Multi-Agent Systems
Coordinating many agents into one working system.
Multi-agent systems coordinate several AI agents that divide work, pass messages, and hand off tasks to solve a problem no single agent handles well — raising questions of orchestration, communication, and who owns the final decision.
4 episodes
- Gemini 3 & Robot Dogs: Inside Google DeepMind's AI Experiments | Paige Bailey
- Mastering Multi-Agent Systems | MongoDB’s Mikiko Chandrasekhar
- The Emerging AI Agent Stack | CrewAI’s João Moura
- Why Enterprises Need a Different Approach to AI Agents | Lyzr’s Siva Surendira
Explainers on this topic
- LangGraph vs. CrewAI vs. AutoGen
- Single-Agent vs. Multi-Agent Architecture
- What Are AI Agent Guardrails
- Why Multi-Agent Systems Fail