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Introduction to Multi-Agent Systems

Discover how multiple AI agents collaborate, coordinate, and solve complex problems together

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Agent Communication Fundamentals

For agents to collaborate effectively, they need structured ways to communicate. Different patterns suit different scenarios, each with distinct trade-offs in complexity, efficiency, and scalability.

Interactive: Communication Pattern Explorer

Select a pattern to see how it works and when to use it:

Broadcast

One agent sends message to all other agents simultaneously

Agent 1→All Agents
✓ Advantages
  • •Simple implementation
  • •All agents get same info
  • •Fast propagation
✗ Disadvantages
  • •Network overhead
  • •Info overload
  • •No targeting
Best Use Case:

System-wide announcements, state updates

Example:

Alert all agents about priority task

💬 Choosing the Right Pattern

Simple systems:

Start with Broadcast or Point-to-Point for clarity

Complex workflows:

Use Hierarchical for clear delegation

Event-driven:

Use Pub-Sub for decoupled systems

Hybrid approach:

Combine patterns for different communication needs

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