BrowserOS is an open-source agentic browser designed as a secondary browser for AI agents to perform web-based tasks independently.
The tool addresses the need for AI agents to interact with web applications that require authentication and human-like browser behavior. Rather than replacing your primary browser, BrowserOS provides a dedicated environment where agents can operate in parallel across multiple tabs while you observe their actions in real time or review sessions afterward. The browser imports logins, bookmarks, and extensions directly from Chrome, eliminating setup friction. It integrates with AI agents including Claude Code, Codex, Cursor, and MCP-compatible systems through a single-click connection process.
BrowserOS suits developers and teams who want to automate web-based workflows that demand logged-in access—such as social media posting, email management, CRM updates, expense filing, and report generation from internal tools. It is built for local execution, meaning all processing happens on your machine without cloud dependencies. The tool works across Windows, macOS, and Linux. This approach differs from cloud-based alternatives by keeping your credentials and browsing activity local while still enabling agent autonomy.
The project maintains active community engagement through Discord and Slack channels. Development activity shows ongoing refinement of agent integration capabilities and cross-platform stability. The codebase is written in TypeScript and remains under active iteration to expand agent compatibility and improve the replay and monitoring features that let you audit agent behavior after tasks complete.
