head to head · open source
OpenClaw vs agentscope
OpenClaw has 389,982 GitHub stars, 81,978 forks, 6,671 open issues and last shipped yesterday. agentscope has 31,878 stars, 3,514 forks, 369 open issues and last shipped yesterday. OpenClaw leads on adoption by 1,123% (389,982 vs 31,878 stars). OpenClaw is written in TypeScript under a custom or non-standard licence; agentscope is written in Python under Apache-2.0. OpenClaw has attracted 21% as many forks as stars, agentscope 11%. OpenClaw 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.
← all 8884 open source comparisons
Side by side
| OpenClaw | agentscope | |
|---|---|---|
| GitHub stars | ★ 390K | ★ 32K |
| License | Custom / other | Apache-2.0 |
| Written in | TypeScript | Python |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 82K | ⑂ 3.5K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick OpenClaw if
- You weight community size — 390K 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 OpenClaw
OpenClaw is an open source, self hosted AI assistant in the AI & Machine Learning / AI Interaction & Interfaces category that runs on hardware the user controls and meets them inside the messaging channels they already use, for individuals who want a personal assistant on a laptop and teams that want a shared deployment.
read the full OpenClaw 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 OpenClaw or agentscope more popular?
OpenClaw has 389,982 GitHub stars and agentscope has 31,878. OpenClaw has the larger community by that measure.
Are OpenClaw and agentscope free?
Both are open source. OpenClaw 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 OpenClaw and agentscope?
OpenClaw 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, OpenClaw or agentscope?
Choose OpenClaw if you want the larger community (389,982 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.