What it does
CodeGraph scans a software project and builds a "code graph". This is a map of how the pieces of the code connect to each other across files. AI coding assistants such as Claude Code, Cursor, Codex, Gemini, Kiro and GitHub Copilot can then look things up in this map instead of searching through files one by one.
It connects to these assistants through MCP, a standard way for AI tools to plug into outside helpers. Its makers say this means fewer tokens (the units AI services count and charge for) and fewer steps for the assistant. The map updates by itself whenever files change, so it stays current.
It works with many programming languages, including Python, JavaScript, TypeScript, Go, Rust, Java, C# and Swift. Its makers describe it as 100% local, meaning the map is kept on your own computer.
Who it's for
Programmers who use AI coding assistants and want those tools to understand large projects more quickly.
Can I use it without coding?
With some setup. You install it and connect it to your AI assistant by typing a few commands in a terminal. New to this? Start here.
Can I run it?
- Cost
- FreeNothing to pay or sign up for.
- Runs on
- Mac, Windows, Linux
- Computer
- An ordinary computer is fine
- Privacy
- Runs on your own device: your data stays with you
- API key
- Not needed
Try it
- Install the CodeGraph command-line tool using the one-line installer for your system (Mac, Linux or Windows).
- Open a new terminal and run CodeGraph's install command to connect it to the AI coding assistants you use.
Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?
Before you install
- Only download from the official GitHub page. Copies with similar names exist for many popular projects.
- Plain-AyI is an independent guide and doesn't host or review the software it lists. Please check each project's official page before installing.
- License (MIT): Very permissive: free to use, change and share, including for business.
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