BrowserOS/packages/browseros-agent/apps/agent

BrowserOS Agent Extension

The built-in browser extension that powers BrowserOS's AI interface — new tab with unified search, side panel chat, onboarding, and settings. Built with WXT and React.

For user-facing feature documentation, see docs.browseros.com.

Features

• AI-Powered New Tab: Custom new tab page with unified search across Google and AI assistants
• Side Panel Chat: Full-featured chat interface for interacting with BrowserOS
• Multi-Provider Support: Connect to various LLM providers (OpenAI, Anthropic, Azure, Bedrock, and more)
• MCP Integration: Model Context Protocol support for extending AI capabilities
• Visual Feedback: Animated glow effect on tabs during AI agent operations
• Privacy-First: Local data handling with configurable provider settings

How It Connects

The extension communicates with the BrowserOS Server running locally. The server handles the AI agent loop, MCP tools, and CDP connections — the extension provides the UI layer.

Project Structure

entrypoints/
├── background.ts          # Service worker for extension lifecycle
├── content.ts             # Content script (Google pages)
├── glow.content/          # Visual glow effect for active AI operations
├── newtab/                # Custom new tab page
├── sidepanel/             # AI chat side panel
├── onboarding/            # First-time user onboarding flow
└── options/               # Extension settings dashboard

components/
└── ui/                    # Shadcn UI components

lib/                       # Shared utilities and hooks

Entrypoints

Background (background.ts)

The service worker that manages:

• Side panel toggling via browser action
• BrowserOS Core health checks
• MCP tools fetching
• LLM provider configuration backup
• Extension installation triggers (opens onboarding)

New Tab (newtab/)

Custom new tab replacement featuring:

• Unified Search Bar: Search Google or ask AI directly
• Tab Context: Attach open tabs to provide context for AI queries
• Search Suggestions: Real-time suggestions from multiple providers (Google, Bing, DuckDuckGo, Yahoo, Yandex)
• AI Suggestions: Context-aware BrowserOS action suggestions
• Top Sites: Quick access to frequently visited sites
• Theme Toggle: Light/dark mode support

Side Panel (sidepanel/)

The main chat interface for BrowserOS:

• Chat Modes: Switch between chat and agent modes
• Provider Selector: Choose from configured LLM providers
• Tab Attachment: Include browser tab content as context
• Tool Calls: Visual display of MCP tool invocations
• Message Actions: Like/dislike feedback, copy responses
• Conversation Management: Start new conversations, view history

Onboarding (onboarding/)

Multi-step onboarding flow for new users:

• Welcome screen with product highlights
• Feature showcase with animated cards
• Step-by-step setup wizard
• Provider configuration guidance

Options (options/)

Settings dashboard with multiple sections:

• AI Settings: Configure LLM providers (API keys, models, base URLs)
• LLM Hub: Manage chat-specific provider settings
• MCP Settings: View and manage MCP server connections
• Connect MCP: Add managed or custom MCP servers

Glow Content (glow.content/)

Content script that creates a visual indicator (pulsing orange glow) around the browser viewport when an AI agent is actively working on a tab.

Development

Prerequisites

• Bun installed
• Chrome or Chromium-based browser
• BrowserOS Server running locally (for full functionality)

Setup

# Copy environment file
cp .env.example .env.development

# Install dependencies
bun install

# Start development server
bun run dev

# Build for production
bun run build

# Create distributable zip
bun run zip

Loading the Extension

1. Run bun run dev to start the development server
2. Open Chrome and navigate to chrome://extensions
3. Enable "Developer mode"
4. Click "Load unpacked" and select the dist/ directory

Environment Variables

Create a .env.development file for local development:

SENTRY_ORG=your-org
SENTRY_PROJECT=your-project
SENTRY_AUTH_TOKEN=your-token

GraphQL Schema

Codegen requires a GraphQL schema. By default it uses the bundled schema/schema.graphql, so no extra setup is needed. If you have access to the original API source, you can set the following environment variable:

GRAPHQL_SCHEMA_PATH=/path/to/api-repo/.../schema.graphql

Development Tooling

Bun

Bun is the exclusive runtime and package manager:

• All scripts use bun run <script> instead of npm
• Package installation via bun install
• Environment files automatically loaded (no dotenv needed)
• Enforced via engines field in package.json

Biome

Unified linter and formatter configured in biome.json:

• Formatting: 2-space indentation, single quotes, no semicolons
• Linting: Recommended rules plus custom rules for unused imports/variables
• CSS Support: Tailwind directives parsing enabled
• Import Organization: Automatic import sorting via assist actions

Scripts

Script	Description
bun run dev	Start development mode with hot reload
bun run build	Build production extension
bun run zip	Create distributable zip file
bun run lint	Run Biome linter
bun run lint:fix	Auto-fix linting issues
bun run typecheck	Run TypeScript type checking
bun run codegen	Generate GraphQL types
bun run clean:cache	Clear build caches