AWS AgentCore introduces a standardized runtime environment for AI agents, compatible with open-source frameworks like CrewAI, LangChain, and Strands. Developers can use models from Amazon Bedrock or connect external providers, offering flexibility across proprietary and open-source ecosystems. The service comes with built-in modules including Memory, Identity, Observability, Gateway, Browser, and Code Interpreter, allowing companies to manage everything from data access controls to live code execution.

The enterprise angle is clear. AWS highlights customers like Itaú Unibanco, Box, Innovaccer, and Epsilon, who are already using AgentCore to operationalize agents in regulated industries. By handling production concerns like scalability, security, and compliance, AgentCore aims to close the gap between AI prototypes and production-ready deployments. For AWS, this reinforces Bedrock as a comprehensive AI platform competing with Microsoft’s Azure AI Studio and Google Cloud’s Vertex AI. For enterprises, it signals a new phase of industrial-grade AI infrastructure, making autonomous agents a manageable, auditable part of business workflows.