01-tutorials

Getting started with Strands SDK

In this folder we will provide Jupyter Notebook examples on how to get started with different Strands Agents functionalities.

Fundamentals

Example	Description	Features showcased
F1	Creating First Strands Agent	Agent initialization, usage of a default tool, creation of custom tools
F2	Model Providers - OpenAI	Create agent with GPT 4.0 as model
F2	Model Providers - Ollama	Create agent with Ollama model
F3	Connecting with AWS services	Connecting to Amazon Bedrock Knowledge Base and Amazon DynamoDB
F4	Tools - Using MCP tools	Integrating MCP tool calling to your agent
F4	Tools - Custom Tools	Creating and using custom tools with your agent
F5	Streaming response from agent	Streaming your agent's response using Async Iterators or Callbacks (Stream Handlers)
F6	Integrating Bedrock Guardrail	Integrate an Amazon Bedrock Guardrail to your agent
F7	Adding memory to your agent	Personal assistant using memory and websearch tools
F8	Observability and Evaluation	Adding observability and evaluation to your agent

Multi-Agent Systems

Example	Description	Features showcased
M1	Using Agent as tool	Create a multi-agent collaboration example using an agent as tool
M2	Creating a Swarm Agent	Create a multi-agent system consisting of multiple AI agents working together
M3	Creating a Graph Agent	Create a structured network of specialized AI agents with defined communication patterns

Deployment

Example	Description	Features showcased
D1	AWS Lambda Deployment	Deploying your agent to an AWS Lambda Function
D2	AWS Fargate Deployment	Deploying your agent to AWS Fargate