⬢github Python · 131.3K ★ +1.9K since we first saw it · pushed 3 h ago · Apache-2.0
Graphify-Labs/graphify
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
Graphify turns a codebase—including docs, SQL schemas, configs, and PDFs—into a queryable knowledge graph. It ships as a /graphify skill for AI coding agents like Claude Code, Cursor, Codex, and Gemini CLI, using local deterministic AST parsing (tree-sitter) instead of a vector store, so every graph edge is explainable.
Why now: It's trending with a very high star count and a Trendshift badge, likely driven by interest in graph-based RAG (GraphRAG) as an alternative to vector embeddings for code understanding.
Who it is for: Developers using AI coding agents who want reliable, explainable codebase-wide context and code search.
ai-agentsantigravityastclaude-codecode-analysiscode-searchcodexcursordeveloper-toolsgemini
Stars over our 122 snapshots: 129.5K to 131.3K, since 1 d ago.
Where people talked about it
- ⬢github Graphify-Labs/graphify 14 min ago
API: https://socialmediatrends-api.osmike.com/v1/repos/Graphify-Labs/graphify