head to head · open source

Dify vs adhd

Dify has 160,251 GitHub stars, 25,336 forks, 1,067 open issues and last shipped yesterday. adhd has 4,498 stars, 299 forks, 14 open issues and last shipped 9 days ago. Dify leads on adoption by 3,463% (160,251 vs 4,498 stars). Dify is written in Python under a custom or non-standard licence; adhd is written in TypeScript under MIT. Dify has attracted 16% as many forks as stars, adhd 7%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai, 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 adhd ★ 4.5K category AI & Machine Learning

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Side by side

Dify adhd
GitHub stars ★ 160K ★ 4.5K
License Custom / other MIT
Written in Python TypeScript
Last push 2026-11-02 2026-10-25
Forks ⑂ 25K ⑂ 299
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 adhd if

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

full adhd 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 adhd

ADHD — a skill for agents 🎮 Join the Discord → for frame design, eval problems, and trap hunting in real time · 👉 Join the community → as a contributor, maintainer, or early adopter (one short form). An architectural fix for premature convergence in autoregressive reasoning. Linear Chain of Thought anchors on whatever it says first. Tree of Thought widens the search but still walks a single shared context, so the anchoring persists across branches. ADHD treats this as an architectural problem, not a prompting one — it spawns N isolated reasoning processes under deliberately distorted cognitive frames, with…

read the full adhd overview →

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Frequently asked questions

Is Dify or adhd more popular?

Dify has 160,251 GitHub stars and adhd has 4,498. Dify has the larger community by that measure.

Are Dify and adhd free?

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

What is the difference between Dify and adhd?

Dify is written in Python and adhd in TypeScript. 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 adhd?

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