Blog
News and updates from the Strands Agents team.
Introducing Strands Agents TypeScript 1.0: Build Production Agents in TypeScript
Version 1.0 of the Strands Agents TypeScript SDK is here. Build type-safe AI agents with full model provider support, custom tools, plugins, and multi-agent orchestration in Node.js and the browser.
The Strands Agents Community Has a New Home
The Strands Agents Discord server is live. A place for builders to get real-time help, share what they've built, and connect with the Strands team.
ToolSimulator: scalable tool testing for AI agents
ToolSimulator is an LLM-powered framework within Strands Evals that enables safe, scalable agent testing by using simulated tool responses instead of risky live API calls.
Strands Agents TypeScript SDK: Build AI Agents in TypeScript
The Strands Agents TypeScript SDK brings the model-driven approach to the TypeScript ecosystem. Build type-safe AI agents that run in Node.js and the browser.
Simulate realistic users to evaluate multi-turn AI agents in Strands Evals
ActorSimulator in the Strands Evals SDK enables teams to test conversational agents through realistic, goal-driven simulated users rather than relying on static test cases or manual testing.
Evaluating AI agents for production: A practical guide to Strands Evals
Learn how to systematically evaluate AI agents using Strands Evals, covering core concepts like cases, experiments, evaluators, multi-turn simulation capabilities, and practical integration patterns for production deployment.
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.
Building intelligent physical AI: From edge to cloud with Strands Agents, Bedrock AgentCore, Claude 4.5, NVIDIA GR00T, and Hugging Face LeRobot
Learn how to build physical AI systems that combine edge computing with cloud intelligence using Strands Agents, NVIDIA GR00T, and Hugging Face LeRobot.
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.
Using Strands Agents with Claude 4 Interleaved Thinking
Learn how to use Claude 4's interleaved thinking beta feature with Strands Agents for faster, more fluid reasoning and reduced tool calls.
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.