AI AGENT AUTOMATIONS
Orchestration Patterns
Coordinate Multiple Agents
Design multi-agent systems that work. Supervisor, hierarchical, swarm, and routing patterns for complex workflows.
"Good orchestration makes complex tasks feel simple. Bad orchestration makes simple tasks impossible."
When a single agent isn't enough, orchestration patterns help you coordinate multiple agents effectively. The supervisor pattern uses a central coordinator to delegate and synthesize. Hierarchical patterns add layers for complex task decomposition. Swarm patterns enable massive parallelization. Routing patterns dynamically assign work based on content. Understanding these patterns helps you design systems that scale without becoming unmanageable.
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Use Cases
Common Pitfalls
Start with single agent, add complexity only when needed
Supervisor pattern is the most common starting point
Clear task boundaries make orchestration easier
State management is critical for complex workflows
Parallel execution requires careful coordination
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Frequently Asked Questions
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