OpenComputer

Most AI agents run on disposable sandboxes: spin up, execute a task, disappear. That works for throwaway scripts. It breaks down the moment an agent needs to remember what it installed, keep files between sessions, or pick up mid-task after a pause. OpenComputer is built for that second category.

Each VM is a real machine with a full filesystem and full OS access. It stays running until you explicitly stop or delete it. No timeouts, no teardowns. State persists across sessions without any extra plumbing on your end.

Key capabilities:

• Persistent VMs: always-on instances that survive across agent sessions, so nothing gets re-installed from scratch because a container timed out
• Hibernate and wake: when a VM isn't needed, hibernate it and restore it in seconds, state exactly where you left it
• Elastic compute: resize memory and CPU while the VM is running, no restart required, useful when workload spikes mid-session
• Checkpoints: instant snapshots let you fork or roll back to any previous state, handy when an agent puts the VM in a bad spot
• Agent framework support: purpose-built to run agent harnesses like the Claude Agent SDK
• Scale: runs to thousands of VMs in the cloud, billed only while running

OpenComputer targets teams building agent platforms where end users expect continuity. Think coding assistants like Devin or Lovable, where a user's environment needs to remember yesterday's installs and today's open files. give isolation. OpenComputer gives isolation plus persistence, without forcing you to manage state externally.