AI & models
Multi-agent system
Multi-agent orchestration · Agent orchestration
A multi-agent system is several AI agents working on one job at the same time, each handling a piece, instead of a single agent doing everything in sequence. Usually one 'lead' agent breaks the goal into parts, hands each to a teammate or
subagent, and combines the results. You get breadth — many angles explored at once — and isolation, since each agent keeps its own clean context window. Why it matters
Part of Agent teams and parallel work → It's the shape behind Claude Code's Agent Teams and Workflows — knowing the pattern explains why 'spawn ten agents' is often faster and tidier than one giant conversation.
see also