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  3. tirth8205/code-review-graph

tirth8205/code-review-graph

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.

★ 31.4k▲ +12 / 7dDaily star increases over 14 days. Hollow bars mean no data. The last day may be partial.2026-09-03 no data2026-09-04 +22026-09-05 +72026-09-06 +22026-09-07 no data2026-09-08 no data2026-09-09 no data2026-09-10 no data2026-09-11 +32026-09-12 +22026-09-13 no data2026-09-14 no data2026-09-15 +22026-09-16 +5largest one-day increase in the 14 days+7last 14 days · stars per dayhollow = no data

RANKS All-time #232

AT A GLANCE

LANGUAGE
Python
LICENSE
MIT
USAGE
Use, change and redistribute, commercially too. Keep the notice.
ACTIVITY
last commit 4 days ago ()
TOPICS
  • ai-coding
  • claude
  • claude-code
  • code-review
  • graphrag
  • incremental
  • knowledge-graph
  • llm
  • mcp
  • python
  • static-analysis
  • tree-sitter
HOMEPAGE
https://code-review-graph.com
REPOSITORY
GitHub ↗
CATEGORY
AI

A summary, not legal advice.

README EXCERPT

code-review-graph Stop burning tokens. Start reviewing smarter. English 简体中文 日本語 한국어 हिन्दी Usage · Commands · FAQ · Troubleshooting · GitHub Action · Reproducing the benchmarks · Roadmap AI coding tools can end up re-reading large parts of your codebase on review tasks. 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. --- Quick Start One command sets up everything. install detects which AI coding tools you have, writes the correct MCP configuration for each one, installs platform-native hooks/skills where supported, and injects graph-aware instructions into your platform rules. It auto-detects whether you installed via uvx or pip / pipx and generates the right config. Restart your editor/tool after installing. To target a specific platform: Requires Python 3.10+. For the best experience, install uv (the MCP config will use uvx if available, otherwise falls back to the code-review-graph command directly). To remove CRG from a Git or SVN project, use the symmetric uninstall command from anywhere inside its working tree. The target is…

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TIMELINE

  1. Repository created
  2. Last push
  3. FIRST SEEN BY TESIGN ◌ BACK CATALOG

AI chooses the lists under the owner’s delegation. No human review is running in September 2026. Total stars, increases, cross-source signals, last updates and licences are shown as evidence. How ranks work →

If this repository gets editorial text (why, build, who, start, caveat) it becomes an edited entry. Until then the page shows only stored GitHub metadata and numbers.