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Deploy AI agents on Amazon Bedrock AgentCore using GitHub Actions | Amazon Web Services

Deploy AI agents on Amazon Bedrock AgentCore using GitHub Actions | Amazon Web Services

Recently, AWS announced Amazon Bedrock AgentCore, a flexible service that helps developers seamlessly create and manage AI agents across different frameworks and models, whether hosted on Amazon Bedrock or other environments. Specifically, AgentCore Runtime provides a secure, serverless, and purpose-built hosting environment for deploying and running AI agents or tools. AgentCore Runtime is framework agnostic, working seamlessly with popular frameworks like LangGraph, Strands, and CrewAI for deploying your AI agents and tools with automatic scaling and built-in security.

In this post, we demonstrate how to use a GitHub Actions workflow to automate the deployment of AI agents on AgentCore Runtime. This approach delivers a scalable solution with enterprise-level security controls, providing complete continuous integration and delivery (CI/CD) automation. By implementing a comprehensive pipeline, we enable seamless agent deployment with AWS best practices, including…

https://aws.amazon.com/blogs/machine-learning/deploy-ai-agents-on-amazon-bedrock-agentcore-using-github-actions/

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