strands-agents

Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.

Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.

A set of tools that gives agents powerful capabilities.

Natural language workflows that enable AI agents to perform complex, multi-step tasks with consistency and reliability.

Agent samples built using the Strands Agents SDK.

A small, fast decision model, or system one model, for agentic workflows. Pick between options or rate on a scale faster than an LLM, with a calibrated confidence on every decision.

A model-driven approach to building AI agents in just a few lines of code.

Run AI agents in a sandbox that restricts what they can execute, read, write, and reach on the network. Box combines OS isolation with default-deny Dogwood policies and credential injection that keeps secrets outside the agent. Written in Rust. Supports macOS on Apple silicon, with Linux support planned.

An example agent demonstrating streaming, tool use, and interactivity from your terminal. This agent builder can help you to build your own agents and tools.

Python functions powered by AI agents - with runtime post-conditions for reliable agentic workflows.

This MCP server provides documentation about Strands Agents to your GenAI tools, so you can use your favorite AI coding assistant to vibe-code Strands Agents.

Dapr SDK for Python: build durable AI agents and resilient microservices with workflows, actors, state, pub/sub and the LLM Conversation API, plus LangGraph and Strands integrations for fault-tolerant agentic apps.

Build Agentic AI solutions on AWS, using latest OSS Agentic Frameworks.

A comprehensive evaluation framework for AI agents and LLM applications.

Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB

Control robots and physical hardware with natural language through Strands Agents.

Documentation for the Strands Agents SDK. A model-driven approach to building AI agents in just a few lines of code.

Reference architecture for agentic AI chatbots with Strands Agents and Amazon Bedrock AgentCore

Learn to build AI agents with Strands framework. Covers LLM integration via Amazon Bedrock/Anthropic, AWS service connections, tool implementation with MCP/A2A protocols, and agent evaluation using LangFuse/RAGAS.

Agent Skills implementation for Strands Agents SDK