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Agent Coordination Patterns

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

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Synchronization Mechanisms

Synchronization ensures agents coordinate their actions in time. Without proper synchronization, race conditions, deadlocks, and inconsistent states can occur. Different patterns suit different coordination needs.

Interactive: Synchronization Simulator

Watch how different synchronization patterns work:

Barrier Synchronization

All agents must reach a checkpoint before any can proceed

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Agent 1Ready
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Agent 2Ready
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Agent 3Ready

Agent 1 working...

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Best Use Case:

Parallel processing phases, coordinated checkpoints

🔧 Pattern Comparison

Barrier: Wait for all before proceeding

Lock: Serialize access to resources

Consensus: Agree on shared decisions

Event: React to broadcasts

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