The OWL framework for multi-agent collaboration has achieved the top ranking among open-source frameworks on the GAIA benchmark, attaining a score of 69.09%. This result was announced in April 2025, following an earlier achievement of 58.18% in March.

  • OWL is built on the CAMEL-AI Framework and utilizes dynamic agent interactions for task automation.
  • The system supports multimodal processing, browser automation via Playwright, and document parsing.
  • It integrates numerous toolkits including MCP, code execution, and various search engines like Google and Baidu.
  • The project was accepted by NeurIPS 2025, with training datasets and model checkpoints open-sourced in July 2025.

The framework enables more natural and efficient task automation across diverse domains by leveraging optimized workforce learning.