head to head · open source

graphify vs GenericAgent

graphify has 119,123 GitHub stars, 11,519 forks, 1,350 open issues and last shipped 2 days ago. GenericAgent has 14,218 stars, 1,654 forks, 171 open issues and last shipped 4 days ago. graphify leads on adoption by 738% (119,123 vs 14,218 stars). graphify is written in Python under Apache-2.0; GenericAgent is written in Python under MIT. graphify has attracted 10% as many forks as stars, GenericAgent 12%. graphify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (gemini), 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 GenericAgent ★ 14K category AI & Machine Learning

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Side by side

graphify GenericAgent
GitHub stars ★ 119K ★ 14K
License Apache-2.0 MIT
Written in Python Python
Last push 2026-09-16 2026-09-14
Forks ⑂ 12K ⑂ 1.7K
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 GenericAgent if

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

full GenericAgent 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 GenericAgent

GenericAgent is a minimal, self evolving autonomous agent framework in Python that gives any supported large language model system level control over a local computer, built for developers and automation builders who want to run and extend an agent themselves instead of renting a managed one.

read the full GenericAgent overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K 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 Agent-Reach graphify vs headroom graphify vs Mem0 graphify vs daily_stock_analysis graphify vs LiteLLM

Frequently asked questions

Is graphify or GenericAgent more popular?

graphify has 119,123 GitHub stars and GenericAgent has 14,218. graphify has the larger community by that measure.

Are graphify and GenericAgent free?

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

What is the difference between graphify and GenericAgent?

graphify is written in Python and GenericAgent 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 GenericAgent?

Choose graphify if you want the larger community (119,123 stars) or its Apache-2.0 licence terms. Choose GenericAgent if its feature set, stack or MIT licence fits better. Both are self-hostable.