
Browser that runs AI agents locally...
BrowserOS is an open-source AI agent browser that integrates AI agents into the browser for local automation. It provides a privacy-first solution for users who frequently interact with web pages. However, the setup process may be challenging for non-technical users, and Chinese resources are relatively limited. Recommendation: ★★★★☆ (4.0/5.0)
BrowserOS is a browser that runs AI agents locally on your machine, designed to provide a privacy-first browsing experience while enhancing automation capabilities through integrated AI agents. Users can complete complex web tasks, such as filling out forms, scheduling meetings, and researching information, by describing them in natural language without leaving the current tab. BrowserOS supports integration with over 40 apps including Gmail, Slack, Notion, Calendar, Salesforce, HubSpot, Figma, and Jira via its built-in MCP server, which can be connected with a single click. It also provides scheduled tasks and workflow automation features, making it suitable for users who need daily automation. Users can utilize their own AI models, such as Kimi K2.5, Claude Opus 4.6, or Gemini, as drivers for the agent without switching tabs. The project has gained + stars on GitHub, indicating active community support. BrowserOS has already released the neo version, which further optimizes agent functionality and multi-platform compatibility, supporting macOS, Windows, and Linux systems.
Difficulty: Intermediate
Locally-Run AI Agent
BrowserOS's AI agent runs locally on the user's device, without uploading data to the cloud, ensuring user privacy. The agent can understand natural language instructions and automatically perform actions in the browser, such as clicking buttons, typing text, and navigating pages. This local execution makes BrowserOS suitable for users with high data security requirements.
Supports Multiple AI Models
BrowserOS allows users to use multiple AI models as the agent's driver, including Kimi K2.5, Claude Opus 4.6, and Gemini. Users can choose different models based on their needs without switching browser tabs. This flexibility makes BrowserOS adaptable to different AI usage preferences.
MCP Server Integration
BrowserOS includes a built-in MCP server, allowing users to connect external applications such as Gmail, Slack, and Notion to achieve cross-app automation. The MCP server supports one-click connection and allows users to add custom MCP servers to further expand its capabilities.
Scheduled Tasks & Workflows
BrowserOS supports users in setting up scheduled tasks, such as automatically executing certain actions every morning. Users can also build complex workflows with loops, conditions, and other logic for more advanced automation. This feature is especially suitable for users who need to regularly perform repetitive tasks.
Founder's Daily Briefing
Founders can use BrowserOS to get daily briefings from calendars, Slack, and emails with a single command, automatically aggregating information. This feature reduces manual operations and improves information processing efficiency.
Developer Terminal Control
Developers can control the browser via BrowserOS's MCP server from tools like Claude Code, Gemini CLI, or Codex. For example, testing websites, capturing console errors, and submitting bug reports can be done without switching to the browser interface.
Researcher's Price Tracking
Researchers can use BrowserOS to schedule the scraping of competitor pricing information and automatically organize it into Google Sheets. This feature saves time on manual data collection and organization, improving research efficiency.
BrowserOS supports macOS, Windows, and Linux systems, allowing users to install and use it on these platforms. However, the installation process and compatibility may vary slightly across platforms, with specific details to be found in the official documentation.
Users can use their own AI models as the agent's driver, such as Kimi K2.5, Claude Opus 4.6, or Gemini. Additionally, users can connect custom tools and applications via the MCP server to achieve more flexible automation.
BrowserOS's agent features require an internet connection to access AI models, but all operations and data processing occur locally. Users can use the browser itself without an internet connection, but the AI agent features will not be functional.
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