Agent Coordination Patterns

Master how AI agents coordinate tasks, resolve conflicts, and achieve shared goals

The Coordination Challenge

When multiple agents work together, they must coordinate to avoid conflicts, share resources efficiently, and achieve common goals. Without proper coordination mechanisms, agents can duplicate work, compete for resources, or produce inconsistent results.

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Task Allocation

Who does what? Distribute work efficiently

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Conflict Resolution

Handle competing goals and resource disputes

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Synchronization

Keep agents aligned on timing and state

Interactive: Coordination Complexity Visualizer

See how coordination complexity grows with agent count:

1
12345

Agent Visualization:

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Coordination Metrics:

Complexity:None
Potential Connections:
0
Single agent, no coordination needed

📊 Formula: n(n-1)/2

Coordination complexity grows quadratically with agent count. With n agents, there are n(n-1)/2 potential pair-wise connections that need coordination.

  • • 2 agents = 1 connection
  • • 3 agents = 3 connections
  • • 5 agents = 10 connections
  • • 10 agents = 45 connections (!)

🎯 What You'll Learn

  • Task Allocation: Distribute work based on capabilities and load
  • Conflict Resolution: Handle competing goals and resource disputes
  • Synchronization: Keep agents aligned on timing and state
  • Best Practices: Proven patterns for scalable coordination