🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
Pulse
93
Velocity
4.1x
Stars
19,602
Framework for building multi-agent systems for real-world task automation.
OWL enables sophisticated multi-agent AI systems for complex real-world tasks.
Create AI agent workforces that learn and automate complex real-world tasks.
Why Trending
Advancements in multi-agent AI and its application to complex tasks.
Target Audience
Developers building autonomous AI agent workforces for automation.
Similar Projects