A local browser that enables AI agents to perform web tasks using existing user logins while providing session recordings for auditing.
What the product does and how it is positioned
BrowserOS neo is a specialized browser environment built to allow AI agents to navigate and interact with the web using existing user logins.
The tool integrates with various AI assistants through the Model Context Protocol to automate complex tasks that require authentication.
It prioritizes data privacy by keeping all browsing history, credentials, and session recordings exclusively on the user's local hardware.
Source-supported ways to use the product
Agents can draft and post content across multiple platforms using the user's active sessions.
AI assistants can search for flights and fill out checkout forms directly within the browser environment.
The tool allows agents to navigate email accounts to unsubscribe from newsletters or organize messages.
The documented workflow, where available
Download and install the application on a compatible macOS or Windows system.
Link the browser to AI tools such as Claude Code or Cursor using the one-click MCP setup.
Initiate web tasks from the connected AI agent's interface to begin automated browsing.
Observe the agent's actions in real-time or review the saved session video afterward for auditing.
The browser provides a dedicated environment where AI agents can perform actions like clicking buttons, filling forms, and reading page content. It utilizes the Model Context Protocol to facilitate communication between the browser and external AI tools, allowing for one-click connections without complex configuration files.
Checks to run with your own material and workflow
What was checked and when
Answers based on the source-checked product record
BrowserOS neo is a browser designed for AI agents to perform tasks using the user's logged-in accounts while providing a dashboard for monitoring.
All session history, screenshots, and settings are stored as local files on the user's machine, ensuring that data does not leave the device.
It works with agents that support the Model Context Protocol, including Claude Code, Cursor, Codex, VS Code, Zed, and GitHub Copilot.
Yes, it is designed as a secondary browser so agents can work in their own tabs without interrupting or closing the user's active windows.
The session replay feature saves every run as a scrubbable video, allowing users to rewind and review the agent's actions to find mistakes.
