Building an Agentic AI Platform on Amazon Bedrock AgentCore: architecture and open-source blueprint

Amazon Bedrock introduces AgentCore, a set of modular services to deploy and manage AI agents at scale. According to the vendor, the main challenge in productionizing agents lies not in models or tools, but in organization, governance, and surrounding controls. A post outlines an enterprise agentic AI platform architecture, complete with an open-source blueprint for deployment.

The architecture uses a multi-account model: a centralized control plane managed by a dedicated team, and isolated Workstream cells per product or domain team. Each cell includes its own inference and tool gateways, ephemeral identities, automated evaluation, and delivery pipelines. The blueprint offers templates for Strands, LangGraph, and CrewAI, while allowing integration of other frameworks if they meet common contracts. Deployments are validated through adversarial tests and residual checks before archiving.

This model aims to prevent control drift, bottlenecks, and audit issues. It integrates into an existing AWS environment via a landing zone, with service control policies to limit permissions. The solution is designed to be repeatable, starting with a single representative cell before automating additional instances.