head to head · open source
Agno vs agentscope
Agno has 42,226 GitHub stars, 5,947 forks, 1,419 open issues and last shipped yesterday. agentscope has 31,896 stars, 3,514 forks, 369 open issues and last shipped today. Agno leads on adoption by 32% (42,226 vs 31,896 stars). Agno is written in Python under Apache-2.0; agentscope is written in Python under Apache-2.0. Agno has attracted 14% as many forks as stars, agentscope 11%. agentscope 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
| Agno | agentscope | |
|---|---|---|
| GitHub stars | ★ 42K | ★ 32K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-09-17 | 2026-09-18 |
| Forks | ⑂ 5.9K | ⑂ 3.5K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Agno if
- You weight community size — 42K stars and counting
- You want the Apache-2.0 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 Agno
Agno is a model agnostic platform for building, running, and managing AI agent platforms. It provides both a Python SDK for agent development and a runtime environment (AgentOS) for serving agents as services, backed by a web based control plane. Agno lives in the Python based AI development ecosystem and targets teams seeking full ownership of their agent infrastructure without vendor lock in.
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 →
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Frequently asked questions
Is Agno or agentscope more popular?
Agno has 42,226 GitHub stars and agentscope has 31,896. Agno has the larger community by that measure.
Are Agno and agentscope free?
Both are open source. Agno is licensed under Apache-2.0 and agentscope under Apache-2.0. Neither carries a licence fee.
What is the difference between Agno and agentscope?
Agno 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, Agno or agentscope?
Choose Agno if you want the larger community (42,226 stars) or its Apache-2.0 licence terms. Choose agentscope if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.