[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"glossary-multi-agent-system::en":3,"gloss-cluster-multi-agent-system::en":23,"gloss-next-multi-agent-system::en":9},{"slug":4,"category":5,"name":6,"definition":7,"meta_desc":8,"faq":9,"schema_markup":9,"related":10},"multi-agent-system","agents","Multi-Agent System","A multi-agent system decomposes a task across several LLM agents with distinct roles — a researcher, a coder, a reviewer, a planner — that communicate to produce a result no single prompt handles well. Common topologies include orchestrator–worker (a lead agent delegates subtasks), pipelines (each agent transforms the previous agent's output), and debate (agents critique each other before a verdict). The appeal is separation of concerns: each agent gets a focused system prompt, its own tools, and a smaller context, which usually beats one overloaded mega-prompt on complex work. The costs are real, though — token spend multiplies, latency stacks, and errors propagate between agents, so failures are harder to trace. Practical guidance for SaaS teams: start with one agent, split only when a role demonstrably degrades quality, and add tracing plus per-agent evals so you can see which link in the chain broke.","A multi-agent system splits work across specialized LLM agents — planner, coder, reviewer — that coordinate to solve tasks one prompt can't.",null,[11,14,17,20],{"slug":12,"name":13},"agent-handoff","Agent Handoff",{"slug":15,"name":16},"agent-loop","Agent Loop",{"slug":18,"name":19},"autonomous-agent","Autonomous Agent",{"slug":21,"name":22},"orchestrator-worker","Orchestrator-Worker Pattern",[24,28,32,33,34,37,40,43,46,49,52,55],{"slug":25,"category":5,"name":26,"updated_at":27},"agent-budget","Agent Budget","2026-08-24T02:46:37+00:00",{"slug":29,"category":5,"name":30,"updated_at":31},"agent-checkpointing","Agent Checkpointing","2026-08-24T02:46:38+00:00",{"slug":12,"category":5,"name":13,"updated_at":27},{"slug":15,"category":5,"name":16,"updated_at":27},{"slug":35,"category":5,"name":36,"updated_at":27},"agent-memory","Agent Memory",{"slug":38,"category":5,"name":39,"updated_at":31},"agent-sandbox","Agent Sandbox",{"slug":41,"category":5,"name":42,"updated_at":31},"agent-trajectory","Agent Trajectory",{"slug":44,"category":5,"name":45,"updated_at":27},"agentic-rag","Agentic RAG",{"slug":47,"category":5,"name":48,"updated_at":31},"computer-use","Computer Use",{"slug":50,"category":5,"name":51,"updated_at":27},"context-engineering","Context Engineering",{"slug":53,"category":5,"name":54,"updated_at":31},"dry-run","Dry Run",{"slug":56,"category":5,"name":57,"updated_at":58},"escalation-path","Escalation Path","2026-08-24T03:30:02+00:00"]