What is Multi-Agent Orchestration?
A design pattern where multiple specialized AI agents collaborate, delegate, and coordinate to complete complex tasks.
Multi-agent orchestration involves decomposing a large problem into sub-tasks handled by different specialized agents, each with its own skills, context, and constraints. An orchestrator agent—or a structured workflow—coordinates which sub-agent runs when, passes relevant context between them, resolves conflicts, and aggregates results. This pattern enables scaling beyond what a single model invocation can achieve, allows different agents to use different models or tools, and provides natural boundaries for error isolation and retry logic. It mirrors how human teams divide labor by expertise.