head to head · open source
langchain vs agentscope
langchain has 148,892 GitHub stars, 25,031 forks, 492 open issues and last shipped yesterday. agentscope has 35,223 stars, 3,774 forks, 369 open issues and last shipped yesterday. langchain leads on adoption by 323% (148,892 vs 35,223 stars). langchain is written in Python under MIT; agentscope is written in Python under Apache-2.0. langchain has attracted 17% as many forks as stars, agentscope 11%. langchain was the more recently maintained of the two, and both are self-hostable with no licence fee.
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 | agentscope | |
|---|---|---|
| GitHub stars | ★ 149K | ★ 35K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 25K | ⑂ 3.8K |
| 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 agentscope if
- You want the agentscope 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 agentscope 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 agentscope
中文主页 Documentation Roadmap What is AgentScope 2.0? AgentScope 2.0 is a production ready, easy to use agent framework with essential abstractions that keep up with rising model capability. We design for increasingly agentic LLMs. Our approach leverages the models' reasoning and tool use abilities rather than constraining them with strict prompts and opinionated orchestrations. News [2026 09] FEAT : agentscope skill now supports AgentScope v2. [2026 09] INTE : Support DashScope, OpenAI, Gemini and xAI realtime APIs in RealtimeAgent . Example Docs [2026 09] FEAT Experimental : Realtime voice agent supported…
read the full agentscope overview →
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Frequently asked questions
Is langchain or agentscope more popular?
langchain has 148,892 GitHub stars and agentscope has 35,223. langchain has the larger community by that measure.
Are langchain and agentscope free?
Both are open source. langchain is licensed under MIT and agentscope under Apache-2.0. Neither carries a licence fee.
What is the difference between langchain and agentscope?
langchain is written in Python and agentscope 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 agentscope?
Choose langchain if you want the larger community (148,892 stars) or its MIT licence terms. Choose agentscope if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.