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tirth8205/code-review-graph

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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. observed · 2026-10-01

github.com/tirth8205/code-review-graph · homepage · Python · MIT (permissive) observed · 2026-10-01

Health v2 · maintenance only

79/100

  • Activity 95
  • Release rhythm 95
  • Longevity 16
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 2
  • age_days: 236
  • days_rel: 32
  • days_push: 32
  • n_releases_24m: 30

Full methodology

Adoption not part of the score

31880 stars · 2916 forks observed · 2026-10-01

What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-05, confidence 0.97

code-review-graph is a Python library that builds a local, incremental knowledge graph of a codebase using Tree-sitter. It serves compact, token‑efficient context to LLM‑based coding assistants via the Model Context Protocol (MCP).

Use cases

  • Reduce token usage when reviewing code changes with AI assistants.
  • Provide precise, relevant code context to LLMs for large repositories.
  • Incrementally update a code knowledge graph as the codebase evolves.
  • Enable token‑efficient code reviews in CI pipelines using MCP.
  • Supply compact context for AI‑driven code suggestions in IDEs.

When to choose

  • When you need token‑efficient context for LLM‑based code review tools.
  • If you work with large codebases and want incremental indexing.
  • When you use the Model Context Protocol (MCP) to feed AI models.

When to avoid

  • If you are not using MCP or an LLM that accepts external context.
  • For very small projects where the overhead of a knowledge graph is unnecessary.
  • When you require a full‑featured IDE integration rather than a CLI/library solution.

Facets

library · maturity active

parser cli artificial-intelligence developer-tools python cli mcp tree-sitter token-efficiency code-intelligence incremental-indexing knowledge-graph

3 sources

Member repositories

RepositoryRoleHealth v2
tirth8205/code-review-graphmain79

For agents

markdown · JSON · MCP: product_card(name="tirth8205/code-review-graph")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem