Codebase Memory MCP
Gives your coding agent a local, searchable map of your code, docs and infrastructure
by Martin Vogel
Graphify
by Graphify LabsCLI toolWrite code
Maps a codebase and its docs into a knowledge graph you can ask questions of
About Graphify
Graphify turns a project folder, with its code, docs, PDFs and images, into a knowledge graph you can open in a browser and query from your AI coding assistant.
For DevelopersAI coding assistant usersTeams new to a codebase
Made by Graphify Labs
Graphify Labs is a GitHub organization that publishes Graphify under Apache-2.0; its README links a hosted service called Graphify Cloud.
- Stars
- ★ 144k
- License
- Apache-2.0
- Cost
- Usage-based
- Platforms
- Mac · Win · Linux
- Level
- Advanced
Screenshots
From the project's own repository.
Overview
Graphify adds a /graphify command to your AI coding assistant. Run it on a project and it maps code, docs, PDFs and images into a knowledge graph: an interactive graph.html, a short report of key concepts and surprising connections, and a graph.json you can query later instead of searching files. Code is parsed on your machine without a model; docs and images use your assistant's model or an API key you set. Each connection is labelled as read from the source or inferred.
Each connection in the graph is tagged as read directly from the source or inferred, so you can see what the tool guessed.
Try these first
Start with the first one: it is a small task you can check easily.
- /graphify . Map this project, then tell me the five key concepts from GRAPH_REPORT.md.First try · writes graphify-out
- /graphify explain "[concept]"read-only
- /graphify path "[concept A]" "[concept B]"read-only
- graphify extract . --code-onlyterminal, code only
Example prompts written by Agent Flows Hub.
Features
From the creator's documentation.
| Feature | What it does | Runs |
|---|---|---|
| Graph view | Writes graph.html, an interactive map you can click, filter and search | Your computer |
| Report | Writes GRAPH_REPORT.md with key concepts, surprising connections and suggested questions | Your computer |
| Local code parsing | Parses code with tree-sitter on your machine, with no model call | Your computer |
| Explained edges | Tags each connection as read from the source or inferred | Your computer |
| Docs and images | Sends docs, PDFs and images to your assistant's model or a configured API key | Your model provider |
| Many assistants | graphify install copies a skill and registers it in your assistant's instruction file; some assistants also get hooks | Your assistant settings |
Good to know
Understand a project you did not write, or one you wrote long ago. Graphify turns the folder into a graph you can open in a browser, then answers questions such as the path between two concepts without re-reading every file.
Limits
- Installing needs Python 3.10 or newer and uv or pipx; the package name on PyPI is graphifyy, with two y letters.
- Code maps stay free and local. Docs, PDFs and images are sent to your assistant's model or to the API provider you configure, so those runs use your own model or key.
- graphify install writes a skill file and instruction entries into your assistant's settings; some assistants also get hooks.
- The README also advertises Graphify Cloud, a separate hosted service with a free 14-day trial; the open-source tool does not need it.
Notes by Agent Flows Hub (original project name: graphify), written from the creator's documentation, not from running it ourselves. Graphify README · Graphify documentation · Graphify quickstart
Stuck setting it up?
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