head to head · open source

graphify vs Agent-Reach

graphify has 118,991 GitHub stars, 11,505 forks, 1,350 open issues and last shipped 2 days ago. Agent-Reach has 82,763 stars, 7,236 forks, 137 open issues and last shipped 3 days ago. graphify leads on adoption by 44% (118,991 vs 82,763 stars). graphify is written in Python under Apache-2.0; Agent-Reach is written in Python under MIT. graphify has attracted 10% as many forks as stars, Agent-Reach 9%. graphify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (claude-code, cursor), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

graphify ★ 119K Agent-Reach ★ 83K category AI & Machine Learning

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Side by side

graphify Agent-Reach
GitHub stars ★ 119K ★ 83K
License Apache-2.0 MIT
Written in Python Python
Last push 2026-09-16 2026-09-15
Forks ⑂ 12K ⑂ 7.2K
Self-hosting Yes Yes
Data ownership Your server Your server

pick graphify if

  • You weight community size — 119K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full graphify profile →

pick Agent-Reach if

  • You want the Agent-Reach feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and Agent-Reach fits your workflow better

full Agent-Reach profile →

About graphify

graphify is an Apache 2.0 Python CLI and /graphify skill that turns a whole project — code, docs, SQL schemas, configs, PDFs, images, and video — into a queryable knowledge graph, built for developers and AI agent users in Claude Code, Cursor, Codex, and Gemini CLI who want to query a codebase instead of grepping through files.

read the full graphify overview →

About Agent-Reach

Agent Reach is an open source Python command line tool that gives AI agents the ability to read and search the wider internet — Twitter/X, Reddit, YouTube, GitHub, Bilibili, and XiaoHongShu among others — for developers and agent builders who want that reach without paying for platform APIs.

read the full Agent-Reach overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 246K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

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Compare either of these against the rest of the AI Development Platforms field.

graphify vs Dify graphify vs langchain graphify vs ponytail graphify vs generative-ai-for-beginners graphify vs claude-mem graphify vs ragflow graphify vs PaddleOCR graphify vs headroom graphify vs Mem0 graphify vs daily_stock_analysis graphify vs LiteLLM graphify vs Multica

Frequently asked questions

Is graphify or Agent-Reach more popular?

graphify has 118,991 GitHub stars and Agent-Reach has 82,763. graphify has the larger community by that measure.

Are graphify and Agent-Reach free?

Both are open source. graphify is licensed under Apache-2.0 and Agent-Reach under MIT. Neither carries a licence fee.

What is the difference between graphify and Agent-Reach?

graphify is written in Python and Agent-Reach in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, graphify or Agent-Reach?

Choose graphify if you want the larger community (118,991 stars) or its Apache-2.0 licence terms. Choose Agent-Reach if its feature set, stack or MIT licence fits better. Both are self-hostable.