OWL (Optimized Workforce Learning)is a cutting-edge multi-agent collaboration framework developed based on the CAMEL-AI framework, dedicated to advancing the automation of real-world tasks to new levels.The average score in the GAIA benchmark evaluation reaches 58.18, ranking first among open-source frameworks! 🏅️https://github.com/camel-ai/owl
OWL's vision is to completely revolutionize the collaboration model between AI agents, making task automation more natural, efficient, and robust through dynamic interactions for a wide range of practical applications.
💻 Demo video:
✨ Overview of core functions:
🔍 Real-time online search: Supports multi-platform searches including Google, Bing, Baidu, Wikipedia, etc., for real-time information retrieval. 🎥 Multimodal processing: Processes data in various formats such as videos, images, and audio. 🌐 Browser automation: Utilizes the Playwright framework to support simulated web page interactions. 📑 Document parsing: Automatically extracts and converts content from documents in formats such as Word, Excel, and PDF. 🐍 Code execution: Supports writing and executing Python code. 🛠️ Rich toolset: Covers multiple professional tools including Arxiv, GitHub, Google Maps, weather, Semantic Scholar, video analysis, etc.
🚧 OWL future plans：
Writing technical blogs to share insights and explorations into multi-agent collaboration practices Continuously expanding the ecosystem of specialized tools Developing more advanced interaction modes and communication protocols for agents Enhancing multi-step reasoning capabilities for complex tasks