Blog
News and updates from the Strands Agents team.
How Steering Hooks Achieved 100% Agent Accuracy Where Prompts and Workflows Failed
Steering hooks achieved a 100% accuracy pass rate across 600 evaluation runs, compared to 82.5% for simple prompt-based instructions and 80.8% for graph-based workflows.
Runtime Guardrails for Strands Agents with Agent Control
Define what your Strands agents can and can't do at runtime, without changing a line of agent code.
Introducing Strands Labs: Get hands-on today with state-of-the-art, experimental approaches to agentic development
Strands Labs is a new GitHub organization designed to give developers the ability to get hands-on with experimental, state-of-the-art approaches to agentic AI development.
Introducing Strands Agent SOPs – Natural Language Workflows for AI Agents
Agent SOPs are a standardized markdown format for defining AI agent workflows in natural language that balances flexibility and control.
Strands Agents and the Model-Driven Approach
Learn how the model-driven approach in Strands Agents SDK lets modern LLMs drive their own behavior, making agents more resilient and adaptable.
Introducing Strands Agents 1.0: Production-Ready Multi-Agent Orchestration Made Simple
Strands Agents 1.0 brings multi-agent patterns, A2A protocol support, and production-ready features to the open source SDK.
Introducing Strands Agents, an Open Source AI Agents SDK
Strands Agents is an open source SDK that takes a model-driven approach to building and running AI agents in just a few lines of code.