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Best cloud computers for AI agents in 2027

What to look for in a cloud computer for an AI agent, and how Orgo, browser services, Amazon WorkSpaces, and self-hosted VMs compare.

Updated

TL;DR: If your agent needs a whole computer, Orgo gives each agent a full, persistent Linux or Windows desktop that it drives through one API, SDK, CLI, or MCP server. Pick a browser service when the agent only ever works on web pages, and Amazon WorkSpaces when it has to run desktop apps inside an AWS account you already manage.

Definition: A cloud computer for AI agents is a remote machine with a real desktop, browser, and shell that a model controls through screenshots, mouse and keyboard actions, and commands, instead of a person sitting at it.

How to choose in one line each:

  • Orgo: a full desktop per agent, online in seconds, with click, type, screenshot, and shell built in.
  • A browser service such as Browserbase: hosted browser sessions for agents that work on the web.
  • Amazon WorkSpaces for AI agents: managed desktops reached through an AWS MCP endpoint, authenticated through IAM.
  • The Anthropic reference container or a plain cloud VM: you run and secure the environment yourself.

What should a cloud computer for AI agents have in 2027?

An agent needs more than a server. Check for these before you choose:

  • A real desktop. A browser, a file system, a terminal, and desktop apps, so the agent can finish tasks that leave the browser.
  • Built-in actions. Screenshot, click, type, scroll, key presses, and shell commands over an API, so you do not write that layer.
  • State that survives restarts. Logins, files, and installed tools should still be there tomorrow.
  • Model choice. The computer should work with Claude, GPT, Gemini, or open models, not one vendor.
  • A way for people to watch and step in. A live view, shared access, and scoped credentials.
  • An agent-friendly interface. An HTTP API and SDKs for code, and MCP for coding agents and chat clients.

If you are new to the idea, start with what computer use is.

What are the best cloud computers for AI agents in 2027?

OptionWhat the agent getsOperating systemsHow the agent connectsWho runs the environmentBest fit
OrgoA full desktop with browser, shell, and appsLinux; Windows on Scale or as a paid add-on; Mac and iPhone while in stockHTTP API, Python and TypeScript SDKs, CLI, MCP, OpenAI-compatible endpointOrgoAgents that need a whole computer that persists
BrowserbaseHosted headless browsers, plus Search, Fetch, and FunctionsA browser, not a desktopBrowserbase API and its Stagehand SDKBrowserbaseAgents whose work stays on the web
Amazon WorkSpaces for AI agentsA managed desktop with the apps you configureWindows or LinuxManaged MCP endpoint, authenticated through IAMYou, on AWSEnterprise desktop apps inside an AWS account
Anthropic computer use reference containerA Docker container with a virtual display, Firefox, and LibreOfficeLinuxYour own code runs each tool callYouLocal prototypes of Claude computer use
A plain cloud VMA server with no desktop or automation layerWhatever you installWhatever you buildYouTeams that want to build every layer themselves

Competitor rows come from each vendor's own pages as of November 2026 (linked below). Check them before you commit, because these products change often.

What does Orgo give an AI agent?

Orgo gives every agent its own cloud computer: a full desktop with a browser and a terminal, reachable over HTTP and VNC. A new computer comes online in seconds and keeps running until you stop it, or until its credit runs out if it runs by the hour. Its disk survives a stop and a restart. With no plan, an hourly computer left without credit for 7 days is deleted with its files.

What comes with an Orgo computer:

  • Computer-control API. Screenshot, click, type, scroll, key presses, bash, and Python execution, each one HTTP call. See the computer use API guide.
  • Any model. Use Claude, GPT, Gemini, Hermes, or any OpenAI-compatible model. Orgo also has an OpenAI-compatible /api/v1/chat/completions endpoint that can run an agent on a computer for you. See computer use models compared.
  • MCP for coding agents. A hosted MCP server with OAuth or an API key, or a local one with npx -y orgo-mcp-server, for Claude Code, Codex, Claude Desktop, Cursor, and VS Code. See Orgo MCP for AI agents.
  • Live view and embedding. VNC in the dashboard, or embedded in your own app with noVNC. See embed an AI agent computer in your app.
  • Streams for real-time work. WebSockets for a full terminal, audio, and desktop events such as window focus and clipboard changes.
  • Files in and out. Upload, export, and download files through the API, with a two-step upload for files up to 2 GB.
  • SSH on Linux. Turn on SSH for a computer and log in as root with your own key.
  • Lifecycle controls. Stop, start, restart, and clone Linux and Windows computers. Suspend (memory kept) works on Linux computers without a GPU, and fork (a live copy, memory included) works on a running Linux computer. A computer billed by the hour can't be suspended, cloned, or forked. See pause, fork, or clone an AI agent's computer.
  • Backups. Running Linux and Windows computers are backed up daily, and each backup is kept for 7 days.
  • Teams and access. Workspaces with email invites and guest share links, each with Can chat or Full access. Can chat members watch screens, but despite the name they can't chat with the workspace's agents. That takes Full access. API keys can be scoped to all workspaces, one workspace, or one computer.
  • Browser networking. Send a Linux computer's Google Chrome through your own proxy. See bring your own proxy.
  • Templates and resizing. Start from a template, and change CPU, memory, and disk on a running computer on your plan. Disk only grows, some changes restart the computer, and a computer billed by the hour keeps its size.
  • Room to grow. An account on any paid plan can hold 50 computers. Past the plan's own room, a computer needs an add-on or runs by the hour from credit, and past 50 a new computer runs by the hour, up to 999 an account. The capacity API adds memory, vCPU, and disk to your pool, not computers. See scale AI agent computers to thousands.

Orgo is not a browser tab and not a general cloud platform. It is the computer your agent runs on.

When is a browser service like Browserbase the better fit?

Choose a browser service when every task starts and ends on a web page. Browserbase describes itself as a platform "to build and deploy agents that browse and interact with the web." It offers fleets of headless browsers, the Stagehand SDK, Search and Fetch APIs, Agent Identity, Functions that run code next to the browser, and observability with live view and session replay.

The difference is scope. Browserbase is built around the browser session. Its Agents product does give a task files and a shell in a sandbox, so check whether that covers your case. If your agent needs desktop apps, a terminal it keeps between runs, or files that stay put, it needs a whole computer. For the full comparison, read Orgo vs Browserbase and cloud desktops vs headless browsers.

When does Amazon WorkSpaces make sense for AI agents?

Amazon WorkSpaces for AI agents fits teams that already run desktop apps on AWS. Per AWS, your agent connects to a managed WorkSpaces Applications environment through a standard MCP endpoint, authenticates through IAM, and reaches a Windows desktop configured with the apps you specify. Its developer guide also lists Linux images. AWS CloudTrail logs tool calls, and people can watch sessions with view-only access or pause and stop them.

The tradeoff is setup and scope. You set up a WorkSpaces Applications fleet and stack in your own AWS account before an agent can connect. If you want a self-serve signup, or one API that creates a computer for each agent with no AWS project, Orgo is the simpler path. See Orgo vs Amazon WorkSpaces for AI agents.

Can you just run the Anthropic reference container or a plain cloud VM?

You can, if you want to own the environment. Per Anthropic's computer use docs, the computer use tool is a client tool: your application runs every call in an environment you control. The reference implementation runs a virtual display, a window manager, and apps such as Firefox and LibreOffice inside a Docker container, and Anthropic tells you to isolate Claude from sensitive data and actions because of prompt injection.

A plain cloud VM gives you even less. You install the desktop, the VNC server, the browser, and the click, type, and screenshot layer yourself, then keep them running.

Both work for a prototype. For agents in production, you would rebuild what a managed agent computer already provides. You can also keep Claude and swap only the environment. See set up Anthropic computer use with Orgo.

How much does a cloud computer for an AI agent cost?

Orgo's prices as of November 2026. Check current pricing before you buy.

Orgo planMonthly (yearly, per month)Always-on Medium computersTeammates besides youAI & Platform credits
Pay as you go$0None: Medium Linux computers by the hour from credit0None
Starter$29 ($23)11$5/mo
Growth$99 ($79)45$10/mo
Scale$399 ($319)16, Windows included25$50/mo
EnterpriseCustomCustom, volume pricing up to 999 computersNo limitCustom

A Medium is 2 vCPU, 8 GB RAM, and 40 GB disk. An account on any paid plan can hold 50 computers. Past the plan's own room, a computer needs an add-on or runs by the hour from credit, and past 50 a new one runs by the hour, up to 999.

By the hour, Linux computers are billed by the second with no minimum:

SizeRunningStopped
Small (0.5 vCPU, 4 GB)$0.023/hr$0.0014/hr
Medium (2 vCPU, 8 GB)$0.055/hr$0.0027/hr
Large (4 vCPU, 16 GB)$0.11/hr$0.0055/hr
XL (6 vCPU, 32 GB)$0.202/hr$0.011/hr

Small is offered through the API only. 2XL (8 vCPU, 64 GB) is on request; asking for it self-serve returns 403 CONTACT_US_FOR_SIZE. A new account can get $5 of starting credit after the free checks, which runs one Medium Linux computer by the hour.

Windows is included on Scale. On Starter and Growth, a Windows computer is a $15/mo license plus a Medium's memory, vCPU, and disk, $47/mo in all. Without a license, creating one returns 403 WINDOWS_REQUIRES_SCALE. Windows is not offered by the hour. Mac mini VMs (from $100/mo) and iPhones (from $65/mo) are sold while in stock, billed on their own.

For the other options, check each vendor's pricing page. Self-hosted options also cost the engineering time to build and run the desktop layer.

How do you get an AI agent running on an Orgo computer?

  1. Create an account at orgo.ai/start and make an API key.
  2. Create a workspace, then a computer, with one API call each.
  3. Point your agent at the computer through the API, an SDK, the CLI, or MCP.
  4. Watch it work in the dashboard and share access with your team.
bash
curl -X POST https://www.orgo.ai/api/computers \
  -H "Authorization: Bearer $ORGO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"workspace_id": "'"$WORKSPACE_ID"'", "name": "agent-1", "ram": 8, "cpu": 2}'

That creates a Medium. The quickstart walks through each step.

What errors will you hit?

ErrorWhat it meansFix
403 WINDOWS_REQUIRES_SCALEos: "windows" with no Windows license on Starter or GrowthBuy a Windows computer in Settings, Plan & billing, or move to Scale
403 CONTACT_US_FOR_SIZEYou asked for a size past XLAsk Orgo, or pick XL or smaller
409 NOT_FORKABLEYou tried to fork a Windows computer or one that is not runningStart it first. On Windows, clone instead
409 HOURLY_QUOTE_REQUIREDYou tried to clone or fork a computer billed by the hourCreate a new computer instead
409 HOURLY_USE_STOPYou tried to suspend a computer billed by the hourStop it instead
429 rate_limitedYou passed a per-plan API limitWait retry_after seconds and retry

FAQ

What is the best cloud computer for AI agents in 2027? It depends on the work. For a full desktop from one API, Orgo gives each agent a persistent Linux or Windows computer with click, type, screenshot, and shell built in, reachable through an API, SDKs, a CLI, or MCP. For web-only work, compare browser services. For desktop apps inside an AWS account, look at Amazon WorkSpaces.

Do AI agents need a full computer or just a browser? If every task stays on the web, a browser can be enough. If the agent uses desktop apps, files that persist, or a terminal, it needs a full computer.

Can I use Claude, GPT, or Gemini with Orgo? Yes. Orgo works with Claude, GPT, Gemini, Hermes, and any OpenAI-compatible model.

Does an Orgo computer keep its state? Yes. The disk survives a stop and a restart, and running Linux and Windows computers are backed up daily.

Can people watch or take over an agent's computer? Yes. You can view the desktop live in the dashboard, embed it in your app, and share a workspace with Can chat or Full access.

Does Orgo support Windows? Yes. Windows is included on Scale, and Starter and Growth add it at $47/mo per Windows computer. Macs and iPhones are sold while in stock.

Can I connect Orgo to Claude Code or Cursor? Yes. Orgo's MCP server works with Claude Code, Codex, Claude Desktop, Cursor, and VS Code.

Sources

Ready to give your agent a computer? Create an Orgo account or read the docs.