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Basic Information

This repository is a curated collection of example projects and tutorials that demonstrate how to build AI agents with the Strands Agents ecosystem. It provides a model-driven approach and quickstart guidance so developers and learners can prototype agents in a few lines of code. The README documents installation commands for the core packages, a short walkthrough to configure a model provider, and a minimal working agent example that shows how to combine tools and run an agent. The samples are explicitly for demonstration and educational use and are not intended for direct production deployment. The repo also points to related projects in the Strands ecosystem and includes contribution, license, and security notes to guide collaborators.

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Features
The repository contains step-by-step Getting Started instructions and runnable code snippets that illustrate core agent patterns. It includes sample tools and a decorator example and shows integration of utilities like a calculator, current time tool, and a python REPL alongside a custom letter counter. There are organized example folders referenced for beginners and intermediate users, including a tutorials area for notebooks and a samples folder for real-world use cases. The README highlights package installation commands, model provider setup, and a concise first-agent example. The project also includes contribution guidance, a license declaration, and a security section to inform safe experimentation.
Use Cases
This sample collection helps developers learn Strands Agents quickly by providing practical examples, notebooks, and a minimal working agent pattern to adapt and extend. It accelerates prototyping by showing how to install the SDK, configure model providers, and compose tools into an agent workflow. The examples demonstrate testing and interactive use via a python REPL tool and simple utilities, which makes it easier to validate behavior before further development. The tutorials and organized sample folders help users explore core functionalities and real-world scenarios. Contribution guidance and license information support community involvement while the security note reminds users to apply production-grade practices before deployment.

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