Agent Coordination Patterns
Master how AI agents coordinate tasks, resolve conflicts, and achieve shared goals
Your Progress
0 / 5 completedThe 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:
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Agent Visualization:
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Coordination Metrics:
Complexity:None
Potential Connections:
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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