Agent Orchestration Patterns
Patterns · 5 min
How do you coordinate multiple AI agents? There are proven patterns for that.
1. Sequential Pattern
Agent A → Agent B → Agent C. Each waits for the previous.
Research → Summary → Translation2. Parallel Pattern
Several agents work simultaneously on different tasks.
Research A → \ Research B → \ Research C → Aggregate
3. Hierarchical Pattern
Manager coordinates sub-managers who coordinate workers.
4. Hub & Spoke
Central hub connects to all agents, routes requests.
5. Pipeline
Data flows through agents like a pipeline. Each transforms the data.
When to Use What
| Pattern | Best For |
|---|---|
| Sequential | Dependent tasks |
| Parallel | Independent tasks |
| Hierarchical | Large teams |
| Hub & Spoke | Simple routing |
| Pipeline | Data transformation |
Related articles
What is Agent Orchestration?
Agent Orchestration coordinates multiple specialized AI agents. Roles, communication flow, and why it beats a single LLM.
Task Delegation Pattern
Orchestrator assigns tasks to specialized agents. Routing, priorities, deadlines.
Safety Hooks Pattern
Guardrails, output validation, memory capture as automatic security layer.
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