agent-orchestrate

To coordinate agents in parallel, you spawn multiple independent subagents and monitor their messaging to wait for all results. This parallel fan-out pattern achieves reliable parallelism and fast outcomes for complex workflows.

The best way to chain agent outputs is using pipeline patterns where the output of one task feeds directly into subsequent agents. This structured orchestration ensures orderly workflows and prevents errors in sequential processing.

Yes, you can manage dependency trees and human-in-the-loop checkpoints by applying structured orchestration mechanisms. This handles prerequisites and human checkpoints to keep workflows progressing through complex cooperative agent tasks.

Agent supervision handles failures and timeouts through robust error handling and state management. It monitors, steers, and recovers subagents from errors to keep workflows progressing reliably without manual intervention.

You need an orchestration mechanism when coordinating multiple intelligent agents becomes error-prone or inefficient. It provides necessary modular primitives, state management, and timeouts for complex parallel research or decision support scenarios.