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browseros-ai/BrowserOS is tracked as a TypeScript project in the AI Agent, LLM Tool area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.
Momentum check: the repository has 12k total stars, with +47 today, +0 this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.
Maintenance check: current activity is Active; the latest push was 0 days ago, and the open issue queue is 51, about 0.41% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.
Adoption check: 1.3k forks and 12k watchers suggest how often the project is reused or followed. License signal: AGPL-3.0. Always verify license compatibility before commercial or internal use.
Practical fit: this project is most relevant when you need AI prototypes, LLM workflows, and agent-style applications. Be cautious when you need a legal review, security audit, or production SLA.
Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 47. Follow the original GitHub repository for final install, security, and release information.
Momentum
12k Stars
Reuse
1.3k Forks
Attention
12k Watchers
Maintenance
active
License
AGPL-3.0
Open issues
51
BrowserOS is an open-source Chromium fork with a built-in AI agent, offering a privacy-first alternative to cloud-based AI browsers. It includes BrowserClaw, a browser for AI agents that allows them to use your logged-in accounts to automate tasks.
Key Features
- Built-in AI agent in every new tab with 53+ browser tools and 40+ app integrations. - BrowserClaw allows AI agents (Claude Code, Codex, Cursor, etc.) to drive the browser using your logged-in accounts. - Local-only operation with sessions, screenshots, and history stored on your machine, never leaving your device.
AI Agent
Agent frameworks, autonomous workflows, and tool-use systems
LLM Tool
Libraries and tools for LLM apps, RAG, prompts, and evals
Download from https://files.browseros.com/download/BrowserOS.dmg (macOS), .exe (Windows), .AppImage (Linux), or .deb (Debian).90
Health Score
Active
Commit Activity
May 18, 2025
Created
Jul 21, 2026
Last push
+0
Today's growth
+0
7-day growth
+0
30-day growth
Forks
Open
Watchers
browseros-ai
GitHub profilecodecrafters-io/build-your-own-x
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freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.
public-apis/public-apis
A collective list of free APIs
EbookFoundation/free-programming-books
:books: Freely available programming books
✓
License
✓
Forked
✓ Active
Maintained
Problem Solved
BrowserOS solves the problem of AI agents being unable to interact with web services that require authentication, by providing a browser where users sign into sites once and agents can then use those sessions. It also addresses privacy concerns by keeping all data local and allowing users to bring their own AI keys, unlike cloud-dependent alternatives.
Capabilities
Developers can build AI agents that automate real-world web tasks such as booking flights, downloading invoices, replying to emails, or managing calendars, all while the user watches live and replays sessions. The framework supports any MCP-compatible AI tool (Claude Code, Codex, Cursor, etc.) and provides a live dashboard for monitoring multiple agents simultaneously.
Bottom Line
BrowserOS is ideal for developers and power users who want a privacy-respecting, local-first AI browser that can automate authenticated web tasks. It is less suitable for those who prefer fully managed cloud solutions or do not want to manage their own AI API keys. The key trade-off is full control and privacy versus the convenience of a turnkey service.