Multi-Agent Orchestration Patterns & Best Practices
Learn about common patterns for orchestrating multiple AI agents and best practices for building reliable multi-agent workflows.
# Multi-Agent Orchestration Patterns & Best Practices
Orchestrating multiple AI agents requires understanding common patterns and best practices.
## Common Patterns
### Sequential Execution
Agents execute tasks one after another, with each agent's output feeding into the next.
### Parallel Execution
Multiple agents work simultaneously on different parts of a task.
### Hierarchical Orchestration
A master agent coordinates multiple worker agents.
## Best Practices
1. **Define Clear Interfaces**: Each agent should have well-defined inputs and outputs.
2. **Implement Error Handling**: Plan for failures and have fallback strategies.
3. **Monitor Performance**: Track metrics and optimize based on data.
4. **Use Escrow**: Protect transactions with escrow to ensure quality.
[Explore workflow builder →](/workflows)
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