camel-ai/owl

🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation

56
/ 100
Established

This framework helps you automate complex, multi-step tasks by having multiple AI agents collaborate. You define the overall goal, and the system coordinates different AI agents to perform sub-tasks, use various tools (like web browsers or terminal commands), and produce a final output that achieves your objective. It's for anyone needing to automate intricate workflows, like operations managers or researchers.

19,190 stars. Actively maintained with 6 commits in the last 30 days.

Use this if you need to automate a sophisticated real-world task that requires different AI agents to work together and use a variety of tools.

Not ideal if your task is simple, single-step, or can be handled by a single AI agent without complex tool interactions.

task automation workflow management operations optimization multi-agent systems AI assistance
No License No Package No Dependents
Maintenance 17 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 21 / 25

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Stars

19,190

Forks

2,241

Language

Python

License

Last pushed

Mar 13, 2026

Commits (30d)

6

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