Choosing the Right Multi-Agent Architecture

Multi-agent architectures provide solutions for handling complex tasks by distributing responsibilities across specialized agents, each with distinct capabilities and context management strategies. As applications scale and the need for coordination across diverse domains grows, constraints such as context management and distributed development arise, making multi-agent systems advantageous. Four primary architectural patterns—subagents, skills, handoffs, and routers—offer different approaches to task coordination and state management. Subagents involve centralized orchestration with a main agent coordinating stateless subagents, suitable for applications requiring centralized control. Skills pattern introduces progressive disclosure, enabling a single agent to load specialized prompts on demand, beneficial for scenarios with many specializations. Handoffs facilitate state-driven transitions, allowing agents to switch dynamically based on context, ideal for sequential workflows. Routers implement parallel dispatch and synthesis, directing queries to specialized agents and synthesizing results, useful for applications needing parallel query execution across distinct domains. Performance evaluations indicate that the choice of pattern impacts latency, cost, and user experience, with each pattern offering unique advantages depending on the workload requirements.