A guide by Moath Alherani
Sources reviewed October 11, 2026
Meet Understudy, your computer task assistant
An open-source tool for working with your computer, even when you are away from it.
This tool is not a complete employee replacement. Setup, permissions and human review are essential.
Instagram Reel
An AI employee on your computer? Watch the video
Watch Moath introduce Understudy, then explore the demos and setup guide below.
The Instagram player loads only when you click. If it does not appear, use the direct video link.
Not a magic employee. A tool for tasks.
Understudy can operate Mac interfaces and browsers, manage files, run terminal commands, send messages and repeat remote tasks. Delegate a clear task, such as preparing a file, rather than handing over an entire business.
Original documentationThese figures come from developer documentation and demos, not an independent audit or a performance promise.
8
Built-in messaging channels
Telegram, WhatsApp, Slack, Discord, Signal, LINE, iMessage, Web
Figure source6
Stages in an app-review demo
From discovering the app to publishing a video and cleanup.
Figure source≈ 60
Minutes in the developer demo
About one hour to produce and upload the review. Not a guaranteed turnaround.
Figure source51
Quality-gate rules
For exploring an unfamiliar app in AI App Critic, not a general accuracy score.
Figure sourcePublished demonstrations
What was shown, and what it does not prove
These are project-team demos. We have not independently verified success on a user's computer.
A phone message, a task on Mac
What was shown?
A published Telegram demo asks the Mac agent to turn a page into a PDF and send it to a contact.
What does it not prove?
It does not establish access to every contact or reliable file delivery without channel setup, permissions and recipient checks.
Show a task, then reuse it
What was shown?
The user demonstrates an image search, an edit in Pixelmator Pro and delivery to Telegram, then publishes a reusable Skill.
What does it not prove?
One example does not cover every case. Different interfaces, files or goals may require correction and review.
An app review from discovery to upload
What was shown?
AI App Critic finds Snapseed in the real App Store, uses iPhone Mirroring, explores the app, edits a review with FFmpeg, uploads it to YouTube and cleans up. The team describes six stages, about one hour and 51 exploration quality rules.
What does it not prove?
It does not guarantee review quality, upload success on your account or unattended reliability. Appropriate apps, accounts and setup are needed.
Start with the official setup
GUI operation and demonstration learning currently require macOS, Node.js 20.6 or newer, Accessibility and Screen Recording permissions, and a compatible model account or API key. Some tasks need additional apps and accounts.
Install the tool
npm install -g @understudy-ai/understudyRun setup
understudy wizardStart the service
understudy daemon --startStart a chat
understudy chatAdd Telegram
understudy channels --add telegramTelegram needs a bot and additional setup in the official guide. Never enter a bot token or model key on this website or share it publicly.
Installation, channels and permissionsIs it really free?
The code is free and open source under MIT. Model APIs, hosting and computer runtime can cost money. It is not a guaranteed free employee, and fixed costs are not documented.
MIT licenseWhere does it run?
Desktop interaction and demonstration learning currently run on macOS. Windows and Linux GUI support is not available in the reviewed docs, while CLI and browser parts are designed for multiple platforms.
System requirementsPrivacy and safety
Some data stays local by default, but images, screenshots or demonstration clips may go to your model provider. Do not grant sensitive financial or password access without human review. Test non-sensitive tasks first.
Review documentation and provider settingsCapabilities without promises
| Task | Reality |
|---|---|
| Operating apps | Available on Mac with supported setup and permissions. |
| Sending files | Needs configured channels and correct recipients. Review before sending. |
| Learning by demonstration | Shown in team demos, not a guarantee for every new task. |
| Unattended operation | Not guaranteed. Human review is essential. |
| Replacing employees | Not a valid claim of comprehensive capability. |
Before you try it
Does Understudy replace an employee?
No. It helps with specific computer tasks and needs setup, permissions and human review. Published demos do not establish a complete employee replacement or reliable unattended operation.
Is it free?
Its source code is free under the MIT license. Model APIs, hosting and running a computer may cost money. There is no documented fixed cost per task.
Does it work on Windows and Linux?
Desktop GUI interaction and learning from demonstrations currently require macOS. Windows and Linux GUI support is not available in the reviewed documentation, while CLI and browser components are designed for multiple platforms.
Does all data stay local?
No such guarantee is made. Some data stays local by default, but screenshots, images or demonstration clips may be sent to your chosen model provider. Review its settings before using sensitive data.
Do the demos guarantee success on my computer?
No. They are project-team demonstrations, not an independent audit. Results depend on your setup, permissions, model and applications. Start with a non-sensitive task and check the result.
Sources and methodology
Reviewed October 11, 2026 using the official repository, demos and developer documentation, not independent studies. The project changes with updates. Check current sources before installing; these demos have not been tested on your computer.
Try Understudy from the original source
Start small and review the result yourself.