Section guide
Multi-Agent Systems
Topology choices, delegation, supervisors, parallelism, and consensus.
Use when one agent is not enough and work must be split or coordinated.
Leave able to choose a topology and preserve ownership when work splits across agents.
A topology map with role contracts, merge policy, transcript, and escalation path.
Reading order
6 chapters- 01 Choosing Multi-Agent Topology Guide · Advanced 10-20 min read Architect · Builder
Choosing Multi-Agent Topology helps decide when to use supervisors, delegation, parallel agents, consensus, or simpler single-agent designs.
- 02 Task Delegation Pattern · Advanced 12-25 min pattern review Architect · Builder
Task delegation assigns bounded subtasks to specialized workers and combines their outputs.
- 03 Supervisor / Worker Pattern · Advanced 12-25 min pattern review Architect · Builder
Supervisor/Worker centralizes goal ownership, task state, routing, and quality gates while workers perform bounded specialist work.
- 04 Debate and Consensus Pattern · Advanced 12-25 min pattern review Architect · Builder
Debate and consensus use multiple independent proposals, critiques, votes, or rankings before producing a final answer.
- 05 Parallel Agents Pattern · Advanced 12-25 min pattern review Architect · Builder
Parallel agents run independent work concurrently, then merge results through a fan-out/fan-in control point.
- 06 CrewAI Flows and Crews Pattern · Advanced 12-25 min pattern review Architect · Builder
CrewAI Flows own state and execution order. Crews group specialized agents that collaborate on delegated work inside the flow.