Multi-agent systems and single AI agents represent two distinct ways to build autonomous software, and the choice shapes cost, speed, and reliability.
One agent handles focused tasks with little overhead, while several coordinated agents tackle complex, multi-step work.
This guide compares architecture, trade-offs, and real-world use cases so you can select the right design with confidence. Each section builds toward a practical decision framework.