Strands Agents Samples

What does this agent do, and when should you use it?

Strands Agents Samples is a Python and TypeScript example repository built around the Strands Agents SDK. Its Python collection covers SDK fundamentals, multi-agent systems, streaming, deployment, integrations, industry examples, technical patterns, evaluation, UX demos, and edge-device work. The TypeScript collection includes SDK tutorials and AgentCore deployment patterns. The minimal examples construct an Agent, send it a prompt, and print the returned response to the console. The repository explicitly positions every example as educational and demonstrative, so production users must add their own security and testing practices.

After model-provider and model-access setup, a developer installs strands-agents and strands-agents-tools for Python, or @strands-agents/sdk for TypeScript. The Python starter imports Agent from strands, creates agent = Agent(), calls agent("Hello! Tell me a joke."), and prints response. The TypeScript starter imports Agent from @strands-agents/sdk, creates it with systemPrompt, calls await agent.invoke("Hello! Tell me a joke."), and logs response.toString(). Repository directories also organize patterns for Lambda, Fargate, and AgentCore deployment, plus examples concerning AWS services, databases, third-party tools, evaluations, and UI applications.

1. A Python developer who wants to validate a first Agent invocation before moving on to SDK fundamentals, streaming, or multi-agent systems.
2. An engineering team looking for reference patterns when considering Strands Agents on AWS Lambda, Fargate, or AgentCore.
3. An integration developer exploring examples that combine an agent with AWS services, databases, or third-party tools.
4. A prototyping team in finance, healthcare, retail, or productivity that wants to start from industry-organized examples.
5. A technical practitioner investigating Agentic RAG, evaluation tutorials, testing patterns, or full-stack UI demonstrations.
6. A developer exploring edge-device, physical-AI, or robotics integration examples.

How do you install or deploy this agent?

Python requires Python 3.10+ and pip. Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate

Then install:

pip install strands-agents strands-agents-tools

TypeScript requires Node.js 18+ and npm or yarn. Install:

npm install @strands-agents/sdk

Both paths require model-provider and model-access configuration first. The supplied material does not specify credential names, environment variables, or configuration commands.

How do you use this agent?

First Python invocation:

from strands import Agent

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

First TypeScript invocation:
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();

Configure model-provider and model access before running either example; the supplied material does not include copyable configuration steps.

What are this agent's strengths and limitations?

How does this agent compare with similar options?

Key facts side by side with the most closely related agents.

How does FollowAgents rate this agent?

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