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The best autonomous computer in 2026 is Sai by Simular, because it is the only product that gives an agent a full Windows or Linux desktop (or your own Mac or Windows machine), runs it unattended and in parallel, turns finished tasks into code that replays almost for free, and publishes its cost per task on a public benchmark. Developers who want the same thing behind an API should use the Sai API. Perplexity Computer is the strongest option for long research projects, OpenAI's dots is the natural pick for ChatGPT Pro subscribers, and Windows 365 for Agents is the infrastructure to choose if you are building your own enterprise agent.
An autonomous computer is a computer that an AI agent operates on its own: it has a real machine, uses the apps on it the way a person does, keeps working when you leave, and gets better at the jobs it repeats. Many products now give an agent "a computer". Fewer give it a desktop with a graphical interface, fewer still let it run while you are away, and only one publishes what a completed task costs. This ranking sorts them on exactly those points. Every price, platform and benchmark below was checked on the vendor's own pages on 26 October 2026.
We included a product only if it passes the first two of these tests and judged it on all four:
We left out browser-only agents and AI assistants without a computer; our guide to the best personal agents covers the consumer side of the market. Gemini Spark and Microsoft Copilot Autopilot are discussed at the end: Spark requires Google AI Ultra and is US-only, and Autopilot is in private preview.
| # | Product | Best for | The computer | Unattended and parallel | Cheaper on repeat runs | Published product benchmark | Starting price |
|---|---|---|---|---|---|---|---|
| 1 | Sai | Real work across desktop apps, unattended | Windows or Linux cloud desktop, or your Mac/Windows | Yes; schedules; up to 5 cloud computers on Pay as you go | Yes, replays as code | OSWorld 2.1: 77.3% partial, $14.34/task | Free; $50/mo |
| 2 | Sai API | Developers and AI agents | Same as Sai, behind REST and MCP | Yes | Yes, saved workflows replay | Same as Sai | Free; $50/mo |
| 3 | Perplexity Computer | Long research projects | Isolated cloud environment with filesystem and browser | Yes; dozens in parallel | Not published | None | Pro $17/mo (annual) |
| 4 | OpenAI dots | ChatGPT Pro and Business Premium users | Own cloud computer and browser; optional laptop access | Yes; several projects at once | Not published | None (model score only) | Included with ChatGPT Pro |
| 5 | Manus Cloud Computer | Always-on bots and scripts | Ubuntu Server VM, command line only; your Mac/Windows via terminal | Yes; 20 concurrent tasks on Pro | Not published | None | Pro from $20/mo + $30/mo computer |
| 6 | Meta Muse | Free consumer agent with strong safety design | Muse Secure VM: Linux with a Chromium browser | Yes; schedules, events, several tasks at once | Not published | None | Free for most needs (US) |
| 7 | Claude (with Cowork) | Work on the desktop in front of you | Your desktop (computer use in beta); cloud for long and scheduled tasks | Yes; several tasks at once | Not published | None (model score only) | Pro $20/mo |
| 8 | Windows 365 for Agents | Enterprises building their own agents | Managed Windows and Linux Cloud PC pools | Depends on the agent you run | Depends on the agent | Infrastructure, not an agent | $0.40 per VM hour (US) |
On benchmarks, two vendors publish strong model scores: Anthropic reports Claude Opus 5.5 at 81.8% partial on OSWorld 2.1 and OpenAI reports GPT-6 Astra at 72.6% on OSWorld 2.0. Those measure a model inside a lab harness, not the product you buy, and neither comes with a cost per task. Sai is the only product in this list with a published product-level score, binary success rate, cost per task and public trajectories.
Sai is Simular's robosecretary and the clearest example of the category: an agent whose product is a computer that runs itself. Each user gets a full Windows or Linux cloud desktop, so tasks keep running with the laptop closed, or Sai can drive your own Mac or Windows machine when the job needs local files and apps. It operates desktop applications, browsers, files and the terminal, and on Pay as you go it can run up to five cloud computers at once for batch work. Approval requests for important actions go to your phone, and logins, passwords and phone verifications are routed to you rather than typed by the agent.
What separates Sai from every other entry is what happens on the second run. Simular's neuro-symbolic approach uses models to work out a new task, then compiles the procedure into SimuLang code that replays deterministically and repairs itself when an interface changes. Simular reports up to 90% fewer tokens on repeated tasks, and on OSWorld 2.1 a 77.3% partial score (41.7% binary success) at $14.34 per task, with every trajectory published.
Key strengths: Full graphical desktop in the cloud or on your own device. Unattended, scheduled and parallel runs. Taught tasks get cheaper and more reliable with each repeat. The only product-level benchmark with cost per task in this list. Free Explore plan.
Limitations: A brand-new task costs full model price on its first run; the saving arrives on repetition. The free plan uses a pooled computer that takes about two minutes to start on the day's first request. Sai is a newer brand than OpenAI, Google or Meta, and its benchmark figures are vendor-reported (with public trajectories).
Best for: Founders, operators and teams with repeated screen work in portals, spreadsheets and desktop apps that have no API.
Pricing: Explore free (daily credits); Pay as you go $50/month (50,000 credits, dedicated cloud computer billed only while it runs); Sai Unlimited $500/month (always-on cloud computer); Enterprise custom with SSO, RBAC and SOC 2. See pricing.
The Sai API is the same autonomous computer behind one HTTP call. Your agent sends a plain-English task to POST /v1/agents/message; Sai wakes a Windows or Linux cloud computer, or your own machine, does the GUI work, streams progress as events and returns the result with usage.costUsd for that task. It ships as REST, a Python SDK and an MCP server (@simular-ai/sai-mcp) that works in Claude Code, Codex and Cursor.
The design choice that matters is the level of abstraction. Anthropic, OpenAI and Gemini sell computer use primitives (screenshot, click, type) and leave the machine, the loop and the safety checks to you. The Sai API takes the whole task. Approvals arrive as API events, logins and passwords are link-only steps the API cannot complete on its own, and a workflow that ran once can be saved and replayed as code. Our guide to giving your AI agent a computer use tool has integration code for the OpenAI Agents SDK, LangGraph, the Vercel AI SDK and MCP.
Key strengths: No desktop infrastructure to run. Built-in approvals and credential isolation. Cost per task reported on every run. Choice of model: Sai's own agent or models from Anthropic, Google, OpenAI and others.
Limitations: It does not expose screenshots or click primitives, so it is the wrong tool if your agent must reason about pixels itself. Published rate limits apply (60 messages per hour per account).
Best for: Agent builders who need GUI work as one step in a larger workflow: vendor portals, admin consoles, QA of real sign-up flows.
Pricing: Same plans as Sai; free tier with daily credits.
Perplexity Computer, launched in February 2026, gives an orchestrating agent an "isolated compute environment with a real filesystem, a real browser" and lets it dispatch sub-agents across several model families. It runs asynchronously for hours and supports recurring tasks, and Perplexity says you can run dozens of Computers in parallel. The companion Personal Computer Mac app extends the same agent to your Mac, with a Mac mini suggested for 24/7 use.
Key strengths: Excellent at multi-source research and synthesis. Parallel sub-agents. Connectors for Slack, Microsoft 365, Gmail and Notion.
Limitations: The cloud environment is built around a browser and files rather than a full desktop. Perplexity's own pages disagree on whether Computer needs Pro or Max, and Computer usage is metered in credits (100 credits = $1). No product benchmark or cost per task is published.
Best for: Analysts and founders who want a research project worked on for hours and delivered as a finished document.
Pricing: Pro $17/month and Max $167/month billed annually; Max includes 10,000 Computer credits a month.
dots, announced on 29 September 2026, are "always-on agents" that each get their own cloud computer and browser, with optional access to your laptop through the ChatGPT desktop app. A dot runs scheduled checks, works on several projects at once, keeps its own memory alongside your ChatGPT memories, and reaches you through ChatGPT, Slack, Teams and voice. Its rule system has four behaviours per action (act, act if pre-approved, ask first, hand off), and password changes always stay with the user.
Key strengths: Deep ChatGPT integration and 4,000+ app plugins. Thoughtful approval rules. Strong underlying model: OpenAI reports GPT-6 Astra at 72.6% on OSWorld 2.0.
Limitations: Only available with ChatGPT Pro or Business Premium, and not in the EEA, Switzerland or the UK on Pro. The cloud computer's operating system is not documented, and there is no product-level benchmark or cost per task.
Best for: People already paying for ChatGPT Pro who want delegated research, monitoring and follow-ups.
Pricing: First dot included with ChatGPT Pro or Business Premium.
The Manus Cloud Computer is a persistent VM running Ubuntu Server 24.04 with a dedicated public IP, "a cloud computer that keeps your AI agents and bots running 24/7". Manus 2.0 added Automations with email and Slack triggers, and the My Computer app lets the agent work on your Mac or Windows machine through the terminal, asking before each command.
Key strengths: True always-on machine with its own IP. Event-driven Automations. Up to 20 concurrent tasks on Pro.
Limitations: The cloud computer is command-line only, with no graphical desktop, so it cannot operate desktop apps or GUI-only software there. The computer is a paid add-on on top of a membership. No benchmark is published.
Best for: Technical users running scrapers, bots and scheduled scripts.
Pricing: Free (300 daily credits); Pro from $20/month; Cloud Computer add-on $30/month (Standard) or $50/month (Advanced).
Muse, launched on 8 September 2026, runs on the Muse Secure VM, "an isolated linux box with a browser" you can watch and take over. It works on schedules and events, runs several tasks at once, and continues after you close the app. Its safety design is the most elaborate on this list: a separate Sentinel agent is the only path to the network and to connected apps, and payments use one-time Stripe Link cards so Muse never sees a real card.
Key strengths: Free for most needs. Strong credential and payment isolation. Reachable in the Muse app and WhatsApp.
Limitations: US only at launch. The machine is a Linux box built around a browser, not a general desktop for work software. No benchmark is published.
Best for: Consumers who want errands, bookings and purchases handled safely.
Pricing: Free for most needs; heavier use through Meta subscriptions.
In September 2026 Anthropic merged Cowork into Claude. Longer and scheduled tasks run in Anthropic's cloud even when your computer is off, and computer use (in beta on Pro and Max) lets Claude click, type and navigate your own screen through Claude Desktop. It runs several tasks at once and asks before permanently deleting files.
Key strengths: The strongest published model score in this list: Anthropic reports Claude Opus 5.5 at 81.8% partial on OSWorld 2.1. Excellent with documents, files and code. Familiar interface.
Limitations: Computer use on your desktop needs Claude Desktop open, and the cloud side is not a general desktop you can watch. No product-level benchmark or cost per task. Anthropic's announcement and help centre disagree on whether it asks before acting by default.
Best for: Knowledge workers who want help on the computer they are using.
Pricing: Pro $20/month; Max from $100/month; Team and Enterprise per seat.
Windows 365 for Agents, generally available since June 2026, is not an agent. It is "the secured execution environment where AI agents work": pools of Windows and Linux Cloud PCs that agents check out, managed through Intune and Entra ID with session logs and Conditional Access. Copilot Studio computer use runs on it, and so can third-party agents: Simular demonstrated Sai processing claims in a legacy app on a Windows 365 Cloud PC at Microsoft Build 2026.
Key strengths: Enterprise identity, compliance and device management. Pay-per-hour economics. Runs Microsoft's and partners' agents.
Limitations: You still need an agent to drive it. Useful only inside a Microsoft-managed tenant.
Best for: Enterprise IT teams putting agents to work on legacy Windows applications.
Pricing: $0.40 per VM per hour on demand in the US, or $5 per VM per month plus usage for always-available machines; 50 free Cloud PC hours to try.
Google Gemini Spark is a 24/7 agent in Google's cloud with a Mac app for local files, but it needs Google AI Ultra ($100 or $200 a month) and is US-only. Microsoft Copilot Autopilot gives an agent "its own identity, memory, computer and workspace" inside a Microsoft 365 tenant, but is in private preview with unpublished pricing. Both will likely belong on this list once they are generally available.
Start from the work, not the model. If the task touches desktop software or portals with no API, you need a graphical desktop, which rules out command-line machines and browser-only agents. If it must run while you sleep, you need a cloud computer rather than your laptop. If it repeats daily, ask what the hundredth run costs: products that re-reason every step bill the same each time, while one that replays a learned procedure gets cheaper. And ask for proof: a product-level benchmark with cost per task, ideally with public trajectories, tells you more than any feature list. For the background on all four questions, read What Is an Autonomous Computer? and What Is Computer Use?.