Skip to main content
Back to News Hub
🟧AWS Machine Learning
June 8, 2026
E-Commerce

It's safe to close your laptop now: Hosting coding agents on Amazon Bedrock AgentCore

Overview

AWS Machine Learning introduced details on Amazon Bedrock AgentCore Runtime for hosting autonomous developer tools. The architecture provides each agent session with an isolated microVM featuring persistent storage, built-in observability, and secure tool access through Gateway. This framework allows systems like Claude Code, Codex, Kiro, and Cursor to operate simultaneously without sharing credentials, ports, or file systems.

Key Takeaways

  • Amazon Bedrock AgentCore Runtime gives each autonomous coding agent session its own isolated microVM environment complete with persistent storage.

    Secure tool access is handled via Gateway, while built-in observability provides monitoring capabilities.

  • By shifting execution to isolated cloud environments, background tasks can continue running even after a developer closes their local machine.

    For those building with artificial intelligence, this architecture illustrates how containerized microVMs and secure gateways enable scalable, autonomous agent execution without compromising infrastructure security.

  • Amazon Bedrock AgentCore Runtime equips each agent session with an isolated microVM and persistent workspace.

    Developers can run tools such as Claude Code, Codex, Kiro, and Cursor in parallel without sharing secrets, ports, or filesystems.

  • The architecture delivers secure tool connections using Gateway alongside built-in observability for ongoing monitoring.
  • This isolated setup allows developers to execute coding assistants such as Claude Code, Codex, Kiro, and Cursor concurrently without exposing secrets, ports, or filesystems to other tasks.
It's safe to close your laptop now: Hosting coding agents on Amazon Bedrock AgentCore

Amazon Bedrock AgentCore Runtime gives each autonomous coding agent session its own isolated microVM environment complete with persistent storage. Secure tool access is handled via Gateway, while built-in observability provides monitoring capabilities. This isolated setup allows developers to execute coding assistants such as Claude Code, Codex, Kiro, and Cursor concurrently without exposing secrets, ports, or filesystems to other tasks.

By shifting execution to isolated cloud environments, background tasks can continue running even after a developer closes their local machine. For those building with artificial intelligence, this architecture illustrates how containerized microVMs and secure gateways enable scalable, autonomous agent execution without compromising infrastructure security. Amazon Bedrock AgentCore Runtime equips each agent session with an isolated microVM and persistent workspace.

Developers can run tools such as Claude Code, Codex, Kiro, and Cursor in parallel without sharing secrets, ports, or filesystems. The architecture delivers secure tool connections using Gateway alongside built-in observability for ongoing monitoring.

For more details please read the original article at AWS Machine Learning.

Continue Learning

Comments

Comments appear only after moderation. Your email identifies your submission to the moderator and is never displayed here.

No approved comments yet.

Originally published by AWS Machine Learning
Read the original