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

Pipeline (sequential):
Task → Agent A → Agent B → Agent C → Result
Best for: Linear workflows (Spec → Code → Test → Deploy)