Rabbit launches OS3 agentic operating system for desktop and mobile
Rabbit announced OS3, a standalone agentic operating system that runs across browsers, Telegram, iMessage and the existing R1 gadget. The platform lives in the cloud but connects to a local agent node on Windows, Mac or Linux, allowing users to issue tasks through a single chat stream. OS3 uses Rabbit’s Direct Large Action Model (DLAM) and a bring‑your‑own‑key approach, so there is no…
What you can do with it
AI at Work →Automate data entry with OS3
Runs AI agents across devices.
- Who for
- marketers
- Cost
- free
- Effort
- minutes
Use it for
- Automate data entry
- Summarize emails
- Run code snippets
How to set it up · From the article
- Install the OS3 local agent on your computer
- Add your OpenAI or Anthropic API key in OS3 settings
- Send a task via Telegram or the browser chat interface
Watch out Requires you
Key points from the news
- Rabbit delivered over 100,000 R1 devices with <5% return rate and 45‑50% hardware margin.
- Rabbit announced OS3, a cross‑platform agentic OS that runs via browser, Telegram, iMessage, or on R1 hardware.
- OS3 uses a BYOK model, no subscription fee, and can execute tasks on Windows, Mac, Linux via a local agent.
Lyu, Rabbit’s founder, says the company sold more than 100,000 orange‑red R1 devices designed by Teenage Engineering, with return rates under 5 % and a 45‑50 % hardware margin. Rabbit has raised about $60 million total and now employs 15 people. After a rocky launch in 2024, the firm pivoted to software, delivering roughly 50 updates and building a Discord community of over 12,000 users. OS3 can automate routine actions such as updating spreadsheets, representing the user on Slack, or debugging code, while keeping file contents on the user’s machine and only sending prompts to the chosen model provider.
The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.
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