Set up desktop automation for AI agents with the user still in charge.
Desktop automation is powerful because it can interact with the same surface a person uses — and dangerous for exactly the same reason. This guide shows how to set up visible, permissioned, stoppable desktop control in MultiAgentOS so the agent helps without taking over.
Give the agent the right tools without opening the whole machine.
Use connectors, files, model routing, and scoped settings so the agent can act with context and boundaries.
- 1 Scope tools
- 2 Add files
- 3 Run task
- 4 Inspect result
Why "supervised" matters
An unsupervised desktop agent will, sooner or later, click the wrong thing. The question is whether you notice in time. MultiAgentOS treats desktop control as a first-class surface with a visible status, stop button, scoped tool packs, and approval gates for irreversible steps. The agent works inside the app frame, not all over your machine.
1. Start with observation
Before allowing any clicks or typing, give the agent read-only context:
- Attach a screenshot of the screen state.
- Open files the task involves.
- Let the model summarise what it sees before it does anything.
Most agent mistakes come from acting before understanding. Observation is the cheapest fix.
2. Scope action types
Group desktop actions by reversibility, then enable categories one at a time:
- Reversible. Open apps, read screen, draft text, navigate URLs, scroll, take screenshots.
- Local-write. Save files, run shell commands in a project folder.
- External-write. Send messages, post comments, create issues, push commits.
- Sensitive. Delete files, change billing, install software, modify credentials, make purchases.
Walk up that ladder one step at a time. The agent earns the next tier by working reliably at the current one.
3. Keep a visible status
The user should always be able to answer three questions at a glance:
- Is the agent currently controlling the desktop?
- What is the agent trying to do right now?
- How do I stop it immediately?
MultiAgentOS shows agent activity in the workspace frame with a one-click stop control. Use it. The cost of stopping a confused agent and restarting is tiny compared to letting it dig itself in deeper.
4. Require confirmation for irreversible steps
Confirmation gates do three jobs:
- They block destructive actions while the agent is wrong.
- They surface what the agent is actually about to do, in plain language.
- They create a natural place to log the decision later.
Set approval gates on at least: sending messages, deleting files, installing software, changing account settings, making purchases, handling credentials. None of these should ever happen silently.
5. Log every session
Run history is what makes desktop automation debuggable. For each agent session, MultiAgentOS records the prompts, tool calls, and outputs. Use that history when:
- An agent did something you did not expect — find the exact step.
- You upgrade a model and want to know if behaviour changed.
- You hand a workflow to a teammate and want to share the playbook.
Putting it together: a 25-minute setup
- Open MultiAgentOS settings and enable the desktop tool category for one workspace.
- Disable everything in that category except screenshot and read-only file tools.
- Prompt the agent: "Take a screenshot, summarise what you see, then stop."
- Add the click/type tools, repeat with a benign action ("open the Calculator app, then stop").
- Enable approval gates for sends, deletes, purchases. Save the workspace.
- Now run the actual workflow you wanted automated.
Related
- Connect MCP tools to desktop AI agents — for data tools alongside computer actions.
- Set up Ollama for local AI agents — pair desktop control with a local model.
- Desktop AI agent use case — real workflows the in-app desktop is good for.
- MultiAgentOS vs cloud agents — what local visibility buys you.