Sandbox management

Use mvmctl when you need the local management layer for sandboxes.

Create or boot

mvmctl init ./agent-sandbox --preset python
mvmctl machine build --flake ./agent-sandbox
mvmctl machine run --flake ./agent-sandbox --name agent-sandbox -d

mvmctl machine build uses the builder VM for Linux image construction. mvmctl machine run boots the runtime guest from the built artifact.

Inspect

mvmctl machine ls
mvmctl machine boot-report agent-sandbox
mvmctl machine logs agent-sandbox

Use JSON output where commands support it when integrating with tooling.

Operate

mvmctl machine exec agent-sandbox -- python /work/task.py
mvmctl machine fs ls agent-sandbox /work

Command execution and file operations cross trust boundaries. Keep command args explicit and file paths narrow. Declare ingress before boot with machine run --port.

Preserve state

mvmctl machine pause agent-sandbox
mvmctl machine resume agent-sandbox

Full-VM memory checkpoints (vm-full class) are currently unavailable through the selectable workload runners; check mvmctl doctor for the authoritative capability before requesting them:

mvmctl machine checkpoint create agent-sandbox --class vm-full
mvmctl machine checkpoint restore agent-sandbox --name <checkpoint-name>

Snapshots can contain memory, files, and runtime credentials. Apply retention and deletion policy.

Stop and clean up

mvmctl machine stop agent-sandbox
mvmctl env cleanup

Stopping compute is not the same as deleting all state. Check manifests, volumes, snapshots, and cache entries when you need stronger cleanup.