Agentcore-samples is a collection of sample implementations for Amazon Bedrock Agentcore, a framework that accelerates AI agents into production with built-in scale, reliability, and security.
The project addresses the challenge of moving AI agents from prototype to production by providing reference implementations that demonstrate how to use Agentcore's core capabilities. Agentcore handles the infrastructure concerns that production deployments require: it manages authentication and identity, handles memory management for agent state, provides a gateway layer for routing, and offers a runtime environment designed for real-world workloads. The samples show developers how to integrate these components into their own agent applications.
Developers building production AI agents should use these samples to understand how Agentcore's authentication, memory, and gateway systems work in practice. The project is most relevant for teams deploying agents on AWS infrastructure who need production-grade reliability and security rather than experimental prototypes. The samples are written in Python, making them accessible to developers working in that language.
The project maintains a focused set of sample implementations that illustrate core patterns without attempting to be exhaustive. Development activity shows consistent attention to the samples as working reference code, with updates that keep pace with changes to the underlying Agentcore platform.
