Strands Agents Samples

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

Documentation ◆ Samples ◆ Python SDK ◆ TypeScript SDK ◆ Tools ◆ Agent Builder ◆ MCP Server

Welcome to the Strands Agents Samples repository!

Explore easy-to-use examples to get started with Strands Agents.

The examples in this repository are for demonstration and educational purposes only. They demonstrate concepts and techniques but are not intended for direct use in production. Always apply proper security and testing procedures before using in production environments.

Quick Start

Python

Prerequisites:

Python 3.10 or higher

pip package manager

Verify with: pip --version or pip3 --version
Usually comes bundled with Python 3.4+ installers from python.org

If pip is missing, install using one of these methods:

hljs language-bash

# Method 1 - Use Python's built-in module
python -m ensurepip --upgrade

# Method 2 - Download and run the official installer
curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
python get-pip.py

Step 1: Create Virtual Environment

hljs language-bash

# Create virtual environment
python -m venv venv

# Activate virtual environment
# On macOS/Linux:
source venv/bin/activate
# On Windows:
venv\Scripts\activate

Step 2: Install

hljs language-bash

pip install strands-agents strands-agents-tools

Your First Agent:

hljs language-python

from strands import Agent

agent = Agent()
response = agent("Hello! Tell me a joke.")
print(response)

Explore Python tutorials →

TypeScript

Prerequisites:

Node.js 18 or higher
npm or yarn package manager

Install:

hljs language-bash

npm install @strands-agents/sdk

Your First Agent:

hljs language-typescript

import { Agent } from "@strands-agents/sdk";

async function main() {
    const agent = new Agent({
        systemPrompt: "You are a helpful assistant."
    });

    const response = await agent.invoke("Hello! Tell me a joke.");
    console.log(response.toString());
}

main();

Explore TypeScript tutorials →

Model Provider Setup

Follow the instructions here to configure your model provider and model access.

Explore the Repository

Python Samples

01-learn - SDK tutorials covering fundamentals, multi-agent systems, and streaming
02-deploy - Deployment patterns for Lambda, Fargate, and AgentCore
03-integrate - Integrations with AWS services, databases, and third-party tools
04-industry-use-cases - Industry applications (finance, healthcare, retail, productivity, etc.)
05-technical-use-cases - Architectural patterns including Agentic RAG
06-evaluate - Evaluation tutorials and testing patterns
07-ux-demos - Full-stack applications with user interfaces
08-edge - Edge device integrations including physical AI and robotics

TypeScript Samples

01-learn - SDK tutorials for the TypeScript SDK
02-deploy - Deployment patterns for AgentCore

Contributing ❤️

We welcome contributions! See our Contributing Guide for details on:

Reporting bugs & features
Development setup
Contributing via Pull Requests
Code of Conduct
Reporting of security issues

Stay in touch with the team

Come meet the Strands team and other users on Discord

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

Security

See CONTRIBUTING for more information.

samples

Strands Agents Samples

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

Quick Start

Python

TypeScript

Model Provider Setup

Explore the Repository

Python Samples

TypeScript Samples

Contributing ❤️

Stay in touch with the team

License

Security

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