Glossary
Multi-Agent System
A system where multiple AI agents cooperate to complete work no single agent could.
Definition
A multi-agent system decomposes a complex task among specialized AI agents that each own a subtask, then coordinate results through a defined protocol. Common patterns: a planner-executor pair, a debater-critic pair, or a supervisor with domain-specific worker agents.
Context
Multi-agent architectures are increasingly common in enterprise deployments for tasks that resist single-agent solutions — research assistants that dispatch multiple search agents in parallel, code review systems with distinct reviewer specialties, or operations agents where a planner delegates to executor agents. The complexity trade-off is real: multi-agent systems are harder to debug and evaluate than single agents.