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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

Original project link

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

Original project link

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.