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Amazon releases enterprise-grade agent platform blueprint

3 reports1 outlets3 days agoUpdate

The story so far

AI overview

Amazon has released a blueprint for an enterprise-grade agent platform based on Amazon Bedrock AgentCore, adding enterprise-level constraints such as ownership, account boundaries, software delivery, observability, cost governance, and retirement. It achieves controlled access through an inference gateway and a tool gateway and includes an evaluation process to ensure agents are validated before going into production. The blueprint, based on AgentCore, provides modular services such as runtime, gateways, identity, memory, policies, registration, and evaluation, supporting large-scale agent construction, deployment, and operation. Amazon Web Services (AWS) has launched a pluggable AI framework for agents, extending multi-agent AI applications from prototypes to production scale through a seven-layer composable reference architecture. The Java team can leverage Amazon Bedrock and Spring AI to build autonomous AI agents, addressing scalability, governance, security, and operational issues. Spring AI brings AI capabilities to the JVM through Spring patterns, while the Amazon Bedrock AgentCore platform supports framework and model-agnostic agent construction, connection, and optimization.

AI-written from the reports · Updated 3 days ago

Developments

3 developments

  1. 12 Nov, 09:18 · 1 reports
    Build autonomous AI agents with Amazon Bedrock and Spring AI
    AWS Machine Learning Blog:Build autonomous AI agents using Amazon Bedrock and Spring AI
  2. 10 Nov, 03:05 · 1 reports
    Pluggable Agentic AI Framework
    AWS Machine Learning Blog:Plug-and-play AI framework: A seven-layer composite enterprise AI reference architecture on Amazon Bedrock AgentCore
  3. 29 Oct, 02:28 · 1 reports
    Building an Agentic AI Platform on Amazon Bedrock AgentCore
    AWS Machine Learning Blog:Build an enterprise-grade agent platform based on Amazon Bedrock AgentCore

Coverage timeline

Follow the coverage to see every side of the story.

12 Nov
  1. AWS Machine Learning Blog
    Build autonomous AI agents using Amazon Bedrock and Spring AI

    Java teams can leverage Amazon Bedrock and Spring AI to build autonomous AI agents, addressing scalability, governance, security, and operational challenges. Spring AI brings AI capabilities to the JVM through the Spring framework (auto-configuration, dependency injection, composable advisors), while the Amazon Bedrock AgentCore platform supports framework and model-agnostic agent construction, connection, and optimization.

10 Nov
  1. AWS Machine Learning Blog
    Plug-and-play AI framework: A seven-layer composite enterprise AI reference architecture on Amazon Bedrock AgentCore

    Amazon launches a plug-and-play AI framework, extending multi-agent AI applications from prototype to production scale through a seven-layer composite reference architecture.

29 Oct
  1. AWS Machine Learning Blog
    Build an enterprise-grade agent platform based on Amazon Bedrock AgentCore

    Amazon Bedrock AgentCore provides modular services such as runtime, gateway, identity, memory, policy, registration, and evaluation, supporting large-scale agent construction, deployment, and operation. The enterprise-grade agent platform blueprint based on AgentCore adds enterprise-level constraints such as ownership, account boundaries, software delivery, observability, cost governance, and retirement, achieving controlled access through inference gateway and tool gateway, and including an evaluation process to ensure agents are validated before production deployment.

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