AI Agents in Practice

7

Multi-Agent Applications

Until now, we’ve explored how to build powerful single-agent systems—intelligent entities that leverage tools, knowledge, memory, and orchestration layers to solve complex tasks. These agents can be highly capable when properly configured, drawing on vast knowledge and integrations to act independently. However, the true potential of agentic systems begins to unfold when we move beyond the solitary agent.

Just as humans rely on teams with diverse roles and expertise, AI systems can benefit immensely from having multiple agents working in tandem, each with its own specialization, perspective, or function.

This chapter explores how agents can communicate, coordinate, and cooperate to complete tasks that would be difficult—or ...