Cloud computer-use agent with its own persistent VM
Sai is one of the more ambitious computer-use agents to watch, and the persistent virtual machine is a genuine differentiator: keeping logins and files between sessions removes a lot of the repetitive setup that trips up rival agents. The headline 73 percent OSWorld 2.0 result is a vendor-reported claim measured against scores other labs reported for their own systems, so read it as a strong signal rather than an independent audit. Pricing is the main caution: it is early-access, appears to be shifting, and starts well above casual-use levels, with no free plan confirmed. Verify current tiers, model coverage, and usage limits with Simular before committing, and pilot on low-stakes tasks, because computer-use agents can still misfire on complex screens.
Sai is a cloud-hosted computer-use agent from Simular that runs on its own persistent virtual machine to operate desktop apps, browsers, and terminals like a person. The vendor reports a 73 percent score on the OSWorld 2.0 benchmark.
Sai is a computer-use agent built by Simular, the team behind the open-source Agent-S framework. Rather than living inside one app, Sai drives a full computer: it operates desktop applications and web pages, calls APIs, and writes code, coordinating a mixture of frontier and specialist models to plan and act. Each Sai runs on a dedicated, persistent virtual machine, so logins, downloaded files, and preferences stay intact from one session to the next instead of resetting every time. Simular positions Sai as a long-horizon worker. The company reports that Sai reached 73 percent on OSWorld 2.0, a 108-task benchmark released in 2026 by the XLANG Lab at the University of Hong Kong that measures agents on real desktop tasks a skilled person would need more than an hour to finish. According to Simular, that result edges past scores that OpenAI and Anthropic reported for their own systems on the same benchmark, at roughly two-thirds of the cost. These are vendor and third-party figures, so treat the exact numbers as claims to verify rather than settled fact. Sai can run on the Simular fleet of remote machines or on a personal computer, which suits people who want an agent to grind through repetitive back-office work, research, and app-to-app workflows without constant supervision. The tradeoffs are cost and maturity: pricing is early-access and has been moving, no free tier is confirmed at the time of writing, and a general computer-use agent can still stumble on brittle interfaces. Anyone evaluating Sai should pilot it on low-risk tasks first and confirm current pricing and capabilities directly with Simular.
Sai is a cloud-hosted computer-use agent from Simular that runs on a persistent virtual machine to operate desktop apps, browsers, and terminals, with a vendor-reported 73 percent score on the OSWorld 2.0 benchmark.
Simular is the team behind the open-source Agent-S framework and builds computer-use agents that operate a full computer the way a person would. Sai is its hosted product, designed to plan and execute long, multi-step tasks by driving desktop applications, web pages, terminals, and APIs.\n\nSimular emphasizes long-horizon capability and cost efficiency, reporting that Sai leads the OSWorld 2.0 benchmark against scores that other labs published for their own systems, at roughly two-thirds of the cost. The company offers Sai on a fleet of remote machines and on personal computers.
Sai operates desktop apps, browsers, and terminals, calls APIs, and writes code, orchestrating a mixture of frontier and specialist models. Its standout feature is a dedicated, persistent virtual machine that preserves logins, files, and preferences across sessions, so work compounds rather than resetting each time.\n\nSai can run on Simular remote machines or on a personal computer, and the vendor reports a 73 percent score on OSWorld 2.0, a 108-task benchmark of real desktop tasks that take a skilled person more than an hour.
Operators, analysts, and small teams that want an autonomous agent to handle repetitive back-office work, research, and app-to-app workflows, plus early adopters evaluating computer-use agents.
Operators and analysts who assign long, multi-step computer tasks to an agent.
Team leads and early adopters budgeting for automation and agent pilots.
AI research, developer, and automation communities.
A team or power user with repetitive, multi-app computer work who is comfortable piloting an early-access agent and paying above casual-use pricing for autonomy.
Simular develops the open-source Agent-S framework and the Sai product. Specific funding rounds and figures are not confirmed here, so verify via public sources.
Sai is a computer-use agent from Simular that runs on its own persistent virtual machine and operates desktop apps, browsers, and terminals to complete long, multi-step tasks.
It is a vendor-reported result on a 108-task benchmark of real desktop tasks. Simular says Sai leads scores that other labs reported for their own systems, but it is a claim to verify rather than an independent audit.
Yes. Each Sai runs on a persistent virtual machine, so logins, files, and preferences stay intact from one session to the next.
No free plan is confirmed at the time of writing. Public materials point to a short free trial and paid plans, so check current pricing with Simular.
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