When many agents work together—roles, coordination, and orchestration.
When many agents work together—roles, coordination, and orchestration.
Complex goals can be split among specialists: one agent searches, another summarizes, another takes action. Multi-agent systems scale to broader tasks but need coordination.
Orchestration assigns tasks, passes context and results between agents, and handles failures. It can be hierarchical (a "conductor" LLM delegates) or more horizontal (agents as peers). Hierarchical can create bottlenecks; horizontal can be slower but more flexible.
Resource conflicts, bottlenecks, and cascading failures are risks. Clear roles, well-defined interfaces, and observability help keep multi-agent systems reliable.
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