The Sequence Engineering #681: Building Agents with Amazon Strands
A deep dive into Amazon's main agentic framework.
Amazon Strands Agents is an open-source, model-driven AI agent framework designed to harness the reasoning capabilities of large language models (LLMs). The framework enables these models to autonomously plan, select tools, execute tasks, and reflect on outcomes, forming a complete agentic loop without requiring developers to explicitly program workflows. It achieves this by connecting three essential primitives—model, tools, and prompt—allowing developers to construct intelligent agents with minimal code.
This essay provides a deep technical overview of Amazon Strands. It covers the core architecture, the agentic loop, tool integration, deployment strategies, multi-agent capabilities, and observability mechanisms. The essay also includes detailed Python code examples that illustrate the practical implementation of these features.