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Graphify: Map a codebase and its docs into a graph you can query

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An add-on for AI coding assistants that maps code, docs, PDFs and images into a graph you can ask questions about instead of searching files.

What it does

Graphify reads a project and builds a knowledge graph: a map where each node is a concept and links show how things connect, such as which code calls or imports other code. The source says code is parsed locally with tree-sitter (a tool that reads code structure) with no AI model, and nothing leaves your machine. Docs, PDFs, images and video go through your assistant's model for a semantic pass. Each link is tagged EXTRACTED (stated in the source) or INFERRED (worked out by graphify), so you can see what was read directly.

How to use it

Input: a project folder with code and optional docs. Action: install it, then type /graphify in your AI coding assistant. Output: a persisted graph (the source says you get three files, including an interactive graph.html) that you can query. You can ask a plain-language question, trace the path between two things, or ask it to explain one concept.

Common use cases

  • Ask a plain-language question about a codebase and get back the related part of the graph.
  • Trace how two pieces of code connect instead of reading files one by one.
  • Add docs, PDFs, images or video to the same graph as the code.

Can I use this?

Setup details on the source page

Requirements Needs Python 3.10+ and uv (or pipx). Install it, then run it from a supported assistant; the source lists Claude Code, Cursor, Codex, Gemini CLI, GitHub Copilot and 20+ more, on macOS, Linux and Windows. The license is Apache-2.0. An API key is only needed if you configure a backend for the docs and media pass.

Caveat The source also promotes a separate hosted Graphify Cloud with a free 14 day trial; the local tool is described separately. Benchmark figures on the page are the project's own claims.

Worth knowing Docs, PDFs, images and video use your assistant's model or a configured API key for a semantic pass; only code parsing is fully local.

Why it's here

  • 4,147 people starred it on GitHub this week — 144,253 in total.

Numbers as of 8 November 2026, from BuildTube’s latest daily refresh.

Behind it

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BuildTube has not run or verified this project. Everything above is written from what the creator published.

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Quick questions

What is Graphify?
Graphify reads a project and builds a knowledge graph: a map where each node is a concept and links show how things connect, such as which code calls or imports other code.
What can I use Graphify for?
Ask a plain-language question about a codebase and get back the related part of the graph; Trace how two pieces of code connect instead of reading files one by one; Add docs, PDFs, images or video to the same graph as the code
Can I run Graphify on my computer?
Graphify runs on your own computer: install it with Python 3.10 or newer and uv (or pipx), then use it from a supported AI coding assistant on macOS, Linux or Windows. Install it, then run it from a supported assistant; the source lists Claude Code, Cursor, Codex, Gemini CLI, GitHub Copilot and 20+ more, on macOS, Linux and Windows.
What do I need to use Graphify?
Python 3.10+ and uv (or pipx), plus a supported AI coding assistant such as Claude Code, Cursor, Codex, Gemini CLI or GitHub Copilot.
What license does Graphify use?
The license is Apache-2.0.

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