Google Gemini for macOS Prepares Local iMessage Features

Google is preparing an update that would let Gemini for macOS read and send iMessages locally. The planned capability follows the app’s arrival on Windows last week.
Google Gemini for macOS Prepares Local iMessage Features
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Google is preparing local iMessage reading and sending capabilities for its Gemini app on macOS. The planned update would give the company’s AI assistant access to a core Apple messaging service on the desktop, as first reported by 9to5Mac.

Gemini’s desktop app is expanding its reach

Gemini is Google’s AI assistant application, and the reported capability concerns its Mac desktop version. The integration is described as local, with support expected for both reading incoming iMessages and sending messages through the app.

The development comes shortly after Google made Gemini available for Windows during the preceding week. Adding the assistant to another desktop platform gives Google a broader base for features that connect AI tools with applications and information already available on a person’s computer.

Apple’s iMessage service is closely tied to the Mac experience, which makes the proposed connection significant for users who want to handle conversations without moving between separate apps. Reading and drafting messages through an assistant could make Gemini more useful for desktop tasks, while also giving the software access to highly personal communication.

Privacy details will shape the feature’s reception

The local designation matters because message access raises immediate questions about where conversations are processed and what controls users have over that access. Google has yet to publish a release date, identify supported macOS versions, or specify the permissions Gemini will need. It is also unclear whether the capability will first reach selected testers or all users, and the company has not confirmed the data-handling rules or privacy controls that will govern local iMessage access.

This article was produced with AI assistance from multi-source reporting and is published under our editorial standards.

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