Unlock Multi-Agent AI Potential with Nova and Strands SDK

Multi-agent generative AI systems address complex tasks by combining specialized AI agents, but they demand high computational resources. Amazon Nova serves as an ideal foundation model, offering blazing throughput with Nova Micro streaming over 200 tokens per second and sub-second first-token latency, ensuring agents remain highly responsive. Its constrained decoding capability provides consistent structured outputs, enhancing tool-calling accuracy. Crucially, Nova Micro and Nova Lite deliver ultra-low costs, making the extensive token volume required for multi-agent reasoning economically viable.

This cost-efficiency enables developers to leverage orchestration frameworks like the open-source Strands Agents SDK without incurring prohibitive inference bills. Strands is a lightweight, model-driven SDK that empowers the foundation model to determine task sequences, minimizing hardcoded logic. It enhances Nova’s capabilities by facilitating iterative self-improvement through agent reflection and regeneration, and by implementing redundancy and fail-over mechanisms for superior answer quality and resilience.

The article details four key multi-agent collaboration patterns, all implementable with Strands and Nova. The “Agents as Tools” pattern creates a hierarchical structure where an orchestrator delegates tasks to specialized sub-agents, promoting modularity and clear decision-making for diverse tasks. The “Swarm” pattern involves decentralized peer agents exchanging information iteratively, fostering diverse perspectives and emergent improvement for brainstorming and complex reasoning. The “Graph” pattern defines a structured network of agents with directed connections, offering fine-grained control over information flow and predictable execution for intricate enterprise workflows. Lastly, the “Workflow” pattern orchestrates agents in a predefined sequence or directed acyclic graph (DAG), emphasizing task ordering, dependency management, and robust error handling for multi-step processes like intelligent document processing.

Ultimately, the synergy between Amazon Nova‘s performance and cost benefits and Strands Agents SDK’s flexible orchestration empowers teams to build and scale sophisticated multi-agent generative AI applications, achieving results greater than the sum of their individual parts.

(Source: https://aws.amazon.com/blogs/machine-learning/multi-agent-collaboration-patterns-with-strands-agents-and-amazon-nova/)