code-review-graph
Builds a local map of your codebase so AI coding tools read only the relevant parts. It aims to cut the context needed for code reviews and work in large repositories.
Pick a small issue you can reproduce, then fix it with your AI coding agent.
Share on XLicense: MIT
Overview
code-review-graph builds a local knowledge graph of your codebase using Tree-sitter, keeps it updated incrementally, and serves compact context over MCP. The aim is that an AI coding assistant reads only the files a change touches instead of re-reading large parts of the repo. A CLI command detects the AI tools you have installed and configures each one.
Key features
- Parses code into a structural graph with Tree-sitter
- Incremental updates as the code changes
- Serves compact review context over MCP
- One install command configures detected AI coding tools
Best for
Developers using AI coding tools on large repositories who want reviews to use less context. It installs with pip or pipx and runs entirely on your machine.
- Upstream
- tirth8205/code-review-graph
- Fork on GitHub
- Guo-astro/code-review-graph
- Upstream stars
- 32k
- Category
- AI agents and LLM tools
- Language
- Python
- License
- MIT
- Forked
- 2026-03-19
- Sync status
- Diverged from upstreamLast synced 2026-10-15
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