Give Every Agent Its Own Computer: AWS Lambda MicroVMs

Wed, 24 Jun 2026 00:00:00 +0000

🎬 Also available as a blog walkthrough video where I walk through the post and the demo.

TL;DR: AWS Lambda MicroVMs (launched 22 June 2026) gives every user, job, or AI agent its own isolated, stateful compute environment: a Firecracker microVM with VM-level isolation, near-instant launch and resume from a snapshot, and suspend/resume state for up to eight hours, all in one API call with no virtualization infrastructure to operate. Until now you had to pick two of isolation, speed, and state, and run the plumbing for the rest yourself. I built a small demo where Amazon Bedrock writes Python and a per-session microVM runs it, keeps its state across a suspend, and stays sealed off from a second microVM. The code is on GitHub. This is the clean answer to “where does my agent’s code actually run?”

Disclaimer: I’m a solutions architect who builds things to understand them. This is a builder’s field report on a feature I tested and a demo I wrote, not authoritative guidance. If I’ve got something wrong, tell me.

The Idea That Stuck

At a machine learning conference last year, the idea that every AI agent should get its own computer stuck with me. Its own place to run code, keep some state, and not step on anyone else’s work. It made plain intuitive sense. An agent that writes and runs code is a lot less scary when that code executes somewhere boxed off from everything that matters.

schristoph.online

Give Every Agent Its Own Computer: AWS Lambda MicroVMs

The Idea That Stuck