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* create readme * Distributed multi-agent, multi-framework example with boto3 invocations * update folder name * update contributors --------- Co-authored-by: Osman Santos <ozz@amazon.com>
Amazon Bedrock AgentCore Runtime
Overview
Amazon Bedrock AgentCore Runtime is a secure, serverless runtime designed for deploying and scaling AI agents and tools. It supports any frameworks, models, and protocols, enabling developers to transform local prototypes into production-ready solutions with minimal code changes.
Amazon BedrockAgentCore Python SDK provides a lightweight wrapper that helps you deploy your agent functions as HTTP services that are compatible with Amazon Bedrock. It handles all the HTTP server details so you can focus on your agent's core functionality.
All you need to do is decorate your function with the @app.entrypoint decorator and use the configure and launch capabilities of the SDK to deploy your agent to AgentCore Runtime. Your application is then able to invoke this agent using the SDK or any of the AWS's developer tools such as boto3, AWS SDK for JavaScript or the AWS SDK for Java.
Key Features
Framework and Model Flexibility
- Deploy agents and tools from any framework (such as Strands Agents, LangChain, LangGraph, CrewAI)
- Using any model (in Amazon Bedrock or not)
Integration
Amazon Bedrock AgentCore Runtime integrates with other Amazon Bedrock AgentCore capabilities through a unified SDK, including:
- Amazon Bedrock AgentCore Memory
- Amazon Bedrock AgentCore Gateway
- Amazon Bedrock AgentCore Observability
- Amazon Bedrock AgentCore Tools
This integration aims to simplify the development process and provide a comprehensive platform for building, deploying, and managing AI agents.
Use Cases
The runtime is suitable for a wide range of applications, including:
- Real-time, interactive AI agents
- Long-running, complex AI workflows
- Multi-modal AI processing (text, image, audio, video)
Tutorials overview
In these tutorials we will cover the following functionality: