Session

Inside Multi-Agent Systems: Collaboration and Coordination Between AI Agents

Go beyond single-agent systems and discover how multiple AI agents can coordinate to achieve complex goals. This session dives into multi-agent architectures where agents specialize in different tasks (e.g., planner, executor, critic) and collaborate dynamically. Learn how to build these systems using CrewAI and LangGraph, and how to overcome challenges like message passing, conflict resolution, and decision-making under uncertainty.

Charles Moruri

Machine Learning Engineer & Community Lead

Nairobi, Kenya

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