repo/sillytavern): A highly customisable chat app for talking with AI characters, connected to many different AI services. - [Hermes Web UI](https://plain-ayi.com/repo/hermes-webui): A web interface for using the Hermes Agent AI assistant from a browser or phone. - [Chatbox](https://plain-ayi.com/repo/chatbox): A desktop and phone app for chatting with ChatGPT, Claude, Gemini and other AI models in one place. - [Chat UI](https://plain-ayi.com/repo/huggingface-chat-ui): The open chat app behind HuggingChat, which you can run yourself and connect to AI models. - [Vane](https://plain-ayi.com/repo/vane): A private, self-hosted AI search engine that answers questions with cited sources from the web. - [ChatALL](https://plain-ayi.com/repo/chatall): Ask many AI chatbots the same question at once and compare their answers side by side. - [MaiBot (MaiSaka)](https://plain-ayi.com/repo/maibot): An AI chat companion for group chats that aims to talk like a real person rather than an assistant. - [DeepChat](https://plain-ayi.com/repo/deepchat): A desktop app for chatting with many AI models and running AI agents in one place. - [ChatGPTBox](https://plain-ayi.com/repo/chatgptbox): A browser extension that brings ChatGPT and other AI models onto any web page you visit. - [RikkaHub](https://plain-ayi.com/repo/rikkahub): An Android chat app that lets you talk to many different AI models from one place. - [Big-AGI](https://plain-ayi.com/repo/big-agi): A web-based AI chat workspace that lets you use and compare many AI models side by side. - [Morphic](https://plain-ayi.com/repo/morphic): An AI search engine you can host yourself, giving cited answers with images and rich layouts. - [Page Assist](https://plain-ayi.com/repo/page-assist): A browser add-on that lets you chat with AI running on your own computer, including about the page you're reading. - [Chuanhu Chat](https://plain-ayi.com/repo/chuanhuchatgpt): A clean, self-hosted chat app for ChatGPT and many other AI models, with file Q&A and web search. - [WeChat Bot](https://plain-ayi.com/repo/wechat-bot): Lets an AI model reply to messages for you in WeChat, Telegram, WhatsApp or Lark. - [Noi](https://plain-ayi.com/repo/noi): A desktop app for organising your AI chats, with separate workspaces and saved prompts. - [Open-LLM-VTuber](https://plain-ayi.com/repo/open-llm-vtuber): Talk out loud with an AI companion that has an animated character, running on your own computer. - [5ire](https://plain-ayi.com/repo/5ire): A desktop AI assistant that works with many AI providers, your own documents and add-on tools. - [AIChat](https://plain-ayi.com/repo/aichat): Chat with many AI models from your computer's command line, and turn plain requests into terminal commands. - [CoAI.Dev](https://plain-ayi.com/repo/coai): Software for running your own AI chat website with many AI providers, accounts and billing. - [AIdea](https://plain-ayi.com/repo/aidea): An app that brings popular AI chat and image-generation models together in one place. - [Enchanted](https://plain-ayi.com/repo/enchanted): An iPhone, iPad, Mac and Vision Pro app for chatting with AI models you run yourself through Ollama. - [ChatGPT Telegram Bot](https://plain-ayi.com/repo/chatgpt-telegram-bot): Run your own Telegram bot that chats using ChatGPT or Claude with your own API keys. ## AI agents AI that takes actions, not just answers: browsing websites, using software and completing multi-step tasks. - [Hermes Agent](https://plain-ayi.com/repo/hermes-agent): A personal AI assistant that remembers you, learns new skills over time and chats with you on your favourite apps. - [OpenClaw](https://plain-ayi.com/repo/openclaw): A personal AI assistant that runs on your own computer and talks to you in WhatsApp, Telegram, Slack and more. - [AutoGPT](https://plain-ayi.com/repo/autogpt): Build AI helpers that carry out whole tasks for you, on demand, on a schedule or when something happens. - [DeerFlow](https://plain-ayi.com/repo/deerflow): An AI agent system that researches, writes code and creates content on tasks that can take minutes to hours. - [career-ops](https://plain-ayi.com/repo/career-ops): An AI job-search helper that scores job ads against your CV and drafts tailored applications for you to review. - [Browser Use](https://plain-ayi.com/repo/browser-use): Lets an AI control a web browser to complete tasks for you, like clicking, typing and filling forms. - [goose](https://plain-ayi.com/repo/goose): A general-purpose AI agent that runs on your computer and carries out tasks, from coding to research. - [LobeHub](https://plain-ayi.com/repo/lobehub): Build and manage a team of AI agents that work on schedules, remember you and reach you in chat apps. - [MindsHub](https://plain-ayi.com/repo/mindshub): A workspace where AI agents do research, reports and other knowledge work, using the model you choose. - [Paperclip](https://plain-ayi.com/repo/paperclip): A dashboard for running a team of AI agents like a company, with goals, roles, budgets and approvals. - [Agno](https://plain-ayi.com/repo/agno): Helps developers build AI agents, run them as a service and manage them from a web dashboard. - [CrewAI](https://plain-ayi.com/repo/crewai): Lets developers set up teams of AI agents, each with a role, that work together on tasks. - [ZeroClaw](https://plain-ayi.com/repo/zeroclaw): A small, self-hosted AI assistant that answers you across chat apps and runs tasks with safety checks. - [CowAgent](https://plain-ayi.com/repo/cowagent): A personal AI assistant that plans tasks, uses tools and remembers things, reachable from the web and chat apps. - [OpenHuman](https://plain-ayi.com/repo/openhuman): A lightweight AI agent app with built-in memory that can use a web browser and desktop apps for you. - [Strix](https://plain-ayi.com/repo/strix): AI agents that test your own app for security weaknesses and suggest fixes. - [NanoClaw](https://plain-ayi.com/repo/nanoclaw): A small, personal AI assistant you message on WhatsApp, Telegram or Slack, with each agent kept in its own sealed box. - [DeepSeek Harness](https://plain-ayi.com/repo/deepseek-harness): A framework from DeepSeek for running AI agents, where every feature is a swappable plug-in. - [Cua](https://plain-ayi.com/repo/cua): Gives AI agents their own computer desktops to work in, plus tools for controlling apps on your machine. - [AionUi](https://plain-ayi.com/repo/aionui): A free desktop app where AI agents work alongside you on your computer: reading files, writing documents and automating tasks. - [NVIDIA NemoClaw](https://plain-ayi.com/repo/nemoclaw): Runs AI agents such as OpenClaw and Hermes inside a protected sandbox, with network rules and managed AI models. - [elizaOS](https://plain-ayi.com/repo/eliza): An open toolkit and app for building and running AI agents that chat, remember and act for you. - [nanobot](https://plain-ayi.com/repo/nanobot): A small, self-hosted personal AI agent you can use in a browser, terminal or chat apps like Telegram. - [DSH Desktop](https://plain-ayi.com/repo/dsh-desktop-anywhere-labs): A Windows and Mac app for using the DeepSeek Harness AI agent without the command line. - [Kortix](https://plain-ayi.com/repo/kortix): An open-source system for running a team of AI agents that do work and wait for human approval. - [QwenPaw](https://plain-ayi.com/repo/qwenpaw): A personal AI assistant you run yourself that remembers you, runs scheduled tasks and works in your chat apps. - [AgenticSeek](https://plain-ayi.com/repo/agenticseek): A private AI assistant that browses the web, writes code and plans tasks, running on your own computer. - [GPT Researcher](https://plain-ayi.com/repo/gpt-researcher): An AI agent that researches a topic on the web or in your files and writes a detailed report with sources. - [OpenCLI](https://plain-ayi.com/repo/opencli): Lets AI agents use websites through your own logged-in Chrome browser, and turns sites into simple commands. - [Agent Zero](https://plain-ayi.com/repo/agent-zero): An AI agent that gets its own Linux computer, with a desktop, browser and files, to carry out tasks for you. - [Hermes One](https://plain-ayi.com/repo/hermes-one): A desktop app for installing, setting up and chatting with the Hermes AI agent without using the command line. - [ADK Recipes](https://plain-ayi.com/repo/adk-recipes): Small, working example agents built with Google's Agent Development Kit, ready to copy and adapt. - [Stagehand](https://plain-ayi.com/repo/stagehand): A toolkit for programs that use websites like a person does: clicking, filling forms and pulling out data. - [GenericAgent](https://plain-ayi.com/repo/genericagent): A small AI agent that controls your computer and saves each solved task as a reusable skill. - [OWL](https://plain-ayi.com/repo/owl): A framework where several AI agents work together to complete real-world tasks like browsing and research. - [Browser Use Web UI](https://plain-ayi.com/repo/browser-use-web-ui): A simple web page for telling an AI agent what to do in a web browser and watching it work. - [Ekko Studio](https://plain-ayi.com/repo/ekko-studio): One workspace app for chatting with, running and connecting many AI agents, including coding agents. - [CAMEL](https://plain-ayi.com/repo/camel): A framework for building and studying groups of AI agents that work together, including at very large scale. - [NullClaw](https://plain-ayi.com/repo/nullclaw): A tiny, self-contained AI assistant program designed to run even on very cheap, low-power hardware. - [VoltAgent](https://plain-ayi.com/repo/voltagent): A TypeScript toolkit and console for building, running and monitoring AI agents. - [Apache Maka](https://plain-ayi.com/repo/apache-maka): An AI agent workspace that keeps a complete, replayable record of everything the agent did. - [UI-TARS Desktop and Agent TARS](https://plain-ayi.com/repo/ui-tars-desktop): AI that can see your screen and use your computer or web browser to finish tasks for you. - [Octop](https://plain-ayi.com/repo/octop): A self-hosted AI assistant for households and small teams, with a team of specialist AI helpers. - [Omnigent](https://plain-ayi.com/repo/omnigent): One control centre for running and supervising several AI coding agents from your computer, browser or phone. - [PI-Desktop](https://plain-ayi.com/repo/pi-desktop): A desktop workspace that gives AI agents their own place to work. - [Skyvern](https://plain-ayi.com/repo/skyvern): Uses AI that can 'see' web pages to fill in forms and complete tasks on websites for you. - [Apify MCP Server](https://plain-ayi.com/repo/apify-mcp-server): Lets AI assistants collect data from websites, maps, shops and social media using ready-made Apify tools. - [AG2](https://plain-ayi.com/repo/ag2): An open-source framework for building AI agents that work together to complete tasks (formerly AutoGen). - [Hive](https://plain-ayi.com/repo/hive): Hand a big job to a lead AI agent that splits it among many worker agents and tracks the results. - [Leon](https://plain-ayi.com/repo/leon): An open-source personal assistant that uses tools and memory to carry out tasks, locally if you prefer. - [OpenMausBot](https://plain-ayi.com/repo/openmausbot): A chat app where each contact is an AI agent with its own model, computer and connected apps. - [Rowboat](https://plain-ayi.com/repo/rowboat): A desktop AI coworker that learns from your email, meetings and notes, then helps get work done. - [Munder Difflin](https://plain-ayi.com/repo/munder-difflin): A desktop app that runs a team of AI coding agents as characters in a playful virtual office. - [OpenRig](https://plain-ayi.com/repo/openrig): Organises Claude Code and Codex coding agents into a lasting team with roles and shared context. - [DSH Desktop](https://plain-ayi.com/repo/dsh-desktop): A desktop app for running DeepSeek Harness AI agents, with built-in tools for making editable slide decks. - [QM](https://plain-ayi.com/repo/qm): A shared AI agent for a whole company, working in Slack and on the web with personal and team spaces. - [Nanobrowser](https://plain-ayi.com/repo/nanobrowser): A browser add-on that lets an AI assistant click, type and move between tabs to finish tasks for you. - [Edict (Three Departments and Six Ministries)](https://plain-ayi.com/repo/edict): Organises a team of AI agents like an ancient Chinese government, with planning, review and execution roles. - [OpenSquilla](https://plain-ayi.com/repo/opensquilla): An AI agent that saves money by sending each request to the cheapest model able to handle it. - [Page Agent](https://plain-ayi.com/repo/page-agent): Adds an AI helper to a website that clicks, fills in forms and navigates when asked in plain words. - [BrowserOS](https://plain-ayi.com/repo/browseros): A second web browser that your AI assistant can drive to do online tasks for you. - [Operit AI](https://plain-ayi.com/repo/operit): An Android app with an AI assistant that can use your phone's apps, files, browser and terminal to do tasks. - [LobsterAI](https://plain-ayi.com/repo/lobsterai): A desktop AI assistant from NetEase Youdao that works with your files, documents and browser to finish office tasks. - [Osaurus](https://plain-ayi.com/repo/osaurus): A Mac app for running AI agents with memory and tools, using local models or cloud ones when you choose. - [Fay](https://plain-ayi.com/repo/fay): A framework for building talking digital characters and voice assistants that connect to AI models and business systems. - [OpenAgent](https://plain-ayi.com/repo/openagent): A self-hosted personal AI assistant that chats, searches your documents, browses the web and runs tasks. - [UFO](https://plain-ayi.com/repo/ufo): Microsoft research agents that operate Windows apps, and coordinate tasks across several devices, from plain requests. - [Mission Control](https://plain-ayi.com/repo/mission-control): A self-hosted dashboard for assigning tasks to AI agents, reviewing their work and tracking spending. - [ARTEMIS](https://plain-ayi.com/repo/artemis): Lets AI use a real Android phone like a person would, following plain-language instructions. - [Local Deep Research](https://plain-ayi.com/repo/local-deep-research): A research assistant that searches the web and your documents, then writes reports with citations. - [PraisonAI](https://plain-ayi.com/repo/praisonai): Build teams of AI agents that research, plan and carry out tasks across your apps. - [Brigade](https://plain-ayi.com/repo/brigade): A self-hosted team of AI agents with shared memory that you can reach from your terminal or chat apps. - [OpenBot](https://plain-ayi.com/repo/openbot): A starting template for a company's own AI coworkers, each with its own browser, files and tools. - [TrueForge](https://plain-ayi.com/repo/trueforge): Ready-made software that turns an AI model into a working agent, with a chat window, tools and safety checks. - [MetaGPT](https://plain-ayi.com/repo/metagpt): Turns a one-line idea into a software project using a team of AI agents playing company roles. - [LoopX](https://plain-ayi.com/repo/loopx): Keeps AI agents working on long goals across many sessions, tracking plans, decisions and evidence. - [Peekaboo](https://plain-ayi.com/repo/peekaboo): A Mac tool that lets AI see your screen, take screenshots and click and type in apps for you. - [Kun](https://plain-ayi.com/repo/kun): A desktop AI workspace where agents help you write code, work on documents and research, keeping data on your computer. - [Agentic Bug Hunter](https://plain-ayi.com/repo/agentic-bug-hunter): An AI tool that looks for security weaknesses in websites and writes reports for bug bounty programmes. - [Steel Browser](https://plain-ayi.com/repo/steel-browser): A ready-made web browser service that AI agents and apps can control to use websites. - [ClawX](https://plain-ayi.com/repo/clawx): A desktop app that lets you set up and use OpenClaw AI agents without the command line. - [Raven](https://plain-ayi.com/repo/raven): An early-stage system that coordinates many specialised AI agents to complete large projects. - [Swarms](https://plain-ayi.com/repo/swarms): A Python framework for building teams of AI agents that work together on tasks. - [Yao Agents](https://plain-ayi.com/repo/yao-agents): A self-hosted place to run your AI agents and workspaces across all your devices. - [Agent S](https://plain-ayi.com/repo/agent-s): An open-source AI agent that uses your computer like a person, clicking, typing and scrolling to finish tasks. - [MagenticLite (Magentic-UI)](https://plain-ayi.com/repo/magenticlite): An experimental Microsoft AI assistant that does web and file tasks for you, checking in before important steps. - [Mobilerun](https://plain-ayi.com/repo/mobilerun): Lets an AI agent control Android and iPhone devices from plain-language instructions. - [iPolloWork](https://plain-ayi.com/repo/ipollowork): A desktop workspace where people and teams of AI agents plan tasks and create code, documents, slides and video. - [Osmedeus](https://plain-ayi.com/repo/osmedeus): An engine that automates security scanning workflows, with optional AI agent steps. - [CodePilot](https://plain-ayi.com/repo/codepilot): A desktop app for chatting with many AI models and letting an AI assistant work on your files and tasks. - [Agent Squad](https://plain-ayi.com/repo/agent-squad): Sends each question to the best-suited AI agent in a team and keeps the conversation flowing between them. - [Magic (Magicrew)](https://plain-ayi.com/repo/magic): An all-in-one AI agent platform for businesses, with assistants, expert agents, approvals and budget controls. - [MathModelAgent](https://plain-ayi.com/repo/mathmodelagent): An AI agent that works through mathematical modelling problems and writes up a formatted paper. - [HexStrike AI](https://plain-ayi.com/repo/hexstrike-ai): Connects AI assistants to a large set of security-testing tools so they can run automated security checks. - [AIPOCH Open-Science](https://plain-ayi.com/repo/aipoch-open-science): A desktop research workbench where AI agents help scientists analyse data, run code and write reports. - [SenseNova-Skills](https://plain-ayi.com/repo/sensenova-skills): Ready-made skills that let AI agents make slides, infographics and charts, analyse spreadsheets and do research. - [Open Dots](https://plain-ayi.com/repo/open-dots): A self-hosted workspace for running Claude coding tasks from the web or Telegram, with approvals. - [Open Executive](https://plain-ayi.com/repo/open-executive): An AI 'executive team' that answers business questions in one voice, backed by specialist agents. - [FrontierAgent](https://plain-ayi.com/repo/frontieragent): A terminal-based AI agent that researches, works with files and can split big tasks among helper agents. - [HolaOS](https://plain-ayi.com/repo/holaos): A workspace where AI agents work beside your apps, chats and files, run on your own machines. - [InkOS](https://plain-ayi.com/repo/inkos): An AI writing assistant that helps plan, write, review and revise novels, scripts and interactive stories. - [Feynman](https://plain-ayi.com/repo/feynman): An AI research assistant that searches scientific papers and writes cited reviews and summaries. - [Google Ads + Meta Ads + GA4 MCP (Ryze)](https://plain-ayi.com/repo/ryze-ads-mcp): Connects AI assistants like Claude or ChatGPT to your Google Ads, Facebook ads and Google Analytics accounts. - [T3MP3ST](https://plain-ayi.com/repo/t3mp3st): A multi-agent platform that turns an AI coding agent into a security testing tool. - [Open Deep Research](https://plain-ayi.com/repo/open-deep-research): An AI research assistant that searches the web in rounds and writes up a detailed report on any topic. - [mcp-agent](https://plain-ayi.com/repo/mcp-agent): A Python framework for building AI agents that use tools through the Model Context Protocol. - [Parlant](https://plain-ayi.com/repo/parlant): Helps businesses build customer service chatbots that follow their rules and stay on-brand. - [PentestGPT](https://plain-ayi.com/repo/pentestgpt): An AI agent that helps security testers find weaknesses in systems and solve hacking practice challenges. - [kubectl-ai](https://plain-ayi.com/repo/kubectl-ai): Lets engineers manage Kubernetes server clusters by describing what they want in plain language. - [IntentKit](https://plain-ayi.com/repo/intentkit): A self-hosted system for running a team of cloud AI agents that work together. - [Crucix](https://plain-ayi.com/repo/crucix): A self-hosted dashboard that gathers live world data from many open sources into one view. - [Moltworker (OpenClaw on Cloudflare Workers)](https://plain-ayi.com/repo/moltworker): An experimental way to run the OpenClaw personal AI assistant on Cloudflare's cloud instead of your own computer. - [Julep](https://plain-ayi.com/repo/julep): A framework for building AI agents whose workflows can crash and resume safely and explain each step. - [Upsonic](https://plain-ayi.com/repo/upsonic): A Python framework for building AI agents that can work on their own or follow set tasks. - [Open Browser](https://plain-ayi.com/repo/open-browser): Lets an AI agent control a web browser to complete tasks on any website. - [Xianyu AutoAgent](https://plain-ayi.com/repo/xianyu-autoagent): An AI customer-service bot that answers buyers and handles price haggling on the Xianyu second-hand marketplace. - [VIPER](https://plain-ayi.com/repo/viper): A red team platform for simulating attacks, with a built-in AI assistant. ## Coding assistants AI tools that write, explain and fix code alongside a programmer. - [Orca](https://plain-ayi.com/repo/orca): A workspace app for running several AI coding agents side by side and keeping track of them in one place. - [Open Interpreter](https://plain-ayi.com/repo/open-interpreter): An AI coding assistant for your terminal, tuned to get good results from lower-cost AI models. - [oh-my-pi](https://plain-ayi.com/repo/oh-my-pi): A terminal coding agent that uses the same code-understanding tools as a programmer's editor. - [Gemini CLI](https://plain-ayi.com/repo/gemini-cli): Brings Google's Gemini AI into your terminal to help read, write and fix code. - [cmux](https://plain-ayi.com/repo/cmux): A Mac terminal app for juggling many AI coding agents at once, with alerts when one needs you. - [OpenHands](https://plain-ayi.com/repo/openhands): A control centre for running AI coding agents on your own computer or servers, including automated jobs. - [Kilo Code](https://plain-ayi.com/repo/kilo-code): An open-source AI coding agent that writes, explains and fixes code in VS Code, JetBrains or the terminal. - [Coder](https://plain-ayi.com/repo/coder): Self-hosted cloud workspaces for developers, plus AI coding agents that run on your company's own servers. - [OmO](https://plain-ayi.com/repo/omo): An AI agent for your terminal that plans, writes code and checks its own work on bigger jobs. - [Qwen Code](https://plain-ayi.com/repo/qwen-code): An open-source AI coding assistant for your terminal, code editor or desktop that works with many AI models. - [OpenChamber](https://plain-ayi.com/repo/openchamber): A workspace for running and reviewing AI coding work on desktop, web, VS Code and phone. - [Superset](https://plain-ayi.com/repo/superset): A desktop app for running several AI coding agents at once, each on its own copy of your project. - [Codewhale](https://plain-ayi.com/repo/codewhale): A terminal coding agent that edits files and runs commands for you, using whichever AI model you choose. - [Aider](https://plain-ayi.com/repo/aider): An AI pair programmer in your terminal that edits your code and saves each change. - [Reasonix](https://plain-ayi.com/repo/reasonix): An AI coding assistant that reads your project, edits files and runs tests, asking before each step if you want. - [GitHub1s](https://plain-ayi.com/repo/github1s): Read any GitHub project's code in a browser-based code editor, with an AI chat to explain it. - [jcode](https://plain-ayi.com/repo/jcode): A lightweight terminal coding agent built to run many AI helpers in parallel on one machine. - [OpenClaude](https://plain-ayi.com/repo/openclaude): An AI coding assistant for the terminal that works with many cloud and local AI models. - [CodeCompanion](https://plain-ayi.com/repo/codecompanion-nvim): Brings AI chat and coding agents into the Neovim code editor. - [Crush](https://plain-ayi.com/repo/crush): An AI coding assistant that runs in your terminal and works with the AI model you choose. - [PR-Agent](https://plain-ayi.com/repo/pr-agent): An AI helper that reviews and describes code changes before they are merged into a project. - [K8sGPT](https://plain-ayi.com/repo/k8sgpt): Scans Kubernetes server setups for problems and explains them in plain English using AI. - [Paseo](https://plain-ayi.com/repo/paseo): Run and manage several AI coding agents at once from your desktop, phone, browser or terminal. - [mini-swe-agent](https://plain-ayi.com/repo/mini-swe-agent): A tiny, simple AI coding agent that fixes software issues or helps in your terminal. - [Tabby](https://plain-ayi.com/repo/tabby): A self-hosted AI coding assistant that suggests code as you type, without sending it to the cloud. - [Terax](https://plain-ayi.com/repo/terax): A small, fast coding workspace that combines a terminal, code editor and AI helper in one app. - [cc-haha](https://plain-ayi.com/repo/cc-haha): A desktop app that puts Claude Code-style AI coding agents in a visual workspace with tabs, reviews and remote access. - [Open SWE](https://plain-ayi.com/repo/open-swe): An AI coding agent that works in the background to investigate code, make changes and open pull requests. - [Emdash](https://plain-ayi.com/repo/emdash): A desktop app for running several AI coding agents at once, each working on its own copy of your code. - [OpenUI](https://plain-ayi.com/repo/openui): Describe a part of a web page in words and see it built live, then get the code. - [Happy](https://plain-ayi.com/repo/happy): Run Claude, Codex and Grok coding sessions from one app and keep working from your phone. - [SuperPlane](https://plain-ayi.com/repo/superplane): Has AI coding agents turn routine backlog tasks into checked, ready-to-review code changes. - [Codex Security](https://plain-ayi.com/repo/codex-security): OpenAI's tool that scans your code for security weaknesses, checks them and suggests fixes. - [Forge](https://plain-ayi.com/repo/forgecode): An AI coding assistant that works in your terminal and connects to hundreds of AI models. - [GitDiagram](https://plain-ayi.com/repo/gitdiagram): See how any GitHub project is put together as an interactive diagram or a one-minute explainer video. - [Atlas](https://plain-ayi.com/repo/atlas-agents): A desktop app for running several AI coding agents side by side and keeping a record of what each changed. - [Claurst](https://plain-ayi.com/repo/claurst): An open-source AI coding assistant for the terminal, written in Rust, that works with many AI providers. - [Kaku](https://plain-ayi.com/repo/kaku): A ready-to-use Mac terminal app with built-in AI help and support for AI coding agents. - [MiMoCode](https://plain-ayi.com/repo/mimo-code): A command-line coding helper that reads, writes and runs code, and remembers your project. - [Code-Graph-RAG](https://plain-ayi.com/repo/code-graph-rag): Maps a whole codebase into a graph so you can ask questions about it and edit it with AI. - [OpenCommit](https://plain-ayi.com/repo/opencommit): Writes the description for your saved code changes automatically, using an AI model. - [DeepAudit](https://plain-ayi.com/repo/deepaudit): A team of AI agents that reviews code projects for security weaknesses and produces audit reports. - [ANUS](https://plain-ayi.com/repo/anus): A terminal coding assistant that runs on free AI model tiers, switching models when one hits its limit. - [OpenCursor](https://plain-ayi.com/repo/opencursor): An open-source AI coding agent inside VS Code that works with your choice of AI model. - [Trae Agent](https://plain-ayi.com/repo/trae-agent): A command-line AI agent from ByteDance that carries out programming tasks from plain-English instructions. - [ShellGPT](https://plain-ayi.com/repo/shell-gpt): Ask an AI questions and get ready-to-run commands and code right inside your computer's terminal. - [PocketFlow Tutorial Codebase Knowledge](https://plain-ayi.com/repo/pocketflow-codebase-tutorial): Point it at a code project and AI writes a beginner-friendly tutorial explaining how that code works. - [Open Agents](https://plain-ayi.com/repo/open-agents): A starter app from Vercel Labs for building your own cloud-based AI coding agents that work in the background. - [Copilot for Xcode](https://plain-ayi.com/repo/copilot-for-xcode): Adds AI code suggestions and chat from GitHub Copilot, Codeium and ChatGPT to Apple's Xcode. - [AI Shell](https://plain-ayi.com/repo/ai-shell): Type what you want in plain English and get the matching terminal command, with an explanation. ## Add-ons for AI coding tools Plug-ins, skills and connectors that give AI coding assistants new abilities. - [ECC](https://plain-ayi.com/repo/ecc): Gives an AI coding assistant a ready-made routine for planning, testing, reviewing and remembering its work. - [Spec Kit](https://plain-ayi.com/repo/spec-kit): Gives AI coding assistants step-by-step processes, such as writing a plan before building a feature. - [graphify](https://plain-ayi.com/repo/graphify): Maps a software project into a searchable web of connected ideas that your AI coding assistant can explore. - [CC Switch](https://plain-ayi.com/repo/cc-switch): A desktop app for switching AI providers and managing settings in Claude Code, Codex and similar coding tools. - [Agentic Awesome Skills](https://plain-ayi.com/repo/agentic-awesome-skills): A huge library of ready-made instructions that teach AI coding assistants new tasks, plus a tool to choose them. - [Awesome GitHub Copilot](https://plain-ayi.com/repo/awesome-copilot): A community collection of ready-made agents, instructions and skills to customise GitHub Copilot. - [RTK](https://plain-ayi.com/repo/rtk): Shrinks the text AI coding assistants read from terminal commands, so they use fewer tokens. - [Ponytail](https://plain-ayi.com/repo/ponytail): Makes an AI coding assistant write less, simpler code, without skipping safety checks or tests. - [/last30days](https://plain-ayi.com/repo/last30days): Researches what people said about any topic in the last 30 days across Reddit, X, YouTube and more. - [Front-End Checklist](https://plain-ayi.com/repo/front-end-checklist): A checklist of website quality rules that people and AI coding assistants can use to review web pages. - [Archify](https://plain-ayi.com/repo/archify): Ask your AI assistant to turn an idea, plan or codebase into an interactive diagram or one-page explainer. - [Context7](https://plain-ayi.com/repo/context7): Feeds your AI coding assistant current documentation for the software libraries you use, so its answers aren't out of date. - [BMad Method](https://plain-ayi.com/repo/bmad-method): A step-by-step method and set of AI helpers for planning and building software with coding assistants. - [CodexBar](https://plain-ayi.com/repo/codexbar): A small menu-bar app that shows how much of your AI coding tools' usage limits you have left. - [codebase-memory-mcp](https://plain-ayi.com/repo/codebase-memory-mcp): Gives AI coding assistants a map of your code so they find things faster and use fewer tokens. - [Chrome DevTools for agents](https://plain-ayi.com/repo/chrome-devtools-mcp): Lets an AI coding assistant open and control Chrome to test, debug and measure the speed of websites. - [UI UX Pro Max](https://plain-ayi.com/repo/ui-ux-pro-max): Gives AI coding assistants design know-how so the apps and websites they build look more polished. - [Awesome Agent Skills](https://plain-ayi.com/repo/awesome-agent-skills): A curated directory of add-on "skills" that teach AI assistants new tasks, from documents to web search. - [OpenSpec](https://plain-ayi.com/repo/openspec): Helps you and your AI coding assistant agree on a written plan before any code gets written. - [Serena](https://plain-ayi.com/repo/serena): Gives AI coding assistants smarter tools to find, understand and change code in large projects. - [Headroom](https://plain-ayi.com/repo/headroom): Shrinks the text an AI assistant has to read, so it uses fewer tokens and costs less. - [Caveman](https://plain-ayi.com/repo/caveman): Makes AI coding assistants answer in short, plain sentences and read less, to cut what they cost to use. - [Agent Skills](https://plain-ayi.com/repo/agent-skills): A set of ready-made instructions that make AI coding assistants follow good software engineering habits. - [GitHub MCP Server](https://plain-ayi.com/repo/github-mcp-server): Lets AI assistants work directly with GitHub: reading code, managing issues and reviewing changes. - [REA: Reverse Engineer Anything](https://plain-ayi.com/repo/rea): Lets an AI assistant look inside an existing app to explain how one of its features works. - [Claude Code Templates](https://plain-ayi.com/repo/claude-code-templates): A catalogue of ready-made agents, commands and settings you can add to Claude Code in one step. - [herdr](https://plain-ayi.com/repo/herdr): A terminal workspace for running several AI coding agents at once and seeing which ones need you. - [Understand Anything](https://plain-ayi.com/repo/understand-anything): Turns a software project or notes collection into an interactive map you can explore and ask questions about. - [Agents (plugins for AI coding tools)](https://plain-ayi.com/repo/wshobson-agents): A large collection of plugins, helper agents and skills that add new abilities to AI coding assistants. - [Diagram Design](https://plain-ayi.com/repo/diagram-design): Lets your AI assistant draw clean, on-brand diagrams from a plain-English request. - [Scientific Agent Skills](https://plain-ayi.com/repo/scientific-agent-skills): Adds ready-made science know-how to AI assistants, from genetics and chemistry to data analysis and paper writing. - [Claude HUD](https://plain-ayi.com/repo/claude-hud): Shows a live status bar in Claude Code with how much memory is used, usage limits and what's running. - [Superpowers](https://plain-ayi.com/repo/superpowers): Teaches your AI coding assistant a careful, step-by-step way to plan, build and check software. - [Marketing Skills for AI Agents](https://plain-ayi.com/repo/marketing-skills): Ready-made marketing know-how that AI assistants can use for copywriting, SEO, ads, pricing and growth tasks. - [Ruflo](https://plain-ayi.com/repo/ruflo): Adds teams of cooperating AI helpers, shared memory and control tools to Claude Code and Codex. - [Playwright MCP](https://plain-ayi.com/repo/playwright-mcp): Lets AI assistants open and use web pages in a real browser: clicking, typing and reading what's there. - [MCP Toolbox for Databases](https://plain-ayi.com/repo/mcp-toolbox-for-databases): Connects AI assistants and agents to your databases so you can ask about your data in plain English. - [MCP Servers for AWS](https://plain-ayi.com/repo/aws-mcp-servers): Connectors that let AI assistants read AWS documentation and work with Amazon's cloud services. - [Claude Code Plugins Directory](https://plain-ayi.com/repo/claude-code-plugins-directory): Anthropic's official list of add-ons you can install into the Claude Code AI coding assistant. - [Claude-Mem](https://plain-ayi.com/repo/claude-mem): Gives AI coding assistants a memory, so they remember past work on a project in later sessions. - [Archon](https://plain-ayi.com/repo/archon): Makes AI coding assistants follow the same reliable steps every time: plan, build, test, review. - [book-to-skill](https://plain-ayi.com/repo/book-to-skill): Turns a technical book or a folder of documents into a skill your AI assistant can look things up in. - [Beads](https://plain-ayi.com/repo/beads): A to-do tracker built for AI coding agents, so they can keep track of long projects without losing their place. - [SkillSpector](https://plain-ayi.com/repo/skillspector): Checks AI agent skills for security risks, like hidden instructions or data theft, before you install them. - [Planning with Files](https://plain-ayi.com/repo/planning-with-files): Saves an AI coding agent's plan in files, so it can resume where it left off after its memory resets. - [Browser Harness](https://plain-ayi.com/repo/browser-harness): Lets AI coding assistants use your own Chrome browser, already logged in, to do web tasks for you. - [ARIS (Auto-Research-In-Sleep)](https://plain-ayi.com/repo/aris): A set of instructions that lets AI coding assistants carry out machine-learning research steps on their own. - [code-review-graph](https://plain-ayi.com/repo/code-review-graph): Builds a map of your code so AI coding tools only read the parts that matter for a change. - [GSD Core](https://plain-ayi.com/repo/gsd-core): A step-by-step workflow that keeps AI coding assistants organised from plan to finished code. - [Orchestrator.inc](https://plain-ayi.com/repo/orchestrator-inc): A desktop app for running and supervising several AI coding agents on one project at once. - [Impeccable](https://plain-ayi.com/repo/impeccable): Teaches AI coding assistants good design, so the websites and apps they build look less generic. - [InsForge](https://plain-ayi.com/repo/insforge): Gives AI coding assistants a ready-made back end, such as database, logins, file storage and hosting, to build full apps. - [oh-my-claudecode](https://plain-ayi.com/repo/oh-my-claudecode): An add-on for Claude Code that coordinates teams of AI helpers to build software from a single request. - [ccstatusline](https://plain-ayi.com/repo/ccstatusline): Adds a customizable status bar to Claude Code showing the AI model, code branch, token use and more. - [MCP for Unity](https://plain-ayi.com/repo/mcp-for-unity): Lets AI assistants build and edit games in the Unity editor from plain-language requests. - [Awesome Claude Code Subagents](https://plain-ayi.com/repo/awesome-claude-code-subagents): A collection of specialist AI helpers for Claude Code, each focused on one kind of development task. - [Plannotator](https://plain-ayi.com/repo/plannotator): Lets you review and mark up an AI coding agent's plans and code in your browser, then send feedback back. - [MCP Inspector](https://plain-ayi.com/repo/mcp-inspector): A developer tool for testing and inspecting MCP servers. - [Repomix](https://plain-ayi.com/repo/repomix): Packs a whole code project into one file you can give to ChatGPT, Claude or another AI. - [Taste Skill](https://plain-ayi.com/repo/taste-skill): Gives AI coding assistants design direction so the websites they build look less generic. - [IDA Pro MCP](https://plain-ayi.com/repo/ida-pro-mcp): Connects the IDA Pro reverse-engineering program to AI assistants so they can help analyse software. - [Academic Research Skills](https://plain-ayi.com/repo/academic-research-skills): Helps researchers plan, write, check and revise academic papers with Claude, pausing for approval at each stage. - [Humanizer](https://plain-ayi.com/repo/humanizer): A skill that rewrites AI-generated text so it reads more naturally, without changing what it says. - [n8n-MCP](https://plain-ayi.com/repo/n8n-mcp): Helps AI assistants like Claude build automations in n8n by giving them detailed knowledge of its building blocks. - [opencodex](https://plain-ayi.com/repo/opencodex): Lets coding tools like Codex and Claude Code run on other AI models, such as Gemini, DeepSeek or local ones. - [Context Mode](https://plain-ayi.com/repo/context-mode): Keeps AI coding assistants from filling their limited memory with bulky tool output. - [Universal Modder](https://plain-ayi.com/repo/universal-modder): Skills and tools that let an AI coding agent help mod PC games you own. - [MCP Atlassian](https://plain-ayi.com/repo/mcp-atlassian): Lets AI assistants search, create and update Jira tickets and Confluence pages for you. - [Tokscale](https://plain-ayi.com/repo/tokscale): Tracks how many tokens and how much money you spend across AI coding assistants, with charts. - [Claude Code Game Studios](https://plain-ayi.com/repo/claude-code-game-studios): Turns Claude Code into an organised team of AI specialists that helps you design and build a video game. - [Claude Code Skills & Plugins](https://plain-ayi.com/repo/claude-skills): A large library of ready-made skills that give AI coding assistants know-how in many work areas. - [Claude SEO](https://plain-ayi.com/repo/claude-seo): Adds website SEO checks to Claude Code, so it can audit a site and suggest ways to rank better. - [Worktrunk](https://plain-ayi.com/repo/worktrunk): Makes it easy to run several AI coding agents side by side on the same project. - [Distilly](https://plain-ayi.com/repo/distilly): Turns messages and documents about a person into a profile an AI agent can use to reflect their way of working. - [peon-ping](https://plain-ayi.com/repo/peon-ping): Plays game character voice lines and shows banners when your AI coding agent finishes or needs your attention. - [Clawd on Desk](https://plain-ayi.com/repo/clawd-on-desk): A pixel-art desktop pet that shows what your AI coding agent is doing and tells you when it needs you. - [gws (Google Workspace CLI)](https://plain-ayi.com/repo/gws): A command-line tool that lets people and AI agents work with Gmail, Drive, Calendar, Docs and Sheets. - [Gentle-AI](https://plain-ayi.com/repo/gentle-ai): Adds memory, a working method and proof of work to the AI coding agents you already use. - [xiaohongshu-mcp](https://plain-ayi.com/repo/xiaohongshu-mcp): Lets an AI assistant work with your Xiaohongshu (RedNote) account, such as publishing posts with pictures. - [AI Website Cloner Template](https://plain-ayi.com/repo/ai-website-cloner-template): Gives an AI coding assistant a command that rebuilds a website from its address as editable code. - [Windows-MCP](https://plain-ayi.com/repo/windows-mcp): Lets AI assistants such as Claude Desktop open apps, click, type and manage files on Windows. - [Framelink MCP for Figma](https://plain-ayi.com/repo/framelink-figma-mcp): Lets AI coding tools read your Figma designs so they can turn them into working code more accurately. - [Khazix Skills](https://plain-ayi.com/repo/khazix-skills): A small set of everyday add-ons for AI assistants: setting clear goals, cleaning your disk, research reports and more. - [Loop Engineering](https://plain-ayi.com/repo/loop-engineering): Ready-made patterns for running AI coding agents on a schedule to look after a software project. - [MCP Registry](https://plain-ayi.com/repo/mcp-registry): A shared directory that lists MCP servers, the add-ons that give AI apps new tools, like an app store. - [agentmemory](https://plain-ayi.com/repo/agentmemory): Gives AI coding assistants a lasting memory, so you don't have to re-explain your project each time. - [Ouroboros](https://plain-ayi.com/repo/ouroboros): Turns a vague idea into a clear plan your AI coding assistant can build, test and improve. - [HAPI](https://plain-ayi.com/repo/hapi): Control your AI coding agents running on your computer from your phone or a web browser. - [AutoHarness](https://plain-ayi.com/repo/autoharness): A Claude Code plug-in that learns reusable skills from your own work sessions and tidies them over time. - [XERJ](https://plain-ayi.com/repo/xerj): A local search engine that helps AI coding agents find the right code without reading every file. - [CloudCLI (Claude Code UI)](https://plain-ayi.com/repo/cloudcli): A visual screen for running AI coding helpers such as Claude Code, Cursor CLI and Codex from a browser or phone. - [ego lite](https://plain-ayi.com/repo/ego-lite): A web browser where AI agents like Claude Code do web tasks in their own space while you keep browsing. - [AI Berkshire](https://plain-ayi.com/repo/ai-berkshire): A set of AI assistant skills for researching companies using the methods of well-known value investors. - [/brag](https://plain-ayi.com/repo/brag): Turns a project you've built into a short launch video with music and share text, in one command. - [Desktop Commander MCP](https://plain-ayi.com/repo/desktop-commander-mcp): Lets Claude and other AI chat apps search, edit and manage files and run programs on your computer. - [React Doctor](https://plain-ayi.com/repo/react-doctor): Checks React code for common problems, and gives AI coding agents a skill to find and fix them. - [LifeOS](https://plain-ayi.com/repo/lifeos): Turns an AI coding assistant into a personal assistant that knows your goals and remembers your work. - [CodeBurn](https://plain-ayi.com/repo/codeburn): Shows how much you spend on AI coding tools, broken down by project, model and task. - [agent-device](https://plain-ayi.com/repo/agent-device): Lets AI coding agents open, tap through and check mobile and desktop apps to verify their own changes. - [Repowise](https://plain-ayi.com/repo/repowise): Maps a codebase on your computer so you and your AI coding agent can ask how it works. - [Mobile MCP](https://plain-ayi.com/repo/mobile-mcp): Lets AI assistants like Claude Code tap, swipe and type in iPhone and Android apps. - [OfficeCLI](https://plain-ayi.com/repo/officecli): Lets AI agents create and edit Word, Excel and PowerPoint files without Microsoft Office installed. - [Claude Skills (Full-Stack Dev Skills)](https://plain-ayi.com/repo/jeffallan-claude-skills): A pack of skills that gives the Claude Code assistant expert know-how for many programming tasks. - [Taskmaster](https://plain-ayi.com/repo/taskmaster): Breaks a software project into an organised task list that AI coding tools can work through. - [AI Research Skills](https://plain-ayi.com/repo/ai-research-skills): A large library of add-on skills that help AI coding assistants carry out AI research projects. - [Guizang PPT Skill](https://plain-ayi.com/repo/guizang-ppt-skill): Lets an AI assistant turn an article or notes into a polished slide deck that opens in your browser. - [Ralph for Claude Code](https://plain-ayi.com/repo/ralph-claude-code): Keeps the Claude Code assistant working on your project in a loop until the job is done, with safety stops. - [Code2Prompt](https://plain-ayi.com/repo/code2prompt): Packs a whole code project into one neat prompt you can give to an AI chatbot. - [Garden Skills](https://plain-ayi.com/repo/garden-skills): A set of ready-made skills that teach AI coding assistants to design web pages, make videos and more. - [Ghidra MCP Server](https://plain-ayi.com/repo/ghidra-mcp): Connects AI assistants to Ghidra so they can help take apart and analyse compiled software. - [Entire CLI](https://plain-ayi.com/repo/entire-cli): Saves a searchable record of your AI coding sessions alongside your code's history. - [Ian Xiaohei Illustrations](https://plain-ayi.com/repo/ian-xiaohei-illustrations): A skill that helps the Codex AI agent draw hand-drawn style pictures for Chinese articles. - [Hunk](https://plain-ayi.com/repo/hunk): A terminal tool for reviewing code changes, with AI agents' notes shown beside the code. - [video-shotcraft](https://plain-ayi.com/repo/video-shotcraft): A skill that lets Claude Code or Codex make polished product promo videos from your own screenshots. - [Skill Seekers](https://plain-ayi.com/repo/skill-seekers): Turns documentation sites, code projects, PDFs and other sources into ready-to-use knowledge packs for AI assistants. - [Kami](https://plain-ayi.com/repo/kami): Layout rules and templates that help AI assistants produce well-designed PDFs, images and slide decks. - [Cangjie Skill](https://plain-ayi.com/repo/cangjie-skill): Turns books, long videos and podcasts into reusable skills that an AI agent can follow. - [memU](https://plain-ayi.com/repo/memu): A shared memory, stored like a wiki, that your AI agents can use across sessions and devices. - [TUIOS](https://plain-ayi.com/repo/tuios): A terminal window manager that shows what your AI coding agents are doing in each pane. - [SkillHub](https://plain-ayi.com/repo/skillhub): A self-hosted library where companies publish, find and manage skills for their AI agents. - [Firecrawl MCP Server](https://plain-ayi.com/repo/firecrawl-mcp-server): Gives AI assistants like Claude and Cursor the ability to search, read and collect information from websites. - [opcode](https://plain-ayi.com/repo/opcode): A desktop app that gives Claude Code a visual interface for managing projects, sessions and custom agents. - [avoid-ai-writing](https://plain-ayi.com/repo/avoid-ai-writing): A skill that helps AI agents spot and rewrite text that sounds machine-written. - [drawio-skill](https://plain-ayi.com/repo/drawio-skill): Lets AI coding assistants turn descriptions and real code into editable draw.io diagrams. - [Obsidian Skills](https://plain-ayi.com/repo/obsidian-skills): Teaches AI assistants how to work with Obsidian notes, canvases and databases correctly. - [Claude Ads](https://plain-ayi.com/repo/claude-ads): A Claude Code skill that reviews your ad accounts and tells you what to fix first. - [React Grab](https://plain-ayi.com/repo/react-grab): Copy any part of a web app's screen and give your AI coding agent the exact code behind it. - [Harness](https://plain-ayi.com/repo/harness): A Claude Code plugin that designs a team of specialised AI agents and skills for your project. - [Figures for Papers](https://plain-ayi.com/repo/figures4papers): Python scripts and an AI coding-assistant skill for making clean figures for research papers. - [GitHub Agentic Workflows](https://plain-ayi.com/repo/gh-aw): Lets developers write AI-powered automations for GitHub projects in plain Markdown and run them safely. - [Anthropic Cybersecurity Skills](https://plain-ayi.com/repo/anthropic-cybersecurity-skills): A large library of cybersecurity know-how that AI agents can load to help with security work. - [Awesome Codex Skills](https://plain-ayi.com/repo/awesome-codex-skills): A curated list of ready-made skills that teach OpenAI's Codex coding assistant to do specific tasks. - [Coucou](https://plain-ayi.com/repo/coucou): A little character in your Mac's notch that shows what your AI coding agents are doing. - [Oh Story](https://plain-ayi.com/repo/oh-story): Skills that help AI coding assistants plan, write and polish Chinese web novels. - [Trail-code](https://plain-ayi.com/repo/trail-code): Gives AI coding assistants a map of your code and remembers what your team has learned. - [Product Manager Skills](https://plain-ayi.com/repo/product-manager-skills): A library of product-management frameworks packaged so AI assistants can help with real PM work. - [Codex with ChatGPT](https://plain-ayi.com/repo/codex-with-chatgpt): Uses the ChatGPT website as the planner and reviewer for the Codex coding agent, which does the work. - [App Store Screenshots Generator](https://plain-ayi.com/repo/app-store-screenshots): A skill that has your AI coding assistant build an editor for App Store and Google Play screenshots. - [BrowserTools MCP](https://plain-ayi.com/repo/browser-tools-mcp): Lets AI coding assistants see what's happening in your real Chrome browser while you debug a website. - [Waza](https://plain-ayi.com/repo/waza): A set of ready-made skills that teach AI coding assistants good engineering habits. - [Exa MCP Server](https://plain-ayi.com/repo/exa-mcp-server): Connects AI assistants to Exa's web search so they can look things up and read web pages. - [Godogen](https://plain-ayi.com/repo/godogen): Lets AI coding agents like Claude Code and Codex build a whole video game from your description. - [Frontend Slides](https://plain-ayi.com/repo/frontend-slides): Helps an AI coding assistant make good-looking web slide decks or convert your PowerPoint files. - [Codex PPT Skill](https://plain-ayi.com/repo/codex-ppt-skill): A skill that turns articles, reports or notes into picture-style PowerPoint slides using AI image generation. - [Humanize KR](https://plain-ayi.com/repo/humanize-kr): A skill that rewrites AI-written Korean text so it reads like natural Korean. - [n8n-skills](https://plain-ayi.com/repo/n8n-skills): Skills that teach Claude Code how to build and fix n8n automation workflows correctly. - [Anti Slop](https://plain-ayi.com/repo/anti-slop): A rulebook that stops AI coding agents from producing generic designs, filler text and sloppy code. - [Awesome Codex Subagents](https://plain-ayi.com/repo/awesome-codex-subagents): A large collection of ready-made specialist helpers for OpenAI's Codex coding agent. - [MobileBuildMCP](https://plain-ayi.com/repo/mobilebuildmcp): Gives AI coding assistants tools to build, run and test iPhone and Mac apps. - [Semble](https://plain-ayi.com/repo/semble): Fast code search for AI coding agents that runs on your own computer with no API keys. - [Lieflat Charts](https://plain-ayi.com/repo/lieflat-charts): A skill that teaches AI agents to turn your data into polished, interactive charts, slides and reports. - [dcg (Destructive Command Guard)](https://plain-ayi.com/repo/destructive-command-guard): Stops AI coding assistants from running dangerous commands that could wipe out your work. - [agents-cli](https://plain-ayi.com/repo/google-agents-cli): Gives AI coding assistants the skills to build, test and launch AI agents on Google Cloud. - [Open SEO MCP Skills](https://plain-ayi.com/repo/open-seo-mcp-skills): SEO skills for Claude that use your own Search Console, Analytics and ads data. - [CCG](https://plain-ayi.com/repo/ccg-workflow): Lets Claude Code hand out parts of a coding task to other AI models like Codex and Gemini. - [Claude Scholar](https://plain-ayi.com/repo/claude-scholar): Add-ons that turn AI coding assistants into helpers for academic research, from reading papers to writing them. - [fireworks-tech-graph](https://plain-ayi.com/repo/fireworks-tech-graph): A skill for Claude Code and Codex that turns a plain-language description into a polished technical diagram. - [wigolo](https://plain-ayi.com/repo/wigolo): Gives AI coding assistants web search, page reading and research that run on your own computer. - [Potpie](https://plain-ayi.com/repo/potpie): Builds a living map of your codebase so AI agents understand your project. - [CC Workflow Studio](https://plain-ayi.com/repo/cc-wf-studio): Design AI agent workflows by dragging boxes on a canvas, then export them for Claude Code and other tools. - [Obsidian Mind](https://plain-ayi.com/repo/obsidian-mind): An Obsidian notes vault set up so AI agents remember your work, people and decisions between sessions. - [DSH Whale Widget (DeepSeek Balance Whale Widget)](https://plain-ayi.com/repo/deepseek-balance-whale-widget): A cute whale widget for DeepSeek Harness that shows your DeepSeek balance and daily spending. - [Evolver](https://plain-ayi.com/repo/evolver): Helps AI agents learn from past work by turning experience into reusable, trackable instructions. - [Dashi PPT Skill](https://plain-ayi.com/repo/dashi-ppt-skill): A skill that lets an AI agent turn your documents into slide decks you can edit and export to PowerPoint. - [Claude Squad](https://plain-ayi.com/repo/claude-squad): Manage several AI coding agents at once from one terminal window. - [Agent Skills](https://plain-ayi.com/repo/tech-leads-club-agent-skills): A checked library of add-on skills for AI coding assistants like Claude Code and Cursor. - [dev-browser](https://plain-ayi.com/repo/dev-browser): Lets AI coding agents control a Chrome browser to open pages, click around and check results. - [Talk to Figma MCP](https://plain-ayi.com/repo/talk-to-figma-mcp): Connects AI agents like Cursor and Claude Code to Figma so they can read and change your designs. - [DevSpace](https://plain-ayi.com/repo/devspace): Lets ChatGPT and coding agents securely read, edit and run code in projects on your own computer. - [Internet Court Skill](https://plain-ayi.com/repo/internet-court-skill): A skill pack that lets AI agents make deals, pay each other and settle disputes using blockchain tools. - [Autoresearch](https://plain-ayi.com/repo/autoresearch-skill): Makes an AI coding assistant repeatedly try changes, measure results and keep only improvements. - [ZCF](https://plain-ayi.com/repo/zcf): A one-step setup tool that configures Claude Code and Codex with workflows, connectors and settings. - [Claude Context](https://plain-ayi.com/repo/claude-context): Lets an AI coding assistant search your whole codebase for the right code to use. - [GitMCP](https://plain-ayi.com/repo/gitmcp): A free online connector that gives AI coding assistants up-to-date documentation for any GitHub project. - [CCPM](https://plain-ayi.com/repo/ccpm): A project-management skill that helps AI coding agents plan work as GitHub issues and build in parallel. - [Guizang Social Card Skill](https://plain-ayi.com/repo/guizang-social-card-skill): A skill that has Claude Code or Codex design image posts and covers for Xiaohongshu and WeChat. - [Claude Code Usage Monitor](https://plain-ayi.com/repo/claude-code-usage-monitor): A live terminal display of how much of your Claude Code usage limit you've used, with warnings. - [Godot MCP](https://plain-ayi.com/repo/godot-mcp): Lets AI assistants open, run and inspect projects in the Godot game engine. ## App builders & workflows Build AI apps, chatbots and automations with visual editors, often with little or no code. - [Dify](https://plain-ayi.com/repo/dify): Build AI chatbots, assistants and automated workflows on a visual canvas, then run them yourself or in the cloud. - [n8n](https://plain-ayi.com/repo/n8n): Build automations and AI agents by connecting apps on a visual canvas, with code when you need it. - [Kestra](https://plain-ayi.com/repo/kestra): Schedule and run automated workflows for data, AI and IT systems, built visually or as code. - [Activepieces](https://plain-ayi.com/repo/activepieces): Build automations that connect your apps and AI, with a visual builder instead of code. - [FastGPT](https://plain-ayi.com/repo/fastgpt): Build AI question-answering bots and agents on your own documents, using a visual drag-and-drop workflow editor. - [Langflow](https://plain-ayi.com/repo/langflow): Build AI chatbots, agents and workflows by connecting blocks on a visual canvas. - [JeecgBoot](https://plain-ayi.com/repo/jeecgboot): A low-code platform that uses AI to generate business software and to build AI chat and knowledge-base apps. - [MaxKB](https://plain-ayi.com/repo/maxkb): A platform for building AI assistants and Q&A bots that answer from your company's documents. - [Sim](https://plain-ayi.com/repo/sim): A workspace for building AI agents and automations visually, connected to hundreds of other apps. - [LangBot](https://plain-ayi.com/repo/langbot): Build AI chatbots and connect them to Discord, Telegram, Slack, WeChat and other chat apps. - [Onlook](https://plain-ayi.com/repo/onlook): A visual editor for designing and building websites with AI, where your edits change real code. - [Maxun](https://plain-ayi.com/repo/maxun): Collect data from websites by recording your clicks or describing what you need, then keep watching for changes. - [Teable](https://plain-ayi.com/repo/teable): A spreadsheet-style database where AI can analyse your data, build custom apps and run automations. - [Nexent](https://plain-ayi.com/repo/nexent): A platform for creating AI agents by describing what you want in plain language, without coding. - [Dyad](https://plain-ayi.com/repo/dyad): Build apps by describing them to AI, using a free program that runs on your own computer. - [BISHENG](https://plain-ayi.com/repo/bisheng): A company platform for building AI assistants, workflows and team knowledge bases. - [Awesome n8n Templates](https://plain-ayi.com/repo/awesome-n8n-templates): Hundreds of free, ready-made automation workflows for n8n, covering email, chat apps, documents and AI tasks. - [NocoBase](https://plain-ayi.com/repo/nocobase): Build business apps like CRMs and internal tools with a visual no-code editor, with AI agents helping. - [Astron Agent](https://plain-ayi.com/repo/astron-agent): A platform for companies to build AI agents and automated workflows that connect to their business systems. - [Coze Studio](https://plain-ayi.com/repo/coze-studio): A visual tool for building, testing and publishing AI agents and apps with little or no code. - [RocketRide](https://plain-ayi.com/repo/rocketride): A visual builder inside your code editor for creating, testing and running AI data pipelines. - [Botpress](https://plain-ayi.com/repo/botpress): Tools for building and launching AI chatbots and assistants on the Botpress platform. - [Self-hosted AI Starter Kit](https://plain-ayi.com/repo/self-hosted-ai-starter-kit): One setup that runs n8n automations with local AI models on your own computer, for private AI workflows. - [Prompt flow](https://plain-ayi.com/repo/promptflow): Microsoft tools for building, testing and launching apps powered by AI language models. - [RuoYi AI](https://plain-ayi.com/repo/ruoyi-ai): A full AI platform for businesses with chat, document knowledge bases, visual workflows and teams of agents. - [FlowGram](https://plain-ayi.com/repo/flowgram): A toolkit for developers to build their own drag-and-drop AI workflow editors. - [Open CoDesign](https://plain-ayi.com/repo/open-codesign): A desktop app that turns a prompt into a prototype, slide deck or marketing design using your own AI model. - [AIHOT](https://plain-ayi.com/repo/aihot): A website template that collects news from chosen sources and uses AI to pick highlights and write a daily digest. - [AstronRPA](https://plain-ayi.com/repo/astron-rpa): A desktop app for automating office software and websites with drag-and-drop workflows and AI agents. - [Refly](https://plain-ayi.com/repo/refly): Build reusable AI "skills" in a visual editor and use them in chat apps, APIs or coding assistants. - [Fragments](https://plain-ayi.com/repo/fragments): An open-source template for building apps that create working mini-programs from a text description. - [Cloudflare VibeSDK](https://plain-ayi.com/repo/vibesdk): An open-source platform where people build web apps by describing them to an AI agent. - [Kiln](https://plain-ayi.com/repo/kiln): A free desktop app for building, testing and improving AI features, with evaluations, fine-tuning and more. - [PySpur](https://plain-ayi.com/repo/pyspur): A visual playground for building, testing and improving AI agent workflows. ## Documents & knowledge Help AI read, search and answer questions about your documents, notes and data. - [RAGFlow](https://plain-ayi.com/repo/ragflow): Lets AI answer questions from your own documents, with citations pointing back to the sources. - [MarkItDown](https://plain-ayi.com/repo/markitdown): Converts Word, PowerPoint, Excel, PDFs and more into clean text that AI tools can read. - [AnythingLLM](https://plain-ayi.com/repo/anythingllm): A private, all-in-one AI app for chatting with your documents and running AI helpers on your own computer. - [Docling](https://plain-ayi.com/repo/docling): Converts PDFs, Word files, slides and more into clean text that AI tools can read. - [PaddleOCR](https://plain-ayi.com/repo/paddleocr): Reads text, tables and formulas from images and PDFs and turns them into tidy, structured files. - [DeepTutor](https://plain-ayi.com/repo/deeptutor): An AI tutor that learns about you and helps you study from your own books and documents. - [WeKnora](https://plain-ayi.com/repo/weknora): Turns a team's documents into a searchable knowledge base that AI can answer questions from. - [Onyx](https://plain-ayi.com/repo/onyx): A self-hostable AI chat for teams that finds answers in your company's apps and documents. - [SiYuan](https://plain-ayi.com/repo/siyuan): A private, self-hosted note-taking and knowledge app with built-in AI writing and question answering. - [OpenMetadata](https://plain-ayi.com/repo/openmetadata): A catalog of an organisation's data that helps people and AI find, understand and trust it. - [Quivr](https://plain-ayi.com/repo/quivr): Takes in a steady flow of content, makes it searchable within seconds and alerts you on topics you follow. - [DocsGPT](https://plain-ayi.com/repo/docsgpt): Builds private AI assistants that answer questions from your documents and apps, with sources. - [LightRAG](https://plain-ayi.com/repo/lightrag): Lets AI answer questions about your documents by building a map of the people, ideas and links inside them. - [GraphRAG](https://plain-ayi.com/repo/graphrag): A research method that maps the people, places and ideas in your documents so AI can answer bigger questions about them. - [Unstructured](https://plain-ayi.com/repo/unstructured): Turns messy documents like PDFs, Word files and web pages into clean text that AI models can use. - [SurfSense](https://plain-ayi.com/repo/surfsense): A private desktop app, like NotebookLM, where an AI agent researches, summarises and edits your documents on your machine. - [GPT Academic](https://plain-ayi.com/repo/gpt-academic): A web app that uses AI chat models to help read, translate, polish and summarise academic papers. - [Khoj](https://plain-ayi.com/repo/khoj): A personal AI assistant that answers questions from your own documents and the web. - [DB-GPT](https://plain-ayi.com/repo/db-gpt): An AI assistant that connects to your databases and spreadsheets, answers questions and builds reports. - [Claudian](https://plain-ayi.com/repo/claudian): Puts AI agents like Claude Code and Codex inside the Obsidian notes app, so they can read and edit your notes. - [RAG chat app with Azure OpenAI and Azure AI Search](https://plain-ayi.com/repo/azure-search-openai-demo): A sample ChatGPT-style app that answers questions about your own documents using Microsoft Azure services. - [PDFMathTranslate](https://plain-ayi.com/repo/pdfmathtranslate): Translates scientific PDF papers into another language while keeping the formulas, charts and layout intact. - [NoteGen](https://plain-ayi.com/repo/notegen): A note-taking app that lets you save quick scraps first, then uses AI to turn them into tidy notes. - [OpenDataLoader PDF](https://plain-ayi.com/repo/opendataloader-pdf): Pulls text, tables and layout out of PDFs so AI can use them, and helps make PDFs screen-reader friendly. - [WrenAI](https://plain-ayi.com/repo/wrenai): Lets AI agents answer business questions from your databases and turn the answers into shareable dashboards. - [GenOffice](https://plain-ayi.com/repo/genoffice): A free office suite for documents, spreadsheets, slides and PDFs, with an AI helper that edits alongside you. - [Yuxi](https://plain-ayi.com/repo/yuxi): A self-hosted platform where teams build AI agents that answer from their own documents and knowledge. - [Langchain-Chatchat](https://plain-ayi.com/repo/langchain-chatchat): Ask questions about your own documents using open-source AI models that can run fully offline. - [claude-obsidian](https://plain-ayi.com/repo/claude-obsidian): Uses Claude Code to turn your sources into a linked, cited knowledge base of notes in Obsidian. - [Copilot for Obsidian](https://plain-ayi.com/repo/obsidian-copilot): A plugin that brings AI chat and AI agents into your Obsidian notes for research and writing. - [GROBID](https://plain-ayi.com/repo/grobid): Pulls titles, authors, references and full text out of scientific PDFs into structured data. - [Blinko](https://plain-ayi.com/repo/blinko): A self-hosted note-taking app for quick ideas, with AI search that answers questions about your notes. - [SQLBot](https://plain-ayi.com/repo/sqlbot): Ask questions about your company's data in plain language and get answers and charts back. - [serviette](https://plain-ayi.com/repo/serviette): Sets up a chat that answers questions from your documents, and stays current as the files change. - [LEANN](https://plain-ayi.com/repo/leann): Lets you search and ask questions about your own files, emails and notes, privately on your laptop. - [Utopia](https://plain-ayi.com/repo/utopia): A self-hosted company knowledge base that tracks how facts change over time and answers with sources. - [PandaWiki](https://plain-ayi.com/repo/pandawiki): Build an AI-powered wiki or help centre that can write, search and answer questions about your documents. - [docTR](https://plain-ayi.com/repo/doctr): Reads text from scanned documents and photos using AI. - [Xberg](https://plain-ayi.com/repo/xberg): Pulls clean text, tables and details out of PDFs, images, office files, audio and more. - [Unstract](https://plain-ayi.com/repo/unstract): Uses AI to pull neat, structured data out of messy documents like PDFs, scans and images. - [kotaemon](https://plain-ayi.com/repo/kotaemon): Chat with your documents and get answers with citations that show exactly where the information came from. - [PageIndex](https://plain-ayi.com/repo/pageindex): Helps AI find answers in long reports by reading a document's table of contents the way a person would. - [ChatLab](https://plain-ayi.com/repo/chatlab): A desktop app that lets you explore and ask AI questions about your exported chat history, privately. - [PandasAI](https://plain-ayi.com/repo/pandasai): Ask questions about your spreadsheets and databases in plain English and get answers or charts back. - [Zotero MCP](https://plain-ayi.com/repo/zotero-mcp): Connects your Zotero research library to AI assistants so you can search, read and cite papers by chatting. - [AutoRAG Agent](https://plain-ayi.com/repo/autorag): An AI librarian that searches your files, chats and email and answers questions with links to the sources. - [PaperQA2](https://plain-ayi.com/repo/paper-qa): Answers questions about a folder of research papers, with citations to the exact pages used. - [PixelRAG](https://plain-ayi.com/repo/pixelrag): Searches web pages and documents by how they look, using screenshots instead of extracted text. - [UltraRAG](https://plain-ayi.com/repo/ultrarag): A low-code toolkit for building and testing AI systems that answer questions from your own documents. - [DeepSearcher](https://plain-ayi.com/repo/deep-searcher): Searches and reasons over your own private documents to give detailed answers and reports. - [Knowledge Graph Builder](https://plain-ayi.com/repo/llm-graph-builder): Turns documents, web pages and videos into a connected knowledge graph you can chat with. - [Smart Connections](https://plain-ayi.com/repo/obsidian-smart-connections): Finds related notes while you write in Obsidian, working privately on your device. - [Sparrow](https://plain-ayi.com/repo/sparrow): Pulls clean, structured data out of invoices, receipts, statements and forms using AI. - [Deep Lake](https://plain-ayi.com/repo/deeplake): A database for AI that stores images, text, audio and more, and lets AI apps search through them. - [MegaParse](https://plain-ayi.com/repo/megaparse): A tool that converts PDFs, Word and PowerPoint files into clean text that AI models can read well. - [R2R](https://plain-ayi.com/repo/r2r): A system that lets AI search your documents and answer questions with sources. - [Chandra](https://plain-ayi.com/repo/chandra): An AI model that reads scans and PDFs, including tables, forms and handwriting, and keeps the layout. - [Zotero GPT](https://plain-ayi.com/repo/zotero-gpt): A Zotero plug-in that lets you ask AI questions about your research papers. ## AI memory Give AI assistants and agents a long-term memory, so they remember people, facts and past work. - [Hindsight](https://plain-ayi.com/repo/hindsight): Gives AI agents a long-term memory, so they can learn from past conversations and work. - [Mem0](https://plain-ayi.com/repo/mem0): Gives AI assistants a memory so they can remember people's preferences across conversations. - [OpenViking](https://plain-ayi.com/repo/openviking): Gives AI agents one organised place to store what they know, remember and can do. - [MemPalace](https://plain-ayi.com/repo/mempalace): Gives AI assistants a private, long-term memory of your past conversations, stored on your own computer. - [Cognee](https://plain-ayi.com/repo/cognee): Gives AI agents a long-term memory built from your documents, code and conversations. - [Graphiti](https://plain-ayi.com/repo/graphiti): Builds a memory for AI agents that tracks facts, how they connect and how they change over time. - [TencentDB Agent Memory](https://plain-ayi.com/repo/tencentdb-agent-memory): A shared memory for teams of AI agents, so knowledge from past work carries over to the next task. - [MemOS](https://plain-ayi.com/repo/memos): Gives AI assistants and agents a long-term memory they can store, search and update. - [Honcho](https://plain-ayi.com/repo/honcho): A memory service that helps AI agents remember and understand the people and things they deal with over time. - [Memori](https://plain-ayi.com/repo/memori): Gives AI apps a memory so they recall users' details and past actions across conversations. - [EverOS](https://plain-ayi.com/repo/everos): A shared, long-term memory that AI agents and apps can write to and look things up in. - [Memvid](https://plain-ayi.com/repo/memvid): Stores an AI agent's memory in a single portable file, without needing a database. ## Images & video Create and edit pictures and videos with AI. - [ComfyUI](https://plain-ayi.com/repo/comfyui): Create AI images and videos by connecting building blocks on a visual canvas. - [MoneyPrinterTurbo](https://plain-ayi.com/repo/moneyprinterturbo): Type a topic or keyword and get a finished short video with script, voiceover, footage, subtitles and music. - [Stable Diffusion web UI](https://plain-ayi.com/repo/stable-diffusion-web-ui): A web page on your own computer for making and editing AI images with Stable Diffusion. - [Ultralytics YOLO](https://plain-ayi.com/repo/ultralytics-yolo): Finds, outlines and tracks objects and people in photos and videos using YOLO vision models. - [Invoke](https://plain-ayi.com/repo/invoke): A creative app for making and editing AI images on your own computer, with a canvas, workflows and gallery. - [HyperFrames](https://plain-ayi.com/repo/hyperframes): Lets AI coding assistants make videos by writing web pages that are turned into MP4 files. - [OpenMontage](https://plain-ayi.com/repo/openmontage): Turns an AI coding assistant into a video studio that plans, makes and edits videos from a plain description. - [Deep-Live-Cam](https://plain-ayi.com/repo/deep-live-cam): Swaps a face in live webcam video or a recorded video, using just one photo. - [Image Toolbox](https://plain-ayi.com/repo/image-toolbox): A free Android app for editing photos, from cropping and filters to AI background removal. - [Upscayl](https://plain-ayi.com/repo/upscayl): A free desktop app that uses AI to enlarge small or pixelated images while keeping them sharp. - [Faceswap](https://plain-ayi.com/repo/faceswap): Desktop software that uses deep learning to swap faces in photos and videos. - [SD.Next](https://plain-ayi.com/repo/sdnext): An all-in-one web interface for generating and editing images and video with AI. - [LibrePhotos](https://plain-ayi.com/repo/librephotos): A self-hosted photo library that uses AI to recognise faces, tag photos and search by description. - [Manga Image Translator](https://plain-ayi.com/repo/manga-image-translator): Translates the text inside manga and other images, then erases the original and fits in the translation. - [FaceFusion](https://plain-ayi.com/repo/facefusion): A tool for swapping and editing faces in images and videos using AI. - [stable-diffusion.cpp](https://plain-ayi.com/repo/stable-diffusion-cpp): A lightweight program for making AI images and videos on your own computer, using many popular models. - [Hypit](https://plain-ayi.com/repo/hypit): Lets AI coding assistants recreate a video's style and structure with your own words, footage and effects. - [Awesome GPT-Image-2](https://plain-ayi.com/repo/awesome-gpt-image-2): A large gallery of example prompts and templates for creating images with OpenAI's GPT-Image models. - [ArtCraft](https://plain-ayi.com/repo/artcraft): A desktop app for artists to compose scenes in 2D and 3D, then turn them into AI images and video. - [Ultralytics YOLOv3](https://plain-ayi.com/repo/yolov3): Spots and labels objects such as people, cars and animals in photos and videos in real time. - [Generative AI for Krita](https://plain-ayi.com/repo/krita-ai-diffusion): Adds AI image generation and editing inside Krita, the free painting program. - [Toonflow](https://plain-ayi.com/repo/toonflow): An AI studio for making short dramas and motion comics, from script and storyboard to images and video clips. - [Palmier Pro](https://plain-ayi.com/repo/palmier-pro): A Mac video editor with built-in AI video and image generation that AI assistants can also control. - [HunyuanVideo](https://plain-ayi.com/repo/hunyuanvideo): An openly released AI model from Tencent's Hunyuan team that makes videos from text descriptions. - [waoowaoo](https://plain-ayi.com/repo/waoowaoo): A creative workspace where an AI assistant helps you plan, generate and refine images and videos on a canvas. - [Awesome Nano Banana Pro Prompts](https://plain-ayi.com/repo/awesome-nano-banana-pro-prompts): A large, searchable collection of ready-made prompts for making pictures with Google's Nano Banana Pro image model. - [Concat](https://plain-ayi.com/repo/concat): A free video editor with built-in AI captions, voices and background removal that runs on your own device. - [Stability Matrix](https://plain-ayi.com/repo/stabilitymatrix): A desktop app that installs, updates and runs popular AI image-making tools for you with one click. - [Civitai](https://plain-ayi.com/repo/civitai): The code behind Civitai, a website where people share and discuss custom image-making AI models. - [SANA](https://plain-ayi.com/repo/sana): NVIDIA research models that create high-resolution images and videos from text descriptions, built for speed. - [DeepLabCut](https://plain-ayi.com/repo/deeplabcut): Tracks the body movements of animals, including people, in videos, without markers on their bodies. - [BallonsTranslator](https://plain-ayi.com/repo/ballonstranslator): Translates comics and manga with AI, then puts the translated text back into the speech bubbles. - [LTX-2](https://plain-ayi.com/repo/ltx-2): An open AI model that generates video with matching sound from text or images. - [AutoClip](https://plain-ayi.com/repo/autoclip): Paste a link to a long video and it cuts short clips with subtitles, covers and post text for social media. - [Mochi Diffusion](https://plain-ayi.com/repo/mochi-diffusion): A Mac app that generates images on your own computer, fully offline. - [FunClip](https://plain-ayi.com/repo/funclip): Transcribes a video, then lets you cut clips by picking sentences or speakers from the transcript. - [BoxMOT](https://plain-ayi.com/repo/boxmot): Software modules that follow many moving objects through video, such as people or cars. - [Final2x](https://plain-ayi.com/repo/final2x): A desktop app that uses AI to enlarge images and make them sharper. - [DramaClaw](https://plain-ayi.com/repo/dramaclaw): An AI video production line that turns a script into a finished short drama, ad or product video. - [Video2X](https://plain-ayi.com/repo/video2x): Makes videos sharper and smoother using AI to upscale resolution and add in-between frames. - [ArcReel](https://plain-ayi.com/repo/arcreel): A self-hosted workspace that turns novels, scripts or product material into short AI-made videos. - [GPT Image 2 Prompt Gallery + Skills](https://plain-ayi.com/repo/gpt-image2-skill): A gallery of example prompts plus add-ons and a command-line tool for making images with OpenAI's image models. - [Short Video Factory](https://plain-ayi.com/repo/short-video-factory): A desktop app that writes a script, adds a voice-over and subtitles, and edits short videos from your clips. - [HivisionIDPhoto](https://plain-ayi.com/repo/hivisionidphotos): Turns an ordinary photo into a standard ID or passport-style photo with the right size and background. - [Edit Banana](https://plain-ayi.com/repo/edit-banana): Turns a picture of a diagram or chart into an editable diagram file you can change. - [NarratoAI](https://plain-ayi.com/repo/narratoai): Uses AI to write commentary for film and TV clips, then edits, voices and subtitles the video. - [AI YouTube Shorts Generator](https://plain-ayi.com/repo/ai-youtube-shorts-generator): Cuts long YouTube videos into short vertical clips, using AI to pick the most engaging moments. - [PRINTFILM](https://plain-ayi.com/repo/printfilm): A platform that turns a topic or script into AI-made short videos and short dramas. - [CogVideoX](https://plain-ayi.com/repo/cogvideo): Open AI models that turn a written description or a picture into a short video clip. - [MoneyPrinter](https://plain-ayi.com/repo/moneyprinter): Makes short YouTube-style videos automatically from a topic you type in. - [Jellyfish](https://plain-ayi.com/repo/jellyfish): A workspace for making short AI-generated drama videos, from script to storyboard to finished clips. - [Video-subtitle-remover (VSR)](https://plain-ayi.com/repo/video-subtitle-remover): Removes subtitles burned into videos and text marks from images, filling the gap with AI. - [ComfyUI-Copilot](https://plain-ayi.com/repo/comfyui-copilot): An AI helper inside ComfyUI that builds, fixes and tunes image-generation workflows. - [sports](https://plain-ayi.com/repo/roboflow-sports): Computer vision tools for analysing sports video, such as tracking players and the ball. - [LTX-Video](https://plain-ayi.com/repo/ltx-video): An openly available AI model that turns text or pictures into short video clips. - [Watermark Removal](https://plain-ayi.com/repo/watermark-removal): A machine learning project that removes watermarks from images. - [Video-subtitle-extractor (VSE)](https://plain-ayi.com/repo/video-subtitle-extractor): Pulls subtitles that are burned into a video and saves them as a subtitle file. - [Jaaz](https://plain-ayi.com/repo/jaaz): A desktop creative app with an AI agent and an endless canvas for making images, videos and storyboards. - [BackgroundRemover](https://plain-ayi.com/repo/backgroundremover): A free tool that uses AI to cut the background out of photos and videos. - [RedInk](https://plain-ayi.com/repo/redink): Type one sentence and get a full set of picture-and-text posts for the Chinese social app Xiaohongshu. ## Speech & audio Turn speech into text, text into speech, and work with voices, music and sound. - [whisper.cpp](https://plain-ayi.com/repo/whisper-cpp): A fast, lightweight version of the Whisper speech-to-text model that runs on ordinary computers and phones. - [VoiceStudio](https://plain-ayi.com/repo/voicestudio): A desktop app for cloning voices, dubbing videos, dictation, transcripts and audiobooks on your own computer. - [GPT-SoVITS](https://plain-ayi.com/repo/gpt-sovits): Clone a voice from a short recording and turn written text into speech that sounds like that person. - [Voicebox](https://plain-ayi.com/repo/voicebox): A desktop voice studio that clones voices, reads text aloud and lets you dictate, all on your own computer. - [Whisper](https://plain-ayi.com/repo/whisper): Turns speech in audio or video into accurate written text, in dozens of languages. - [LiveKit Agents](https://plain-ayi.com/repo/livekit-agents): A framework for building AI voice assistants that can talk with people in real time, including over the phone. - [Pipecat](https://plain-ayi.com/repo/pipecat): A Python toolkit for building AI voice assistants that hold natural, real-time spoken conversations. - [Fish Speech](https://plain-ayi.com/repo/fish-speech): Open text-to-speech models that create expressive voices, clone voices and voice whole scenes from a script. - [sherpa-onnx](https://plain-ayi.com/repo/sherpa-onnx): Speech recognition, text-to-speech and other voice tools that work offline on phones, computers and small devices. - [faster-whisper](https://plain-ayi.com/repo/faster-whisper): Transcribes speech to text with OpenAI's Whisper model, but faster and using less memory. - [NVIDIA NeMo Speech](https://plain-ayi.com/repo/nemo-speech): NVIDIA's toolkit and open models for speech recognition, text-to-speech and voice AI. - [SpeechBrain](https://plain-ayi.com/repo/speechbrain): An open toolkit for building speech AI, such as speech recognition, speaker recognition and noise removal. - [FunASR](https://plain-ayi.com/repo/funasr): Turns speech into text, live or from recordings, and can tell speakers apart and add punctuation. - [WhisperX](https://plain-ayi.com/repo/whisperx): Fast speech-to-text that gives a time for every word and labels who is speaking. - [pyVideoTrans](https://plain-ayi.com/repo/pyvideotrans): Translates videos into another language automatically, with new subtitles and AI-dubbed voices. - [IndexTTS](https://plain-ayi.com/repo/indextts): Reads text aloud in a voice copied from one short audio clip, with control over emotion and speed. - [ESPnet](https://plain-ayi.com/repo/espnet): A research toolkit for speech AI: transcription, text-to-speech, speech translation and more. - [TEN Framework](https://plain-ayi.com/repo/ten-framework): A toolkit for building AI assistants you can talk to out loud, in real time. - [OpenWhispr](https://plain-ayi.com/repo/openwhispr): A desktop dictation app: press a key, speak, and your words appear as text wherever you type. - [Vosk](https://plain-ayi.com/repo/vosk): Turns speech into text offline, in more than 20 languages, even on small devices like phones. - [PaddleSpeech](https://plain-ayi.com/repo/paddlespeech): A toolkit that turns speech into text, text into speech, and translates spoken English into Chinese. - [edge-tts](https://plain-ayi.com/repo/edge-tts): Turns text into spoken audio files using the voices from Microsoft Edge's read-aloud feature. - [FluidVoice](https://plain-ayi.com/repo/fluidvoice): A Mac dictation app that turns your speech into text in any app, working on your computer. - [ChatTTS](https://plain-ayi.com/repo/chattts): Turns text into natural, chatty-sounding speech in English and Chinese, with laughs and pauses. - [MLX-Audio](https://plain-ayi.com/repo/mlx-audio): A code library for speech, transcription and music AI that runs fast on Apple Silicon Macs. - [Dograh](https://plain-ayi.com/repo/dograh): Build AI voice agents that answer and make phone calls, using a visual drag-and-drop workflow builder. - [Vibe](https://plain-ayi.com/repo/vibe): A desktop app that turns speech in audio and video into text, on your own device. - [Speech To Speech](https://plain-ayi.com/repo/speech-to-speech): A voice assistant you talk to out loud, built from open models that run on your own computer. - [YuE2](https://plain-ayi.com/repo/yue): Turns your lyrics and a style description into a full song with vocals and backing music. - [Pedalboard](https://plain-ayi.com/repo/pedalboard): Spotify's Python library for reading, writing and adding studio effects to audio files. - [SenseVoice](https://plain-ayi.com/repo/sensevoice): A speech model that writes out what was said and also detects the language, emotion and sounds like laughter. - [Argmax Open-Source SDK (WhisperKit, TTSKit, SpeakerKit)](https://plain-ayi.com/repo/argmax-oss-swift): Code kits that let iPhone and Mac apps transcribe speech, speak text aloud and tell speakers apart, on the device. - [WeNet](https://plain-ayi.com/repo/wenet): A speech recognition toolkit that turns recorded speech into text, built for real-world products. - [VoxCPM](https://plain-ayi.com/repo/voxcpm): An open text-to-speech model that reads text aloud in 30 languages and can design or copy voices. - [Kokoro-FastAPI](https://plain-ayi.com/repo/kokoro-fastapi): Runs the Kokoro text-to-speech voice model as your own service, with an optional web page. - [CosyVoice](https://plain-ayi.com/repo/cosyvoice): Reads text aloud in natural-sounding speech in many languages, and can copy a voice from a short sample. - [RTranslator](https://plain-ayi.com/repo/rtranslator): A free Android app that translates spoken conversations in real time, working offline on your phone. - [SpeechRecognition](https://plain-ayi.com/repo/speechrecognition): A Python library that turns speech into text using many different engines, online or offline. - [WhisperLiveKit](https://plain-ayi.com/repo/whisperlivekit): Live speech-to-text you run yourself, with speaker labels and translation as people talk. - [Meetily](https://plain-ayi.com/repo/meetily): A meeting assistant that transcribes and summarises your meetings entirely on your own computer. - [pyAudioAnalysis](https://plain-ayi.com/repo/pyaudioanalysis): A Python library for analysing sound: classifying audio, finding events and telling speakers apart. - [SmartSub](https://plain-ayi.com/repo/smartsub): A free desktop app that makes, translates and voices subtitles for your videos. - [annyang](https://plain-ayi.com/repo/annyang): A tiny JavaScript library that lets website visitors control a site with spoken commands. - [Dia](https://plain-ayi.com/repo/dia): Turns a written script into realistic spoken dialogue between two voices, including laughs and other sounds. - [VideoCaptioner](https://plain-ayi.com/repo/videocaptioner): Creates, fixes, translates and adds subtitles to videos, using speech recognition and AI language models. - [EmotiVoice](https://plain-ayi.com/repo/emotivoice): Turns written text into speech in English or Chinese, with many voices and emotions like happy or sad. - [Spleeter](https://plain-ayi.com/repo/spleeter): Splits a song into separate tracks, such as vocals, drums, bass and piano. - [Real-Time Voice Cloning](https://plain-ayi.com/repo/real-time-voice-cloning): A research project that turns typed text into speech in a voice learned from a few seconds of audio. - [Abogen](https://plain-ayi.com/repo/abogen): Turns e-books, PDFs and text files into audiobooks with matching subtitles. - [Silero Models](https://plain-ayi.com/repo/silero-models): Ready-made text-to-speech voices in many languages that are simple to use and run on ordinary computers. - [Amphion](https://plain-ayi.com/repo/amphion): A research toolkit for making speech, singing, music and sound with AI. - [Voice-Pro](https://plain-ayi.com/repo/voice-pro): A web app for transcribing, translating and dubbing audio and video, including copying voices from short samples. - [Whisper Diarization](https://plain-ayi.com/repo/whisper-diarization): Transcribes a recording and labels who said each line. - [Basic Pitch](https://plain-ayi.com/repo/basic-pitch): Turns a music recording into MIDI notes, working with almost any instrument, even several at once. - [ASRT](https://plain-ayi.com/repo/asrt-speechrecognition): A speech recognition system that turns spoken Chinese into text. - [Podcastfy](https://plain-ayi.com/repo/podcastfy): Turns websites, PDFs, videos and images into podcast-style audio conversations, in many languages. - [Orpheus TTS](https://plain-ayi.com/repo/orpheus-tts): An open text-to-speech model that aims to sound human, with emotion control and voice cloning. - [ACE-Step UI](https://plain-ayi.com/repo/ace-step-ui): A music-player-style app for making AI songs on your own computer with the ACE-Step model. ## 3D & design Create 3D models, scenes and designs with AI, from 3D printing parts to floor plans. - [OpenDesign](https://plain-ayi.com/repo/opendesign): A shared workspace where you and AI create prototypes, slides, images and motion graphics, then refine them with your team. - [Open3D](https://plain-ayi.com/repo/open3d): A code library for working with 3D data such as point clouds, meshes and scanned scenes. - [MCP for Blender](https://plain-ayi.com/repo/mcp-for-blender): Lets you build and change 3D scenes in Blender by describing what you want to an AI assistant. - [Pascal Editor](https://plain-ayi.com/repo/pascal-editor): A 3D building and floor-plan editor that runs in your browser and can be controlled by AI agents. - [Meshroom](https://plain-ayi.com/repo/meshroom): A desktop app that turns a set of ordinary photos into a 3D model, using connected processing steps. - [text-to-cad](https://plain-ayi.com/repo/text-to-cad): Lets an AI assistant design 3D parts from a description, ready for 3D printing or manufacturing. - [img2threejs](https://plain-ayi.com/repo/img2threejs): Has an AI agent rebuild an object from a single photo as a 3D model made entirely of code. - [OpenPencil](https://plain-ayi.com/repo/openpencil): An open-source design app, like Figma, where you can describe a design in chat and AI builds it. - [Kaolin](https://plain-ayi.com/repo/kaolin): NVIDIA's PyTorch toolkit of building blocks for AI research on 3D shapes, scenes and physics. - [Instant Neural Graphics Primitives](https://plain-ayi.com/repo/instant-ngp): Turns a set of photos into a 3D scene you can fly around, in seconds, using NVIDIA graphics cards. - [OpenPencil](https://plain-ayi.com/repo/openpencil-zseven-w): An AI design tool that turns written descriptions into app and website screen designs, then into code. - [Hunyuan3D 2.0](https://plain-ayi.com/repo/hunyuan3d-2): AI models from Tencent that create detailed, textured 3D objects from a picture or a description. - [CADAM](https://plain-ayi.com/repo/cadam): Describe a part or object in plain English and get an adjustable 3D model you can export and 3D-print. - [Dream Textures](https://plain-ayi.com/repo/dream-textures): Adds Stable Diffusion image generation to Blender for textures, concept art and scenes. ## AI models & research The AI models themselves, published openly by research labs and companies, plus the research behind them. - [YOLOv5](https://plain-ayi.com/repo/yolov5): An AI model that spots and labels objects, such as people, cars or animals, in photos and video. - [UniLM](https://plain-ayi.com/repo/unilm): Microsoft research code and models for large AI systems that handle text, images, speech and documents. - [Gorilla](https://plain-ayi.com/repo/gorilla): Research on teaching AI models to use software tools correctly, including a well-known scoreboard for comparing models. - [FinGPT](https://plain-ayi.com/repo/fingpt): Open research models and tools that adapt language AI to financial news, data and analysis. - [Flash Linear Attention](https://plain-ayi.com/repo/flash-linear-attention): Fast, ready-to-use building blocks for new kinds of AI model architectures. - [vit-pytorch](https://plain-ayi.com/repo/vit-pytorch): Code versions of the Vision Transformer and many related image-recognition AI designs, for researchers to experiment with. - [MMF](https://plain-ayi.com/repo/mmf): Facebook AI Research's framework for research on AI that understands images and text together. - [RF-DETR](https://plain-ayi.com/repo/rf-detr): A fast AI model that spots and outlines objects in images and video in real time. - [OpenCompass](https://plain-ayi.com/repo/opencompass): A platform for testing and comparing AI language models across many skills and datasets. - [RWKV](https://plain-ayi.com/repo/rwkv): An open AI language model design that aims to match transformer models while using less memory and computing power. - [TabPFN](https://plain-ayi.com/repo/tabpfn): A ready-trained AI model that makes predictions from spreadsheet-style data without lengthy training. - [Needle](https://plain-ayi.com/repo/needle): A very small AI model that lets phones, gadgets and smart-home devices understand requests and take actions. - [CLIP](https://plain-ayi.com/repo/clip): An AI model from OpenAI that connects pictures with words, so it can tell which description fits an image. - [Netron](https://plain-ayi.com/repo/netron): Opens AI model files and shows their inner structure as a diagram you can explore. - [GLM-5](https://plain-ayi.com/repo/glm-5): A family of large open AI models from Z.ai, built for coding and long, multi-step tasks. - [ERNIE 4.5 and ERNIEKit](https://plain-ayi.com/repo/ernie): Baidu's openly published ERNIE 4.5 family of AI models, plus a toolkit to train and adapt them. - [Chronos](https://plain-ayi.com/repo/chronos): Ready-trained AI models that predict future values in time-based data, such as sales or demand. - [Denoising Diffusion Probabilistic Model, in Pytorch](https://plain-ayi.com/repo/denoising-diffusion-pytorch): Code that recreates diffusion models, the method behind many AI image generators, so you can train your own. - [ReLE Chinese LLM Benchmark](https://plain-ayi.com/repo/chinese-llm-benchmark): Ongoing rankings of how well hundreds of AI models perform in Chinese across many subjects. - [Time Series Library (TSLib)](https://plain-ayi.com/repo/time-series-library): A research code base of deep learning models for analysing time-based data. - [Tongyi DeepResearch](https://plain-ayi.com/repo/tongyi-deepresearch): An open AI model from Alibaba's Tongyi Lab built to search the web deeply and research hard questions. - [MOSS](https://plain-ayi.com/repo/moss): An open chat AI model from Fudan University that speaks Chinese and English and can use tools. - [OASIS](https://plain-ayi.com/repo/oasis): Simulates social media with up to a million AI agents to study how information and opinions spread. - [CleanRL](https://plain-ayi.com/repo/cleanrl): Simple, readable one-file versions of key reinforcement learning methods, made for study and research. - [Chinese LLaMA & Alpaca](https://plain-ayi.com/repo/chinese-llama-alpaca): AI language models adapted from LLaMA to understand and follow instructions in Chinese. - [InternLM](https://plain-ayi.com/repo/internlm): A family of openly released AI language models that chat, reason and handle Chinese and English. - [Hierarchical Reasoning Model](https://plain-ayi.com/repo/hrm): A research AI model for reasoning puzzles such as Sudoku and mazes, inspired by how the brain plans. - [Mobile-Agent](https://plain-ayi.com/repo/mobile-agent): Research AI agents and models from Alibaba's Tongyi Lab that can operate phones and computers by looking at the screen. - [VAR (Visual Autoregressive Modeling)](https://plain-ayi.com/repo/var): A research method and models that create images by drawing them coarse to fine, one level of detail at a time. - [Dopamine](https://plain-ayi.com/repo/dopamine): A small research toolkit for trying out ideas in reinforcement learning, where AI learns by trial and error. - [ChatRWKV](https://plain-ayi.com/repo/chatrwkv): A ChatGPT-like chatbot powered by RWKV, an open language model built in a different way from most. - [LLM4Decompile](https://plain-ayi.com/repo/llm4decompile): Research AI models that turn compiled programs back into readable source code. - [Chinese-LLaMA-Alpaca-2](https://plain-ayi.com/repo/chinese-llama-alpaca-2): Versions of Meta's Llama 2 AI model adapted to understand and write Chinese much better. - [BertViz](https://plain-ayi.com/repo/bertviz): An interactive tool that shows which words an AI language model pays attention to. - [VLM-R1](https://plain-ayi.com/repo/vlm-r1): Research models and training code that teach image-understanding AI to reason, using reinforcement learning. - [Chinese-CLIP](https://plain-ayi.com/repo/chinese-clip): A Chinese-language version of the CLIP model, which matches pictures with text descriptions. - [CodeGen](https://plain-ayi.com/repo/codegen): A family of open AI models from Salesforce research that write computer code from descriptions. - [BenTsao (formerly HuaTuo)](https://plain-ayi.com/repo/bentsao): Research AI models trained to answer medical questions in Chinese. ## Training & fine-tuning Teach AI models new skills or adapt them to your own data. - [LlamaFactory](https://plain-ayi.com/repo/llamafactory): Customise more than 100 open AI models on your own data, using a web interface or simple commands. - [DeepSpeed](https://plain-ayi.com/repo/deepspeed): Software that helps train and run very large AI models faster across many computer chips. - [PyTorch Lightning](https://plain-ayi.com/repo/pytorch-lightning): Takes care of the repetitive engineering when training AI models, from one computer to many GPUs. - [Unsloth](https://plain-ayi.com/repo/unsloth): A desktop app for running AI models on your own computer and training them on your own data. - [Colossal-AI](https://plain-ayi.com/repo/colossal-ai): Software for training and running very large AI models across many graphics cards at lower cost. - [PEFT](https://plain-ayi.com/repo/peft): A code library for teaching big AI models new skills cheaply by training only a small add-on part. - [Optuna](https://plain-ayi.com/repo/optuna): Automatically finds the best settings for a machine learning model by trying many options smartly. - [CVAT](https://plain-ayi.com/repo/cvat): A tool for labelling images, video, audio and 3D data so it can be used to train AI. - [Weights & Biases](https://plain-ayi.com/repo/wandb): Keeps a record of your AI training experiments so you can track, compare and share results. - [ms-swift](https://plain-ayi.com/repo/ms-swift): A toolkit for training, adapting and deploying hundreds of open AI models, including ones that see images. - [DVC](https://plain-ayi.com/repo/dvc): Keeps track of versions of the data, models and experiments behind a machine-learning project. - [Axolotl](https://plain-ayi.com/repo/axolotl): Free, open-source software for fine-tuning AI language models on your own data. - [Megatron-LM](https://plain-ayi.com/repo/megatron-lm): NVIDIA's software for training very large AI language models across many graphics cards at once. - [Stable Baselines3](https://plain-ayi.com/repo/stable-baselines3): Tested, ready-made code for teaching AI programs to learn by trial and error. - [Label Studio](https://plain-ayi.com/repo/label-studio): A tool for tagging images, text, audio and video so the data can be used to train AI models. - [Agent Lightning](https://plain-ayi.com/repo/agent-lightning): A Microsoft framework for training AI agents to get better at tasks through trial and reward. - [Flower](https://plain-ayi.com/repo/flower): A framework for training AI models across many devices without collecting everyone's data in one place. - [MiniMind](https://plain-ayi.com/repo/minimind): Train a tiny ChatGPT-style language model from scratch on a single home graphics card. - [OpenRLHF](https://plain-ayi.com/repo/openrlhf): A framework for training large language models with feedback so they give better answers. - [GPT-NeoX](https://plain-ayi.com/repo/gpt-neox): EleutherAI's software for training very large language models from scratch across many graphics cards. - [PaddleNLP](https://plain-ayi.com/repo/paddlenlp): A toolkit for training, shrinking and running large language models on the PaddlePaddle deep learning framework. - [X-AnyLabeling](https://plain-ayi.com/repo/x-anylabeling): A desktop app for labelling images, videos, text and 3D scans, with AI that suggests labels for you. - [Liger Kernel](https://plain-ayi.com/repo/liger-kernel): Speed-ups from LinkedIn that make training large AI models faster and lighter on memory. - [FiftyOne](https://plain-ayi.com/repo/fiftyone): A tool for viewing, cleaning and improving image and video datasets used to train vision AI. - [AReaL](https://plain-ayi.com/repo/areal): A system for training AI reasoning and agent models with reinforcement learning. - [Oumi](https://plain-ayi.com/repo/oumi): An all-in-one open platform to prepare data, train, test and deploy AI language models. - [LitGPT](https://plain-ayi.com/repo/litgpt): A code library for loading, fine-tuning and serving more than 20 open AI language models. - [Ludwig](https://plain-ayi.com/repo/ludwig): Train or fine-tune AI models by filling in a short settings file instead of writing lots of code. - [WeClone](https://plain-ayi.com/repo/weclone): Trains an AI model on your own chat history so a chatbot can reply in your style. - [rLLM](https://plain-ayi.com/repo/rllm): A framework for training AI agents to get better at tasks through trial and reward. - [Labelme](https://plain-ayi.com/repo/labelme): A drawing tool for marking objects in images and videos to create training data for AI. - [bitsandbytes](https://plain-ayi.com/repo/bitsandbytes): A Python library that shrinks AI models' memory needs so they can run and be trained on smaller hardware. - [Soup](https://plain-ayi.com/repo/soup): Fine-tune AI language models from one settings file and one command, even on modest graphics cards. - [XTuner](https://plain-ayi.com/repo/xtuner): A training engine for very large AI models built from many expert parts, aimed at big computing clusters. - [Train LLM From Scratch](https://plain-ayi.com/repo/train-llm-from-scratch): A step-by-step guide and code for training your own small AI language model, from raw text to chat. - [The Alignment Handbook](https://plain-ayi.com/repo/alignment-handbook): Hugging Face's recipes for teaching AI language models to follow instructions and match people's preferences. - [MiniMind-V](https://plain-ayi.com/repo/minimind-v): A tiny AI model that can look at pictures and chat, with all the code to train it yourself cheaply. - [H2O LLM Studio](https://plain-ayi.com/repo/h2o-llmstudio): A point-and-click app for fine-tuning AI language models on your own data, without writing code. - [SD-Trainer (LoRA-scripts)](https://plain-ayi.com/repo/lora-scripts): A point-and-click app for training Stable Diffusion image models on your own pictures. - [Argilla](https://plain-ayi.com/repo/argilla): A collaborative tool for labelling data and collecting human feedback to build better AI training datasets. - [Transformer Lab](https://plain-ayi.com/repo/transformer-lab): One app for downloading, chatting with, fine-tuning and testing AI models on your own hardware. - [Data-Juicer](https://plain-ayi.com/repo/data-juicer): A toolkit for cleaning and preparing data to train and improve AI models. - [mergekit](https://plain-ayi.com/repo/mergekit): Combines several AI language models into one, without extra training. - [Reef](https://plain-ayi.com/repo/reef): Infrastructure that lets AI agents keep improving from how you interact with them. - [OneFlow](https://plain-ayi.com/repo/oneflow): A deep learning framework, similar to PyTorch, for building and training AI models across many machines. - [Easy Dataset](https://plain-ayi.com/repo/easy-dataset): Turns your documents into question-and-answer data for training and testing AI models. - [tensorboardX](https://plain-ayi.com/repo/tensorboardx): Lets programmers log charts, images and sounds from AI training so they can watch progress in TensorBoard. - [AutoKeras](https://plain-ayi.com/repo/autokeras): A library that builds and trains deep-learning models for you with just a few lines of code. - [EasyR1](https://plain-ayi.com/repo/easyr1): A framework for training language and vision-language AI models to reason better with reinforcement learning. - [doccano](https://plain-ayi.com/repo/doccano): A web tool where people label text together to create training data for AI models. - [PaLM + RLHF (PyTorch)](https://plain-ayi.com/repo/palm-rlhf-pytorch): Example code showing how ChatGPT-style training with human feedback works. - [LMFlow](https://plain-ayi.com/repo/lmflow): A toolkit for fine-tuning large AI language models on your own data and then running them. - [Higgsfield](https://plain-ayi.com/repo/higgsfield): Software for training very large AI models across many GPU servers without constant manual setup. - [Composer](https://plain-ayi.com/repo/composer): A PyTorch-based library from MosaicML for training AI models efficiently across many graphics cards. - [MedicalGPT](https://plain-ayi.com/repo/medicalgpt): Code for training your own medical AI chat model, following the same steps used to train ChatGPT. - [Lightning-Hydra-Template](https://plain-ayi.com/repo/lightning-hydra-template): A ready-made project layout for starting deep-learning experiments with less setup work. - [Deepo](https://plain-ayi.com/repo/deepo): Ready-made and custom Docker setups that get a deep-learning environment running quickly. ## Data science tools Tools for analysing data and making predictions from tables of numbers, used by data scientists and analysts. - [scikit-learn](https://plain-ayi.com/repo/scikit-learn): A widely used Python toolkit for teaching computers to spot patterns and make predictions from data. - [XGBoost](https://plain-ayi.com/repo/xgboost): A fast, widely used tool for making predictions from tables of data. - [SHAP](https://plain-ayi.com/repo/shap): Explains why an AI model made a particular prediction by showing how much each input pushed the result. - [CatBoost](https://plain-ayi.com/repo/catboost): A machine learning library for making predictions and rankings from table-style data. - [Cube Core](https://plain-ayi.com/repo/cube): Defines a company's business numbers once, so reports, apps and AI agents all use the same figures. - [LightGBM](https://plain-ayi.com/repo/lightgbm): A fast machine-learning tool for making predictions from tables of data, popular in data competitions. - [marimo](https://plain-ayi.com/repo/marimo): A Python notebook for data work that keeps results up to date automatically and has AI help built in. - [Chat2DB](https://plain-ayi.com/repo/chat2db): A free desktop app for working with databases, with an AI helper that writes and explains database queries. - [Vowpal Wabbit](https://plain-ayi.com/repo/vowpal-wabbit): A fast machine learning system that can learn from huge amounts of data without loading it all at once. - [Kedro](https://plain-ayi.com/repo/kedro): A Python toolbox that helps data teams build tidy, repeatable data and machine-learning pipelines. - [mlpack](https://plain-ayi.com/repo/mlpack): A fast C++ machine learning library, also usable from Python, R, Julia, Go and the command line. - [PyOD](https://plain-ayi.com/repo/pyod): A Python toolkit for spotting unusual data points, such as possible fraud or faulty readings. - [NVIDIA cuML](https://plain-ayi.com/repo/cuml): Speeds up common machine-learning tasks by running them on NVIDIA graphics cards. - [R&D-Agent](https://plain-ayi.com/repo/rd-agent): An AI agent that automates data science and machine-learning research: forming ideas, coding and testing them. - [H2O](https://plain-ayi.com/repo/h2o-3): An open-source platform for building machine-learning models on large amounts of data. - [mlxtend](https://plain-ayi.com/repo/mlxtend): A Python library of handy extra tools for everyday machine-learning and data science work. - [PyCaret](https://plain-ayi.com/repo/pycaret): A self-hosted platform for building prediction models from your data with point-and-click screens. - [AutoGluon](https://plain-ayi.com/repo/autogluon): Builds accurate prediction models from your spreadsheet-style or time-based data with just a few lines of code. - [SMILE](https://plain-ayi.com/repo/smile): A broad machine learning toolkit for Java, Scala and Kotlin programs. - [DoWhy](https://plain-ayi.com/repo/dowhy): A Python library for working out cause and effect in data, not just patterns. - [imbalanced-learn](https://plain-ayi.com/repo/imbalanced-learn): A Python library that helps machine learning models cope when one kind of example is much rarer than others. - [Orange](https://plain-ayi.com/repo/orange): A visual app for exploring data and building machine-learning models by connecting blocks, without coding. - [JimuReport](https://plain-ayi.com/repo/jimureport): A reporting and dashboard tool where you can describe the report you want and AI builds it. - [Featuretools](https://plain-ayi.com/repo/featuretools): Automatically creates useful data columns for machine-learning models from linked tables. - [AI Data Science Team](https://plain-ayi.com/repo/ai-data-science-team): AI agents that help with common data science work, plus an app for building visual data pipelines. ## AI testing & safety Check that AI apps give good answers, follow safety rules and resist trick instructions. - [Promptfoo](https://plain-ayi.com/repo/promptfoo): Tests AI apps and chatbots to check their answers are good and that they can't be easily tricked. - [Adversarial Robustness Toolbox (ART)](https://plain-ayi.com/repo/adversarial-robustness-toolbox): A Python toolkit for testing how AI models hold up against attacks, and for defending them. - [NeMo Guardrails](https://plain-ayi.com/repo/nemo-guardrails): NVIDIA's toolkit for adding safety rules that keep AI chatbots on topic and guard against misuse. - [A.I.G (AI-Infra-Guard)](https://plain-ayi.com/repo/ai-infra-guard): A security testing platform that scans AI agents, tools and servers for weaknesses. - [garak](https://plain-ayi.com/repo/garak): A scanner from NVIDIA that tests AI chatbots for weaknesses like jailbreaks, data leaks and harmful output. - [Guardrails](https://plain-ayi.com/repo/guardrails): A Python library that checks what goes into and comes out of AI models to catch problems and risks. - [Giskard](https://plain-ayi.com/repo/giskard): A Python library for testing AI agents and chatbots for quality, safety and weak spots. - [Failproof AI](https://plain-ayi.com/repo/failproofai): Watches what AI agents do on your computer and blocks risky actions before they happen. - [Superagent SDK](https://plain-ayi.com/repo/superagent): Helps developers protect AI apps from trick instructions, data leaks and harmful outputs. ## Finance & trading AI for researching markets, companies and investment ideas. Research tools only, not financial advice. - [Daily Stock Analysis](https://plain-ayi.com/repo/daily-stock-analysis): Uses AI to write a daily report on stocks you follow and sends it to your chat app or email. - [Qlib](https://plain-ayi.com/repo/qlib): A research platform from Microsoft for using AI to study and test stock-investment strategies. - [Vibe-Trading](https://plain-ayi.com/repo/vibe-trading): An AI agent that helps research markets and test trading strategies on past data. - [Fincept Terminal](https://plain-ayi.com/repo/fincept-terminal): A desktop app for researching markets and economies, with built-in AI research assistants. - [TradingAgents](https://plain-ayi.com/repo/tradingagents): A research tool where a team of AI agents debates the stock market, like the staff of a trading firm. - [Machine Learning for Trading](https://plain-ayi.com/repo/machine-learning-for-trading): The companion code for a book on using machine learning to design and test trading strategies. - [a-stock-data](https://plain-ayi.com/repo/a-stock-data): Gives AI coding assistants ready access to Chinese stock market data, news and company filings. - [Awesome AI in Finance](https://plain-ayi.com/repo/awesome-ai-in-finance): A curated list of AI tools, research and code for analysing and trading in financial markets. - [TSP (Tick Stock Panel)](https://plain-ayi.com/repo/tick-stock-panel): A self-hosted workspace for building, testing and monitoring stock strategies for China's A-share market, with an AI assistant. - [TradingView MCP](https://plain-ayi.com/repo/tradingview-mcp): Gives AI assistants market data and chart analysis tools for stocks, crypto and currencies. - [FinRobot](https://plain-ayi.com/repo/finrobot): An open platform of AI agents for financial research, such as analysing companies and writing reports. - [Qbot](https://plain-ayi.com/repo/qbot): A self-hosted platform for researching, testing and automating stock and fund trading strategies with AI. - [AutoHedge](https://plain-ayi.com/repo/autohedge): A team of AI agents that analyses markets and places trades automatically. ## Robotics & simulation Simulators and tools for building robots, drones and self-driving cars. - [Unity ML-Agents Toolkit](https://plain-ayi.com/repo/ml-agents): Turns Unity games and 3D simulations into practice worlds where AI characters learn by trial and error. - [CARLA](https://plain-ayi.com/repo/carla): A free driving simulator that researchers use to develop and test self-driving car software safely. - [AirSim](https://plain-ayi.com/repo/airsim): A realistic 3D simulator for testing self-flying drones and self-driving cars before trying them in the real world. - [Rerun](https://plain-ayi.com/repo/rerun): Records, replays and shows robot and camera data side by side, in sync, for people building physical AI. ## Smart home & gadgets AI for your home and small devices: security cameras, sensors, home control and DIY gadgets. - [Frigate](https://plain-ayi.com/repo/frigate): Records your home security cameras and uses AI on your own hardware to spot people, cars and other objects. - [XiaoZhi AI Chatbot](https://plain-ayi.com/repo/xiaozhi-esp32): Build a small talking AI gadget that you chat with by voice, using a cheap ESP32 circuit board. - [RuView](https://plain-ayi.com/repo/ruview): Uses ordinary WiFi signals and cheap sensors to detect people, movement and breathing in a room, without cameras. - [Home Assistant MCP Server](https://plain-ayi.com/repo/ha-mcp): Lets AI assistants control your Home Assistant smart home using plain language. - [MimiClaw](https://plain-ayi.com/repo/mimiclaw): Turns a tiny, cheap ESP32 circuit board into a personal AI assistant you message through Telegram. ## Running AI at scale Behind-the-scenes software for serving AI to many people, storing AI data and monitoring how it performs. - [Apache Airflow](https://plain-ayi.com/repo/apache-airflow): Schedules and monitors chains of automated tasks, such as data processing and AI model training jobs. - [LiteLLM](https://plain-ayi.com/repo/litellm): Lets programs talk to over 100 AI model providers in one common way, with cost tracking built in. - [OmniRoute](https://plain-ayi.com/repo/omniroute): One doorway to hundreds of AI providers, which can make the most of their free allowances. - [vLLM](https://plain-ayi.com/repo/vllm): Serves AI models to many users at once, quickly and at lower cost. - [SGLang](https://plain-ayi.com/repo/sglang): Software that serves large AI models quickly to many users, on a wide range of hardware. - [Ray](https://plain-ayi.com/repo/ray): Spreads heavy AI and Python work across many computers, from a laptop up to a large cluster. - [MLflow](https://plain-ayi.com/repo/mlflow): A platform for building, testing, monitoring and managing AI apps and machine learning models. - [Kong Gateway](https://plain-ayi.com/repo/kong): A central gateway that routes, secures and monitors traffic to an organisation's APIs and AI models. - [Milvus](https://plain-ayi.com/repo/milvus): A database built to store and search huge amounts of AI data, such as text and images, by meaning. - [New API](https://plain-ayi.com/repo/new-api): A self-hosted gateway that puts many AI model services behind one address, with usage and cost tracking. - [ONNX Runtime](https://plain-ayi.com/repo/onnx-runtime): Makes trained AI models run faster on many kinds of computers and chips. - [Modular Platform (MAX and Mojo)](https://plain-ayi.com/repo/modular): Open-source parts of Modular's platform: the Mojo programming language and the MAX engine for running AI models. - [Apache Doris](https://plain-ayi.com/repo/apache-doris): A fast database for analysing large amounts of data, with search features for AI apps and agents. - [Dapr](https://plain-ayi.com/repo/dapr): Behind-the-scenes software that keeps multi-step apps and AI agents running reliably, even when servers crash. - [Langfuse](https://plain-ayi.com/repo/langfuse): Helps teams track, test and improve their AI apps by recording what the AI did and how well it did. - [Qdrant](https://plain-ayi.com/repo/qdrant): A database for AI 'embeddings' that lets apps search by meaning, find similar images or make recommendations. - [Chroma](https://plain-ayi.com/repo/chroma): A database that lets AI apps store information and search it by meaning, not just exact words. - [1Panel](https://plain-ayi.com/repo/1panel): A web control panel for managing a Linux server, its websites and apps, and the AI agents on it. - [Kubeflow](https://plain-ayi.com/repo/kubeflow): A collection of open-source tools for building, training and running AI at scale on cloud servers. - [OpenVINO](https://plain-ayi.com/repo/openvino): A toolkit that makes AI models run faster and lighter on ordinary processors and Intel chips. - [Weaviate](https://plain-ayi.com/repo/weaviate): A database that finds information by meaning, not just keywords, used to power AI search and chatbots. - [Opik](https://plain-ayi.com/repo/opik): Track, test and monitor AI apps and agents so teams can see what they're doing and catch mistakes. - [vLLM-Omni](https://plain-ayi.com/repo/vllm-omni): Serves AI models that handle text, images, audio and video quickly to many users. - [LanceDB](https://plain-ayi.com/repo/lancedb): A database for storing and searching the data AI apps use, including text, images and video. - [SkyPilot](https://plain-ayi.com/repo/skypilot): One tool for running AI training and serving jobs across many clouds and your own GPU clusters. - [WasmEdge](https://plain-ayi.com/repo/wasmedge): A small, fast engine for running sandboxed programs, which can also run open AI models on your devices. - [Volcano](https://plain-ayi.com/repo/volcano): A Kubernetes scheduler for running large AI training, big data and computing jobs efficiently. - [Databend](https://plain-ayi.com/repo/databend): A data warehouse for large-scale analysis that also supports AI search and running AI agents on company data. - [Lance](https://plain-ayi.com/repo/lance): A data storage format built for AI, holding text, images, video and search data in one place. - [Mooncake](https://plain-ayi.com/repo/mooncake): The serving system behind the Kimi chatbot, built to handle many AI requests by sharing cached work. - [KServe](https://plain-ayi.com/repo/kserve): A platform for serving AI models to many users on Kubernetes. - [Triton Inference Server](https://plain-ayi.com/repo/triton-inference-server): NVIDIA's server software for running trained AI models quickly for many users at once. - [Bifrost](https://plain-ayi.com/repo/bifrost): A gateway that puts many AI providers behind one connection, with backups if one fails. - [OpenSandbox](https://plain-ayi.com/repo/opensandbox): Gives AI agents safe, walled-off computers to run code, use files and browse, on your own servers. - [Cube Sandbox](https://plain-ayi.com/repo/cubesandbox): Gives AI agents fast, sealed-off mini computers where they can safely run code. - [Arize Phoenix](https://plain-ayi.com/repo/phoenix): A dashboard for watching, testing and debugging AI apps so teams can see what their AI is doing. - [Tyk Gateway](https://plain-ayi.com/repo/tyk): A gateway that controls and protects traffic to APIs and AI services, including AI agent tool connections. - [vLLM Semantic Router](https://plain-ayi.com/repo/vllm-semantic-router): Automatically picks which AI model should handle each request, based on rules you set for quality, speed and cost. - [Vespa](https://plain-ayi.com/repo/vespa): A platform for large-scale AI search and recommendations over text, vectors and structured data. - [ParadeDB](https://plain-ayi.com/repo/paradedb): Adds fast keyword search, meaning-based search and analytics to the Postgres database. - [TensorFlow Serving](https://plain-ayi.com/repo/tensorflow-serving): Software for running trained AI models on servers so apps can send them requests. - [Agentgateway](https://plain-ayi.com/repo/agentgateway): A traffic controller that adds security, monitoring and rules to how AI agents talk to models, tools and each other. - [One API](https://plain-ayi.com/repo/one-api): One gateway for reaching many AI providers, such as OpenAI, Claude and Gemini, in a single standard way. - [LMCache](https://plain-ayi.com/repo/lmcache): Helps servers that run AI chat models answer faster and more cheaply by reusing work they've already done. - [Feast](https://plain-ayi.com/repo/feast): A feature store that keeps the data machine-learning models use consistent between training and live use. - [Daft](https://plain-ayi.com/repo/daft): A fast data engine for processing images, audio, video and tables for AI, from a laptop up to big clusters. - [OpenLLMetry](https://plain-ayi.com/repo/openllmetry): Lets developers see what their AI app is doing behind the scenes, using standard monitoring tools. - [Cog](https://plain-ayi.com/repo/cog): Packages AI models into ready-to-run containers so they're easier to put online. - [Metaflow](https://plain-ayi.com/repo/metaflow): A framework for building, running and deploying AI and machine learning systems. - [Flyte](https://plain-ayi.com/repo/flyte): Runs machine-learning pipelines, AI models and agents reliably across many computers, written in Python. - [Gorse](https://plain-ayi.com/repo/gorse): A recommendation engine that learns from user activity to suggest items each person may like. - [AxonHub](https://plain-ayi.com/repo/axonhub): An AI gateway that lets apps switch between AI model providers without changing their code. - [NCCL](https://plain-ayi.com/repo/nccl): NVIDIA's library that lets many graphics cards share data quickly, used when training large AI models. - [Ragas](https://plain-ayi.com/repo/ragas): Measures how well an AI app is answering, using clear scores instead of guesswork. - [Evidently](https://plain-ayi.com/repo/evidently): Tests and monitors AI and machine-learning systems to check they keep working well. - [SynapseML](https://plain-ayi.com/repo/synapseml): A Microsoft library for building machine-learning pipelines that run across large computer clusters. - [ClearML](https://plain-ayi.com/repo/clearml): A suite of tools for tracking AI experiments, managing data, and running and serving models. - [BentoML](https://plain-ayi.com/repo/bentoml): A Python library for turning AI models into online services that apps can call. - [Helicone](https://plain-ayi.com/repo/helicone): Tracks every request an app sends to AI models, showing cost, speed and quality, and routes between providers. - [TensorRT](https://plain-ayi.com/repo/tensorrt): NVIDIA's toolkit for making trained AI models run faster on NVIDIA graphics cards. - [Microsandbox](https://plain-ayi.com/repo/microsandbox): Runs AI agents and untrusted code inside tiny, sealed-off virtual computers on your machine. - [Angel](https://plain-ayi.com/repo/angel): A system for training machine learning models on very large data across many computers. - [Nasiko](https://plain-ayi.com/repo/nasiko): Finds the AI coding agents a team runs, shows what each costs, and routes them to chosen models. - [Xorbits Inference (Xinference)](https://plain-ayi.com/repo/xinference): Server software that runs open AI models for text, speech and images behind one common doorway. - [Manifest LLM Gateway](https://plain-ayi.com/repo/manifest-llm-gateway): Routes your apps' AI requests through one doorway that picks a model, tracks cost and handles failures. - [smolvm](https://plain-ayi.com/repo/smolvm): Lightweight virtual machines for running AI agents and their code safely, separate from your main system. - [GPUStack](https://plain-ayi.com/repo/gpustack): Manages groups of graphics cards to run AI models for many users and hand out GPU machines on demand. - [LMDeploy](https://plain-ayi.com/repo/lmdeploy): A toolkit for compressing AI language models and serving them quickly on your own GPUs. - [ZenML](https://plain-ayi.com/repo/zenml): A platform for running and tracking machine learning and AI agent workflows reliably in companies. - [Plano](https://plain-ayi.com/repo/plano): Behind-the-scenes software that routes, watches and protects traffic between AI agents and models. - [Text Embeddings Inference](https://plain-ayi.com/repo/text-embeddings-inference): Serves text embedding models quickly, so apps can search and compare text by meaning. - [iFixAi](https://plain-ayi.com/repo/ifixai): Runs a quick audit to check whether an AI agent is doing the job it is supposed to do, safely. - [AI Gateway](https://plain-ayi.com/repo/portkey-ai-gateway): A single doorway that lets apps reach many AI models, with automatic retries, backups and safety checks. - [Coze Loop](https://plain-ayi.com/repo/coze-loop): A platform for developing, testing and monitoring AI agents and their prompts. - [HelixDB](https://plain-ayi.com/repo/helix-db): An open-source database that stores graphs, vectors and text search together. - [NVIDIA DALI](https://plain-ayi.com/repo/nvidia-dali): Speeds up AI training by loading and preparing images, video and audio on the graphics card. - [OpenLLM](https://plain-ayi.com/repo/openllm): Run open AI models on your own servers as a ready-to-use service that works like OpenAI's. - [Aim](https://plain-ayi.com/repo/aim): An open-source tool for tracking and comparing machine learning training runs. - [GPTCache](https://plain-ayi.com/repo/gptcache): Saves AI answers so repeated or similar questions don't need a new, paid request. - [Nano-vLLM](https://plain-ayi.com/repo/nano-vllm): A small, easy-to-read version of the vLLM engine that runs AI language models quickly. - [RagaAI Catalyst](https://plain-ayi.com/repo/ragaai-catalyst): Track, test and debug AI apps and agents, and see each step they took. - [AgentOps](https://plain-ayi.com/repo/agentops): Tracks what AI agents do, step by step, and how much they cost, so developers can debug them. ## Developer building blocks Code libraries programmers use to build AI into their own products. - [Transformers](https://plain-ayi.com/repo/transformers): The standard toolkit developers use to load and use open AI models. - [LangChain](https://plain-ayi.com/repo/langchain): A toolkit for building AI apps and agents that can use tools and your own data. - [PyTorch](https://plain-ayi.com/repo/pytorch): A popular toolkit researchers and programmers use to build and train AI models in Python. - [TensorFlow](https://plain-ayi.com/repo/tensorflow): A free toolkit programmers use to build, train and run machine-learning models. - [OpenCV](https://plain-ayi.com/repo/opencv): A widely used free code library that lets software see and understand images and video. - [LlamaIndex](https://plain-ayi.com/repo/llamaindex): A toolkit programmers use to build AI apps that read and answer questions about documents. - [Keras](https://plain-ayi.com/repo/keras): A popular code library for building and training AI models with less effort. - [AI SDK](https://plain-ayi.com/repo/ai-sdk): A free TypeScript library that lets programmers add AI chat, text and agents to their web apps. - [🤗 Datasets](https://plain-ayi.com/repo/hugging-face-datasets): Load and prepare thousands of public datasets for AI with a single line of code. - [PaddlePaddle](https://plain-ayi.com/repo/paddlepaddle): A full deep-learning toolkit from China for building, training and running AI models. - [LangGraph](https://plain-ayi.com/repo/langgraph): A programming toolkit for building AI agents that run for a long time, remember things and recover from errors. - [spaCy](https://plain-ayi.com/repo/spacy): A code library that helps programs understand text, such as finding names, places and topics. - [Diffusers](https://plain-ayi.com/repo/diffusers): A code library for generating images, video and audio with diffusion models such as Stable Diffusion. - [Streamlit](https://plain-ayi.com/repo/streamlit): Turns short Python scripts into interactive web apps, such as dashboards and AI chat apps. - [OpenAI Python library](https://plain-ayi.com/repo/openai-python): The official code library for using OpenAI's AI models from Python programs. - [Firecrawl](https://plain-ayi.com/repo/firecrawl): Turns websites into clean text and data that AI tools can read and use. - [Novu](https://plain-ayi.com/repo/novu): Lets apps and AI agents send and receive messages across email, text, push, Slack, Teams and more through one system. - [Mastra](https://plain-ayi.com/repo/mastra): A TypeScript toolkit for building AI apps and agents, from first prototype to finished product. - [Meilisearch](https://plain-ayi.com/repo/meilisearch): A search engine developers add to websites and apps for fast, typo-tolerant search, including AI-powered results. - [MCP Python SDK](https://plain-ayi.com/repo/mcp-python-sdk): The official Python toolkit for connecting AI apps to tools and data using the Model Context Protocol. - [Gradio](https://plain-ayi.com/repo/gradio): Lets programmers turn an AI model into a simple web app with a few lines of Python, and share a link. - [OpenAI Agents SDK](https://plain-ayi.com/repo/openai-agents-sdk): A Python toolkit from OpenAI for building AI agents that use tools and work together. - [Agent Development Kit (ADK)](https://plain-ayi.com/repo/adk-python): Google's Python toolkit for building, testing and deploying AI agents. - [PyG (PyTorch Geometric)](https://plain-ayi.com/repo/pytorch-geometric): A code library for AI that learns from networks of connected things, like social networks or molecules. - [Apache TVM](https://plain-ayi.com/repo/apache-tvm): A toolkit that turns trained AI models into compact programs that run efficiently on many kinds of hardware. - [ONNX](https://plain-ayi.com/repo/onnx): A shared file format for AI models, so a model built with one tool can run in many others. - [Pydantic AI](https://plain-ayi.com/repo/pydantic-ai): A Python toolkit for building dependable AI agents and features that work with almost any AI model. - [CopilotKit](https://plain-ayi.com/repo/copilotkit): Ready-made pieces for adding AI assistants and chat to web, mobile and team apps. - [ggml](https://plain-ayi.com/repo/ggml): A small, fast core library for running AI models efficiently on many kinds of computers. - [torchvision](https://plain-ayi.com/repo/torchvision): Ready-made image datasets, models and photo tools for building computer-vision AI with PyTorch. - [FastMCP](https://plain-ayi.com/repo/fastmcp): A Python toolkit for building the connectors that let AI assistants use your tools and data. - [ncnn](https://plain-ayi.com/repo/ncnn): A lightweight engine from Tencent for running AI models quickly on phones, laptops and small devices. - [PrivateGPT](https://plain-ayi.com/repo/privategpt): Ready-made building blocks for making private AI apps that run on your own AI models. - [Tokenizers](https://plain-ayi.com/repo/hf-tokenizers): A fast code library that splits text into the small pieces, called tokens, that AI language models read. - [Strands Agents](https://plain-ayi.com/repo/strands-agents): Open-source code kits in Python and TypeScript for building and running AI agents with any model. - [MCP TypeScript SDK](https://plain-ayi.com/repo/mcp-typescript-sdk): The official code toolkit for building MCP connectors that let AI apps reach outside tools and data. - [NLTK](https://plain-ayi.com/repo/nltk): A long-standing Python toolkit for teaching and researching how computers process human language. - [Crawl4AI](https://plain-ayi.com/repo/crawl4ai): Turns any website into clean text that AI tools can read and use. - [OpenAI TypeScript and JavaScript API Library](https://plain-ayi.com/repo/openai-node): OpenAI's official code library for using its AI models from JavaScript and TypeScript programs. - [LangChain4j](https://plain-ayi.com/repo/langchain4j): A Java toolkit for building apps that use AI language models. - [Deep Agents](https://plain-ayi.com/repo/deep-agents): A ready-to-run starting point for programmers building AI agents that handle long, multi-step tasks. - [MediaPipe](https://plain-ayi.com/repo/mediapipe): Ready-made AI features, such as spotting hands, faces or objects, that developers can add to apps. - [Supervision](https://plain-ayi.com/repo/supervision): A Python toolkit that helps programmers build computer-vision apps, such as counting objects in video. - [Composio](https://plain-ayi.com/repo/composio): Lets developers connect their AI agents to over a thousand apps, such as email, so agents can take action. - [Burn](https://plain-ayi.com/repo/burn): A deep-learning toolkit for the Rust programming language, for both training and running AI models. - [Agent2Agent (A2A) Protocol](https://plain-ayi.com/repo/a2a-protocol): A shared language that lets AI agents from different companies find each other and work together. - [Instructor](https://plain-ayi.com/repo/instructor): Helps programs get neat, checked data back from AI chat models instead of loose text. - [Kornia](https://plain-ayi.com/repo/kornia): A computer vision code library that lets AI models edit, transform and understand images. - [Haystack](https://plain-ayi.com/repo/haystack): A Python framework for building AI apps that search documents, answer questions and run agents. - [Spring AI](https://plain-ayi.com/repo/spring-ai): A framework that helps Java developers connect their apps and data to AI models. - [Corsair](https://plain-ayi.com/repo/corsair): Helps developers connect AI agents and apps to many outside services through one common setup. - [OpenBB Open Data Platform](https://plain-ayi.com/repo/openbb): Pulls financial and economic data from many sources into one place for analysts, spreadsheets and AI agents. - [assistant-ui](https://plain-ayi.com/repo/assistant-ui): Ready-made building blocks for adding a ChatGPT-style chat window to a website or web app. - [Semantic Kernel](https://plain-ayi.com/repo/semantic-kernel): Microsoft's toolkit for building AI assistants and agents into apps, now followed by Microsoft Agent Framework. - [Transformers.js](https://plain-ayi.com/repo/transformers-js): Runs Hugging Face AI models directly in a web browser, with no server needed. - [sktime](https://plain-ayi.com/repo/sktime): A Python toolkit for analysing and forecasting data that changes over time. - [Model Context Protocol (MCP)](https://plain-ayi.com/repo/model-context-protocol): The official rules and documentation for MCP, a shared standard used by AI apps and tools. - [AG-UI](https://plain-ayi.com/repo/ag-ui): A shared standard for connecting AI agents to the apps and screens people actually use. - [CUTLASS](https://plain-ayi.com/repo/cutlass): NVIDIA building blocks for fast matrix maths on graphics cards. - [Spring AI Alibaba](https://plain-ayi.com/repo/spring-ai-alibaba): A Java framework for building AI agents, workflows and teams of agents that work together. - [Trigger.dev](https://plain-ayi.com/repo/trigger-dev): A platform for running long AI tasks and workflows reliably in the background, with retries and monitoring. - [fastai](https://plain-ayi.com/repo/fastai): A code library that makes training your own AI models quicker, paired with a free course. - [E2B](https://plain-ayi.com/repo/e2b): Safe, isolated cloud computers where AI agents can run the code they write without risking your systems. - [Presidio](https://plain-ayi.com/repo/presidio): Finds and hides personal information, like names and phone numbers, in text and images. - [ModelScope](https://plain-ayi.com/repo/modelscope): A Python library for loading and using hundreds of AI models from the ModelScope hub in a few lines. - [Outlines](https://plain-ayi.com/repo/outlines): Makes AI models reply in an exact format, such as valid JSON or a fixed set of choices. - [ML.NET](https://plain-ayi.com/repo/ml-net): Microsoft's free toolkit for adding machine learning to apps written in .NET. - [Tesseract.js](https://plain-ayi.com/repo/tesseract-js): A JavaScript library that reads text from images, right in a web browser or in Node.js. - [Streamdown](https://plain-ayi.com/repo/streamdown): A code component that neatly displays AI chat replies as they stream in, even half-finished ones. - [Go OpenAI](https://plain-ayi.com/repo/go-openai): An unofficial code library that lets programs written in Go use OpenAI's AI services. - [Orama](https://plain-ayi.com/repo/orama): A small search engine that runs inside a web page or app, finding results by keywords, meaning, or both. - [Rig](https://plain-ayi.com/repo/rig): A Rust code library for building apps and agents powered by AI language models. - [AgentScope](https://plain-ayi.com/repo/agentscope): A toolkit for programmers to build AI agents, including teams of agents and real-time voice agents. - [LangChain Go](https://plain-ayi.com/repo/langchaingo): A Go version of LangChain for building programs that use AI language models. - [TOON (Token-Oriented Object Notation)](https://plain-ayi.com/repo/toon): A compact way to write data for AI prompts that uses fewer tokens than standard JSON. - [MONAI](https://plain-ayi.com/repo/monai): An open toolkit for building AI that works with medical images such as scans. - [Gensim](https://plain-ayi.com/repo/gensim): A Python library for finding topics and similar documents in large collections of text. - [llmware](https://plain-ayi.com/repo/llmware): A toolkit for building private AI apps that answer questions from your documents using small models on your own computer. - [Ollama Python Library](https://plain-ayi.com/repo/ollama-python): Lets Python programs talk to AI models running on your own computer through Ollama. - [Eclipse Deeplearning4J](https://plain-ayi.com/repo/deeplearning4j): A set of tools for building and running deep-learning AI in Java and other JVM languages. - [Microsoft Agent Framework](https://plain-ayi.com/repo/microsoft-agent-framework): Microsoft's toolkit for building AI agents and multi-agent workflows in Python and .NET. - [TensorFlow.js](https://plain-ayi.com/repo/tensorflow-js): Lets web developers build, train and run AI models directly in a web browser or in Node.js. - [UMAP](https://plain-ayi.com/repo/umap): A technique and Python library for turning complex data into simple 2D or 3D maps you can see. - [ScrapeGraphAI](https://plain-ayi.com/repo/scrapegraphai): Pull the information you want from websites and documents just by describing it in plain words. - [txtai](https://plain-ayi.com/repo/txtai): A toolkit for building search by meaning, AI question-answering and language workflows. - [Agent Development Kit (ADK) for Go](https://plain-ayi.com/repo/adk-go): Google's toolkit for programmers to build, test and launch AI agents using the Go language. - [BAML](https://plain-ayi.com/repo/baml): A programming language for building reliable AI agents. - [AgentScope Java](https://plain-ayi.com/repo/agentscope-java): A Java framework for building production AI agents that can run for a long time. - [Cloudflare Agents](https://plain-ayi.com/repo/cloudflare-agents): A toolkit for building AI agents that run on Cloudflare's network and remember their state. - [PySyft](https://plain-ayi.com/repo/pysyft): Lets researchers analyse private data held by someone else without the data ever leaving its owner. - [Segmentation Models PyTorch](https://plain-ayi.com/repo/segmentation-models-pytorch): A code library for building AI models that outline objects in images, pixel by pixel. - [dlib](https://plain-ayi.com/repo/dlib): A long-standing C++ and Python toolkit for machine learning and computer vision, such as face detection. - [Genkit](https://plain-ayi.com/repo/genkit): Google's open framework for building AI features and agents into apps, in several programming languages. - [EasyOCR](https://plain-ayi.com/repo/easyocr): Reads printed text out of photos and images in more than 80 languages. - [Core ML Tools](https://plain-ayi.com/repo/coremltools): Apple's tools for converting AI models into the format used by apps on iPhone, iPad and Mac. - [Pyro](https://plain-ayi.com/repo/pyro): A Python library for probabilistic programming: building AI models that reason about uncertainty. - [Autograd](https://plain-ayi.com/repo/autograd): A Python library that automatically works out the maths needed to train neural networks and other models. - [LangExtract](https://plain-ayi.com/repo/langextract): Pulls key facts out of long text, like clinical notes or reports, and shows exactly where each one came from. - [MCP Go SDK](https://plain-ayi.com/repo/mcp-go-sdk): The official Go toolkit for building MCP servers and clients that connect AI to tools. - [DeepFace](https://plain-ayi.com/repo/deepface): A Python library that recognises faces and estimates age, gender, emotion and race from photos. - [einops](https://plain-ayi.com/repo/einops): A small coding library that makes reshaping AI data clearer and less error-prone. - [PaddleX](https://plain-ayi.com/repo/paddlex): A low-code toolkit from Baidu's PaddlePaddle with hundreds of ready AI models for text, images and documents. - [LLM](https://plain-ayi.com/repo/llm): A command-line tool for chatting with and using many different AI models from your terminal. - [mcp-use](https://plain-ayi.com/repo/mcp-use): A toolkit for programmers to build MCP servers and small apps that plug into ChatGPT, Claude and AI agents. - [Agent-Native](https://plain-ayi.com/repo/agent-native): A framework for building AI agent apps where the agent and the on-screen interface share the same actions and data. - [Eino](https://plain-ayi.com/repo/eino): A toolkit for programmers who use the Go language to build AI chat apps and AI agents. - [RunAnywhere](https://plain-ayi.com/repo/runanywhere): A toolkit for app makers to run AI chat, voice and vision directly on phones, browsers and computers. - [OpenMed](https://plain-ayi.com/repo/openmed): Finds medical details in clinical notes and removes personal information, on hardware you control. - [OpenFace](https://plain-ayi.com/repo/openface): A free face-recognition library from Carnegie Mellon University, built on deep neural networks. - [ExecuTorch](https://plain-ayi.com/repo/executorch): PyTorch's toolkit for running AI models directly on phones, laptops, headsets and tiny chips. - [json_repair](https://plain-ayi.com/repo/json-repair): A small Python library that fixes broken JSON data, such as badly formatted AI output. - [OpenAI PHP](https://plain-ayi.com/repo/openai-php-client): A community-made PHP library for using OpenAI's AI services from PHP websites and apps. - [OpenConnector](https://plain-ayi.com/repo/openconnector): A gateway that safely connects AI agents to everyday apps like Gmail, Slack, GitHub and Notion. - [Moli](https://plain-ayi.com/repo/moli): A lightweight web browser without a screen, built for AI agents to read and use websites. - [Darts](https://plain-ayi.com/repo/darts): A Python toolkit for forecasting future values from past data and spotting unusual readings. - [Semantica](https://plain-ayi.com/repo/semantica): A code library that organises company data into a connected map of facts that AI agents can use and explain. - [OpenUI](https://plain-ayi.com/repo/openui-thesysdev): A toolkit that lets AI models answer with charts, forms and tables instead of only text. - [Stanza](https://plain-ayi.com/repo/stanza): Stanford's code library for analysing text in more than 60 human languages. - [Causal ML](https://plain-ayi.com/repo/causalml): A Python toolkit that estimates how much an action, like an ad or offer, actually changes people's behaviour. - [Flashlight](https://plain-ayi.com/repo/flashlight): A fast, compact machine-learning library written in C++ for researchers who want full control. - [BERTopic](https://plain-ayi.com/repo/bertopic): Finds the main topics in a large pile of text, such as reviews, articles or social posts. - [MCPorter](https://plain-ayi.com/repo/mcporter): A tool for finding and calling MCP servers from scripts, the command line or TypeScript code. - [FlagEmbedding (BGE)](https://plain-ayi.com/repo/flagembedding): Free models and tools that help AI search text and find the most relevant passages. - [CocoIndex](https://plain-ayi.com/repo/cocoindex): A Python framework that keeps your data continuously ready for AI agents and apps. - [Marvin](https://plain-ayi.com/repo/marvin): A Python library that uses AI to pull tidy, structured information out of messy text and run simple agent workflows. - [River](https://plain-ayi.com/repo/river): A Python library for machine learning on live, streaming data that learns one example at a time. - [Agent Governance Toolkit](https://plain-ayi.com/repo/agent-governance-toolkit): Microsoft's toolkit for setting firm rules on what AI agents may do, and recording what they did. - [Chatbot](https://plain-ayi.com/repo/vercel-chatbot): A ready-made starting point for developers who want to build their own ChatGPT-style chat app. - [GluonTS](https://plain-ayi.com/repo/gluonts): A Python toolkit from AWS for forecasting future values, like sales or demand, with deep learning. - [JavaCV](https://plain-ayi.com/repo/javacv): Lets Java and Android programs use popular computer vision and video tools such as OpenCV and FFmpeg. - [Vision Agents](https://plain-ayi.com/repo/vision-agents): Building blocks for AI agents that can watch video, listen and talk in real time. - [Zvec](https://plain-ayi.com/repo/zvec): A lightweight database that lives inside your app and finds information by meaning, keywords, or both. - [Astrid](https://plain-ayi.com/repo/astrid): A sandboxed runtime that controls exactly what each piece of software, including AI agents, is allowed to do. - [ChatterBot](https://plain-ayi.com/repo/chatterbot): A Python library for making simple chatbots that learn replies from example conversations. - [PyTorch Forecasting](https://plain-ayi.com/repo/pytorch-forecasting): A Python library for predicting future values from past data, such as sales or demand, with neural networks. - [Sonnet](https://plain-ayi.com/repo/sonnet): A code library from DeepMind for building neural networks on top of TensorFlow. - [Flair](https://plain-ayi.com/repo/flair): A Python library for finding names, places and sentiment in text, in many languages. - [DeepChem](https://plain-ayi.com/repo/deepchem): Open-source tools for using deep learning in drug discovery, chemistry, materials science and biology. - [ClawRouter](https://plain-ayi.com/repo/clawrouter): Sends each AI request to the cheapest model that can handle it, and lets AI agents pay for models themselves. - [Guess.js](https://plain-ayi.com/repo/guess-js): Code tools that predict which web page a visitor will open next and load it early to speed up a site. - [Paddle Lite](https://plain-ayi.com/repo/paddle-lite): A lightweight engine from Baidu's PaddlePaddle for running AI models on phones and small devices. - [InterpretML](https://plain-ayi.com/repo/interpret): A code library for building AI prediction models people can understand, and for explaining ones they can't. - [GoCV](https://plain-ayi.com/repo/gocv): Lets programs written in Go use OpenCV for computer vision, like detecting faces in webcam video. - [SAHI](https://plain-ayi.com/repo/sahi): A vision library that helps AI spot small objects in large images by examining them in slices. - [turbovec](https://plain-ayi.com/repo/turbovec): A compact, fast way for programs to search large collections of AI data by meaning, using far less memory. - [skorch](https://plain-ayi.com/repo/skorch): Lets programmers use PyTorch neural networks with the familiar tools of the scikit-learn library. - [tch-rs](https://plain-ayi.com/repo/tch-rs): Lets programmers use PyTorch, a leading AI toolkit, from the Rust programming language. - [Open Multi-Agent (OMA)](https://plain-ayi.com/repo/open-multi-agent): A self-hosted toolkit for building AI agents whose important actions wait for a person's approval. - [FastAPI-MCP](https://plain-ayi.com/repo/fastapi-mcp): Turns an existing FastAPI web service into tools that AI assistants can use, with login checks included. - [x-transformers](https://plain-ayi.com/repo/x-transformers): A compact Python library for building transformer AI models, with many experimental ideas from research papers. - [TypeChat](https://plain-ayi.com/repo/typechat): A Microsoft library that helps programs turn plain-language requests into reliable, structured data using AI. - [Bindu](https://plain-ayi.com/repo/bindu): Gives AI agents an identity, a way to talk to each other, and a way to take payments. - [pytorch-grad-cam](https://plain-ayi.com/repo/pytorch-grad-cam): Shows which parts of a picture an image-recognition AI relied on to make its decision. - [Atomic Agents](https://plain-ayi.com/repo/atomic-agents): A lightweight Python framework for building AI agents from small, reusable parts. - [NSFWJS](https://plain-ayi.com/repo/nsfwjs): A JavaScript library that checks images for explicit content right inside the user's browser. - [cleanlab](https://plain-ayi.com/repo/cleanlab): Finds mistakes in the data used to train AI, such as wrong labels, duplicates and odd outliers. - [Monid](https://plain-ayi.com/repo/monid): One account and key that gives AI agents access to thousands of paid tools, such as search and data lookups. - [Face Recognition](https://plain-ayi.com/repo/face-recognition): A simple programming toolkit for finding faces in photos and recognising who they are. - [DeepCTR](https://plain-ayi.com/repo/deepctr): A code library of AI models that predict which ads or items people are likely to click. - [AntV Infographic](https://plain-ayi.com/repo/antv-infographic): A JavaScript tool that turns short text descriptions into polished infographics, designed so AI can write them. - [Laya-MLX](https://plain-ayi.com/repo/laya-mlx): Runs small, fast AI decision models on Apple Silicon Macs, picking answers from set choices without writing text. - [Pocket Flow](https://plain-ayi.com/repo/pocketflow): A tiny code framework for building AI agents and workflows. - [MMAction2](https://plain-ayi.com/repo/mmaction2): A research toolbox for teaching AI to recognise actions and activities in videos. - [MCP-UI](https://plain-ayi.com/repo/mcp-ui): A developer kit for showing interactive screens, not just text, inside AI apps that use MCP. - [AIO Sandbox](https://plain-ayi.com/repo/aio-sandbox): A ready-made, contained computer environment where AI agents can browse, run code and handle files. - [Reader](https://plain-ayi.com/repo/jina-reader): Turns any web page into clean text that AI models can read, and can search the web too. - [tsai](https://plain-ayi.com/repo/tsai): A Python library of deep learning models for time series tasks like forecasting and classification. - [LLM Scraper](https://plain-ayi.com/repo/llm-scraper): A code library that uses AI to pull structured information out of any web page. - [Klavis AI](https://plain-ayi.com/repo/klavis): Ready-made connectors that let AI agents use apps like Gmail and Slack reliably. - [Surprise](https://plain-ayi.com/repo/surprise): A Python library for building and testing recommendation systems based on user ratings. - [Face Alignment](https://plain-ayi.com/repo/face-alignment): A Python library that finds key points on faces in photos, such as eyes, nose and mouth. - [scikit-opt](https://plain-ayi.com/repo/scikit-opt): A Python library of nature-inspired methods for finding the best answer to hard optimisation problems. - [LTP](https://plain-ayi.com/repo/ltp): A toolkit for analysing Chinese text, such as splitting words and finding names and sentence structure. - [Synonyms](https://plain-ayi.com/repo/synonyms): A code library that finds Chinese words with similar meanings, for chatbots, search and question answering. ## Everyday tools Handy, focused AI utilities for everyday tasks. - [Tesseract OCR](https://plain-ayi.com/repo/tesseract): Reads text out of images and scans, in more than 100 languages. - [Fabric](https://plain-ayi.com/repo/fabric): A library of ready-made AI prompts for everyday tasks, plus a tool to run them on your own text. - [PhotoPrism](https://plain-ayi.com/repo/photoprism): A private photo app you host yourself that uses AI to label, search and organise your pictures. - [Folo](https://plain-ayi.com/repo/folo): A news and feed reader that gathers everything you follow in one place and uses AI to summarise it. - [AI Job Search](https://plain-ayi.com/repo/ai-job-search): Uses Claude Code to find jobs, judge fit, tailor your CV and cover letter, and prep for interviews. - [Omi](https://plain-ayi.com/repo/omi): An AI note-taker that listens to your conversations and screen, then writes summaries and to-dos. - [screenpipe](https://plain-ayi.com/repo/screenpipe): Records your screen and audio on your own computer so AI can search, summarise and automate your work. - [Resume Matcher](https://plain-ayi.com/repo/resume-matcher): Tailors your resume and cover letter to each job description using AI, running privately on your own computer. - [Next AI Draw.io](https://plain-ayi.com/repo/next-ai-draw-io): Describe a diagram in a sentence and AI draws it for you in draw.io, ready to edit. - [Magika](https://plain-ayi.com/repo/magika): Uses a small AI model to work out what kind of file something really is, in milliseconds. - [Voyager](https://plain-ayi.com/repo/voyager): A browser extension that adds folders, saved prompts, export and timelines to Gemini, ChatGPT, Claude and DeepSeek. - [Prompt Optimizer](https://plain-ayi.com/repo/prompt-optimizer): Rewrites your AI prompts to get clearer, better answers, and lets you test the results side by side. - [World Monitor](https://plain-ayi.com/repo/world-monitor): A live world dashboard that gathers news, maps and markets, with AI-written summaries. - [NextAI Translator](https://plain-ayi.com/repo/nextai-translator): Translate, polish or summarise any selected text using AI, in your browser or a desktop app. - [PPT Master](https://plain-ayi.com/repo/ppt-master): Turns a document or topic into a real, editable PowerPoint presentation, using the AI tool you already have. - [Easydict](https://plain-ayi.com/repo/easydict): A Mac app for looking up words and translating text, using dictionaries, translation services and AI. - [Inbox Zero](https://plain-ayi.com/repo/inbox-zero): An AI email assistant that sorts your inbox, drafts replies and helps you unsubscribe from clutter. - [TrendRadar](https://plain-ayi.com/repo/trendradar): Collects trending news from many sites, filters it by your keywords with AI, and sends summaries to your phone. - [Read Frog](https://plain-ayi.com/repo/read-frog): A browser extension that translates web pages and video subtitles and turns new words into flashcards. - [OpenSEO](https://plain-ayi.com/repo/openseo): A pay-as-you-go SEO tool for researching keywords and tracking search rankings, which your AI assistant can also use. - [Horizon](https://plain-ayi.com/repo/horizon): An AI news radar that gathers stories from many sources and writes you a daily briefing. - [Banana Slides](https://plain-ayi.com/repo/banana-slides): Turns an idea, outline or document into a slide presentation in minutes, ready to edit and export to PowerPoint. - [Gitingest](https://plain-ayi.com/repo/gitingest): Turns any code repository into one text file you can paste into an AI chat. - [Prompt Master](https://plain-ayi.com/repo/prompt-master): A Claude skill that writes clear, targeted prompts for other AI tools, from ChatGPT to Midjourney. - [Remove Windows AI](https://plain-ayi.com/repo/removewindowsai): A script that turns off or removes Copilot, Recall and other built-in AI features in Windows 11. - [Presenton](https://plain-ayi.com/repo/presenton): Creates editable slide presentations from a prompt or a document, using the AI model you choose. - [Koharu](https://plain-ayi.com/repo/koharu): A desktop app that translates manga pages with AI, cleaning up and replacing the original text. - [Magic Resume](https://plain-ayi.com/repo/magic-resume): An online resume editor with live preview, themes, PDF export and AI help with writing. - [Zero](https://plain-ayi.com/repo/zero-mail): An open-source email app you can host yourself, with AI features and one inbox for several accounts. - [HTML Anything](https://plain-ayi.com/repo/html-anything): An editor where your AI coding agent turns your writing into designed web pages, slides and posters. - [AiShort (ChatGPT Shortcut)](https://plain-ayi.com/repo/aishort): A searchable library of ready-made prompts you can copy into ChatGPT, Claude, Gemini and other AI tools. - [狗头军师 (Goutou Junshi)](https://plain-ayi.com/repo/goutoujunshi): A Chinese-language relationship-advice skill for AI assistants that helps you think through dating and relationships. - [jev-chat](https://plain-ayi.com/repo/jev-chat): Reads a chat on your screen, works out what the other person means, and drafts replies for you to send. - [Summarize](https://plain-ayi.com/repo/summarize): Get the gist of any web page, YouTube video, podcast or file, from your browser or terminal. - [Dayflow](https://plain-ayi.com/repo/dayflow): A Mac app that watches your screen and automatically writes a timeline of what you worked on each day. - [Pulse](https://plain-ayi.com/repo/pulse): A self-hosted dashboard that monitors your servers and catches silent failures. - [Yank Note](https://plain-ayi.com/repo/yank-note): A Markdown note editor with a built-in AI helper for writing, plus mind maps, charts and encryption. - [TaxHacker](https://plain-ayi.com/repo/taxhacker): A self-hosted accounting app that reads receipts and invoices with AI and organises them. - [xiaogpt](https://plain-ayi.com/repo/xiaogpt): Connects a Xiaomi smart speaker to ChatGPT and other AI models so you can talk to them by voice. - [PPTAgent](https://plain-ayi.com/repo/pptagent): An AI framework that creates and reviews editable PowerPoint slide decks. - [Everywhere](https://plain-ayi.com/repo/everywhere): A desktop AI assistant that understands what is on your screen and helps with a shortcut key. - [SQL Chat](https://plain-ayi.com/repo/sqlchat): Ask questions of your database in plain language instead of writing SQL code. - [OpenAI Translator for Bob](https://plain-ayi.com/repo/bob-plugin-openai-translator): Adds AI translation, polishing and grammar fixes to Bob, a translation app for Mac. - [PasteMD](https://plain-ayi.com/repo/pastemd): Pastes AI chat answers and Markdown into Word, WPS or Excel with formatting and formulas intact. - [Argos Translate](https://plain-ayi.com/repo/argos-translate): Translates text between many languages offline, entirely on your own computer. - [MineContext](https://plain-ayi.com/repo/minecontext): A desktop AI helper that watches your screen and gives you summaries, to-do lists and reminders. - [BibiGPT v1](https://plain-ayi.com/repo/bibigpt-v1): Summarises YouTube and Bilibili videos with AI so you can get the main points without watching. - [NN-SVG](https://plain-ayi.com/repo/nn-svg): A free web tool for drawing neat diagrams of neural networks for papers and web pages. ## Learning resources Courses, guides and curated lists for learning about AI. - [prompts.chat](https://plain-ayi.com/repo/prompts-chat): A free, community-built library of ready-made prompts to use with ChatGPT, Claude, Gemini and other AI chats. - [Awesome MCP Servers](https://plain-ayi.com/repo/awesome-mcp-servers): A big, sorted list of add-ons that let AI assistants connect to apps, files and online services. - [OpenAI Cookbook](https://plain-ayi.com/repo/openai-cookbook): Example code and guides from OpenAI showing how to do common tasks with its AI models. - [Generative AI for Beginners](https://plain-ayi.com/repo/generative-ai-for-beginners): A 21-lesson course from Microsoft on how generative AI works and how to build with it. - [Machine Learning for Beginners](https://plain-ayi.com/repo/ml-for-beginners): A free 12-week course from Microsoft that teaches the basics of machine learning through projects. - [Computer Science courses with video lectures](https://plain-ayi.com/repo/cs-video-courses): A long list of free university computer science courses that come with recorded video lectures. - [Hello-Agents](https://plain-ayi.com/repo/hello-agents): A free step-by-step course, mainly in Chinese, on how AI agents work and how to build your own. - [Awesome LLM Apps](https://plain-ayi.com/repo/awesome-llm-apps): A large collection of ready-to-run example AI apps and agents you can copy and learn from. - [AI Agents for Beginners](https://plain-ayi.com/repo/ai-agents-for-beginners): A free course of short lessons and videos on how to build AI agents. - [Awesome Data Science](https://plain-ayi.com/repo/awesome-data-science): A big, organized list of free courses, tools, books and communities for learning data science. - [Hugging Face Agents Course](https://plain-ayi.com/repo/hugging-face-agents-course): A free online course that explains how AI agents work and teaches you to build your own. - [AI Agents in Depth (深入理解 AI Agent)](https://plain-ayi.com/repo/ai-agent-book): A free book that explains how AI agents work and how to build them, with hands-on exercises. - [Build a Large Language Model (From Scratch)](https://plain-ayi.com/repo/llms-from-scratch): The code for a book that teaches you how ChatGPT-style AI works by building a small one yourself. - [Amazon SageMaker Examples](https://plain-ayi.com/repo/amazon-sagemaker-examples): Official example notebooks showing how to train, adjust and launch AI models on Amazon's SageMaker cloud service. - [Generative AI on Google Cloud](https://plain-ayi.com/repo/generative-ai-on-google-cloud): Example notebooks and sample apps showing how to build with Google's Gemini AI models on Google Cloud. - [Awesome Production Machine Learning](https://plain-ayi.com/repo/awesome-production-machine-learning): A curated list of open-source tools for running, monitoring and scaling machine learning in real products. - [Machine Learning Systems](https://plain-ayi.com/repo/machine-learning-systems): A free textbook series and course from Harvard on how to engineer real-world AI systems. - [Prompt Engineering Guide](https://plain-ayi.com/repo/prompt-engineering-guide): A free guide to writing better instructions for AI chatbots, from basics to advanced methods. - [The fastai Book](https://plain-ayi.com/repo/fastbook): The full fastai deep-learning book as interactive notebooks you can read and run for free. - [AI for Beginners](https://plain-ayi.com/repo/ai-for-beginners): A free 12-week, 24-lesson course from Microsoft that teaches the basics of artificial intelligence. - [awesome-nlp](https://plain-ayi.com/repo/awesome-nlp): A curated list of resources for natural language processing, the study of how computers handle human language. - [Learn Claude Code](https://plain-ayi.com/repo/learn-claude-code): A step-by-step tutorial that teaches you to build a small Claude Code-style AI coding agent from scratch. - [LearnOpenCV](https://plain-ayi.com/repo/learnopencv): Code examples for hundreds of tutorials on computer vision, teaching computers to understand images and video. - [Awesome Generative AI](https://plain-ayi.com/repo/awesome-generative-ai): A hand-picked list of generative AI projects, services and reading, sorted by topic. - [Machine Learning Zoomcamp](https://plain-ayi.com/repo/machine-learning-zoomcamp): A free, hands-on course on building and deploying machine-learning models, self-paced or with a yearly group. - [MLOps Zoomcamp](https://plain-ayi.com/repo/mlops-zoomcamp): A free nine-week course on how to put machine learning models into real use and keep them running well. - [Awesome DeepSeek Integrations](https://plain-ayi.com/repo/awesome-deepseek-integrations): A list of apps, plug-ins and tools that work with DeepSeek's AI models. - [RAG Techniques](https://plain-ayi.com/repo/rag-techniques): A collection of hands-on tutorials showing different ways to help AI answer questions from your own documents. - [Best-of Machine Learning with Python](https://plain-ayi.com/repo/best-of-ml-python): A ranked, regularly updated list of open-source machine learning libraries for Python. - [GenAI Agents](https://plain-ayi.com/repo/genai-agents): A large set of hands-on tutorials showing how to build AI agents, from simple chatbots to teams of agents. - [Self LLM (开源大模型食用指南)](https://plain-ayi.com/repo/self-llm): Step-by-step Chinese-language tutorials for setting up, running and fine-tuning open AI models on Linux. - [Awesome-MCP-ZH](https://plain-ayi.com/repo/awesome-mcp-zh): A Chinese-language guide and list of resources for MCP, the standard that connects AI to outside tools. - [Learn PyTorch for Deep Learning](https://plain-ayi.com/repo/learn-pytorch-for-deep-learning): A complete beginner-friendly course on building AI models with PyTorch, with an online book and videos. - [AI Engineering from Scratch](https://plain-ayi.com/repo/ai-engineering-from-scratch): A free, hands-on curriculum that teaches AI engineering by building models, search systems and agents yourself. - [Awesome-Pytorch-list](https://plain-ayi.com/repo/awesome-pytorch-list): A big list of libraries, tutorials and examples built around PyTorch, a popular AI toolkit. - [MCP for Beginners](https://plain-ayi.com/repo/mcp-for-beginners): A free Microsoft course teaching the Model Context Protocol, the common way AI apps connect to tools. - [The Incredible PyTorch](https://plain-ayi.com/repo/the-incredible-pytorch): A big curated list of tutorials, projects and papers about PyTorch, a popular AI toolkit. - [Awesome Generative AI Guide](https://plain-ayi.com/repo/awesome-generative-ai-guide): A one-stop hub of free courses, reading lists and interview prep for learning generative AI. - [System Prompts Leaks](https://plain-ayi.com/repo/system-prompts-leaks): Read the hidden instructions that popular AI chatbots and coding tools are given before you start chatting. - [Machine Learning Engineering Open Book](https://plain-ayi.com/repo/ml-engineering): A free, practical book on the hardware and know-how needed to train and run large AI models. - [Awesome LLMOps](https://plain-ayi.com/repo/awesome-llmops): A curated list of tools for building, running and managing large AI language models. - [Awesome AI Agents](https://plain-ayi.com/repo/awesome-ai-agents): A curated list of AI agent projects and companies, with short descriptions and links. - [Data Science Interviews](https://plain-ayi.com/repo/data-science-interviews): A community-written set of data science and machine learning interview questions, with answers. - [claude-code-best-practice](https://plain-ayi.com/repo/claude-code-best-practice): A reference guide to Claude Code's features, with tips and working examples for each one. - [Claude How To](https://plain-ayi.com/repo/claude-howto): A visual, step-by-step guide to learning Claude Code, with templates you can copy into your own projects. - [Learn Harness Engineering](https://plain-ayi.com/repo/learn-harness-engineering): A hands-on course on setting up the rules, tools and checks that keep AI coding agents reliable. - [Recommenders](https://plain-ayi.com/repo/recommenders): Worked examples and best practices for building recommendation systems, like "you might also like" features. - [Awesome Claude Code](https://plain-ayi.com/repo/awesome-claude-code): A hand-picked list of guides, add-ons and tools for Claude Code, Anthropic's AI coding assistant. - [Agents Towards Production](https://plain-ayi.com/repo/agents-towards-production): Hands-on tutorials for turning a prototype AI agent into a reliable product that real users can depend on. - [Awesome AI Apps](https://plain-ayi.com/repo/awesome-ai-apps): A large collection of example AI apps and tutorials, from simple chatbots to voice and research agents. - [100 Days of ML Code (Chinese)](https://plain-ayi.com/repo/100-days-of-ml-code-chinese): A day-by-day machine learning course in Chinese, with explanations and practice code. - [llm-action](https://plain-ayi.com/repo/llm-action): Chinese-language tutorials and notes on how large AI models are trained, run and put into use. - [Awesome LangChain](https://plain-ayi.com/repo/awesome-langchain): A curated list of tools, projects and tutorials built around the LangChain framework. - [AI Engineering Hub](https://plain-ayi.com/repo/ai-engineering-hub): A large collection of hands-on tutorials and example projects for building apps with AI models. - [Coursera-ML-AndrewNg-Notes](https://plain-ayi.com/repo/coursera-ml-andrewng-notes): Chinese-language study notes, subtitles and code for Andrew Ng's Machine Learning course. - [500 AI, Machine Learning, Deep Learning, Computer Vision and NLP Projects with Code](https://plain-ayi.com/repo/500-ai-projects): A long list of links to AI practice projects with code, for learning by building. - [Happy-LLM](https://plain-ayi.com/repo/happy-llm): A free tutorial, in Chinese, that explains how large language models work and how to build one from scratch. - [Yupi's AI Guide](https://plain-ayi.com/repo/yupi-ai-guide): A free Chinese-language knowledge base of AI tool guides, tips and a beginner's course in coding with AI. - [Mathematical Foundations of Reinforcement Learning](https://plain-ayi.com/repo/mathematical-foundations-of-rl): A textbook with lecture videos that explains the maths behind reinforcement learning in a friendly way. - [Hugging Face Deep RL Course](https://plain-ayi.com/repo/deep-rl-class): A free course for learning deep reinforcement learning, with hands-on exercises. - [Awesome Multimodal Large Language Models](https://plain-ayi.com/repo/awesome-multimodal-llms): A research reading list on AI models that understand images, video and sound as well as text. - [Awesome Claude Skills](https://plain-ayi.com/repo/awesome-claude-skills): A curated list of skills and plug-ins that teach Claude and other AI assistants to handle specific tasks. - [Llama Cookbook](https://plain-ayi.com/repo/llama-cookbook): Meta's official recipes and examples for building with its Llama AI models. - [vibe-coding-cn](https://plain-ayi.com/repo/vibe-coding-cn): A Chinese-language toolkit of guides, prompts and skills for building software with AI assistants. - [Roboflow Notebooks](https://plain-ayi.com/repo/roboflow-notebooks): A large set of hands-on tutorials for computer vision, teaching AI to understand images. - [Awesome Video Diffusion](https://plain-ayi.com/repo/awesome-video-diffusion): A curated list of research and tools for AI that generates and edits video. - [AI Collection](https://plain-ayi.com/repo/ai-collection): A large, categorized directory of generative AI apps and tools. - [ChatGPT 中文指南](https://plain-ayi.com/repo/awesome-chatgpt-zh): A Chinese-language guide and link collection for using ChatGPT and other AI tools. - [Awesome Artificial Intelligence](https://plain-ayi.com/repo/awesome-artificial-intelligence): A hand-picked list of books, courses, papers and guides for developers learning to build AI systems. - [Awesome AI Tools](https://plain-ayi.com/repo/awesome-aitools): A large, categorized list of AI tools, from chat assistants to video, voice, writing and coding apps. - [Techniques for deep learning with satellite & aerial imagery](https://plain-ayi.com/repo/satellite-image-deep-learning-techniques): A big, organised list of AI methods and projects for analysing satellite and aerial photos. - [MLAlgorithms](https://plain-ayi.com/repo/mlalgorithms): Simple, readable code examples of classic machine-learning methods, written to help you learn how they work. - [Easy-Vibe](https://plain-ayi.com/repo/easy-vibe): A beginner course on building real apps with AI coding tools, starting from zero. - [AI Papers of the Week](https://plain-ayi.com/repo/ai-papers-of-the-week): A weekly list of notable AI research papers, picked by the DAIR.AI team. - [All-in-RAG](https://plain-ayi.com/repo/all-in-rag): A free, step-by-step course (in Chinese) on building AI apps that answer questions from your own documents. - [awesome-LLM-resources](https://plain-ayi.com/repo/awesome-llm-resources): A large, regularly updated list of tools, courses and papers about large language models, mostly in Chinese. - [LLM Engineer Toolkit](https://plain-ayi.com/repo/llm-engineer-toolkit): A sorted list of over a hundred software libraries for building with large language models. - [Awesome Free LLM APIs](https://plain-ayi.com/repo/awesome-free-llm-apis): A list of AI model providers that offer permanent free tiers, with their models and usage limits. - [Awesome Nano Banana Pro](https://plain-ayi.com/repo/awesome-nanobanana-pro): A collection of example prompts for Google's Nano Banana Pro image model, grouped by use. - [Agent Skill Index](https://plain-ayi.com/repo/agent-skill-index): A beginner-friendly directory of agent skills, small instruction files that teach AI assistants new tasks. - [Claude Code Tips](https://plain-ayi.com/repo/claude-code-tips): A long list of practical tips for getting more out of Claude Code, Anthropic's AI coding tool. - [Awesome GPT Image 2 Prompts](https://plain-ayi.com/repo/awesome-gpt-image-2-youmind-openlab): A large collection of example prompts, with preview pictures, for OpenAI's GPT Image 2 picture maker. - [AIMLInterviews](https://plain-ayi.com/repo/aiml-interviews): A study guide for job interviews in AI and machine learning at big tech companies. - [Awesome Prompt Engineering](https://plain-ayi.com/repo/awesome-prompt-engineering): A hand-picked collection of papers, tools, courses and guides on writing good instructions for AI models. - [Neural Networks and Deep Learning (nndl)](https://plain-ayi.com/repo/nndl): Free Chinese-language textbooks on neural networks and deep learning, from beginner to advanced. - [500+ AI Agent Projects](https://plain-ayi.com/repo/500-ai-agents-projects): A big catalogue of AI agent examples and use cases, sorted by industry and by the software used to build them. - [LLM Universe](https://plain-ayi.com/repo/llm-universe): A free Chinese-language course that teaches beginner programmers how to build apps with large AI models. - [carrot](https://plain-ayi.com/repo/carrot): A Chinese-language directory of AI chat assistants, agents and creative tools, with notes on which are free. - [Awesome AI Tools](https://plain-ayi.com/repo/awesome-ai-tools): A curated list of AI apps and models for writing, coding, images, video, audio and more. - [Prompt Engineering Techniques](https://plain-ayi.com/repo/prompt-engineering): Hands-on tutorials teaching techniques for writing better prompts for AI chat models. - [awesome-agentic-ai-zh](https://plain-ayi.com/repo/awesome-agentic-ai-zh): A step-by-step learning map for AI agents, from the basics of chat models to building reliable agent systems. - [Awesome Chinese LLM](https://plain-ayi.com/repo/awesome-chinese-llm): A curated list of open Chinese-language AI models, apps, datasets and tutorials. - [Pumpkin Book (南瓜书)](https://plain-ayi.com/repo/pumpkin-book): A free Chinese-language companion that explains the hard maths in a classic machine learning textbook. - [Awesome MLOps](https://plain-ayi.com/repo/awesome-mlops): A curated list of tools and reading for running machine learning projects in real-world use. - [learning](https://plain-ayi.com/repo/amitness-learning): One person's running list of courses, books and videos for learning software and AI skills. - [Hands-On Large Language Models](https://plain-ayi.com/repo/hands-on-large-language-models): The code examples for an illustrated book that teaches how AI language models work and how to use them. - [AI Infra in Depth](https://plain-ayi.com/repo/ai-infra-book): A free open book explaining the computing behind running and training AI models. - [Kaggle Solutions](https://plain-ayi.com/repo/kaggle-solutions): A large collection of winning ideas and write-ups from Kaggle data science competitions. - [AI-Coding-Guide-Zh](https://plain-ayi.com/repo/ai-coding-guide-zh): A beginner-friendly Chinese tutorial series on Claude Code, Codex, OpenClaw and WorkBuddy. - [Awesome Opus 5.5 Videos](https://plain-ayi.com/repo/awesome-opus-5-5-videos): A collection of popular animations made with Claude Opus 5.5, each with the prompt behind it. - [Deep Learning Drizzle](https://plain-ayi.com/repo/deep-learning-drizzle): A big, organised list of free university lectures on deep learning, machine learning and related AI topics. - [Claude Code Ultimate Guide](https://plain-ayi.com/repo/claude-code-ultimate-guide): A large guide to learning Claude Code, Anthropic's AI coding assistant, from first steps to team use. - [Deep Learning for Image Processing](https://plain-ayi.com/repo/deep-learning-for-image-processing): A Chinese-language video course and code on how AI recognises and finds objects in images. - [LangGPT](https://plain-ayi.com/repo/langgpt): A structured, template-based way to write clear, reusable prompts for AI chatbots. - [How to Build a Coding Agent](https://plain-ayi.com/repo/how-to-build-a-coding-agent): A step-by-step workshop that teaches you to build your own AI coding assistant. - [Awesome Hermes Agent](https://plain-ayi.com/repo/awesome-hermes-agent): An independent list of skills, plugins and tools for Nous Research's Hermes Agent. - [Homemade Machine Learning](https://plain-ayi.com/repo/homemade-machine-learning): Explains popular machine learning methods with simple code written from scratch and interactive demos. - [Transformers-Tutorials](https://plain-ayi.com/repo/transformers-tutorials): A large set of example notebooks showing how to use Hugging Face's Transformers library for many AI tasks. - [Awesome Claude Prompts](https://plain-ayi.com/repo/awesome-claude-prompts): A collection of example prompts for getting better results from Anthropic's Claude. - [Build A Reasoning Model (From Scratch)](https://plain-ayi.com/repo/reasoning-from-scratch): Code for a book that teaches how AI "reasoning" models work by building a small one yourself. - [AI Agents from Zero](https://plain-ayi.com/repo/ai-agents-from-zero): A free tutorial series on building AI agents, from basics to real projects. - [AIGC-Interview-Book](https://plain-ayi.com/repo/aigc-interview-book): A large Chinese-language guide to AI job interviews, covering language models, agents and deep learning. - [AgentGuide](https://plain-ayi.com/repo/agentguide): A Chinese-language study guide for learning to build AI agents and preparing for AI job interviews. - [CVPR 2026 Papers with Code](https://plain-ayi.com/repo/cvpr2026-papers-with-code): A topic-by-topic list of computer vision research papers from CVPR 2026 that come with code. - [awesome-chatgpt-prompts-zh](https://plain-ayi.com/repo/awesome-chatgpt-prompts-zh): A large collection of ready-to-copy Chinese prompts that ask ChatGPT to play roles like translator, editor or interviewer. - [mlcourse.ai](https://plain-ayi.com/repo/mlcourse-ai): A free, self-paced course that teaches the basics of machine learning over ten weeks. - [Graph-based Deep Learning Literature](https://plain-ayi.com/repo/graph-based-deep-learning-literature): An organised list of research papers on AI that works with networks of connected data. - [Mastering GitHub Copilot](https://plain-ayi.com/repo/mastering-github-copilot): A free Microsoft course, about 10 hours long, on using GitHub Copilot as an AI coding partner. - [Practical_RL](https://plain-ayi.com/repo/practical-rl): A free, hands-on university course on reinforcement learning, where AI learns by trial and error. - [LLM Course](https://plain-ayi.com/repo/llm-course): A free course with roadmaps and hands-on notebooks for learning how large language models work and are built. - [Awesome MCP Clients](https://plain-ayi.com/repo/awesome-mcp-clients): A curated list of apps that can use MCP, the standard way of plugging tools into AI assistants. - [Awesome LLM Inference](https://plain-ayi.com/repo/awesome-llm-inference): A curated list of research papers and code on making large language models run faster and cheaper. - [Awesome Self-Supervised Learning](https://plain-ayi.com/repo/awesome-self-supervised-learning): A curated list of research papers on self-supervised learning, where AI learns from unlabelled data. - [labml.ai Annotated Paper Implementations](https://plain-ayi.com/repo/annotated-deep-learning-paper-implementations): Explained, line-by-line code for dozens of well-known AI research papers, shown with notes side by side. - [ML-NLP](https://plain-ayi.com/repo/ml-nlp): Chinese-language study notes and code on machine learning and language AI, built for job interviews. - [pyprobml](https://plain-ayi.com/repo/pyprobml): Python notebooks that recreate the figures from Kevin Murphy's "Probabilistic Machine Learning" textbooks. - [Awesome GPT Image 2 Prompts](https://plain-ayi.com/repo/awesome-gpt-image-2-prompts): A collection of example prompts for creating and editing images with OpenAI's GPT Image 2 model. - [LeeDL Tutorial](https://plain-ayi.com/repo/leedl-tutorial): A free deep-learning textbook in Chinese, based on Professor Hung-yi Lee's popular lecture course. - [Made With ML](https://plain-ayi.com/repo/made-with-ml): A course on building, launching and improving real-world machine learning systems, not just experiments. - [LLMForEverybody](https://plain-ayi.com/repo/llmforeverybody): Chinese-language study material on large AI models, including key papers, videos and interview questions. - [LLMs Interview Notes](https://plain-ayi.com/repo/llm-interview-note): Study notes and interview questions on how large language models work, written in Chinese. - [LLM-Beginner](https://plain-ayi.com/repo/llm-beginner): A free Chinese-language e-book on large language models and AI agents, with six hands-on coding tasks. - [Wonderful Prompts](https://plain-ayi.com/repo/wonderful-prompts): A large collection of ready-to-use Chinese prompts for getting better results from ChatGPT and similar AI. - [Awesome ChatGPT](https://plain-ayi.com/repo/awesome-chatgpt): A curated list of apps, browser extensions, tools and articles for ChatGPT. - [MIT Introduction to Deep Learning](https://plain-ayi.com/repo/introtodeeplearning): The lab exercises and code for MIT's free introductory deep learning course. - [Awesome ChatGPT API](https://plain-ayi.com/repo/awesome-chatgpt-api): A curated list of apps and tools that let you use ChatGPT with your own API key. - [Awesome Pretrained Chinese NLP Models](https://plain-ayi.com/repo/awesome-pretrained-chinese-nlp-models): A big, organised list of openly available Chinese AI language models, with links to download them. - [Anomaly Detection Learning Resources](https://plain-ayi.com/repo/anomaly-detection-resources): A reading list of books, courses, papers, datasets and tools for finding unusual data with AI. - [Have Fun with Machine Learning](https://plain-ayi.com/repo/have-fun-with-machine-learning): A hands-on beginner's guide to training an AI that tells dolphins from seahorses in photos. - [T81-558: Applications of Deep Neural Networks](https://plain-ayi.com/repo/t81-558-deep-learning): A free university course on deep learning with Keras and TensorFlow, with notebooks and a textbook. - [The Practical Guides for Large Language Models](https://plain-ayi.com/repo/llms-practical-guide): A curated reading list on large language models, with a family tree of how models developed. - [AI Notes](https://plain-ayi.com/repo/ai-notes): One writer's running notes and reading lists on new AI developments, aimed at software engineers. - [LangChain 中文入门教程 (LangChain Chinese Getting Started Guide)](https://plain-ayi.com/repo/langchain-chinese-guide): A beginner tutorial in Chinese for LangChain, a popular toolkit for building apps on top of AI models. - [Transformer Explainer](https://plain-ayi.com/repo/transformer-explainer): An interactive web page showing, step by step, how a GPT-style AI model predicts the next word. - [Awesome LLM Strawberry](https://plain-ayi.com/repo/awesome-llm-strawberry): A reading list of papers, blogs and talks on how AI models like OpenAI's o1 learn to reason. - [FunRec](https://plain-ayi.com/repo/fun-rec): A free Chinese-language book on how recommendation systems work, from classic methods to AI-generated ones. - [Maths, CS & AI Compendium](https://plain-ayi.com/repo/maths-cs-ai-compendium): A free online textbook that explains maths, computing and AI from the ground up, intuition first. - [Awesome Vibe Coding](https://plain-ayi.com/repo/awesome-vibe-coding): A curated list of tools and guides for "vibe coding": building software by chatting with AI. - [RSPapers](https://plain-ayi.com/repo/rspapers): A curated list of must-read research papers and tutorials on recommender systems. - [Top Deep Learning Projects](https://plain-ayi.com/repo/top-deep-learning): A regularly updated ranking of popular open-source AI and deep learning projects on GitHub. - [DeepLearning.ai Courses Notes](https://plain-ayi.com/repo/deeplearning-ai-summary): One learner's notes and summaries of the five-course Deep Learning Specialization from DeepLearning.AI. - [Vibe Vibe](https://plain-ayi.com/repo/vibe-vibe): A free Chinese-language course teaching complete beginners to build software by chatting with AI. - [Learn AI Engineering](https://plain-ayi.com/repo/learn-ai-engineering): A study path of free courses, videos and articles for learning AI, from the maths up to AI agents. - [Machine Learning with PyTorch and Scikit-Learn (code)](https://plain-ayi.com/repo/machine-learning-book): Code examples for a machine-learning textbook, chapter by chapter. - [LLM Engineer's Handbook](https://plain-ayi.com/repo/llm-engineers-handbook): Companion code for a book on building, training and deploying a complete AI language model system. - [Start Machine Learning](https://plain-ayi.com/repo/start-machine-learning): A guide to learning machine learning and AI from scratch, mostly with free resources. - [Data Scientist Roadmap](https://plain-ayi.com/repo/data-scientist-roadmap): A free reading roadmap covering the maths, data and machine learning basics a data scientist needs. - [Tiny-Universe](https://plain-ayi.com/repo/tiny-universe): A Chinese-language course for building a small AI language model, RAG and agent system from scratch.