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awslabs/agentcore-samples

Amazon Bedrock AgentCore provides a framework-agnostic and model-agnostic infrastructure for securely deploying and operating advanced AI agents at scale, with this repository offering practical samples and tutorials.

Core Features

Framework and Model Agnostic: Supports various AI agent frameworks (Strands, CrewAI, LangGraph, LlamaIndex) and any Large Language Model (LLM).

Scalable and Secure Deployment: Accelerates AI agents into production with built-in scale, reliability, and security.

Managed Infrastructure: Eliminates the heavy lifting of building and managing specialized agent infrastructure.

Core Capabilities Samples: Provides examples for Runtime, Gateway, Identity, Memory, Tools (Code Interpreter, Browser), and Observability.

CLI-driven Development: Facilitates rapid agent creation, development, and deployment using the AgentCore CLI.

Detailed Introduction

Amazon Bedrock AgentCore is a robust, cloud-native infrastructure designed to streamline the deployment and operation of AI agents in production environments. It offers unparalleled flexibility by being both framework-agnostic and model-agnostic, allowing developers to integrate agents built with popular tools like CrewAI or LangGraph, powered by any LLM. This repository, `agentcore-samples`, serves as a comprehensive guide, offering practical examples and tutorials to help users leverage AgentCore's capabilities, including secure runtime, API integration via Gateway, identity management, managed memory, and built-in tools, thereby accelerating the journey from prototype to scalable, secure AI agent deployment.