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upload technical report
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@ -143,6 +143,7 @@ Our vision is to revolutionize how AI agents collaborate to solve real-world tas
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- **[2025.05.27]**: We released the technical report of OWL, including more details on the workforce (framework) and optimized workforce learning (training methodology). [paper](https://github.com/camel-ai/owl/assets/OWL_Technical_Report.pdf).
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- **[2025.05.18]**: We open-sourced an initial version for replicating workforce experiment on GAIA [here](https://github.com/camel-ai/owl/tree/gaia69).
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- **[2025.04.18]**: We uploaded OWL's new GAIA benchmark score of **69.09%**, ranking #1 among open-source frameworks. Check the technical report [here](https://hypnotic-mind-6bd.notion.site/OWL-Optimized-Workforce-Learning-for-General-Multi-Agent-Assistance-in-Real-World-Task-Automation-1d4004aeb21380158749c7f84b20643f).
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- **[2025.03.27]**: Integrate SearxNGToolkit performing web searches using SearxNG search engine.
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