18 · Bedrock AgentCore Architecture

This is the full Bedrock AgentCore architecture for building, running and operating production-ready AI agents at enterprise scale. Think of AgentCore as the operating system for your AI agents.

How it works

1. 1Clients & channels (web, mobile, chat, CLI) reach the AgentCore Gateway (single HTTPS entry, auth, rate limiting).
2. 2AgentCore Runtime runs the agent securely with session isolation and concurrency control.
3. 3AgentCore Memory provides short-term, long-term and semantic memory.
4. 4AgentCore Tools (MCP) and Identity handle tool access and fine-grained permissions.
5. 5AgentCore Observability traces, meters and monitors everything; the Model Layer is Bedrock.

Key points

• No server management, auto scaling and high availability.
• Enterprise security and isolation, deep observability by default.
• Seamless integration with AWS, built for multi-agent systems.
• Design small focused agents, use clear instructions and structured output.

Why it matters

AgentCore packages the runtime, memory, tools, identity and observability an agent needs into one managed platform — the enterprise foundation for reliable agents at scale.

Frequently asked questions

What are AgentCore's main layers?

Gateway, Runtime, Memory, Tools (MCP), Identity and Observability, over the Bedrock model layer.

Why call it an operating system for agents?

It manages the resources an agent needs — compute, memory, tools, security — so you focus on agent logic.