camel-ai/owl
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
Built on the CAMEL-AI framework, OWL implements dynamic multi-agent orchestration with integrated tool access via Model Context Protocol (MCP), enabling agents to interact with browsers, file systems, and web services for complex task automation. The framework supports multiple LLM providers (OpenAI, Gemini, Claude, local models) and specialized toolkits for web search, code execution, and desktop automation. Optimization through reinforcement learning from agent trajectories improves decision-making across real-world tasks spanning web navigation, data retrieval, and system automation.
19,190 stars. Actively maintained with 6 commits in the last 30 days.
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19,190
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2,241
Language
Python
License
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Last pushed
Mar 13, 2026
Commits (30d)
6
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