Enterprise AI agent, 9 core rules
- AWS unveils Amazon Bedrock AgentCore best practices
- Session isolation microVM, presents multi-agent collaboration pattern
- Distinguishing between agentic and deterministic code is key
What happened?
AWS has released a guide to building an enterprise AI agent based on Amazon Bedrock AgentCore.[AWS] AgentCore is a platform for creating, deploying, and managing AI agents at scale.
9 rules are key. Narrowing the scope, observability, tool definition, automatic evaluation, multi-agent, scaling, code separation, testing, scaling the organization.
Why is it important?
Honestly, AI agent demo and production are different games. This guide is an attempt to fill that gap.
AgentCore Gateway stands out. Integrated management of scattered tools such as MCP server and Lambda. Find the appropriate tool through semantic search.
Session isolation is also a feature. Each session runs in a separate microVM, and when terminated, the VM is terminated as well.
What will happen in the future?
Personally, “Agentic The “vs deterministic code” distinction is the most practical. Calculate dates with code, and determine intent with agents. The team that finds this balance will win.
Frequently Asked Questions
Q: What is the difference between AgentCore and existing Bedrock Agents?
A: Bedrock Agents focuses on building a single agent. AgentCore is an enterprise platform that includes large-scale operation of multiple agents, tool integration, and session management.
Q: What about multi-agent collaboration?
A: Supports sequential, hierarchical, and P2P patterns. Context is shared with AgentCore Memory, and handoffs are monitored with OpenTelemetry.
Q: How is security ensured?
A: Identity is responsible for authentication, Policy is for authorization, and Gateway is responsible for pre-execution verification. Each session runs in an isolated microVM.
If you found this article useful, please subscribe to AI Digester.
References
- AI agents in enterprises: Best practices with Amazon Bedrock AgentCore – AWS ML Blog (2026-02-03)
- Amazon Bedrock AgentCore Documentation – AWS
- Amazon Bedrock AgentCore Product Page – AWS