head to head · open source
langchain vs AgentOS
langchain has 148,851 GitHub stars, 25,018 forks, 492 open issues and last shipped yesterday. AgentOS has 683 stars, 101 forks, 10 open issues and last shipped yesterday. langchain leads on adoption by 21,694% (148,851 vs 683 stars). langchain is written in Python under MIT; AgentOS is written in TypeScript under Apache-2.0. langchain has attracted 17% as many forks as stars, AgentOS 15%. AgentOS was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (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.
← all 20902 open source comparisons
Side by side
| langchain | AgentOS | |
|---|---|---|
| GitHub stars | ★ 149K | ★ 683 |
| License | MIT | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 25K | ⑂ 101 |
| 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 AgentOS if
- You want the AgentOS feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and AgentOS 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 AgentOS
AgentOS · TypeScript AI Agent Framework Agents that remember, forge their own tools, and survive long running sessions. Persistent cognitive memory, optional HEXACO personality, multi agent orchestration, and one dispatch interface across 11 LLM providers. Apache 2.0. Benchmarks Website Docs npm Discord Blog AgentOS is an open source TypeScript framework for AI agents that remember, adapt, and write their own tools . Top open source memory benchmarks: 85.6% on LongMemEval S at $0.0090/correct (gpt 4o), and 70.2% on LongMemEval M, the only open source library above 65% on M with reproducible methodology. Runtime…
read the full AgentOS overview →
More in AI & Machine Learning
Related comparisons
More AI Development Platforms projects
Compare either of these against the rest of the AI Development Platforms field.
Frequently asked questions
Is langchain or AgentOS more popular?
langchain has 148,851 GitHub stars and AgentOS has 683. langchain has the larger community by that measure.
Are langchain and AgentOS free?
Both are open source. langchain is licensed under MIT and AgentOS under Apache-2.0. Neither carries a licence fee.
What is the difference between langchain and AgentOS?
langchain is written in Python and AgentOS 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 AgentOS?
Choose langchain if you want the larger community (148,851 stars) or its MIT licence terms. Choose AgentOS if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.