Amazon Unveils Bedrock AgentCore for Scalable Enterprise AI Agents

Amazon has announced the preview of Amazon Bedrock AgentCore, a suite of enterprise-grade services designed to help developers deploy and operate AI agents at scale. The platform aims to address infrastructure challenges by providing "purpose-built infrastructure to scale agents securely, powerful tools to enhance agent capabilities, and essential controls to ensure trustworthy operations."

Source: Amazon Bedrock

Key Features of AgentCore

AgentCore differs from Amazon's existing Bedrock Agents by focusing on production-grade scalability rather than simplified agent creation. The platform removes infrastructure burdens by automatically handling:

• Session management
• Identity controls
• Memory systems
• Observability

AgentCore supports popular frameworks like CrewAI, LangGraph, LlamaIndex, and Strands Agents, while supporting models both within and outside the Amazon Bedrock ecosystem.

Source: Amazon Bedrock AgentCore GitHub

Core Components

AgentCore's architecture consists of six main components:

1. Runtime: Secure, serverless hosting environment for AI agents
2. Gateway: Handles tool integration with enterprise systems
3. Memory: Dual-memory architecture for immediate and long-term knowledge
4. Identity: Centralized security management
5. Observability: Production monitoring for AI workflows
6. Tools: Includes Browser Tool and Code Interpreter

Industry Context

The launch reflects intensifying competition among cloud providers to offer AI infrastructure platforms. Shelly Palmer, Professor at Syracuse University, noted:

"AWS, Microsoft, Google, and pretty much every foundational model builder are in a 'I can build you a platform to build platforms' race."

Availability

The AgentCore preview is available in:

• US East (N. Virginia)
• US West (Oregon)
• Asia Pacific (Sydney)
• Europe (Frankfurt)

Developers can access documentation on the official AgentCore docs and sample implementations on GitHub.