Agents
Agent Orchestration
Agent orchestration is the coordination of multiple AI agents — assigning tasks, managing information flow between them, handling failures, and aggregating results into a final output. Common orchestration patterns include planner-executor, supervisor-worker, and event-driven pipelines.
Orchestration frameworks such as LangGraph, CrewAI, and Anthropic's multi-agent primitives provide the infrastructure for routing messages, enforcing context limits, and retrying failed sub-tasks. The orchestration layer is where most production bugs in multi-agent systems appear.
Agent Orchestration in practice
In business workflows, orchestration decides who does what when one request touches several systems: one agent classifies an incoming claim, a second gathers the documents, a third drafts the response, and a supervisor step routes exceptions to a person. Fixed sequences are often served well by a workflow engine with a single agent inside; orchestrating several agents pays off when the steps vary from case to case. Remolda designs these systems as multi-agent automation.
Related terms
- Multi-Agent System · Agents
- Autonomous Agent · Agents
- AI Agent · Agents