VMs vs Containers for AI Agents

Containers virtualize the OS for efficiency and suit packaged processes, while VMs provide full machine abstractions that AI agents need to inspect, mutate, pause, fork, debug, and return to across multiple interactions. AI agents accumulate context in the environment by leaving terminals open, starting servers, installing packages, and debugging stateful failures — requirements that demand VM durability rather than ephemeral container boundaries.