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crg
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crg

Active·★ 76·Apache-2.0·Updated 2026-10-21

`crg` (formerly `better-code-review-graph`) is a local-first knowledge graph tool for codebases, enabling token-efficient code reviews through semantic search, call-graph resolution, and structural analysis. It integrates with AI agents via MCP for precise context provision, leveraging local ONNX embeddings or cloud models for enhanced code understanding and security scanning.

#Knowledge Graph#Code Review#Semantic Search#Call Graph#Static Analysis#Code Intelligence
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Guides
#LLM Context
#Security Scan
$ Install
$ pip install better-code-review-graph
↗ Visit site★ GitHub
01

Features

01AND-logic multi-word search for code entities
02Qualified call graph resolution and bare fallback
03Dual-mode fastretrieval ONNX and cloud embeddings (Jina/Gemini/OpenAI/Cohere)
04Paginated and truncated output for large search results
05Integrated security scanning with Semgrep and heuristic rules
02

Compatibility

Python
Runtime
Verified via docs
MCP
Protocol
Verified via docs
Tree-sitter
Parser
Verified via docs
fastretrieval
Embedding Engine
Verified via docs
03

Quick start

1
$ pip install better-code-review-graph
04

Use cases

↳Performing token-efficient code reviews with precise context for AI agents
↳Conducting semantic search and call-graph resolution across a codebase
↳Analyzing the blast radius and impact of changed files within a repository
↳Running local security scans on code using heuristic rules or Semgrep engine
↳Onboarding new repositories and quickly understanding code structure and relationships
05

Alternatives

⚡Top VS:
VSknowledge-graph-system★129→VSdocs-mcp-server★1.8k→VSsymgraph★16→VS

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n24q02m /
crg
↗

Knowledge graph for token-efficient code reviews -- semantic search and call-graph resolution across your codebase.

76Apache-2.0
Last commit1d ago
StatusActive
CategoryRAG / Knowledge Base
Links
Documentation↗Discussion↗Issues↗Releases↗
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