code-graph-rag

Parses a polyglot monorepo with Tree-sitter into a Memgraph knowledge graph: query it in plain English (NL→Cypher), trace data flow, find dead code, edit via AST-surgical patches.

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Curator's take

Deepest of the code-graph tools: not just retrieval — NL→Cypher querying, FLOWS_TO taint tracing across C#/Java/C/Go, dead-code walks from entry points, ast-grep structural search-and-replace, and AST-surgical editing with diff preview, all over mixed languages in one schema. The price is infrastructure: you run Memgraph plus Python tooling. If you only want fast agent context, codebase-memory-mcp (ms indexing, single static binary) or cocoindex-code are far lighter; reach for this when agents need to *query and rewrite* structure, not just find it.

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README.md

Code-Graph-RAG

Code-Graph-RAG parses a multi-language codebase with Tree-sitter, builds a knowledge graph of its structure in Memgraph, and lets you query, edit, and optimise that code in plain English. It works across a monorepo of mixed languages under one unified graph schema.

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Latest News 🔥

Ruby Support: Ruby joins the graph through a new pluggable ast-grep tier that adds a language from a single YAML pattern file, emitting Module, Function, an

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What teams reach for next — and why each earns a place beside code-graph-rag. Ranked by curator confidence.

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codegraph-mcp

No-train, on-prem code knowledge graph served to AI agents over MCP — symbols, call edges, cross-language links and blast-radius queries, with a hash-chained audit log of every read.

Why it fitsBoth build code knowledge graphs for AI agents. codegraph-mcp is a read-side, on-prem MCP service with audit logging; code-graph-rag adds NL→Cypher queries, data-flow tracing and AST-based editing on Memgraph. Compliance-friendly retrieval vs full query-and-rewrite.

codebase-memory-mcp

Code intelligence MCP in pure C: tree-sitter knowledge graph over 158 languages, average repo indexed in milliseconds, sub-ms queries, 10x fewer tokens. Single static binary, zero deps.

Why it fitsSame tree-sitter-graph idea at opposite weights: codebase-memory-mcp is a single static C binary indexing 158 languages in milliseconds for cheap agent queries; code-graph-rag runs Memgraph to buy Cypher, taint edges and structural rewriting. Speed and zero deps vs analysis depth.

cocoindex-code

AST-based semantic code search for coding agents: pipx install, zero config, local embeddings out of the box — a CLI/skill/MCP that cuts agent context ~70% vs grepping. Built on CocoIndex.

Why it fitsTwo shapes of code retrieval for agents: cocoindex-code does AST-aware semantic search with local embeddings (pipx install, zero infra); code-graph-rag builds an explicit relationship graph you can walk and mutate. Search-and-read → cocoindex; structure queries and edits → this.