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samples

mcp
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  • License — License: Apache-2.0
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Community trust — 712 GitHub stars
Code Warn
  • process.env — Environment variable access in .github/workflows/ash-pr-comment.yml
  • fs module — File system access in .github/workflows/ash-pr-comment.yml
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Purpose
This repository provides educational, sample AI agent implementations built using the Strands Agents Python SDK. It is designed to help developers learn the basics of a model-driven approach to building AI agents.

Security Assessment
Overall Risk: Low. The project does not request any dangerous permissions. The rule-based scan flagged environment variable and filesystem access, but these warnings are strictly limited to a GitHub Actions workflow file (ash-pr-comment.yml). Because these capabilities exist only within the repository's automated CI/CD pipeline, they do not impact the security or integrity of the actual sample code you would run locally. There are no hardcoded secrets found in the codebase, though users should be aware that standard AI agent tools routinely make network requests to external APIs and models.

Quality Assessment
This is a highly trustworthy and well-maintained open-source project. It uses the standard Apache-2.0 license, making it suitable for both personal and commercial use. The maintainers are highly active, with the most recent code push happening today. Furthermore, it has garnered over 700 GitHub stars, reflecting strong community trust and widespread interest. It is important to note that the developers explicitly state this code is for demonstration and educational purposes, and is not intended to be run directly in production environments without proper security hardening and testing.

Verdict
Safe to use for learning, but implement with caution if adapting the samples for production environments.
SUMMARY

Agent samples built using the Strands Agents SDK.

README.md

Strands Agents Samples

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

GitHub commit activity GitHub open issues GitHub open pull requests License

Documentation ◆ Samples ◆ Python SDK ◆ TypeScript SDK New ◆ 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 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:
      # 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

# 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

pip install strands-agents strands-agents-tools

Your First Agent:

from strands import Agent

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

Explore Python tutorials →

TypeScript TypeScript

Prerequisites:

  • Node.js 18 or higher
  • npm or yarn package manager

Install:

npm install @strands-agents/sdk

Your First Agent:

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

License

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

Security

See CONTRIBUTING for more information.

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