head to head · open source

Dify vs Agno

Dify has 160,251 GitHub stars, 25,336 forks, 1,067 open issues and last shipped yesterday. Agno has 43,019 stars, 6,229 forks, 1,419 open issues and last shipped yesterday. Dify leads on adoption by 273% (160,251 vs 43,019 stars). Dify is written in Python under a custom or non-standard licence; Agno is written in Python under Apache-2.0. Dify has attracted 16% as many forks as stars, Agno 14%. Agno was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai), 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 Agno ★ 43K category AI & Machine Learning

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Side by side

Dify Agno
GitHub stars ★ 160K ★ 43K
License Custom / other Apache-2.0
Written in Python Python
Last push 2026-11-02 2026-11-02
Forks ⑂ 25K ⑂ 6.2K
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 Agno if

  • You want the Agno feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and Agno fits your workflow better

full Agno 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 Agno

Build, run, and manage agent platforms. Introduction Agno is a framework and runtime for agent platforms. Build agents, run them as a service, manage your platform using a web UI. Build your agent platform using the Agno SDK. Run your agent platform using the AgentOS runtime. Manage everything using the AgentOS UI. Agno allows you to own your agent stack. Maintain control of your data, memory, and security posture (JWT based RBAC), and turn your agent platform into a learning loop with simulations and usage data. Get started Hand this prompt to your coding agent (Claude Code, Cursor, Codex): Your coding agent…

read the full Agno overview →

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Frequently asked questions

Is Dify or Agno more popular?

Dify has 160,251 GitHub stars and Agno has 43,019. Dify has the larger community by that measure.

Are Dify and Agno free?

Both are open source. Dify has no licence declared in this registry, and Agno is licensed under Apache-2.0. Both are free to self-host.

What is the difference between Dify and Agno?

Dify is written in Python and Agno 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 Agno?

Choose Dify if you want the larger community (160,251 stars) or its Custom / other licence terms. Choose Agno if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.