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[GitHub Trending] Graphify-Labs/graphify

8.4 relevance
Score Breakdown
technical depth
8
novelty
9
actionability
9
community
8
strategic
6
personal
10

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AI coding assistant skill to query code and data, highly relevant and novel.

AI/ML github.com
AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a querya...
Summary

Graphify-Labs/graphify uses tree-sitter AST to build a deterministic, local-first knowledge graph from code, docs, and media, queryable via /graphify in AI assistants like Claude Code and Cursor. Every edge carries EXTRACTED or INFERRED confidence tags, and the graph supports query, path, and explain commands without embeddings or vector stores. Benchmarks on LOCOMO and LongMemEval show it achieves 0.497 recall@10 and 76% QA accuracy, outperforming mem0 and supermemory while using zero LLM credits for code parsing.

Author

Graphify-Labs