Desktop AI agent for macOS and Windows

Numa is a desktop AI agent. It runs on your computer, works across your apps, and helps complete tasks that normally require clicking, typing, reading, moving files, and switching windows.

Most AI assistants sit inside a chat box. Numa is different. It is designed for the desktop itself.

What a desktop AI agent means

A desktop AI agent is software that can understand the state of your computer and take actions in the environment where your work already happens.

For Numa, that means:

It runs on macOS and Windows.
It can see your screen during active tasks.
It can use mouse and keyboard actions when needed.
It can work with local files and folders.
It can open apps and browser tabs.
It can learn repeated workflows from recordings.
It can ask for help when a task is unclear or sensitive.

This is different from a chatbot, a browser extension, or an API-only automation tool.

Why desktop matters

Your work is not always inside clean SaaS integrations. It often lives in a mix of:

Local folders
PDFs
Spreadsheets
Browser tabs
Internal tools
Desktop apps
Company dashboards
One-off processes
Personal naming conventions

If an agent only works in a cloud browser or only connects to apps through APIs, it misses a large part of the work people actually do.

Numa is built around the computer you already use.

What Numa can do on your desktop

Numa can help with tasks like:

Open a folder and organize files by date, client, or type.
Read a document and update a spreadsheet.
Move between a browser dashboard and a local file.
Draft a response using context from files on your machine.
Run a repeated reporting process you recorded.
Use an app that does not have an API.
Execute a chain of steps across several tools.

The agent can use visual context when that is necessary, and it can use code or file operations when those are faster than clicking.

How Numa learns your way of working

Numa is not only a general-purpose agent. It is meant to learn how you work.

With recordings, you can teach a process by doing it once. You explain what you are doing out loud, show the steps, and define what done looks like. Later, Numa can repeat that workflow with a short instruction or trigger phrase.

That makes Numa useful for personal and team-specific workflows that would be hard to describe as a fixed flowchart.

Local apps, not only web apps

Many AI agents start in the browser because browsers are easier to control. Numa is designed around native desktop work. It can operate across local apps and files as well as web pages.

That distinction matters for people who use:

Finder or File Explorer
Excel or local spreadsheets
PDFs and Word documents
Design, finance, operations, or custom desktop tools
Internal apps that do not expose modern APIs

Numa is for the work that happens on your machine, not only inside a web tab.

Trust and control

A desktop AI agent needs access to be useful. It also needs clear boundaries.

Numa is not always watching your screen. It uses screen capture during active tasks, workflow recordings, or when you explicitly ask it to look at something. When idle, it is not recording your screen or building a timeline of your day.

You remain responsible for reviewing sensitive actions. Anything involving money, messages, publishing, account changes, or important file operations should be checked carefully.

Who should try a desktop AI agent

Numa is a fit if:

You repeat multi-step work on your computer.
Your tools do not all connect cleanly.
You want to teach a process by showing it.
You work across local files, browser apps, and desktop apps.
You want an agent that can do the execution, not only write instructions.

It may not be a fit if all you need is a simple event trigger between two cloud apps. Use Zapier, n8n, or Make for that.

The short version

Numa is a desktop AI agent for macOS and Windows. It controls your computer with permission, uses the apps and files you already work with, learns workflows from recordings, and completes multi-step work that does not fit neatly into API automation.