Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.
Create a detailed map of your codebase to help AI tools focus on what's important during reviews.
pip install code-review-graph # or: pipx install code-review-graph code-review-graph install # auto-detects and configures all supported platforms code-review-graph build # parse y

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Free · no card · unsubscribe anytimeLocal-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.
code-review-graph has 31k stars on GitHub. It has been forked 2.8k times. code-review-graph is written mainly in Python. It has been in active development since 2026. code-review-graph is available under the MIT license. Its main topics are ai-coding, claude, claude-code, code-review.
Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.
code-review-graph is an open-source project. It is released under the MIT license.
Yes. code-review-graph is free and open source — you can use, modify and self-host it.
code-review-graph is available under the MIT license.
code-review-graph is written mainly in Python.
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