Uindow

Uindow - AI browser immune to prompt injections

Uindow drives a real, signed Chromium/Electron browser with genuine OS-level input - actual cursor movement, real keystrokes, and native file dialogs rather than synthetic page events. It runs entirely on your own machine and your own network, and every line of code it executes sits in plain sight in this repository.

Automate it three ways:

• No code - build automations in the integrated editor and record complex workflows without writing code.
• From any AI agent - Uindow ships a local MCP server, so Claude, Cursor, VS Code, or any MCP-compatible assistant can list, create, and run automation agents directly. See Control Uindow from AI agents.
• Write automations in pure JavaScript - Use the integrated development environment to write, test, and debug automations with ease. Auto-completion, code healing, JavaScript parsing, and linting are all built in.

Running Uindow

Option 1 - npx (recommended)

One command to fetch the CLI and launch the app:

npx -y @uindow/cli app:start

Other lifecycle commands:

npx @uindow/cli app:status  # check whether the app is running
npx @uindow/cli app:stop    # stop the app

Option 2 - Run locally from source

Clone the repository and launch the app directly from source.

git clone https://github.com/uindow/uindow.git uindow
cd ./uindow/
npm install
npm start

What actually runs on your machine

Both options do the same minimal thing: they fetch the official, signed Electron binary (only if it isn't already on your machine) and tell Electron to load dist/run.js. That's the whole story - a genuine, trusted, signed Electron runtime executing code that is clearly visible to you in this repository. Nothing is hidden, obfuscated, or pulled in behind your back.

Option 3 - Install prebuilt binaries

Prefer a packaged installer?

We build signed binaries for macOS, Windows, and Linux directly from the dist source, and host them on the Releases page (current and older versions).

The build tooling lives in this repository and does exactly one job: it archives the dist folder into app.asar. You can audit it and reproduce the build yourself.

In order to use the app, create a free account at Uindow and follow the on-screen instructions.

Control Uindow from AI agents (MCP)

Uindow exposes a local Model Context Protocol server so any MCP-compatible assistant can drive web-automation agents directly - no glue code required. The server runs locally over stdio and is launched on demand with npx:

npx -y @uindow/cli mcp

Tools exposed: app_docs, app_start, app_stop, app_status, list, create, update, delete, start, stop, status, execute, logs.

Call list first to discover agent indexes.

All clients use the same launch command - npx -y @uindow/cli mcp - only the file location and the wrapping key differ.

Claude Desktop

Edit claude_desktop_config.json (Settings → Developer → Edit Config):

{
    "mcpServers": {
        "uindow": {
            "command": "npx",
            "args": ["-y", "@uindow/cli", "mcp"]
        }
    }
}

Restart Claude Desktop. The Uindow tools appear under the tools (🔌) menu.

Claude Code

claude mcp add uindow -- npx -y @uindow/cli mcp

Cursor

Edit ~/.cursor/mcp.json (global) or .cursor/mcp.json (per project) - same shape as Claude Desktop:

{
    "mcpServers": {
        "uindow": {
            "command": "npx",
            "args": ["-y", "@uindow/cli", "mcp"]
        }
    }
}

VS Code

Create .vscode/mcp.json in your workspace (or run MCP: Open User Configuration for a global setup). Note the root key here is servers, not mcpServers:

{
    "servers": {
        "uindow": {
            "command": "npx",
            "args": ["-y", "@uindow/cli", "mcp"]
        }
    }
}

Other clients

Any client that speaks MCP over stdio works. Point it at the command npx with arguments -y @uindow/cli mcp.

Command-line interface

You can run Uindow from any CI/CD pipeline or command-line interface.

npx -y @uindow/cli --help

Alternatively, you can use node dist/bin.js --help instead of npx @uindow/cli --help for a faster response.

  USAGE
    $ npx @uindow/cli <command> [options]

  AVAILABLE COMMANDS
    $ npx @uindow/cli mcp          Run MCP server
    $ npx @uindow/cli app:docs     Fetch SDK documentation
    $ npx @uindow/cli app:start    Start application
    $ npx @uindow/cli app:stop     Stop application
    $ npx @uindow/cli app:status   Check application status
    $ npx @uindow/cli list         List agents
    $ npx @uindow/cli create       Create agent
    $ npx @uindow/cli update       Update agent
    $ npx @uindow/cli delete       Delete agent
    $ npx @uindow/cli start        Start agent
    $ npx @uindow/cli stop         Stop agent
    $ npx @uindow/cli status       Check agent status
    $ npx @uindow/cli execute      Execute code in agent
    $ npx @uindow/cli logs         Fetch agent logs

  OPTIONS
    --help      Help menu for a specific command
    --version   Package version

All commands that specify the @return tag in their description return valid JSON-formatted values.

Creating modules

Most people never open the SDK. There are three ways to build a module - reach for them in this order:

1. Record it - zero learning curve. Open the integrated recorder and use the browser exactly as you normally would: point, click, scroll, upload and download files. The recorder turns your actions into JavaScript for you - deterministically, without any AI, and instantly. What you see is what you get.

2. Let an AI agent write it - MCP. Want something more involved? Hand control to your local AI agent over MCP and have it author the module on your behalf. Describe the outcome and let it produce the code for you. You're always in control of your automations, and you can use the included IDE to debug your code.

3. Write it yourself - SDK. Ff the recorder and the AI-driven approach both come up short, go straight to the source:

   1. Visit the Uindow SDK Reference
   2. Download the sample module and import it into Uindow
   3. Experiment with the dollar-sign methods - the integrated editor has auto-complete, code hints, formatting and linting

For most people the learning curve is zero - the recorder is all you'll ever touch. And if you decide to go pro, it stays shallow: the SDK is there when you want it, not before.