Browser OS

BrowserOS is an open source agentic browser that brings artificial intelligence directly into the browsing experience. It allows users to research information, summarize pages, extract data, complete online actions, and automate repetitive browser tasks through natural language instructions.

Built on Chromium, BrowserOS provides a familiar browsing environment while adding an integrated AI agent that can click, type, navigate, read pages, and interact with websites. Users can connect supported cloud models, use existing AI subscriptions where available, provide their own API keys, or run compatible models locally.

BrowserOS is designed for people who want browser automation without giving up control over their preferred models, browsing sessions, extensions, or data. It can support individual productivity, research, development, marketing, sales, administration, and other workflows that depend heavily on web applications.

Reviewed by Add AI Directory Editorial Team

The Add AI Directory Editorial Team reviewed BrowserOS based on its browser automation capabilities, model support, privacy controls, open source availability, supported platforms, integrations, and suitability for everyday web workflows.

BrowserOS stands out because it treats the browser as an active workspace rather than a passive tool for opening websites. Its integrated agent can perform actions across pages, work with browser context, and help users complete multistep tasks from a single instruction.

The platform may be especially useful for developers, researchers, marketers, sales professionals, operations teams, and privacy conscious users who want greater control over how AI is connected to their browser. The ability to choose between local and cloud models also gives users more flexibility than browsers tied to one AI provider.

Overview of Browser OS

BrowserOS combines standard web browsing with built in AI agents capable of understanding instructions and acting on websites. Instead of copying information between a browser, chatbot, spreadsheet, and project management tool, users can ask the agent to complete parts of the workflow directly.

A user might ask BrowserOS to compare products, summarize several articles, collect information from multiple pages, organize research, fill out a form, draft a response, or update an application connected through an integration. The agent can then navigate the relevant pages and perform the required browser actions.

Because BrowserOS is based on Chromium, the experience remains familiar to people who already use Chrome or another Chromium browser. Users can work with tabs, bookmarks, saved passwords, browser history, and compatible extensions while gaining access to an additional AI automation layer.

BrowserOS also supports different approaches to model access. Users can connect cloud based providers for stronger general purpose reasoning or configure local models for workflows where local processing and greater data control are important.

The browser is free and open source, although users may still incur charges when connecting paid model APIs or other external services. This gives users control over which models and services they use rather than requiring a single bundled AI subscription.

What Is BrowserOS

BrowserOS is an agentic web browser built to help users complete tasks through natural language. An agentic browser does more than answer questions about a page. It can take actions such as opening links, clicking buttons, entering text, reading content, navigating through several pages, and carrying out a sequence of steps.

For example, a traditional AI browser assistant might summarize the article currently open in a tab. BrowserOS can go further by visiting multiple sources, collecting relevant details, comparing the findings, and organizing the results into a useful format.

The browser includes an AI agent within the browsing environment, reducing the need to constantly switch between websites and a separate chatbot. The agent can use the context of the open page and interact with supported web applications as part of a broader workflow.

BrowserOS supports multiple AI providers rather than limiting users to one model. Supported options can include models from OpenAI, Anthropic, Google, OpenRouter, and other providers. Users can also connect local model software such as Ollama or LM Studio when they prefer to run compatible models on their own computer.

Local model support can be valuable when users want to reduce reliance on external AI services. However, the privacy of a specific workflow still depends on the selected model, connected applications, websites visited, and any external services involved.

BrowserOS also supports Model Context Protocol connections. These connections allow the browser agent to interact with compatible applications and tools, including productivity, communication, development, and project management platforms.

Developers can use BrowserOS with compatible coding agents and Model Context Protocol clients. This makes it possible for an external AI coding tool to control browser actions while the user observes the process inside the browser.

Because BrowserOS is open source, developers can inspect the code, contribute improvements, report issues, and customize the project for specific requirements. This provides greater transparency and flexibility than closed browser automation platforms.

How To Use BrowserOS

1. Download and Install

Visit the official BrowserOS website and select the installer for your operating system. BrowserOS is available for macOS, Windows, and supported Linux environments.

Complete the installation process as you would for another desktop browser. After opening BrowserOS, you can begin with a new setup or import information from an existing Chromium browser.

BrowserOS can import items such as bookmarks, saved passwords, browsing data, and compatible extensions. This makes it easier to adopt BrowserOS without rebuilding your browser environment from the beginning.

Before importing sensitive browser information, review the available settings and decide which data you want to transfer.

2. Connect Your AI Model or Run Locally

Choose the AI provider that will power the BrowserOS agent. Depending on the provider, you may connect an existing account, authorize a supported subscription, or enter your own API key.

Users who prefer cloud models can connect providers such as OpenAI, Anthropic, Google, or other supported services. Cloud models may provide stronger reasoning and broader capabilities, but requests are processed according to the policies of the selected provider.

Users who prefer local processing can connect BrowserOS to compatible software such as Ollama or LM Studio. A local setup allows the model to run on the user’s computer, although speed and performance will depend on the device and selected model.

Review the provider settings carefully before using BrowserOS with confidential information. Local browsing does not automatically mean that every connected model or application processes information locally.

3. Browse With AI Assistance

Use BrowserOS as a standard browser for opening pages, managing tabs, saving bookmarks, and accessing web applications. When assistance is needed, open the BrowserOS agent and describe the task in plain language.

You can ask the agent to summarize a page, explain unfamiliar information, identify important details, extract structured data, compare several options, or answer questions based on the current browser context.

Clear instructions generally produce better results. Include the desired goal, the information that matters, any restrictions, and the format in which you want the results.

For example, instead of asking the agent to research a company, ask it to review the company website, identify its primary services, summarize its target customers, and organize the findings into four short sections.

4. Build and Automate With Agents

BrowserOS can perform multistep workflows involving several browser actions. Describe the complete task and allow the agent to navigate through the necessary pages.

Potential workflows include gathering product information, reviewing competitor websites, organizing research, updating records, drafting messages, completing forms, and moving information between connected applications.

Users can also connect compatible Model Context Protocol servers to expand the applications available to the agent. Integrations may support services related to email, calendars, documents, communication, customer management, development, design, and project tracking.

Start with low risk tasks before allowing the agent to work with important accounts or sensitive information. Review each step and confirm that the agent is selecting the correct pages, fields, and actions.

5. Manage Privacy and Data

Open the BrowserOS settings to review model connections, API keys, browser permissions, imported information, extensions, and connected applications.

Choose whether a workflow should use a cloud model or a local model. When using a cloud provider, review that provider’s data handling and retention policies. When using a local model, verify that the model connection points to the intended local service.

Limit unnecessary access to email, files, customer information, financial accounts, and administrative systems. Browser agents can perform powerful actions, so they should only receive the permissions required for the current task.

Users should also supervise workflows involving purchases, account changes, messages, bookings, legal documents, or other consequential actions. Review the final information before submitting or approving anything important.

BrowserOS Key Features

Built In Browser Agent

BrowserOS includes an AI agent that can interact with websites from within the browser. Users can describe a task in everyday language and allow the agent to navigate, click, type, read, and complete supported actions.

This creates a more direct workflow than copying page content into a separate chatbot and manually applying the response.

Natural Language Browser Automation

Users do not need to write traditional automation scripts for many common tasks. BrowserOS can interpret instructions such as collecting information from several pages, comparing options, or entering information into a web application.

The quality of the result depends on the clarity of the instruction, the selected model, the structure of the website, and the permissions available to the agent.

Multiple AI Provider Support

BrowserOS supports multiple cloud and local model providers. Users are not restricted to a single AI company or bundled model.

This flexibility allows people to choose different models for research, writing, reasoning, speed, cost, privacy, or compatibility.

Local Model Support

Users can connect compatible local models through tools such as Ollama and LM Studio. Local model support can reduce dependence on external AI APIs and provide additional control over model processing.

Performance will vary based on the model size, computer hardware, available memory, and complexity of the task.

Bring Your Own API Keys

BrowserOS allows users to connect supported AI services using their own API credentials. This gives users direct control over the provider account, model selection, usage limits, and associated costs.

API credentials should be protected carefully and should never be shared publicly.

Chromium Based Browsing

BrowserOS is built on Chromium, providing a browser experience that is familiar to Chrome users. It supports standard browsing features and compatibility with many Chrome extensions.

Users can import browser information to reduce the work required when switching from an existing Chromium browser.

Chrome Extension Compatibility

Many existing Chrome extensions can be installed and used inside BrowserOS. This allows users to retain tools related to productivity, development, writing, password management, analytics, and other browser based workflows.

Extension compatibility may vary, so users should test important extensions before fully changing browsers.

Model Context Protocol Integrations

BrowserOS can connect with compatible applications through Model Context Protocol servers. These connections can allow agents to work with tools such as email platforms, calendars, document systems, communication applications, and development services.

Integrations expand BrowserOS beyond page based browsing and make it useful for workflows that span several business applications.

Support for Coding Agents

BrowserOS can work with compatible AI coding tools and Model Context Protocol clients. Developers can use these connections to automate browser testing, inspect web applications, perform repetitive development tasks, or allow a coding agent to interact with logged in browser sessions.

This can be useful for testing workflows that are difficult to reproduce in a separate headless browser environment.

Open Source Availability

BrowserOS is free and open source. Developers and technical users can inspect the source code, contribute changes, review reported issues, and adapt the browser for specific use cases.

Open source availability also gives organizations more visibility into how the browser is developed compared with fully closed platforms.

Cross Platform Support

BrowserOS is available for macOS, Windows, and Linux. This makes it accessible to individuals and teams working across different desktop operating systems.

Specific installation formats and system requirements may differ by platform.

Reusable Browser Workflows

BrowserOS can support repeatable workflows for research, data collection, administrative tasks, and application updates. Instead of manually completing the same sequence each time, users can give the agent a consistent set of instructions.

Important workflows should still be reviewed regularly because websites, page layouts, permissions, and application interfaces can change.

BrowserOS Use Cases

Online Research

Researchers can ask BrowserOS to visit several sources, collect relevant information, summarize findings, and organize results. This can reduce the amount of manual tab switching involved in early stage research.

Users should verify important claims against the original sources before relying on the final summary.

Competitor Research

Marketing and strategy teams can use BrowserOS to review competitor websites, compare services, identify messaging patterns, examine pricing pages, and collect publicly available information.

The agent can help organize repeated research into a more consistent structure.

Product and Price Comparison

Consumers and purchasing teams can use BrowserOS to compare product specifications, pricing, policies, availability, and other decision factors across several websites.

Final pricing, inventory, shipping, taxes, and terms should be confirmed directly before making a purchase.

Content Research

Writers and marketers can gather supporting information, summarize reference pages, identify recurring themes, and organize source material before creating content.

BrowserOS can reduce repetitive research work, but the user remains responsible for fact checking and originality.

Lead Research

Sales teams can review company websites, collect public business information, summarize potential customer needs, and prepare notes before outreach.

BrowserOS may also help organize information within connected customer management tools when the appropriate integrations and permissions are available.

Email and Calendar Assistance

Through compatible integrations, BrowserOS can support inbox organization, draft preparation, calendar review, meeting planning, and other administrative tasks.

Users should review recipients, dates, attachments, and message content before sending communications or creating appointments.

Data Collection

BrowserOS can extract information from web pages and organize it for analysis. This can help with public directory research, content audits, pricing reviews, product catalogs, and other structured data tasks.

Users must follow applicable website terms, access rules, privacy requirements, and legal restrictions when collecting data.

Form Completion

The browser agent can help enter information into online forms and navigate multistep processes. This may be useful for repetitive administrative tasks, internal systems, applications, and data entry workflows.

Sensitive forms should always be reviewed before submission.

Customer Relationship Management Updates

Sales and operations teams can use supported integrations to move information between websites, email conversations, and customer management systems.

For example, an agent could gather public information about a company, draft a follow up message, and prepare a customer record for review.

Development and Browser Testing

Developers can connect BrowserOS to compatible coding agents for browser based testing, page inspection, application navigation, and workflow validation.

Because BrowserOS can use existing logged in sessions, it may be helpful for testing authenticated experiences that require access to real application accounts.

Personal Productivity

Individuals can use BrowserOS to summarize reading material, organize information, compare services, prepare messages, manage routine browser work, and reduce repetitive clicking.

The browser can function as both a normal browsing tool and an AI assisted workspace.

BrowserOS FAQ

Is BrowserOS free?

BrowserOS is free and open source. Users may still need to pay for usage when connecting paid AI model APIs, external applications, or other subscription based services.

Running a compatible local model may reduce API expenses, but it can require suitable computer hardware.

Which operating systems support BrowserOS?

BrowserOS supports macOS, Windows, and Linux. Available installation files and requirements may differ depending on the operating system.

Is BrowserOS based on Chromium?

Yes. BrowserOS is built on Chromium, which gives it a familiar interface and compatibility with many features commonly used in Chrome.

Can BrowserOS use Chrome extensions?

BrowserOS supports Chrome extensions because it is built on Chromium. Compatibility can vary depending on the extension, browser permissions, and changes made by the extension developer.

Can I import bookmarks and passwords?

BrowserOS can import browser data such as bookmarks, passwords, and extensions from a compatible browser. Review the import options before transferring sensitive information.

Which AI models work with BrowserOS?

BrowserOS supports multiple providers, including cloud services and local model software. Available providers can include OpenAI, Anthropic, Google, OpenRouter, Ollama, LM Studio, and other supported options.

The specific models available may change as BrowserOS and its provider integrations are updated.

Can BrowserOS run AI models locally?

Yes. BrowserOS can connect to compatible local model software such as Ollama and LM Studio. Local model performance depends on the selected model and the capabilities of the user’s computer.

Do I need an API key?

An API key may be required when connecting certain cloud model providers. Other connection methods may support account authorization or existing subscriptions. Local models generally use a local connection rather than a cloud API key.

Does BrowserOS keep all data local?

BrowserOS is designed to provide local control, but data handling depends on how the browser is configured. Information may be sent to an external provider when a user connects a cloud model, application integration, or other online service.

Users should review every connected service before processing sensitive information.

What tasks can the BrowserOS agent perform?

The agent can read pages, navigate websites, click elements, enter text, extract information, summarize content, and perform supported multistep workflows.

Results can vary based on the selected model, website design, task complexity, permissions, and available integrations.

Can BrowserOS automate logged in websites?

BrowserOS can work within the browser sessions where the user is already signed in. This can make it useful for workflows involving email, project management tools, customer systems, and other authenticated applications.

Users should supervise actions involving private accounts or important data.

Does BrowserOS support Model Context Protocol?

Yes. BrowserOS supports compatible Model Context Protocol connections. These integrations can allow the agent to interact with external applications and AI development tools.

Can developers use BrowserOS?

Yes. Developers can use BrowserOS for browser automation, application testing, agent development, integration experiments, and workflows connected to compatible coding assistants.

Its open source code also allows developers to inspect and modify the project.

Is BrowserOS suitable for businesses?

BrowserOS may be useful for businesses that want to automate browser based research, sales, marketing, administrative, or development workflows.

Organizations should evaluate security, permissions, model providers, integration access, and internal data policies before deploying any agentic browser across a team.

Is BrowserOS safe to use with sensitive accounts?

BrowserOS gives users control over models and integrations, but agentic browsing still requires caution. Users should limit permissions, supervise important actions, protect API credentials, and avoid granting unnecessary access to sensitive accounts.

Transactions, account changes, legal submissions, financial activity, and external communications should be reviewed by a person before completion.

What makes BrowserOS different from a standard browser?

A standard browser primarily helps users access and interact with websites manually. BrowserOS adds an integrated AI agent that can understand instructions and perform browser actions on the user’s behalf.

It also provides model choice, local model support, open source availability, application integrations, and connections for compatible AI development tools.

Who should use BrowserOS?

BrowserOS may be a good fit for developers, researchers, marketers, sales teams, operations professionals, technical users, and individuals who perform repetitive work across websites.

It is especially relevant for users who value model flexibility, browser automation, open source software, and greater control over how AI services are connected.