What it does
OWL, short for Optimized Workforce Learning, is a research framework for multi-agent collaboration: several AI agents with different roles working together on a task. It's built on the CAMEL-AI framework.
Agents can do things like browse websites and use tools to automate tasks across different areas. Its makers report strong results on GAIA, a benchmark that tests AI assistants on real-world questions.
The project includes a research paper describing the framework and a training method for it.
Who it's for
Researchers and developers exploring how teams of AI agents can handle complex tasks.
Can I use it without coding?
Developers only. It's installed with Python and run from code or the command line. New to this? Start here.
Can I run it?
- Runs on
- Mac, Windows, Linux
- API key
- Not needed
Try it
Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?
Before you install
- Only download from the official GitHub page. Copies with similar names exist for many popular projects.
- No standard license listed. Check the GitHub page before using it for business.
- More on staying safe
Where people are talking about it
- OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task AutomationResearch paper · May 2025
- Owl: Optimized Workforce Learning for multi-agent collaborationHacker News · Mar 2025