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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. observed · 2026-10-15

github.com/Graphify-Labs/graphify · homepage · Python · Apache-2.0 (permissive) observed · 2026-10-15

Health v2 · maintenance only

78/100

  • Activity 99
  • Release rhythm 87
  • Longevity 14
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 0.0
  • age_days: 200
  • days_rel: 6
  • days_push: 6
  • n_releases_24m: 237

Full methodology

Adoption not part of the score

126575 stars · 12214 forks observed · 2026-10-15

What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-21, confidence 0.97

Graphify is a Python package and CLI that turns a codebase, its documentation, and data files into a local, queryable knowledge graph. It works with many AI coding assistants by providing a /graphify skill that lets the assistant traverse the graph instead of grepping files.

Use cases

  • Generate a searchable knowledge graph of a repository for AI code assistants
  • Query relationships between functions, services, and database schemas without leaving the local machine
  • Create an on‑device code map that can be exported to Neo4j or Obsidian
  • Replace fuzzy vector search with deterministic AST‑based graph traversal
  • Audit AI‑generated answers by tracing them back to exact file:line citations

When to choose

  • You need deterministic, auditable answers from an AI assistant that reference real code paths
  • Your project contains multiple languages, docs, PDFs, or SQL schemas and you want a unified view
  • You prefer an on‑device solution with no telemetry or external vector store

When to avoid

  • You require a cloud‑hosted, fully managed vector database for large‑scale semantic search
  • Your workflow depends on real‑time streaming updates that exceed the tool’s incremental rebuild capabilities
  • You need a GUI‑only solution without a command‑line interface

Facets

cli-tool · maturity active

parser cli search-engine artificial-intelligence developer-tools python cli cross-platform knowledge-graph on-device ast-parsing tree-sitter mcp open-source code

10 sources

Member repositories

RepositoryRoleHealth v2
Graphify-Labs/graphifymain78

For agents

markdown · JSON · MCP: product_card(name="Graphify-Labs/graphify")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem