Graphify-Labs/graphify vs vitali87/code-graph-rag
Compare Graphify-Labs/graphify and vitali87/code-graph-rag using the current verified snapshot: positioning, license, deployment, use cases, limitations, and original sources.
Graphify-Labs/graphify
Graphify turns a folder of code or documentation into a queryable knowledge graph using deterministic tree-sitter AST parsing across approximately 40 languages without requiring LLM calls. It generates graph files for local analysis and exposes the data through a Model Context Protocol (MCP) server or browser-based visualizations.
- License
- Apache-2.0
- Deployment
- Refer to project documentation
- Use cases
- Knowledge Q&A · Coding & Development
- Updated
- 2026-07-17T04:45:52Z
vitali87/code-graph-rag
This project parses multi-language codebases into a Memgraph knowledge graph using Tree-sitter, enabling developers to query, edit, and analyze code through natural language and AST patterns. It operates as an interactive CLI or MCP server and requires external services including Docker, a graph database, a vector database, and an AI model.
- License
- MIT
- Deployment
- Refer to project documentation
- Use cases
- Knowledge Q&A · Search & Research · Coding & Development
- Updated
- 2026-07-26T11:07:55Z
How to choose
First eliminate options that fail required deployment, license, or use-case constraints; then inspect each detail page for limitations and direct evidence.