head to head · open source
langchain vs ai-berkshire
langchain has 148,892 GitHub stars, 25,031 forks, 492 open issues and last shipped yesterday. ai-berkshire has 16,986 stars, 2,491 forks, 38 open issues and last shipped 2 days ago. langchain leads on adoption by 777% (148,892 vs 16,986 stars). langchain is written in Python under MIT; ai-berkshire is written in HTML under MIT. langchain has attracted 17% as many forks as stars, ai-berkshire 15%. langchain was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai, anthropic), 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 | ai-berkshire | |
|---|---|---|
| GitHub stars | ★ 149K | ★ 17K |
| License | MIT | MIT |
| Written in | Python | HTML |
| Last push | 2026-11-02 | 2026-11-01 |
| Forks | ⑂ 25K | ⑂ 2.5K |
| 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
pick ai-berkshire if
- You want the ai-berkshire feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches HTML
- You evaluated both and ai-berkshire fits your workflow better
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 ai-berkshire
中文 English 日本語 AI Berkshire AI 时代的价值投资研究框架 "Price is what you pay, value is what you get." — Warren Buffett 用 AI 重新定义投资研究的深度与效率。 AI Berkshire 是一套同时兼容 Claude Code 与 Codex 的投资研究 Skill 合集，将巴菲特、芒格、段永平、李录四位价值投资大师的方法论系统化、结构化，通过 AI Agent 实现专业级投资研究。 一个人 + Claude Code / Codex = 一个投研团队。 📮 仓库是全量框架，公众号是精选。 真正值得深研的公司，加上报告之外我自己的判断与取舍，都在微信公众号「 复利炼丹炉 」——扫码关注 ↓ 📊 日更内容是研究报告，全部在 研究报告索引。 2346 份报告 · 110 家公司 · 23 个专题，按公司与专题分组，更新至 2026 09 12。 实盘业绩 · 为什么不能直接问AI · Skills 一览 · 快速开始 · 实战报告 · 研究索引 · 设计理念 · 公众号 Real Track Record 不是纸上谈兵。这套框架背后是真金白银验证的投资体系。 2024 全年收益：+69.29% 2025 全年收益：+66.38% 与主要指数对比 2024 年超额收益 ：跑赢标普500 46个百分点 ，跑赢恒生指数…
read the full ai-berkshire overview →
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Frequently asked questions
Is langchain or ai-berkshire more popular?
langchain has 148,892 GitHub stars and ai-berkshire has 16,986. langchain has the larger community by that measure.
Are langchain and ai-berkshire free?
Both are open source. langchain is licensed under MIT and ai-berkshire under MIT. Neither carries a licence fee.
What is the difference between langchain and ai-berkshire?
langchain is written in Python and ai-berkshire in HTML. 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 ai-berkshire?
Choose langchain if you want the larger community (148,892 stars) or its MIT licence terms. Choose ai-berkshire if its feature set, stack or MIT licence fits better. Both are self-hostable.