head to head · open source

langchain vs adhd

langchain has 148,892 GitHub stars, 25,031 forks, 492 open issues and last shipped yesterday. adhd has 4,498 stars, 299 forks, 14 open issues and last shipped 9 days ago. langchain leads on adoption by 3,210% (148,892 vs 4,498 stars). langchain is written in Python under MIT; adhd is written in TypeScript under MIT. langchain has attracted 17% as many forks as stars, adhd 7%. langchain was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (agents, ai, ai-agents), 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.

langchain ★ 149K adhd ★ 4.5K category AI & Machine Learning

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Side by side

langchain adhd
GitHub stars ★ 149K ★ 4.5K
License MIT 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 langchain if

  • You weight community size — 149K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full langchain 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 langchain

The agent engineering platform. LangChain is a framework for building agents and LLM powered applications. It helps you chain together interoperable components and third party integrations to simplify AI application development — all while future proofing decisions as the underlying technology evolves. [!TIP] Just getting started? Check out Deep Agents — a higher level package built on LangChain for agents that have built in capabilities for common usage patterns such as planning, subagents, file system usage, and more. Quickstart If you're looking for more advanced customization or agent orchestration, check…

read the full langchain 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 langchain or adhd more popular?

langchain has 148,892 GitHub stars and adhd has 4,498. langchain has the larger community by that measure.

Are langchain and adhd free?

Both are open source. langchain is licensed under MIT and adhd under MIT. Neither carries a licence fee.

What is the difference between langchain and adhd?

langchain 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, langchain or adhd?

Choose langchain if you want the larger community (148,892 stars) or its MIT licence terms. Choose adhd if its feature set, stack or MIT licence fits better. Both are self-hostable.