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, 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.