head to head · open source

OpenClaw vs Dify

OpenClaw has 393,747 GitHub stars, 82,755 forks, 6,671 open issues and last shipped yesterday. Dify has 160,251 stars, 25,336 forks, 1,067 open issues and last shipped yesterday. OpenClaw leads on adoption by 146% (393,747 vs 160,251 stars). OpenClaw is written in TypeScript under MIT; Dify is written in Python under a custom or non-standard licence. OpenClaw has attracted 21% as many forks as stars, Dify 16%. OpenClaw 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.

OpenClaw ★ 394K Dify ★ 160K category AI & Machine Learning

← all 20902 open source comparisons

Side by side

OpenClaw Dify
GitHub stars ★ 394K ★ 160K
License MIT Custom / other
Written in TypeScript Python
Last push 2026-11-02 2026-11-02
Forks ⑂ 83K ⑂ 25K
Self-hosting Yes Yes
Data ownership Your server Your server

pick OpenClaw if

  • You weight community size — 394K stars and counting
  • You want the MIT license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full OpenClaw profile →

pick Dify if

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

full Dify profile →

About OpenClaw

OpenClaw 🦞 — Your assistant, on your devices, in your chats OpenClaw is an open source AI assistant that runs on your own computer and meets you in the channels you already use: Discord, iMessage, Slack, Teams, Telegram, WhatsApp, and 20+ more, plus native apps for macOS, iOS, Android, Windows, and Linux. One Gateway runs it as a personal assistant on a laptop or as a shared team deployment; configuration is the only difference. Yours, with no catch. State, memory, and credentials live on your hardware. Models and agent harnesses (Claude, Codex, local models) are plugins you can swap without changing anything…

read the full OpenClaw overview →

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 →

More in AI & Machine Learning

Related comparisons

More AI Interaction & Interfaces projects

Compare either of these against the rest of the AI Interaction & Interfaces field.

Frequently asked questions

Is OpenClaw or Dify more popular?

OpenClaw has 393,747 GitHub stars and Dify has 160,251. OpenClaw has the larger community by that measure.

Are OpenClaw and Dify free?

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

What is the difference between OpenClaw and Dify?

OpenClaw is written in TypeScript and Dify 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, OpenClaw or Dify?

Choose OpenClaw if you want the larger community (393,747 stars) or its MIT licence terms. Choose Dify if its feature set, stack or Custom / other licence fits better. Both are self-hostable.