OpenComputer icon

OpenComputer

OpenComputer provides managed, persistent cloud VMs for AI agents, with a deploy flow that produces a live agent URL. It is built for agents that need full OS access, mid-run steering, checkpoints, and runtime resizing.

OpenComputer

Deploy managed agents on persistent cloud VMs

OpenComputer is long-running cloud infrastructure for AI agents. On the deploy page, it is presented as a way to deploy a managed agent that stays on, can be steered during execution, and is reachable through a permanent URL.

The broader product page describes OpenComputer as persistent VMs that hibernate when idle and wake in seconds. Each VM is a real machine with a full filesystem, full OS access, and persistent state, which makes it suitable for agents that need to keep working across sessions instead of starting from scratch each time.

The service is aimed at agent builders who need more than a throwaway sandbox. It is described as purpose-built for harnesses such as Claude Agent SDK and as working with Claude Code, Codex, opencode, and Cursor in the deployment flow.

OpenComputer also supports runtime elasticity: you can resize memory and CPU while a VM is running, and you can use checkpoints to snapshot, fork, or restore state when you need to recover or branch an agent session.

Core capabilities

Managed agent deployment

Deploy a managed agent that stays online, can be steered mid-run, and exposes a permanent URL for access.

Persistent VM runtime

The product provides always-on VMs that hibernate when idle and wake in seconds, so agent state can persist across sessions.

Elastic compute controls

Resize memory and CPU while the VM is running to match the workload without restarting the machine.

Checkpoints and rollback

Create instant snapshots and restore or fork from a previous point when you need to recover or branch state.

Real computer environment

Use a full filesystem and full OS access rather than a disposable sandbox, which is important for agents that need to keep files, installs, or session state.

CLI-based workflow

The page documents a deploy flow built around the CLI: install, log in, initialize an agent, deploy it, and invoke it for smoke testing.

Practical ways teams can use OpenComputer

  • Long-running agent sessions

    Use OpenComputer when your agent needs to keep files, installs, and working state across multiple sessions instead of re-creating the environment every time.

  • Managed agent endpoints

    Deploy a managed agent that should stay reachable through a permanent URL and be steerable while it is running, rather than only producing one-off outputs.

  • State recovery and branching

    Use checkpoints when you need to test a change, branch from a known-good state, or recover after the agent gets into a bad filesystem or runtime state.

  • Workload tuning during execution

    Resize CPU or memory during a session when workload needs change and you want to avoid restarting the VM.

  • Persistent agent products

    Build B2B agent products where users expect a computer that remembers installs and session state, such as persistent coding or workflow automation tools.

Pros and Cons

Pros

  • Persistent VMs keep files and state between sessions instead of resetting after each task.
  • Agents can be deployed with a permanent URL and steered mid-run.
  • Memory and CPU can be resized while the VM is running.
  • Checkpoints allow snapshots, rollback, and forking from a saved state.
  • The deploy flow is designed to work from common coding-agent environments such as Claude Code, Codex, opencode, and Cursor.

Cons

  • The source does not document every runtime restriction, so details such as operating-system options, access controls, or hard limits are unclear from the page alone.
  • Pricing is usage-based and tied to runtime, but the public page does not spell out every scenario that affects total cost beyond memory, CPU, and included disk.

FAQ

How do you deploy a managed agent with OpenComputer?

OpenComputer is designed for deploying managed agents that need a persistent machine rather than a throwaway sandbox. The page shows a workflow where you install the CLI, log in, initialize an agent, deploy it, and then invoke it to verify the live URL and dashboard link.

Which coding agents or environments does it work with?

The page says OpenComputer works with Claude Code, Codex, opencode, and Cursor. It also describes the platform as purpose built for running harnesses such as Claude Agent SDK.

What kind of runtime does OpenComputer provide?

The product emphasizes long-running, persistent VMs with a full filesystem, full OS access, and state that survives across sessions. It also supports elastic resizing of memory and CPU while the VM is running, plus hibernation and wake-up.

Can you recover or reset agent state?

OpenComputer includes checkpoints for instant snapshots, so you can fork, restore, or roll back a VM state. The source describes this as a way to recover from bad VM state quickly.

Who is the product mainly for?

The source positions OpenComputer for B2B agent platforms and managed agents that need persistence, steerability, and a permanent URL. It is not described as a general consumer app or a generic app-hosting platform.

Quick Facts

Category
Developer Tool
Product type
Managed agent infrastructure
Runtime model
Persistent VMs with hibernation and wake in seconds
Primary workflow
Install CLI, log in, initialize an agent, deploy, then invoke
Supported environments
Claude Code, Codex, opencode, Cursor
Pricing shape
Usage-based; pay only while running, with included disk and metered overages

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OpenComputer - AI Tool, Features, Use Cases & Alternatives | UStack