Six core patterns of multi-agent workflow (Supervisor / Sequential / Hierarchical / Network / Swarm / Map-Reduce), grounded in primary sources from LangGraph, CrewAI, OpenAI, and Anthropic. Each pattern's topology and fit, plus a decision framework for production.
Anthropic reports 90.2% gains from multi-agent. Cognition publishes 'Don't Build Multi-Agents'. A side-by-side reading of the two camps' primary sources, plus a decision framework for single vs multi.
Six core patterns of multi-agent workflow (Supervisor / Sequential / Hierarchical / Network / Swarm / Map-Reduce), grounded in primary sources from LangGraph, CrewAI, OpenAI, and Anthropic. Each pattern's topology and fit, plus a decision framework for production.
Anthropic reports 90.2% gains from multi-agent. Cognition publishes 'Don't Build Multi-Agents'. A side-by-side reading of the two camps' primary sources, plus a decision framework for single vs multi.