OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation - GitHub - camel-ai/owl

OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation - GitHub - camel-ai/owl

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. OWL achieves 58.18 average score on GAIA benchmark and ranks #1 among open-source frameworks.

OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation - GitHub - camel-ai/owl

Giới Thiệu Chi Tiết

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. As of March 7, 2025, we open-sourced the codebase of the OWL project.

Thêm
AI

Thể loại

Từ khóa

OWLManusOpenManusOptimized Workforce LearningMulti-Agent AssistanceReal-World Task AutomationCAMEL-AI FrameworkOpen SourceTask Automation Benchmark

Chia sẻ