Pilot it+3.8k this week30,937 · 2,815 forks

Local code intelligence graph for AI coding tools

Worth a timeboxed spike before you bet on it.

Who it's for

Small teams with large codebases and AI tooling

What it replaces

Manual code review and mapping processes

The catch

Steep learning curve and potential performance overhead

Your first hour

Clone the repository and run the demo script locally

The numbers

Stars30,937
Forks2,815
Stars added (7d)+3.8k
Open issues116
LanguagePython
LicenceMIT
Last pushUpdated today
Project age6 months old

Maintainers describe it as: 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.

ai-codingclaudeclaude-codecode-reviewgraphragincrementalknowledge-graphllmmcppython

code-review-graph, in short

Should a small team use code-review-graph?
Pilot it. Worth a timeboxed spike before you bet on it. Small teams with large codebases and AI tooling
What does code-review-graph actually do?
Local code intelligence graph for AI coding tools
What does code-review-graph replace?
Manual code review and mapping processes
What is the downside of code-review-graph?
Steep learning curve and potential performance overhead
Can code-review-graph be used in a commercial product?
Its licence is MIT, which is permissive and generally fine for commercial use. Confirm against the LICENSE file in the repository.

Weighed against

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Stars, forks, licence and last-push data from the public GitHub API, refreshed August 28, 2026. The verdict is NoizeOff's editorial opinion for a team of 2–20, not advice from the project's maintainers, and not legal advice on licensing. We are not affiliated with tirth8205.

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