Marvis Hands‑On Review: Six AI Agents Take Over My Desktop

The author installed Marvis a day before its official Mac release, noting a few remaining bugs but eager to test its capabilities as an AI desktop assistant that promises a trustworthy, user‑ready experience.

1. Terminal scheduling ability

Marvis completes a voice command to enable dark mode and change the wallpaper in under 2 seconds , without showing a loading animation. This speed comes from local semantic understanding combined with on‑device agent scheduling.

2. Autonomous planning and multi‑agent coordination

Given the open‑ended goal “fetch Lin Youjia’s top playlist from Xiaohongshu,” Marvis decomposes the task without any preset skill: it checks the app’s installation status, searches the App Store, installs the app, logs in, detects a permission issue, switches to the Computer Agent to adjust system settings, and finally uses the browser agent to open the web version. This demonstrates seamless cross‑agent handoff.

3. Cross‑modal end‑to‑end task chain

Marvis generates five images featuring Lin Youjia, composes a Xiaohongshu post, and publishes it, linking semantic understanding, image generation, and UI interaction in a single pipeline. The File Agent handles downloading assets, scripting composition, and uploading. Execution time improved from 30 minutes to 2 minutes over six iterations.

4. Agent Workspace

The UI presents a pure‑white 3D office where each agent occupies a desk, a treadmill, or a coffee corner, making their status instantly visible. Idle agents appear to be taking a coffee break, and sub‑dialogues are folded into a log panel, preventing context bloat and reducing trust cost.

5. Vibecoding

Marvis can execute Python and Shell code, search, create, edit, and batch‑manage files, and assist with dependency installation and debugging. While its generated designs are functional, they lack aesthetic polish; using a dedicated design skill later improves visual quality.

6. Desktop organization

Marvis receives three commands to deduplicate files, rename them with dates, and categorize them into folders. Execution is visibly fast, though occasional missed items occur when many targets are present.

7. Future mobile integration

The author anticipates iOS remote control, noting Android already works. The envisioned workflow treats the phone as an asynchronous command channel to the desktop, enabling true “always‑on” AI.

In conclusion, Marvis balances safety and usability through a harness‑style approach: six pre‑installed agents, dual‑track cloud‑and‑local processing, L2‑level security prompts, and transparent multi‑agent state visualization. It positions AI assistants as reliable execution systems rather than mere chat bots, offering a practical, privacy‑preserving tool for both ordinary and technical users.