Pluggable Agentic AI Framework: A seven-layer composable enterprise agentic AI reference architecture on Amazon Bedrock AgentCore

What happened
Amazon has launched the Pluggable Agentic AI Framework through its Bedrock AgentCore platform. This framework provides a seven-layer architecture aimed at helping businesses run multi-agent AI systems in live, large-scale environments. The design allows organizations to build and operate these AI agents with a focus on reliability, security, and scalability. Companies can use this structure to move from experimental AI projects to full production deployments.
Key details
- The framework consists of seven distinct layers, each with a specific function.
- It is built on Amazon Bedrock AgentCore and supports integration with other Amazon services like OpenSearch and DynamoDB.
- A centralized agent registry is included for managing and discovering AI agents.
- Security features include authentication, fine-grained access control, and data masking for sensitive information.
- The architecture is designed to be modular, allowing organizations to substitute components to fit their existing systems.
Why it matters
Enterprise IT teams and developers can now use a standardized approach to deploy and manage AI agents at scale, reducing the need to build custom infrastructure for each project. This framework provides built-in security and governance tools, helping organizations meet compliance and operational requirements while deploying advanced AI solutions. The modular design also allows companies to adapt the framework to their own technology stacks, streamlining the transition from prototype to production.
