head to head · open source

Dify vs mini-swe-agent

Dify has 160,251 GitHub stars, 25,336 forks, 1,067 open issues and last shipped yesterday. mini-swe-agent has 9,038 stars, 1,265 forks, 65 open issues and last shipped 8 days ago. Dify leads on adoption by 1,673% (160,251 vs 9,038 stars). Dify is written in Python under a custom or non-standard licence; mini-swe-agent is written in Python under MIT. Dify has attracted 16% as many forks as stars, mini-swe-agent 14%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (agent, agentic-ai, 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 mini-swe-agent ★ 9.0K category AI & Machine Learning

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Side by side

Dify mini-swe-agent
GitHub stars ★ 160K ★ 9.0K
License Custom / other MIT
Written in Python Python
Last push 2026-11-02 2026-10-26
Forks ⑂ 25K ⑂ 1.3K
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 mini-swe-agent if

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

full mini-swe-agent 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 mini-swe-agent

The minimal AI software engineering agent 📣 mini swe agent now powers Ramp SWE Bench 📣 mini swe agent beats Claude Code and Codex on DeepSWE 📣 Run mini swe agent on our new & extremely challenging benchmark, ProgramBench 📣 New tutorial on building minimal AI agents [!WARNING] This is mini swe agent v2 . Read the migration guide. For the previous version, check out the v1 branch. In 2024, we built SWE bench & SWE agent and helped kickstart the coding agent revolution. We now ask: What if our agent was 100x simpler, and still worked nearly as well? mini is Widely adopted : Used by Meta, NVIDIA, Essential AI…

read the full mini-swe-agent overview →

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Frequently asked questions

Is Dify or mini-swe-agent more popular?

Dify has 160,251 GitHub stars and mini-swe-agent has 9,038. Dify has the larger community by that measure.

Are Dify and mini-swe-agent free?

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

What is the difference between Dify and mini-swe-agent?

Dify is written in Python and mini-swe-agent 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 mini-swe-agent?

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