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Agent Coordination Patterns

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

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Allocation Strategies

Task allocation determines which agent performs which task. The right strategy depends on system architecture, agent capabilities, and performance requirements. Each approach has trade-offs between simplicity, efficiency, and scalability.

Interactive: Strategy Comparison Tool

Explore different task allocation strategies:

Centralized Allocation

A manager agent assigns tasks to workers

Allocation Process:
1
Manager receives tasks
2
Analyzes worker status
3
Assigns to best worker
4
Tracks completion
✓ Advantages:
  • +Simple to implement
  • +Clear oversight
  • +Optimal assignment
✗ Disadvantages:
  • −Single point of failure
  • −Manager bottleneck
  • −Less scalable
Efficiency Rating:75%
Best For: Small teams, hierarchical systems

🎯 Selection Guide

Centralized: Use for small teams with clear hierarchy

Auction: Use for market-like systems with competitive agents

Contract Net: Use when quality and negotiation matter

Capability: Use for specialized agents with clear skills

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