head to head · open source
langchain vs adhd
langchain has 146,562 GitHub stars, 24,508 forks, 492 open issues and last shipped today. adhd has 4,226 stars, 290 forks, 14 open issues and last shipped yesterday. langchain leads on adoption by 3,368% (146,562 vs 4,226 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.
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Side by side
| langchain | adhd | |
|---|---|---|
| GitHub stars | ★ 147K | ★ 4.2K |
| License | MIT | MIT |
| Written in | Python | TypeScript |
| Last push | 2026-09-18 | 2026-09-17 |
| Forks | ⑂ 25K | ⑂ 290 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick langchain if
- You weight community size — 147K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
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
About langchain
LangChain is an open source framework for building agents and LLM powered applications, written in Python and released under the MIT license. It lives in the AI and machine learning ecosystem, specifically among AI development platforms, and it works by chaining together interoperable components and third party integrations so that AI application development becomes simpler. The project describes itself as the agent engineering platform, and its abstractions are designed to keep applications working as the underlying technology evolves.
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 zero…
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Frequently asked questions
Is langchain or adhd more popular?
langchain has 146,562 GitHub stars and adhd has 4,226. 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 (146,562 stars) or its MIT licence terms. Choose adhd if its feature set, stack or MIT licence fits better. Both are self-hostable.