code-graph-rag vs claude-historian-mcp
code-graph-rag: Code-Graph-RAG is an accurate Retrieval-Augmented Generation (RAG) system designed for multi-language codebases. It uses Tree-sitter to analyze code, build comprehensive knowledge graphs, and allows natural language querying of codebase structure and relationships. The system also includes advanced editing capabilities, enabling users to modify code directly through natural language prompts.; claude-historian-mcp: claude-historian-mcp is an MCP server that gives Claude access to your conversation history locally. It provides two tools (search and inspect) with 11 scopes, zero dependencies, and runs completely offline. It helps find past solutions, track file changes, and learn from previous work without burning tokens on idle.
TL;DR
- You want to parse a multi-language monorepo with Tree-sitter into a Memgraph knowledge graph and query or edit it via natural language or Claude Code MCP.
- You want semantic code search using UniXcoder embeddings paired with Cypher graph queries.
- You want RAG over PDFs, Word files, and slides rather than source code repositories; use RAGFlow or MaxKB.
- You want a zero-dependency code context MCP server without running Docker and Memgraph; jCodeMunch or Context7 are much lighter.
Quickly find past solutions and fixes for current development problems
Side-by-Side Comparison
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