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OpenComputer

Open source · OSI-approvedStatus: unknownNew

Always-on cloud computers for long-running AI agents

Alternative to Modal

OpenComputer is an open-source cloud that gives each AI agent its own persistent Linux computer. Instead of a disposable sandbox that vanishes when a task ends, every session runs on a real machine with a shell, a filesystem, and installable packages, and it stays running until it is stopped. It serves developers who build long-running coding, research, and operations agents and need state to survive across sessions.[1]

Quick verdict

Teams running agents that keep files, packages, and progress between sessions benefit most from OpenComputer. Its durable sessions with hibernate, resume, and per-second billing directly address the reinstall-and-restart loop of disposable sandboxes. Teams that need short-lived code execution, GPUs, or documented regional controls should choose something else, since those are not evidenced here. If persistent agent computers match the workload, start with OpenComputer; if throwaway execution is enough, a lighter sandbox such as E2B fits better.[1][2]

Key features

  • Persistent Linux computer per session Every session runs on a real machine with shell, read-write filesystem, apt, npm, pip, and full egress, so agents install packages, clone repositories, and drive browsers directly.[1]

  • Durable hibernating sessions Sessions stream, can be steered mid-run, hibernate when idle, and resume where they left off instead of restarting from scratch.[1]

  • Agents as TypeScript functions Behavior is a reactive function using hooks for model, tools, and MCP servers, deployed with one command through immutable development and production versions.[1][2]

  • Tools and MCP servers on the machine Cloning a repository, running ffmpeg, or driving headless Chromium happens on the session computer rather than through a remote shim.[1][2]

  • Origin-bound secrets Each secret is bound to one origin and injected after the request leaves the machine, keeping managed API keys outside the agent runtime.[1]

  • Schedules and chat operations Code-defined cron schedules run agents unattended, and deployed agents connect to Slack threads, GitHub, and Linear through managed connections.[1][2]

  • Project database and memory A durable SQL database shared by every session in a project environment, plus project-scoped document memory, carries state across sessions.[1]

  • Usage billing with model choice Machine time is billed per second and model calls pass through at API prices, with bring-your-own-key and subscription options documented.[1][2]

Who will love it

  • A workbench-style agent edits code, runs checks, and opens draft pull requests from a machine that keeps its checkout and dependencies between sessions.[1][2]

  • Cron-defined agents for hygiene, prospecting, or market research run unattended with durable sessions and streaming oversight.[1][2]

  • The deploy-as-a-function loop with dashboard and CLI playgrounds shortens the path from instruction change to running session.[1][2]

Who should avoid it

  • Short-lived stateless runs do not use persistence, hibernation, or checkpoints, so a lighter disposable sandbox is simpler and cheaper.[1]

  • Sandbox billing and capability evidence here covers CPU machines; no GPU option is documented in the inspected sources.[1][2]

  • No region list, data-residency statement, or compliance certification was found in the inspected official sources, so regulated buyers cannot verify fit.[1][2]

Questions worth asking

What is the best OpenComputer alternative for non-technical users?

Modal's managed serverless platform suits teams that want to run AI workloads without managing machines, while OpenComputer targets developers comfortable defining agents in TypeScript and operating persistent computers.[1][2]

Is OpenComputer really no-code?

No. Agents are defined as TypeScript functions with hooks for models, tools, and MCP servers, and deployment runs through a CLI, so developer effort is required for every agent.[1][2]

How much does OpenComputer cost per month?

Pricing is usage-based with one set of rates: model calls pass through at API prices and machine time is billed per second, with plans structured as prepaid usage credit. Rates checked October 12, 2026; confirm current pricing on the official site before budgeting.[1]

Can you self-host OpenComputer?

Self-hosting the platform is not documented in the inspected sources. The repository is public under Apache-2.0, but that alone does not prove self-hosting support, and the site's self-hosted wording covers connections inside a customer cloud or VPC.[1][2]

Sources and editorial review

Source research. Reviewed on October 12, 2026. Written by Sanjib Sah. AI assisted; reviewed by a human editor.

We have not run or tested this product.

  1. OpenComputer: the platform for long-running agents

    official · Observed October 12, 2026

    Official homepage evidencing positioning, session machine, durable sessions, agent functions, MCP, secrets, schedules, usage billing, and support tier.

  2. OpenComputer docs: Serverless Agents overview

    official · Observed October 12, 2026

    Managed runtime, TypeScript agents, one-command deploy, immutable versions, no local server.

  3. OpenComputer documentation index

    official · Observed October 12, 2026

    Management API, SDK, project database, schedules, secrets, service connections, BYOK.

  4. diggerhq/opencomputer on GitHub

    official · Observed October 12, 2026

    Repository identity diggerhq/opencomputer, TypeScript, Apache-2.0.

  5. Apache License 2.0 in diggerhq/opencomputer

    official · Observed October 12, 2026

    Full Apache-2.0 license text at the repository root.

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