head to head · open source
langchain vs beeai-framework
langchain has 148,892 GitHub stars, 25,031 forks, 492 open issues and last shipped yesterday. beeai-framework has 3,449 stars, 544 forks, 14 open issues and last shipped yesterday. langchain leads on adoption by 4,217% (148,892 vs 3,449 stars). langchain is written in Python under MIT; beeai-framework is written in Python under Apache-2.0. langchain has attracted 17% as many forks as stars, beeai-framework 16%. 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, framework), 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 | beeai-framework | |
|---|---|---|
| GitHub stars | ★ 149K | ★ 3.4K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 25K | ⑂ 544 |
| 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 beeai-framework if
- You want the beeai-framework feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and beeai-framework 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 beeai-framework
BeeAI Framework Build production ready multi agent systems in Python or TypeScript . Latest updates For a full changelog, see our releases page. What is BeeAI Framework? BeeAI Framework is a comprehensive toolkit for building intelligent, autonomous agents and multi agent systems. It provides everything you need to create agents that can reason, take actions, and collaborate to solve complex problems. [!TIP] Get started quickly with the beeai framework py starter [Python] or beeai framework ts starter [TypeScript] template. Key Features 📊 Observability Monitor agent behavior
read the full beeai-framework overview →
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Frequently asked questions
Is langchain or beeai-framework more popular?
langchain has 148,892 GitHub stars and beeai-framework has 3,449. langchain has the larger community by that measure.
Are langchain and beeai-framework free?
Both are open source. langchain is licensed under MIT and beeai-framework under Apache-2.0. Neither carries a licence fee.
What is the difference between langchain and beeai-framework?
langchain is written in Python and beeai-framework 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, langchain or beeai-framework?
Choose langchain if you want the larger community (148,892 stars) or its MIT licence terms. Choose beeai-framework if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.