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.
Local knowledge graph for Claude Code. Builds a persistent map of your codebase so Claud…
code review graph Stop burning tokens. Start reviewing smarter. It has reached 17,370 GitHub stars, written primarily in Python.
Why now: Recent coverage — "GitHub - tirth8205/code-review-graph" — alongside renewed developer interest is driving current visibility.
Considerations: At roughly 3 months old, it's early — the architecture and maintenance cadence haven't been battle-tested yet.
EARLY MOMENTUM · Research: Adoption is real but cross-source confirmation is thin — a short hands-on trial (Python) will tell you more than the metrics.
Sources: tirth8205/code-review-graph on GitHub · Project homepage · code-review-graph - MCP Servers on GitHub (17.3k ) | SkillsLLM · Graphify + code-review-graph: Build a Self-Updating Knowledge ...
Methodology: synthesized from this project's own documentation, live GitHub data, third-party coverage, and multi-platform signal convergence — by AISO.tools.
git clone https://github.com/tirth8205/code-review-graph.gitThen follow the README in the cloned directory.
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