Sai - The autonomous computer fleet at your command
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Sai is the world's first robosecretary that works with a fleet of autonomous computers, doing your endless screen work. Each computer navigates software the way you do: reads the screen, clicks the button, types in the form. Trained to interact with the computer interface, Sai automates software even when they lack APIs: legacy desktop apps, internal portals, anything behind a login. Sai supports Windows, macOS and Linux. 73% on OSWorld.


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I like that it remembers how I like things done instead of making me re-explain every time, which saves token usage a lot.
This is very very cool. As a CEO, this is something I'd be interested to use, but how does it build trust?
I am eager to try out this product, will post the review
i never see such a Aggressive and monstrous Product ever, using computer for 30+ years.
after login, user MUST ALLOW SAI TO CONTROL MY INBOX TO CONTINUE.
a product never gain any of my trust, good introduction, test run.
1st step = GIVE ME YOUR INBOX,
by point gun on my head. You want try, handle the control of your inbox now.
Thats the only route. you are not allow to see, browse, ask. but to surrender your inbox right after sign in.
The product show the personality of their devs.
They dont gain trust 1st. They demand surrender.
Our internal tool barely has an API, so most automation products stop before the real useful part.
A computer that can work through the app itself opens up tasks we have left manual for years.
@ristan_nakko YES, that's exactly the gap Sai is built for. It drives the app the same way you would, clicking, typing, reading the screen, so it doesn't stop where the API does. Sai also runs across Windows, macOS, and Linux, that system that your work lives.
Having followed Simular's previous releases, Sai feels like a massive step forward for agentic workflows. What immediately stands out is the practical focus on operating at the interface layer—being able to handle legacy desktop apps, internal portals, and tasks behind logins without needing custom APIs is a huge win.
A few highlights that really make this release stand out:
True Parallel Fleet Architecture: Running tasks across multiple dedicated cloud computers rather than a single local instance makes scaling complex workflows seamless.
Smart Snapshot & Cost Efficiency: Reducing token usage without sacrificing screen-reading accuracy brings the cost per task down significantly (and makes the free tier viable).
High OSWorld Benchmark Score: Scoring 73% on OSWorld 2.0 while staying lower in cost per task than competing models shows serious engineering optimization behind the scenes.
Thoughtful Safety & Adaptation: The ability to gracefully pause, ask for human input on major UI redesigns, and use tiered approvals builds real trust for production use.
Excited to see how the team continues to refine handling edge cases and dynamic layouts. Congrats to the whole Simular team on another great launch! 🚀
a fleet of computers doing the boring work is the right framing 🔥 how does it handle flaky legacy UIs?