When should I use an agent swarm vs. a single agent?

Use swarms when the task is parallelizable (many independent sub-tasks), time-sensitive (results needed fast), and each sub-task is relatively simple. Use a single agent or small multi-agent team when tasks are sequential, require deep reasoning, or need shared context across steps.

Agent Swarm

Written by Max Zeshut

Founder at Agentmelt

A multi-agent architecture where numerous lightweight, specialized agents collaborate on a task simultaneously—each handling a small part of the work and coordinating through shared state or message passing. Unlike traditional multi-agent systems with fixed roles, swarms dynamically allocate work and scale the number of active agents based on task complexity. Swarms excel at parallelizable tasks: researching dozens of leads at once, processing a batch of support tickets, or testing multiple code paths simultaneously.

Пример

A sales team needs to research 200 prospects before an event. An agent swarm spins up 50 parallel research agents, each investigating 4 prospects—gathering company data, recent news, tech stack, and potential pain points—and delivers all 200 dossiers in 15 minutes instead of days.

Часто задаваемые вопросы

When should I use an agent swarm vs. a single agent?: Use swarms when the task is parallelizable (many independent sub-tasks), time-sensitive (results needed fast), and each sub-task is relatively simple. Use a single agent or small multi-agent team when tasks are sequential, require deep reasoning, or need shared context across steps.

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