head to head · open source
langgraph vs agentscope
langgraph has 44,336 GitHub stars, 7,622 forks, 786 open issues and last shipped yesterday. agentscope has 35,223 stars, 3,774 forks, 369 open issues and last shipped yesterday. langgraph leads on adoption by 26% (44,336 vs 35,223 stars). langgraph is written in Python under MIT; agentscope is written in Python under Apache-2.0. langgraph has attracted 17% as many forks as stars, agentscope 11%. langgraph was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), 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
| langgraph | agentscope | |
|---|---|---|
| GitHub stars | ★ 44K | ★ 35K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 7.6K | ⑂ 3.8K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick langgraph if
- You weight community size — 44K 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 langgraph
Low level orchestration framework for building stateful agents. Trusted by companies shaping the future of agents – including Klarna, Replit, Elastic, and more – LangGraph is a low level orchestration framework for building, managing, and deploying long running, stateful agents. [!TIP] If you're looking to quickly build agents, check out Deep Agents — a higher level package built on LangGraph for agents that can plan, use subagents, and leverage file systems for complex tasks. For an equivalent JS/TS library, check out LangGraph.js and the JS docs. Why use LangGraph? LangGraph provides low level supporting…
read the full langgraph 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 langgraph or agentscope more popular?
langgraph has 44,336 GitHub stars and agentscope has 35,223. langgraph has the larger community by that measure.
Are langgraph and agentscope free?
Both are open source. langgraph is licensed under MIT and agentscope under Apache-2.0. Neither carries a licence fee.
What is the difference between langgraph and agentscope?
langgraph 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, langgraph or agentscope?
Choose langgraph if you want the larger community (44,336 stars) or its MIT licence terms. Choose agentscope if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.