code-graph-rag
code-graph-rag builds a knowledge graph of a codebase so an AI assistant can query, understand, and edit it more accurately.
View vitali87/code-graph-rag on GitHub- GitHub stars
- 5,354
- Forks
- —
- Language
- Python
Project details
- Repository
- vitali87/code-graph-rag
- Licence
- MIT
- Primary language
- Python
- Catalog status
- Available
- Catalog check
- 2026-11-13
Repository description
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
Explore by topic
More tools in Knowledge & documents
- graphify
graphify-labs · Apache-2.0
Turns any codebase, plus its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph that AI coding agents like Claude Code, Cursor, Codex, and Gemini…
- codebase-memory-mcp
deusdata · MIT
An MCP server that indexes an entire codebase into a queryable knowledge graph in milliseconds, so AI coding agents can answer structural questions using ~120x fewer…
- graphicle
graphicle-ai · Apache-2.0
Maps your codebase into a local graph and remembers your project's docs and past agent sessions, so your coding agent gets cited file-and-line answers instead of…
- headroom
headroomlabs-ai · Apache-2.0
Headroom shrinks everything an AI agent reads (logs, files, RAG chunks, tool output) before sending it to the LLM, cutting token costs without changing the answers.
