head to head · open source

odysseus vs agentscope

odysseus has 87,371 GitHub stars, 907 forks, 1,233 open issues and last shipped 2 days ago. agentscope has 31,942 stars, 3,519 forks, 369 open issues and last shipped yesterday. odysseus leads on adoption by 174% (87,371 vs 31,942 stars). odysseus is written in Python under AGPL-3.0; agentscope is written in Python under Apache-2.0. odysseus has attracted 1% 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.

odysseus ★ 87K agentscope ★ 32K category AI & Machine Learning

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Side by side

odysseus agentscope
GitHub stars ★ 87K ★ 32K
License AGPL-3.0 Apache-2.0
Written in Python Python
Last push 2026-09-17 2026-09-18
Forks ⑂ 907 ⑂ 3.5K
Self-hosting Yes Yes
Data ownership Your server Your server

pick odysseus if

  • You weight community size — 87K stars and counting
  • You want the AGPL-3.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full odysseus profile →

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

full agentscope profile →

About odysseus

Odysseus is a self hosted AI workspace written in Python and released under the AGPL 3.0 or later licence, built for people who want chat, agents, research, documents, email, notes, tasks, and calendar in one deployment on infrastructure they control.

read the full odysseus 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

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

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Compare either of these against the rest of the AI Interaction & Interfaces field.

odysseus vs OpenClaw odysseus vs Hermes Agent odysseus vs Open WebUI odysseus vs ComfyUI odysseus vs LobeChat odysseus vs AnythingLLM odysseus vs Cherry Studio odysseus vs nanobot odysseus vs Jan odysseus vs LibreChat odysseus vs chatbox odysseus vs AstrBot

Frequently asked questions

Is odysseus or agentscope more popular?

odysseus has 87,371 GitHub stars and agentscope has 31,942. odysseus has the larger community by that measure.

Are odysseus and agentscope free?

Both are open source. odysseus is licensed under AGPL-3.0 and agentscope under Apache-2.0. Neither carries a licence fee.

What is the difference between odysseus and agentscope?

odysseus 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, odysseus or agentscope?

Choose odysseus if you want the larger community (87,371 stars) or its AGPL-3.0 licence terms. Choose agentscope if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.