AWS has unveiled Strands Agents, an open-source SDK that redefines how developers build and deploy AI agents. Designed to eliminate the complexity of traditional agent frameworks, Strands lets developers create powerful AI agents using just a prompt, a model, and a list of tools.

What makes it special? Unlike legacy frameworks that require intricate orchestration and hardcoded workflows, Strands embraces a model-driven approach. This means developers can leverage the reasoning and tool-usage capabilities of state-of-the-art LLMs (like those in Amazon Bedrock, Anthropic, or Meta) to autonomously plan and complete tasks.

Whether it’s answering user questions, generating code, calling APIs, or orchestrating multi-agent workflows, Strands handles it seamlessly. Developers can use simple Python functions as tools, build multi-agent collaboration via graph and swarm patterns, and even use pre-built utilities for retrieval, testing, and deep thinking.

Strands is already used in production by AWS teams like Amazon Q Developer, AWS Glue, and VPC Reachability Analyzer. By minimizing development friction, it allows teams to ship agents in days instead of months.

With growing community support from Meta, Anthropic, PwC, and others, Strands is fast becoming a foundational tool for AI agent development.