MacOS-Use

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macOS-use is an AI Agents & Automation tool that enables AI agents to interact with and control macOS applications. It allows users to automate tasks across any application on a Macbook.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is macOS-use?

macOS-use is an open-source project designed to make Mac applications accessible for AI agents, allowing them to interact with and control various macOS functionalities. Developed by Ofir Ozeri in collaboration with Magnus and Gregor, this tool aims to enable users to automate tasks across any application on their MacBook. It supports integration with AI providers like OpenAI, Anthropic, and Gemini, with a vision to eventually run local private inference at zero cost using Apple's MLX framework. The project is actively working on improving reliability, refining agent prompting, and supporting local inference with fine-tuned models. Users can install it via pip or GitHub and begin automating tasks like opening apps, performing calculations, or logging into websites.

Best used for

Ideal for developers and technical users who need to automate complex workflows on macOS, integrate AI agents with desktop applications, and explore local inference capabilities. Especially valuable for those looking to build custom AI-powered automation solutions for their Mac.

Common actions

automate macOS tasks

control Mac apps

integrate AI agents

develop AI workflows

workflowsdeepfakeopen-sourcelow-code/no-codeface swappingautomated workflow"AI Agents"github copilotcollaboration

Capabilities

Key features

AI agent interaction
Control macOS applications
Supports OAI, Anthropic, Gemini
Local inference with MLX
Automate tasks across apps

Target Audience

developerdata scientiststartup founder

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What AI providers does macOS-use support?

macOS-use currently supports API integration with OpenAI, Anthropic, and Gemini. While Gemini is free, the project notes that OpenAI and Anthropic APIs offer more reliable performance. Future plans include supporting deepseek R1 and local inference with MLX.

Is macOS-use safe to use for sensitive tasks?

The project is still under development, and user discretion is advised. macOS-use can interact with all UI components, log in, use private credentials, and access stored passwords. It is not recommended to operate it unsupervised, as restrictions are still being developed.

What is the long-term vision for macOS-use?

The vision is to build an AI agent for Apple's MLX framework that can perform any action on any Apple device. The goal is an open-source solution powered by MLX and MLX-VLM for local, private inference at zero cost, with SOTA reliability.

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