Agent Swarm Orchestration Overview Coordinate multiple AI agents working together on complex tasks. Design topologies, implement routing, handle handoffs, share memory, and enforce quality gates. Instructions Why multi-agent? Single-agent limitations: context window fills up, generalist performance degrades on specialist tasks, no parallel execution, single point of failure. Multi-agent benefits: focused expertise per agent, parallel subtasks, quality agents review others' work, failed agents retry without losing all progress. Topologies Orchestrator pattern Router pattern Shared memory Quali…