BrowserOS is an open-source Chromium-based browser that embeds AI agents capable of performing browser automation tasks using natural language. Designed as a privacy-first alternative to proprietary AI browsers like ChatGPT Atlas and Perplexity Comet, it allows users to control web interactions — clicking, typing, scraping, and navigating — through plain-language commands while keeping data local. Built for developers, researchers, and power users, it supports both cloud and local LLMs (Ollama, LM Studio) and integrates with 40+ apps via MCP.
Technically, BrowserOS is a monorepo with a Chromium fork (C++/Python) and an agent platform (TypeScript/Go) featuring an MCP server, browser extension UI, and Go CLI. It includes a sandboxed agent loop, CDP protocol bindings, and a Node.js SDK (@browseros-ai/agent-sdk) for programmatic browser control. Deployment is native across macOS, Windows, and Linux with full Chrome data import support and cloud sync.
What You Get
- AI Agent - Execute browser actions like clicking, typing, and scraping using natural language prompts — no coding required, powered by 53+ built-in automation tools.
- MCP Server - Exposes browser control via the Model Context Protocol (MCP), enabling integration with Claude Code, Gemini CLI, and other LLM agents to automate tasks from terminals or external AI tools.
- Workflows - Visually build and execute multi-step browser automations with drag-and-drop nodes for conditions, loops, and sequential actions.
- Cowork - Combine web automation with local file operations: scrape data, then save reports directly to your filesystem or cloud folders like Google Drive or Dropbox.
- Scheduled Tasks - Automate recurring browser actions (e.g., daily price checks or email summaries) to run hourly, daily, or at custom intervals without manual intervention.
- Memory - Maintain persistent context across conversations so the AI agent remembers past interactions, user preferences, and task history for coherent long-term automation.
- SOUL.md - Define your AI agent’s personality, tone, and behavior using a single Markdown file that controls how it responds and acts in the browser.
- LLM Hub - Compare responses from Claude, GPT-4o, Gemini, and other models side-by-side on the same webpage to evaluate accuracy and style.
- 40+ App Integrations - Connect to Gmail, Slack, Notion, GitHub, Salesforce, Figma, and more via MCP for automated data sync and task triggering without leaving the browser.
- Vertical Tabs - Manage 100+ open tabs with a collapsible side-panel interface that improves organization and reduces clutter compared to traditional horizontal tabs.
- Ad Blocking (MV2) - Enhanced ad and tracker blocking using uBlock Origin with Manifest V2 support, offering 10x more protection than standard Chrome.
- Cloud Sync - Synchronize browser settings, agent history, and workflow configurations across multiple devices using encrypted cloud storage.
Common Use Cases
- Daily business briefings for founders - A founder runs a scheduled workflow that pulls calendar events, Slack messages, and email summaries to generate a morning briefing using their AI agent — all without switching apps.
- Automated competitor pricing research for marketers - A marketer sets up a scheduled scraper to monitor competitor product pages, extract prices, and save results to a Google Sheet every morning.
- Controlling the browser from Claude Code as a developer - A developer uses Claude Code to instruct BrowserOS to test a staging site, capture console errors, and file GitHub issues — all via terminal commands without manual browser interaction.
- Sales lead follow-up automation for sales reps - A sales rep configures BrowserOS to pull open deals from Salesforce, draft personalized follow-up emails, and update HubSpot notes automatically based on email replies.
- Researcher data collection for academic work - A researcher schedules BrowserOS to scrape academic journals, extract key findings, and organize them into annotated PDFs stored in their local research folder.
- Executive assistant task triage - An executive assistant uses BrowserOS to auto-flag urgent emails, create Notion tasks from action items, and block focus time on Google Calendar using natural language commands.
Under The Hood
Architecture
- Modular monorepo structure enforces clear separation between browser core subsystems and UI components, using package boundaries to isolate concerns
- Dependency injection via PrefService and PrefRegistrySyncable enables configuration-driven behavior without tight coupling across modules
- Service-layer patterns in BrowserHandler and BrowserOSMetricsService decouple business logic from rendering and platform specifics
- Factory patterns with SimpleURLLoader and SharedURLLoaderFactory ensure clean ownership and lifecycle management of network resources
- Conventional Commits and Biome linting maintain architectural consistency across distributed packages
- React components are tightly aligned with domain models like BrowserOSExtensionInfo, creating a component-driven UI that mirrors the browser engine’s data flow
Tech Stack
- TypeScript frontend with React, Radix UI, and Lucide-react for rich, accessible interfaces
- Go backend services with WXT for extension packaging and Biome for code quality enforcement
- Lefthook and Conventional Commits enforce disciplined Git workflows and commit hygiene
- Monorepo architecture centralizes shared logic in packages/browseros-agent with strong TypeScript type safety
- Tailwind CSS and Shiki provide modern styling and syntax highlighting for enhanced user experience
- Integrated testing and linting pipelines ensure consistent code standards across the stack
Code Quality
- Extensive test coverage spans unit, integration, and end-to-end scenarios with realistic browser and server interactions
- Robust test infrastructure includes reusable environment setup/teardown utilities to ensure deterministic test behavior
- Clear separation of concerns between server and agent components with well-defined interfaces and dependency injection
- Comprehensive error handling with structured assertions and meaningful failure messages, though custom error classes are not utilized
- Strong type safety enforced through TypeScript interfaces and precise type assertions in test utilities
- Consistent naming conventions and modular organization with reusable test helpers enhance readability and maintainability
What Makes It Unique
- Deep integration of accessibility tree serialization into Chromium’s extension API enables real-time semantic DOM analysis for AI-driven content understanding
- Custom Chromium patches expose internal browser state (render widget snapshots, AXNodeData) via extension APIs, bridging browser internals with AI agents
- Built-in AI source attribution system provides interactive, collapsible provenance tracking for AI-generated content—unprecedented in consumer browsers
- Radix UI components extended with browser-specific behaviors create a cohesive, high-fidelity UI tailored for AI-augmented interactions
- Extension API modifications allow AI agents to directly manipulate browser UI elements, transforming the browser into an active, programmable AI workspace