Amazon releases enterprise-grade agent platform blueprint
The story so far
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
- 12 Nov, 09:18 · 1 reportsBuild autonomous AI agents with Amazon Bedrock and Spring AIAWS Machine Learning Blog:Build autonomous AI agents using Amazon Bedrock and Spring AI
- 10 Nov, 03:05 · 1 reportsPluggable Agentic AI FrameworkAWS Machine Learning Blog:Plug-and-play AI framework: A seven-layer composite enterprise AI reference architecture on Amazon Bedrock AgentCore
- 29 Oct, 02:28 · 1 reportsBuilding an Agentic AI Platform on Amazon Bedrock AgentCoreAWS Machine Learning Blog:Build an enterprise-grade agent platform based on Amazon Bedrock AgentCore
Coverage timeline
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- AWS Machine Learning BlogBuild 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.
- AWS Machine Learning BlogPlug-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.
- AWS Machine Learning BlogBuild 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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