GH Repository · camel-ai
owl
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
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agent-appPythontask-automationpython/uvpythonweb-interactionmulti-agent-systemsartificial-intelligenceagent
OWL (Optimized Workforce Learning) is a multi-agent assistant framework from camel-ai aimed at automating real-world tasks, with topics indicating web interaction capabilities. It is a Python project that can be set up with the uv toolchain.
Use it when you want a multi-agent system for automating real-world tasks involving web interaction.
Use it to
- Automate real-world tasks with multiple cooperating agents
- Run agents that interact with the web
- Experiment with optimized workforce learning approaches
- Build on a Python multi-agent app scaffold
For Developers and researchers building multi-agent automation systems
- Role
- agent-app
- Language
- Python
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- 2,299
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- 88
- Last push
- 2026-08-27
topicsmulti-agenttask-automationweb-interactionpythonllm-agents