tirth8205/code-review-graph

Health v2 · maintenance only

Adoption not part of the score

30891 stars · 2809 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A local-first code intelligence tool that builds a persistent knowledge graph of a codebase using Tree-sitter static analysis, exposed via MCP and a CLI. It lets AI coding assistants retrieve only relevant code context, reducing token usage in code review and large-repo workflows.

Use cases

• reduce token usage when AI tools review my code
• give Claude Code precise context from a large repo
• build a persistent code knowledge graph locally
• index my codebase incrementally for AI assistants
• serve code context to AI tools over MCP
• static analysis map of functions and dependencies for LLMs

When to choose

• you use MCP-compatible AI coding tools (e.g. Claude Code) on large repositories
• you want local-first, private code indexing without sending code to a cloud service
• you need token-efficient code review or context retrieval

When to avoid

• you need deep semantic or runtime analysis rather than structural parsing
• your project is small enough that full-file context is cheap
• you need an IDE-native indexing solution instead of MCP/CLI

Facets

cli-tool · maturity active

mcp parser linter search-engine cli developer-tools developer-tools large-language-models version-control apis python cli cross-platform code-review knowledge-graph tree-sitter token-efficiency ai-coding local-first graphrag incremental-indexing ai-agents

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