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 a local-first code intelligence graph that builds a persistent structural map of a codebase and supplies relevant context to AI coding tools through MCP and a CLI. It is used for code review and large-repository workflows, with catalogue add-ons providing integrations and instructions for operating it.
This repository also configures its own agents. See what code-review-graph tells them →
Skill Claude Code
Build or update the code review knowledge graph. Run this first to initialize, or let hooks keep it updated automatically.
Skill Claude CodeCodex
Systematically debug issues using graph-powered code navigation.
Skill Claude CodeCodex
Navigate and understand codebase structure using the knowledge graph.
Skill Claude CodeCodex
Plan and execute safe refactoring using dependency analysis.
Skill Claude CodeCodex
Perform a structured code review using change detection and impact.
Skill Claude Code
Review only changes since last commit using impact analysis. Token-efficient delta review with automatic blast-radius detection.
Skill Claude Code
Review a PR or branch diff using the knowledge graph for full structural context. Outputs a structured review with blast-radius analysis.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: