Rabbit Releases OS3 for AI Tasks Across Five Devices

Sep 22, 2026
Rabbit releases OS3, a cloud operating system that coordinates AI models, applications and tasks across as many as five connected devices.

Rabbit announced the general release of OS3 in a press release. The cloud operating system uses a single chat interface to coordinate AI models, web services, applications and devices based on a user's requested outcome.

A locally installed Rabbit agent connects OS3 to Windows, Mac and Linux computers, cloud virtual machines, dedicated AI machines and the Rabbit r1. One account can connect up to five devices, while OS3 decides where each task should run and retains previous outputs and user supplied context in one conversation.

Users can connect API keys from AI providers, cloud routing services or locally hosted models, then switch models without losing context, memory or skills. OS3 can control desktop software, local files and web pages, and can write, debug and run software workflows. Rabbit says sensitive actions require confirmation and permissions can be revoked.

OS3 is available through a desktop onboarding portal, desktop and mobile web access, Telegram, iMessage, RCS, SMS and the r1. Rabbit also plans to use OS3 as the default operating system for its upcoming cyberdeck.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Daily AI Brief.

Also, consider following us on social media:

AI Brief AI Brief (X)
Free newsletter

Daily AI Brief

Daily report covering major AI developments and industry news, with both top stories and complete market updates

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.