BrowserOS

Name: BrowserOS — Free Download. Browser with local AI agents
Availability: InStock
Rating: 5 (1 reviews)
Author: BrowserOS

BrowserOS is an open-source Chromium-based browser that runs artificial intelligence agents directly on the user's device. It offers privacy and automation through local AI models.

★★★★★

5.0(1 rating)

Download BrowserOS (Official links)

File size: 103 MB

The latest version of BrowserOS is: 0.12.1

Operating system: Windows, MacOS

Languages: English

Developer: BrowserOS

Price: $0.00 USD

Local AI agents. BrowserOS integrates AI models specialized in browsing and computer usage tasks. These agents can automate complex workflows without needing to connect to external servers.
Privacy with Ollama. The system uses Ollama to run language models locally. All data remains on the user's device without being transferred to external servers.
AI ad blocker. Includes an advanced ad-blocking system based on language models that analyzes content in real time.
Extension compatibility. As a Chromium fork, it maintains full compatibility with all extensions available for Chrome.
Productivity tools. Includes built-in features such as automatic highlighting and intelligent bookmarks powered by ChatGPT.
Semantic search. Allows advanced searches through history, bookmarks, and visited content using natural language processing.
Task automation. Agents can schedule meetings, fill out forms, and handle repetitive processes using simple commands.
Automated research. Capable of analyzing multiple web sources, synthesizing information, and generating comprehensive reports automatically.
Relevant content filtering. Social media analysis system that identifies important posts based on customizable criteria.
Open architecture. Released under AGPL-3.0 license, allowing modification and full source code auditing.

BrowserOS was developed as a response to the privacy limitations of conventional browsers. The project started in 2023 as a Chromium fork, primarily using C++ and Rust for low-level components. The AI agents are implemented using a combination of WebAssembly and models optimized for local execution.