3 Lessons from Rebuilding Compute for AI Agents: Safe Sandboxes, Near-Free Idle, Persistent Memory
Saboo_Shubham_ · x · 2026-10-23
The author distills three principles from rebuilding compute infrastructure for AI agents, illustrated with Google's Agent Compute Engine architecture:
- Zero-asset sandboxes: Models will make mistakes, so sandboxes should hold nothing an attacker can use — credentials live outside the microVM, unreachable by agent code, with all egress traffic filtered through a policy-enforcing proxy.
- Near-free idle time: Agents spend most of their lives waiting; an idle agent should cost almost nothing and wake up faster than a human notices, enabled via microVM snapshot/restore/pause.
- Persistent memory: Agents get more useful as they remember more — their workspace should survive across turns, days, and OS version upgrades.
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