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动量当前有效 · 2026-09-12
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方法论 v2.0 · 快照 2026-09-12 · 超过 2 天视为过期

项目介绍

🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation

🏆 OWL achieves 69.09 average score on GAIA benchmark and ranks 🏅️ #1 among open-source frameworks! 🏆

🦉 OWL is a cutting-edge framework for multi-agent collaboration that pushes the boundaries of task automation, built on top of the CAMEL-AI Framework.

Our vision is to revolutionize how AI agents collaborate to solve real-world tasks. By leveraging dynamic agent interactions, OWL enables more natural, efficient, and robust task automation across diverse domains.

If you find this repo useful, please consider citing our work (citation).

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