head to head · open source

Dify vs GenericAgent

Dify has 160,251 GitHub stars, 25,336 forks, 1,067 open issues and last shipped yesterday. GenericAgent has 14,384 stars, 1,665 forks, 171 open issues and last shipped yesterday. Dify leads on adoption by 1,014% (160,251 vs 14,384 stars). Dify is written in Python under a custom or non-standard licence; GenericAgent is written in Python under MIT. Dify has attracted 16% as many forks as stars, GenericAgent 12%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (automation, claude), 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.

Dify ★ 160K GenericAgent ★ 14K category AI & Machine Learning

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Side by side

Dify GenericAgent
GitHub stars ★ 160K ★ 14K
License Custom / other MIT
Written in Python Python
Last push 2026-11-02 2026-11-02
Forks ⑂ 25K ⑂ 1.7K
Self-hosting Yes Yes
Data ownership Your server Your server

pick Dify if

  • You weight community size — 160K stars and counting
  • You want the Custom / other license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full Dify 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 Dify

Dify Cloud · Self hosting · Documentation · Dify edition overview Dify is an open source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features (including Opik, Langfuse, and Arize Phoenix) and more, letting you quickly go from prototype to production. Here's a list of the core features: Quick start Before installing Dify, make sure your machine meets the following minimum system requirements: CPU = 2 Core RAM = 4 GiB The easiest way to start the Dify server is through Docker Compose. Before running Dify with the…

read the full Dify overview →

About GenericAgent

GenericAgent A Minimal, Self Evolving Autonomous Agent Framework 3K lines of seed code · 9 atomic tools · 100 line Agent Loop English · 中文 📌 Official: GitHub + only. DintalClaw is the sole authorized commercial partner; others are not affiliated. 🌟 Overview GenericAgent is a minimal, self evolving autonomous agent framework. Its core is just 3K lines of code . Through 9 atomic tools + a 100 line Agent Loop , it grants any LLM system level control over a local computer — covering browser, terminal, filesystem, keyboard/mouse input, screen vision, and mobile devices (ADB). Design philosophy — don't preload…

read the full GenericAgent overview →

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Frequently asked questions

Is Dify or GenericAgent more popular?

Dify has 160,251 GitHub stars and GenericAgent has 14,384. Dify has the larger community by that measure.

Are Dify and GenericAgent free?

Both are open source. Dify has no licence declared in this registry, and GenericAgent is licensed under MIT. Both are free to self-host.

What is the difference between Dify and GenericAgent?

Dify 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, Dify or GenericAgent?

Choose Dify if you want the larger community (160,251 stars) or its Custom / other licence terms. Choose GenericAgent if its feature set, stack or MIT licence fits better. Both are self-hostable.