head to head · open source
LobeChat vs agentscope
LobeChat has 82,547 GitHub stars, 15,891 forks, 922 open issues and last shipped yesterday. agentscope has 31,878 stars, 3,514 forks, 369 open issues and last shipped yesterday. LobeChat leads on adoption by 159% (82,547 vs 31,878 stars). LobeChat is written in TypeScript under a custom or non-standard licence; agentscope is written in Python under Apache-2.0. LobeChat has attracted 19% as many forks as stars, agentscope 11%. LobeChat was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (agent), 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 8884 open source comparisons
Side by side
| LobeChat | agentscope | |
|---|---|---|
| GitHub stars | ★ 83K | ★ 32K |
| License | Custom / other | Apache-2.0 |
| Written in | TypeScript | Python |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 16K | ⑂ 3.5K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick LobeChat if
- You weight community size — 83K stars and counting
- You want the Custom / other license terms
- Your stack matches TypeScript
- 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 LobeChat
LobeHub is an open source platform for managing, building, and operating AI agent teams. It functions as a Chief Agent Operator (CAO), enabling users to organize, schedule, and monitor autonomous AI agents around the clock. The project lives in the AI interaction and interfaces ecosystem, integrating with major LLM providers like OpenAI, Anthropic, DeepSeek, and Alibaba’s GLM series.
read the full LobeChat overview →
About agentscope
AgentScope 2.0 is a production ready agent framework written in Python and released under the Apache 2.0 licence. It provides a set of essential abstractions for building agents, and it is designed explicitly for increasingly agentic large language models. Rather than wrapping models in strict prompts and opinionated orchestrations, the framework leans on the reasoning and tool use abilities the models already have, so the agent logic follows rising model capability instead of fighting it. The project lives in the Python AI and machine learning ecosystem, with a documented homepage at docs.agentscope.io and a rep…
read the full agentscope overview →
More in AI & Machine Learning
Related comparisons
More AI Interaction & Interfaces projects
Compare either of these against the rest of the AI Interaction & Interfaces field.
Frequently asked questions
Is LobeChat or agentscope more popular?
LobeChat has 82,547 GitHub stars and agentscope has 31,878. LobeChat has the larger community by that measure.
Are LobeChat and agentscope free?
Both are open source. LobeChat has no licence declared in this registry, and agentscope is licensed under Apache-2.0. Both are free to self-host.
What is the difference between LobeChat and agentscope?
LobeChat is written in TypeScript 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, LobeChat or agentscope?
Choose LobeChat if you want the larger community (82,547 stars) or its Custom / other licence terms. Choose agentscope if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.