BrowserOS – "Claude Cowork" in the browser
Hey HN! We're Nithin and Nikhil, twin brothers building BrowserOS (YC S24). We're an open-source, privacy-first alternative to the AI browsers from big labs. The big differentiator: on BrowserOS you can use local LLMs or BYOK and run the agent entirely on the client side, so your company/sensitive data stays on your machine! Today we're launching filesystem access... just like Claude Cowork, our browser agent can read files, write files, run shell commands! But honestly, we didn't plan for this. It turns out the privacy decision we made 9 months ago accidentally positioned us for this…
BrowserOS – "Claude Cowork" in the browser launched on January 22, 2026 with 88 votes, #398 of 14,585 launches that month and more than 95% of that year's launches.
In plain words
BrowserOS is an open-source AI browser that runs agent tasks entirely on the user's machine rather than on remote servers. It supports local language models or user-provided API keys, keeping sensitive company data private. The browser agent can read and write files and execute shell commands. It targets users and organizations concerned with data privacy who want an alternative to AI browsers from major labs.
written from the facts on this page · September 2026
From the sources
🌐 The open-source Agentic browser; alternative to ChatGPT Atlas, Perplexity Comet, Dia. - browseros-ai/BrowserOS
In the maker’s words, at launch
Hey HN! We're Nithin and Nikhil, twin brothers building BrowserOS (YC S24). We're an open-source, privacy-first alternative to the AI browsers from big labs. The big differentiator: on BrowserOS you can use local LLMs or BYOK and run the agent entirely on the client side, so your company/sensitive data stays on…
Does a similar job
all alternatives →
Open source alternative to Perplexity Comet2025 · browseros.com · ▲291Hey HN, we're a YC startup building an open-source, privacy-first alternative to Perplexity Comet. No invite system unlike bunch of others – you can download it today from our website or GitHub: https://github.com/browseros-ai/BrowserOS --- Why bother building an alternative? We believe browsers will become the new operating systems, where we offload much bunch of our work to AI agents. But these agents will have access to all your sensitive data – emails, docs, on top of your browser history. Open-source, privacy-first alternatives need to exist. We're not a search or ad…
A web browser agent in your Chrome side panel2025 · github.com · ▲153Hey HN, I'm excited to share BrowserBee, a privacy-first AI assistant in your browser that allows you to run and automate tasks using your LLM of choice (currently supports Anthropic, OpenAI, Gemini, and Ollama). Short demo here: https://github.com/user-attachments/assets/209c7042-6d54-4fc... Inspired by projects like Browser Use and Playwright MCP, its main advantage is the browser extension form factor which makes it more convenient for day to day use, especially for less technical users. Its also a bit less cumbersome to use on websites that require you to be…
We packaged an MCP server inside Chromium2025 · github.com · ▲46Hey HN, we just shipped a browser with an inbuilt MCP server! We're a YC startup (S24) building BrowserOS — an open‑source Chromium fork. We're a privacy‑first alternative to the new wave of AI browsers like Dia, Perplexity Comet. Since launching ~3 months ago, the #1 request has been to expose our browser as an MCP server. -- Google beat us to launch with chrome-devtools-mcp (solid product btw), which lets you build/debug web apps by connecting Chrome to coding assistants. But we wanted to take this a step further: we packaged the MCP server directly into our browser binary. That gives…
BrowserAI – Run LLMs directly in browser using WebGPU (open source)2025 · github.com · ▲85Check out this impressive project that enables running LLMs entirely in the browser using WebGPU. Key features: - Zero token costs, no cloud infrastructure required - Complete data privacy through local processing - Simple 3-line code integration - Built on MLC and Transformer.js The benchmarks show smaller models can effectively handle many common tasks. Currently the project roadmap includes: - No-code AI pipeline builder - Browser-based RAG for document chat - Analytics/logging - Model fine-tuning interface

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