Code Review Graph
Local knowledge graph for Claude Code. Builds a persistent map of your codebase so Claude reads only what matters — 6.8× fewer tokens on reviews and up to 49× on daily coding tasks.
At a glance.
A compact read before the deeper capability notes and official setup links.
Core features.
Feature cards focus on what the tool helps users do, not generated setup commands.
AI coding tools re-read your entire codebase on every task.
code-review-graph fixes that.
It builds a structural map of your code with Tree-sitter, tracks changes incrementally, and gives your AI assistant precise context via MCP so it reads only what matters.
Restart your editor/tool after installing.
The graph cuts through the noise — 27,700+ files excluded from review context, only ~15 files actually read.
All numbers come from the automated evaluation runner against 6 real open-source repositories (13 commits total).
Reproduce with code-review-graph eval --all.
Why express shows <1x: For single-file changes in small packages, the graph context (metadata, edges, review guidance) can exceed the raw file size.
Agent / Skill / MCP / Workflow fit.
This panel keeps technical format separate from the user-facing AI category.
Official setup path.
Generated install snippets are intentionally not mirrored here because they drift. The page links to source-owned setup docs instead.
Evidence and adoption notes.
These notes help a user decide whether to investigate the official project further.
Source repository last pushed at 2026-05-16T13:11:25Z.
Generated from source metadata; confirm operational details in the official project before adopting it.
Review the upstream license, maintenance activity, and issue history before using it in production.