BrowserOS

Product Introduction

1. BrowserOS is an open-source, privacy-first web browser designed to execute AI agents locally on a user's device, enabling automated task completion through natural language commands. It operates as a Chromium-based alternative with integrated AI capabilities, supporting both local LLM models and major cloud-based AI APIs like Gemini and Claude. The browser translates user instructions into automated actions such as clicking, typing, and navigation without requiring coding expertise.
2. The core value of BrowserOS lies in merging browser functionality with agentic AI to automate workflows while maintaining strict data privacy. It prioritizes local execution of AI tasks to ensure sensitive information remains on-device, offering a secure alternative to conventional browsers that rely on cloud-based processing.

Main Features

1. Natural Language Automation: Users describe tasks in plain language (e.g., "scrape prices from this page") to create repeatable AI agents that handle web interactions like form submissions, data extraction, and navigation. These agents run locally, eliminating dependency on external automation tools or scripts.
2. Split-View AI Integration: A side panel integrates ChatGPT, Claude, Gemini, or local LLMs via Ollama/LMStudio, enabling real-time assistance for tasks like document drafting or article summarization without leaving the current webpage. This feature supports multitasking across AI models and browsing contexts.
3. MCP Server Compatibility: BrowserOS includes preconfigured integrations for Gmail, Google Calendar, Docs, Sheets, and Notion, with one-click installation for additional MCP servers. This transforms the browser into a centralized interface for managing productivity tools and automating cross-platform workflows.

Problems Solved

1. Manual Task Repetition: Eliminates time-consuming manual browser interactions by automating complex workflows (e.g., data scraping, form filling) through AI agents triggered by natural language inputs.
2. Privacy Risks in AI Browsing: Addresses corporate and individual privacy concerns by processing sensitive data locally via on-device LLMs or user-controlled API keys, preventing third-party cloud exposure.
3. Fragmented Workflow Management: Streamlines access to productivity tools (email, calendars, docs) and AI models within a single interface, reducing context-switching between apps and browser tabs.

Unique Advantages

1. Open-Source Agentic Framework: Unlike Chrome or Safari, BrowserOS provides transparent, modifiable AI automation infrastructure, allowing developers to audit or enhance its privacy-focused architecture.
2. Hybrid AI Model Support: Uniquely supports both local LLMs (via Ollama/LMStudio) and major cloud APIs within the same interface, enabling flexibility for privacy-sensitive or resource-intensive tasks.
3. Chrome Extension Parity: As a Chromium fork, it maintains full compatibility with Chrome extensions and user data imports while adding AI automation layers absent in mainstream browsers.

Frequently Asked Questions (FAQ)

1. What makes BrowserOS different from other browsers? BrowserOS is the first open-source browser with built-in AI agents that automate tasks via natural language, prioritizing local execution and privacy over cloud-dependent solutions like Chrome or ChatGPT-integrated tools.
2. What AI models does BrowserOS support? It supports OpenAI GPT, Anthropic Claude, Google Gemini, and local models through Ollama/LMStudio, allowing users to switch between providers or use offline LLMs without data leakage.
3. Is BrowserOS compatible with Chrome extensions? Yes, as a Chromium-based browser, it runs all Chrome extensions natively and enables seamless import of bookmarks, passwords, and settings from existing Chrome profiles.
4. How much does BrowserOS cost? The browser is free and open-source; users only incur costs when opting for paid cloud AI APIs, with local model usage remaining entirely cost-free.
5. Can I contribute to BrowserOS development? Yes, the project welcomes code contributions, feature requests, and feedback via its GitHub repository and active Discord/Slack communities, with maintainers actively reviewing submissions.