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Glossary

Multi-agent system

Multiple specialized agents collaborating — typically a router/orchestrator that delegates to sub-agents.

  1. Glossary
  2. Multi-agent system

Definition

Multiple specialized agents collaborating — typically a router/orchestrator that delegates to sub-agents.

In practice

Common pattern: a planner agent breaks down the task, sub-agents (researcher, writer, classifier) each handle a slice, an aggregator combines results. Useful for tasks that genuinely span domains. Risky for the same reason — every additional agent multiplies the failure surface. Don't reach for multi-agent until single-agent + tools has clearly failed.

See it in action

  • AI SDR Agent (Multi-Channel)
  • AI Client Onboarding Agent

Related terms

  • OrchestratorThe top-level agent or workflow engine that decides which sub-agent or tool to invoke next.
  • MCP (Model Context Protocol)An open protocol for connecting LLMs to external data sources and tools through a standard interface.
  • Human-in-the-loop (HITL)An agent design where a human approves or corrects an action before it ships.
  • GuardrailsHard rules that constrain what an agent can say, do, or output — independent of the model's judgment.
All glossary termsSee advanced workflows

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