Code Graph RAG
Graph-based RAG system that parses multi-language codebases using Tree-sitter, builds knowledge graphs in Memgraph, and enables natural language queries about code structure and relationships. Supports parsing 11+ languages, AI-powered Cypher query generation, surgical code editing with AST targeting, shell command execution, and real-time graph updates via file watching. Includes an MCP server for Claude Code integration.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Code graph RAG MCP. Indexes source code for retrieval. Source code may be proprietary — ensure self-hosted or privacy-compliant deployment. Graph may expose architectural secrets.
⚡ Reliability
Best When
You have a large multi-language codebase and want AI-powered structural understanding, natural language code search, and graph-based relationship analysis.
Avoid When
You have a small codebase where grep/IDE search suffices, or you cannot run Docker (required for Memgraph).
Use Cases
- • Natural language querying of large monorepo codebases
- • Understanding code structure, function relationships, and call graphs
- • AI-assisted code navigation and exploration across multiple languages
- • Surgical code editing with AST-aware diff previews
- • Onboarding to unfamiliar codebases by querying architecture semantically
Not For
- • Simple single-file code analysis (overkill)
- • Runtime performance profiling or debugging
- • Non-code document RAG (focused specifically on source code)
Interface
Authentication
Requires API key for cloud LLM providers (OpenAI, Google Gemini). Can run fully locally with Ollama (no auth needed). Configured via .env file.
Pricing
MIT licensed. LLM API costs depend on chosen provider. Fully local operation possible with Ollama (zero cost). Enterprise support available via code-graph-rag.com.
Agent Metadata
Known Gotchas
- ⚠ Requires Docker running for Memgraph - cannot work without it
- ⚠ Python 3.12+ required with cmake for building pymgclient
- ⚠ Real-time updater recalculates all CALLS relationships on any file change (performance concern on large repos)
- ⚠ Shell command execution tool poses security risks if not sandboxed
- ⚠ Some language parsers (C#, Go, PHP, Scala) are still in development
- ⚠ Local LLM models produce lower accuracy Cypher queries than cloud providers
Alternatives
Full Evaluation Report
Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for Code Graph RAG.
Scores are editorial opinions as of 2026-03-06.