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OpenComputer

OpenComputer

AI

Background agent cloud that runs TypeScript agents on hardware-isolated Linux microVMs, with secrets the agent never sees.

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Free Available
Starting from Free
Premium plans available

About OpenComputer

OpenComputer is a cloud for long-running background AI agents: you write an agent as a single TypeScript function that declares a model, tools, and MCP servers, then deploy it with one command and the platform runs the loop, sessions, streaming and versioning for you. Every session gets a real Linux machine — a KVM-isolated microVM with a shell, read-write filesystem, apt/npm/pip and full network egress — so an agent can clone a repo, run ffmpeg, or drive a headless Chromium instead of being confined to a sandboxed function. Sessions are durable: they stream to the client, can be steered mid-run, hibernate when idle and resume where they left off, and snapshots can be forked so several approaches run in parallel from the same starting point. Secrets are bound to a single origin and injected after the request has already left the sandbox, so an agent can open a GitHub PR without ever being able to read the token. Teams that want their own agent loop can skip the managed layer entirely and use the same microVMs as bare sandboxes with checkpoint, fork and live resize.

Screenshots

OpenComputer screenshot 1
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Key Features

Agent as a TypeScript Function: Declare a model, tools and MCP servers inside one exported function and deploy it live with `opencomputer deploy` — the platform owns the agent loop, sessions, streaming and versions.
Full Linux MicroVM Per Session: Each run gets a real machine with bash, a read-write filesystem, apt/npm/pip package installs and full network egress, isolated at the hardware level via KVM.
Durable Steerable Sessions: Runs stream to the client, accept mid-run steering, hibernate automatically when idle and resume exactly where they left off instead of restarting.
Origin-Bound Secret Injection: Secrets are defined per connection and injected only after a request leaves the sandbox, so the agent can act with a token it can never read or exfiltrate.
Checkpoint and Fork: Named snapshots work like git branches for VMs — fork a prepared machine to try five approaches in parallel, or restore one at any time.
Scheduled Autonomous Runs: A `defineSchedule` cron entry keeps a deployed agent running on its own, with sessions, streaming, MCP and Slack delivery handled by the platform.
Model-Agnostic Passthrough: The model is just a string that can change per request; token usage is passed through at raw API rates with no markup, or drops to zero with your own key or subscription.
Bare Sandboxes API: `Sandbox.create()` exposes the same microVMs directly — checkpoint, fork and live resize — for teams that want to bring their own harness and own the loop.

Use Cases

Codebase Hygiene Bots: Deploy an agent that finds stale feature flags still referenced in code and opens a cleanup pull request for each one on a weekday schedule.
Background Coding Agents: Hand off long refactors or migrations to an agent that clones the repo, runs the test suite in a real shell and works while you sleep.
Media and Data Pipelines: Run agents that need heavyweight binaries such as ffmpeg or headless Chromium, which serverless function runtimes cannot host.
Parallel Approach Exploration: Checkpoint a machine once the environment is prepared, then fork it to evaluate several agent strategies from an identical starting state.
Safe Third-Party API Automation: Let an agent operate on GitHub, Slack or an internal API through origin-bound credentials it is structurally unable to read or redirect.
Custom Agent Harness Hosting: Use the bare sandbox API as compute for an in-house agent framework, keeping your own loop while outsourcing VM lifecycle and scaling.

Frequently asked questions about OpenComputer

What is OpenComputer?

Background agent cloud that runs TypeScript agents on hardware-isolated Linux microVMs, with secrets the agent never sees.

How does OpenComputer work?

OpenComputer works by combining Agent as a TypeScript Function: Declare a model, tools and MCP servers inside one exported function and deploy it live with opencomputer deploy — the platform owns the agent loop, sessions, streaming and versions., Full Linux MicroVM Per Session: Each run gets a real machine with bash, a read-write filesystem, apt/npm/pip package installs and full network egress, isolated at the hardware level via KVM., Durable Steerable Sessions: Runs stream to the client, accept mid-run steering, hibernate automatically when idle and resume exactly where they left off instead of restarting., Origin-Bound Secret Injection: Secrets are defined per connection and injected only after a request leaves the sandbox, so the agent can act with a token it can never read or exfiltrate., Checkpoint and Fork: Named snapshots work like git branches for VMs — fork a prepared machine to try five approaches in parallel, or restore one at any time. to help users with Codebase Hygiene Bots: Deploy an agent that finds stale feature flags still referenced in code and opens a cleanup pull request for each one on a weekday schedule., Background Coding Agents: Hand off long refactors or migrations to an agent that clones the repo, runs the test suite in a real shell and works while you sleep., Media and Data Pipelines: Run agents that need heavyweight binaries such as ffmpeg or headless Chromium, which serverless function runtimes cannot host., Parallel Approach Exploration: Checkpoint a machine once the environment is prepared, then fork it to evaluate several agent strategies from an identical starting state., Safe Third-Party API Automation: Let an agent operate on GitHub, Slack or an internal API through origin-bound credentials it is structurally unable to read or redirect..

What are the main features of OpenComputer?

Key features include Agent as a TypeScript Function: Declare a model, tools and MCP servers inside one exported function and deploy it live with opencomputer deploy — the platform owns the agent loop, sessions, streaming and versions., Full Linux MicroVM Per Session: Each run gets a real machine with bash, a read-write filesystem, apt/npm/pip package installs and full network egress, isolated at the hardware level via KVM., Durable Steerable Sessions: Runs stream to the client, accept mid-run steering, hibernate automatically when idle and resume exactly where they left off instead of restarting., Origin-Bound Secret Injection: Secrets are defined per connection and injected only after a request leaves the sandbox, so the agent can act with a token it can never read or exfiltrate., Checkpoint and Fork: Named snapshots work like git branches for VMs — fork a prepared machine to try five approaches in parallel, or restore one at any time..

Who is OpenComputer for?

OpenComputer is useful for anyone interested in Codebase Hygiene Bots: Deploy an agent that finds stale feature flags still referenced in code and opens a cleanup pull request for each one on a weekday schedule., Background Coding Agents: Hand off long refactors or migrations to an agent that clones the repo, runs the test suite in a real shell and works while you sleep., Media and Data Pipelines: Run agents that need heavyweight binaries such as ffmpeg or headless Chromium, which serverless function runtimes cannot host., Parallel Approach Exploration: Checkpoint a machine once the environment is prepared, then fork it to evaluate several agent strategies from an identical starting state., Safe Third-Party API Automation: Let an agent operate on GitHub, Slack or an internal API through origin-bound credentials it is structurally unable to read or redirect..

How much does OpenComputer cost?

OpenComputer offers a free tier with paid plans for advanced features.

How do I get started with OpenComputer?

Visit https://opencomputer.dev/ to sign up and explore OpenComputer.

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