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Vitali Avagyan avatar

Code-Graph-RAG

Maps a codebase into a knowledge graph to query and edit in plain English

  • Developer tools
  • Agent frameworks and tools
  • AI coding agents
View on GitHub
Website

What it is

Code-Graph-RAG parses repositories in many languages with Tree-sitter, stores functions, classes, modules and their relationships in a graph (embedded SQLite by default, or Memgraph and Neo4j), and turns natural-language questions into Cypher queries. Its CLI agent can retrieve source, patch code with diff previews, find dead code, and merge runtime traces into the graph. It also runs as an MCP server. Developers working in large mixed-language monorepos use it to navigate and change code with answers grounded in the actual structure.

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Facts

Stars
5,269 GitHub stars.
5,269

Forks
701
Commits
10,418
Contributors
67
Language
Python
License
MIT
Last commit
Oct 20, 2026
On GitHub since
June 2025
First release
February 2026
Platforms
macOS, Windows, Linux, CLI
Self-hostable
No
Alternative to
Sourcegraph Cody
Author
Vitali Avagyan
Tags
  • static-analysis
  • mcp-server
  • semantic-search
  • rag
  • knowledge-graph
  • code-intelligence

Last synced from GitHub on Oct 20, 2026

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