A model-driven approach to building AI agents in just a few lines of code.
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 model-driven approach to building AI agents in just a few lines of code.
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.
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.
Build Agentic AI solutions on AWS, using latest OSS Agentic Frameworks.
Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB
Documentation for the Strands Agents SDK. A model-driven approach to building AI agents in just a few lines of code.
A comprehensive evaluation framework for AI agents and LLM applications.
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
A full-stack AI chat application powered by Amazon Bedrock and Strands Agents
Amazon Bedrock AgentCore – Multi Framework Examples
Durable Execution for AI Agents built with Strands Agents and Temporal
Minimalist AI agent that fixes itself when things break.
Experimental: MLX model provider for Strands Agents - Build, train, and deploy AI agents on Apple Silicon.
A full-stack conversational AI starter kit built with Amazon Bedrock AgentCore, Strands Agents SDK, FastAPI, and htmx.
Add a description, image, and links to the strands-agents topic page so that developers can more easily learn about it.
To associate your repository with the strands-agents topic, visit your repo's landing page and select "manage topics."