head to head · open source
langchain vs atmosphere
langchain has 148,892 GitHub stars, 25,031 forks, 492 open issues and last shipped yesterday. atmosphere has 3,828 stars, 763 forks, 10 open issues and last shipped yesterday. langchain leads on adoption by 3,790% (148,892 vs 3,828 stars). langchain is written in Python under MIT; atmosphere is written in Java under Apache-2.0. langchain has attracted 17% as many forks as stars, atmosphere 20%. 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-agents, 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 | atmosphere | |
|---|---|---|
| GitHub stars | ★ 149K | ★ 3.8K |
| License | MIT | Apache-2.0 |
| Written in | Python | Java |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 25K | ⑂ 763 |
| 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 atmosphere if
- You want the atmosphere feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Java
- You evaluated both and atmosphere 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 atmosphere
Atmosphere The real time engine for AI agents on the JVM. Tokens flow from the LLM runtime to the client through a broadcaster you can filter, gate, and observe — over WebSocket, SSE, long polling, or gRPC, and out through MCP, A2A, and AG UI. A plain @Agent is a full deep agent, batteries included, and Atmosphere handles reconnect, authorization, and governance. Atmosphere is built for teams that need AI agents to behave like production services: streaming over real transports, guarded before every tool call, observable by tenant and run, and portable across AI frameworks without rewriting the endpoint. Why…
read the full atmosphere overview →
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Frequently asked questions
Is langchain or atmosphere more popular?
langchain has 148,892 GitHub stars and atmosphere has 3,828. langchain has the larger community by that measure.
Are langchain and atmosphere free?
Both are open source. langchain is licensed under MIT and atmosphere under Apache-2.0. Neither carries a licence fee.
What is the difference between langchain and atmosphere?
langchain is written in Python and atmosphere in Java. 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 atmosphere?
Choose langchain if you want the larger community (148,892 stars) or its MIT licence terms. Choose atmosphere if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.