Agent Design Architecture

Multi-agent architecture design structures AI agent systems by defining roles, boundaries, and coordination patterns. You need it when building workflows that require multiple agents to collaborate safely and scale effectively across complex tasks.

To design an AI agent workflow, outline the architecture by selecting patterns like Tool-Using or Agentic Loop, defining agent capabilities, and planning safe tool integration to ensure robust system composition.

The best patterns for building scalable AI agents include Tool-Using, Agentic Loop, Planning, and Hierarchical designs. These patterns help structure capabilities, define boundaries, and coordinate multi-agent systems safely.

Yes, you can define boundaries in a multi-agent setup by applying capability design and system composition guidance. This ensures each agent has clear roles and safe tool integration within the overall architecture.

Ensure safe tool integration in agentic loops by following architecture guidance on capability design and boundary definition. This approach structures tool ecosystems securely within the agent's workflow.