Anti-detection browser server for AI agents with C++ engine-level fingerprint spoofing.
camofox-browser is worth checking the docs before setup with strong trust signals. Check agent compatibility and use-case fit before adding it to your workflow.
gh repo view redf0x1/camofox-browser --webOpen the official repository or website.
Check the README for package manager, auth, and platform requirements.
Try it in a small test task inside your agent workflow.
Repository setup guidance
Strong trust signals; still review the README and permissions before production use.
Last commit was about 108 days ago.
247 GitHub stars indicate community interest.
1 open issues signal maintenance load.
kubewall - Single-Binary Kubernetes Dashboard with Multi-Cluster Management & AI Integration. (OpenAI / Claude 4 / Gemini / DeepSeek / OpenRouter / Ollama / Qwen / LMStudio)
Browser automation CLI built for AI agents — breaks anti-bot walls, supports multi-session parallel execution.
Framework for building agents that run in the browser, built for Angular and React.
CamoFox Browser Server is a tool that lets AI agents control a stealthy web browser. It uses a modified Firefox engine to avoid detection by anti-bot systems, making it ideal for web scraping and automation. It provides a simple REST API so any programming language or AI agent can use it.
CamoFox Browser Server is a TypeScript REST API that wraps the Camoufox stealth browser engine, providing anti-detection capabilities at the C++ engine level rather than through fragile JavaScript patches. It offers multi-session management with isolated browser contexts per user, persistent browser profiles, geo presets, session-level proxy/geo overrides, 14 search macros, element references for precise interaction, cookie persistence, and OpenClaw plugin support. Designed for AI agents, it includes MCP compatibility, structured extract, snapshot pagination, and image listing. The server is Docker-ready and supports concurrent sessions with configurable limits.
Anti-detection browser server for AI agents with C++ engine-level fingerprint spoofing.
AI agent developers needing stealth browsing, Web scraping engineers requiring robust anti-detection, Automation engineers building resilient browser bots
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
May violate website terms of service if used for unauthorized scraping Potential for misuse in automated attacks or credential stuffing
Similar or complementary options to evaluate include kubewall, Browser Act Skills, hashbrown.
Aug 20, 2026
MIT license detected.
3 security/trust notes recorded.
Setup difficulty is 3/5.
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MIT
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