BrowserOS is an open-source, AI-native web browser built on Chromium that integrates autonomous AI agents directly into the browsing experience. It allows users to describe tasks in natural language, which the browser then executes by performing actions such as clicking, typing, navigating pages, and completing multi-step workflows. The system is designed to function as a privacy-first alternative to traditional browsers by running AI agents locally on the user’s machine whenever possible.

The browser supports multiple interaction modes, including chat-based assistance for understanding web pages, agent mode for executing tasks, and workflow-style graph automation for reusable processes. These capabilities enable users to automate repetitive actions such as form filling, data extraction, research, and cross-site navigation without manual interaction.

BrowserOS is built with extensibility in mind and integrates with external tools through MCP (Model Context Protocol) servers. It includes built-in connectors for services such as Gmail, Calendar, Notion, and other productivity tools, effectively turning the browser into a centralized automation hub.

A key design principle is local-first execution. Users can connect cloud models like Claude, GPT, or Gemini, or run local models via tools such as Ollama. This flexibility allows organizations and individuals to balance performance, cost, and privacy depending on their needs.

Because it is Chromium-based, BrowserOS maintains compatibility with Chrome extensions, bookmarks, and familiar browsing workflows while adding an AI automation layer on top. It is also fully open source, allowing developers to inspect, modify, and extend its capabilities.

The project is positioned as part of a broader shift toward “agentic browsers,” where the browser is not just a navigation tool but an active assistant capable of executing complex digital tasks on behalf of the user.

Key features include:

• AI agents that automate web browsing and multi-step tasks
• Natural language task execution (“do this for me” workflows)
• Chat, agent, and visual workflow graph modes
• Integration with MCP tools (Gmail, Calendar, Notion, etc.)
• Support for local models (Ollama) and cloud LLM providers
• Chromium compatibility with Chrome extensions
• Local-first, privacy-focused execution model
• Open-source architecture (AGPL-3.0)
• Built-in automation for scraping, forms, and research

Common use cases include:

• Automating repetitive browsing tasks
• Web scraping and structured data extraction
• Research and summarization workflows
• Managing emails, calendars, and productivity tools via browser
• Testing and interacting with web applications
• Building reusable automation workflows for daily tasks

BrowserOS is developed as an open-source project focused on rethinking the browser as an AI execution environment, combining traditional web navigation with autonomous agent capabilities.