Strands Agents and the Model-Driven Approach

This article introduces the Strands Agents SDK, a model-driven approach to building AI agents that shifts away from traditional rigid orchestration frameworks to a more dynamic, intelligent system.

• Modern large language models can now drive their own behavior and make intelligent decisions about tool usage
• The approach emerged from AWS teams' experiences building agents for products like Amazon Q Developer
• Key benefits include more resilient agents that can adapt to unexpected scenarios
• Strands provides four main multi-agent coordination patterns:
  • Agents-as-tools (hierarchical)
  • Swarms (autonomous collaboration)
  • Graphs (structured workflows)
  • Meta agents (dynamic orchestration)
• Developers guide agent intelligence through context, not rigid control structures

The model-driven approach represents a paradigm shift from controlling every agent behavior to providing tools and objectives, then letting the model determine the best approach dynamically.