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GR

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.

95k Stars9.2k Forks625 Open Issues95k WatchersPythonApache-2.0
AI AgentLLM ToolData ToolMCP ServerDeveloper Tool
Review Readiness

This repository page has enough original analysis, source evidence, and comparison context to be treated as an indexable Git-Stars review.

100

review score

Indexable review
Decision Snapshot

Problem solved

It addresses the problem of navigating large, unfamiliar codebases by building a structured graph of concepts and relationships. Instead of reading files or relying on fuzzy vector search, developers can query the graph for paths, explanations, and connections, which is especially useful for AI agents that need precise context.

Deployment reality

The available setup signal starts with: uv tool install graphifyy. Treat this as a starting point, then ask Codex or Claude to inspect the README, environment variables, runtime version, and deployment target before production use.

Commercial use

The recorded license is Apache-2.0. This is a useful commercial-use signal, but teams should still verify license text, dependencies, model/API terms, and trademark constraints.

Capability ceiling

The core capability is local, deterministic code parsing via tree-sitter, producing a graph with explained edges (EXTRACTED vs INFERRED). It outputs interactive HTML, a markdown report, and JSON for querying. It supports multiple AI assistants and file types (docs, PDFs, images) via a semantic pass. Limitations include reliance on tree-sitter grammar coverage for less common languages, and the semantic pass for non-code files requires an LLM, which may not be fully local.

Source and compliance noteLast synced: Aug 15, 2026

Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.

Original GitHub sourceMethodologyEditorial Policy
Editorial Evaluation

Graphify-Labs/graphify is tracked as a Python project in the AI Agent, LLM Tool, Data Tool, MCP Server, Developer Tool area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.

Momentum check: the repository has 95k total stars, with +0 today, +6.0k this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.

Maintenance check: current activity is Moderate; the latest push was 83 days ago, and the open issue queue is 625, about 0.66% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.

Adoption check: 9.2k forks and 95k watchers suggest how often the project is reused or followed. License signal: Apache-2.0. Always verify license compatibility before commercial or internal use.

Practical fit: this project is most relevant when you need AI prototypes, LLM workflows, and agent-style applications. Be cautious when you need a legal review, security audit, or production SLA.

Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 6.0k. Follow the original GitHub repository for final install, security, and release information.

Evidence Checklist

Analysis

Ready

Original problem, capability, and verdict guidance are available.

Sources

Ready

Repository metadata and README/source references are attached.

License

Ready

Apache-2.0 is recorded for review.

Maintenance

Ready

Recent activity is visible in repository metadata.

Alternatives

Ready

Enough nearby projects exist for comparison.

Best For
  • AI prototypes, LLM workflows, and agent-style applications
  • developer workflow automation and command-line tooling
  • Python teams evaluating ecosystem-native tooling
  • teams that prefer mature projects with broad adoption signals
Avoid When
  • you need a legal review, security audit, or production SLA
Adoption Signals

Momentum

95k Stars

Reuse

9.2k Forks

Attention

95k Watchers

Maintenance

moderate

License

Apache-2.0

Open issues

625

Overview

Graphify is a tool that maps an entire codebase into a knowledge graph using tree-sitter AST parsing, allowing developers to query their project structure instead of grepping through files. It generates interactive HTML reports, markdown summaries, and a queryable JSON graph, with every edge tagged as EXTRACTED or INFERRED for transparency.

Key Features

- Fully local code mapping with tree-sitter AST (no LLM, no data leaves machine)\n- Every edge tagged as EXTRACTED or INFERRED for confidence\n- Generates graph.html, GRAPH_REPORT.md, and graph.json for interactive exploration and querying

Tool Positioning

AI Agent

Agent frameworks, autonomous workflows, and tool-use systems

LLM Tool

Libraries and tools for LLM apps, RAG, prompts, and evals

Data Tool

Databases, data pipelines, ETL, analytics, and vector search

MCP Server

Model Context Protocol servers, clients, and integrations

Developer Tool

Tools that improve coding, testing, build, and local workflow

Quick Start
uv tool install graphifyy
View on GitHub Project Homepage
Project Activity

80

Health Score

Moderate

Commit Activity

Apr 3, 2026

Created

Jul 22, 2026

Last push

Source Trail

GitHub repository metadata

metadata

GitHub README

readme_summary

Star History

Star history will appear after daily syncs accumulate data.

Community Health
9.2k

Forks

625

Open

95k

Watchers

Owner
GR

Graphify-Labs

GitHub profile
Topics & Language
Pythonai-agentsantigravityastclaude-codecode-analysiscode-searchcodexcursordeveloper-toolsgeminigraphragknowledge-graphleidenllmmcpopenclawragskillstree-sitter
Ecosystem & Usage
GitHub Repository Project Website
Alternatives & Comparison

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Master programming by recreating your favorite technologies from scratch.

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A collective list of free APIs

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freeCodeCamp/freeCodeCamp

freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.

454k

openclaw/openclaw

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

386k

nilbuild/developer-roadmap

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

365k
License
Apache-2.0
CreatedApr 3, 2026
Last pushJul 22, 2026
Last syncedAug 15, 2026
Repository Standards

✓

License

✓

Forked

~ Moderate

Maintained