Awesome AI Agents › Courses and Tutorials
This repository holds the official sample code for Strands Agents, an SDK from AWS for building model-driven AI agents in a small amount of code. It is a learning resource rather than a library: the maintainers state that the examples are for demonstration and education and are not meant to be deployed as-is without additional security and testing work. Quick-start sections show the minimal agent in both supported languages, installing strands-agents and strands-agents-tools from pip for Python 3.10 or newer, or @strands-agents/sdk from npm for Node 18 or newer, and pointing the SDK at a configured model provider. The Python samples are grouped into numbered tracks: 01-learn covers SDK fundamentals, multi-agent systems and streaming; 02-deploy shows deployment patterns for AWS Lambda, Fargate and Bedrock AgentCore; 03-integrate connects agents to AWS services, databases and third-party tools; 04-industry-use-cases collects applications in finance, healthcare, retail and productivity; 05-technical-use-cases documents architectural patterns including agentic RAG; 06-evaluate covers evaluation and testing; 07-ux-demos contains full-stack applications with user interfaces; and 08-edge covers edge device integrations including physical AI and robotics. The TypeScript side currently mirrors the first two tracks, with SDK tutorials and AgentCore deployment patterns. Because the SDK itself supports many model backends, the samples touch Amazon Bedrock, Anthropic, OpenAI, LiteLLM, Llama and Ollama, along with MCP tooling and OpenTelemetry-based observability. The repository is part of a wider set of projects that includes the Python and TypeScript SDKs, a tools package, an agent builder and an MCP server, and it is the recommended entry point for developers evaluating Strands or looking for a working reference implementation of a specific agent pattern.
https://github.com/strands-agents/samples
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