CamoFox Browser Server

Anti-detection browser server for AI agents — TypeScript REST API wrapping the Camoufox stealth browser engine

Table of Contents

• Why CamoFox?
• Features
• Quick Start
• CLI
• Console Capture
• Playwright Tracing
• Security
• Usage with AI Agents
• Architecture
• API Reference
• Search Macros
• Geo Presets
• Environment Variables
• Deployment
• Used With
• Project Structure
• Contributing
• Credits
• License

Why CamoFox?

The Problem: Standard browser automation (Puppeteer, Playwright, Selenium) is easily detected by modern anti-bot systems. JavaScript-level patches are fragile and get bypassed quickly.

The Solution: CamoFox Browser Server wraps Camoufox, a Firefox fork with C++ engine-level fingerprint spoofing. No JavaScript injection — anti-detection happens at the browser engine level.

Features

• C++ Anti-Detection — fingerprint spoofing at the Camoufox engine level (not JS injection)
• REST API — language-agnostic HTTP endpoints for browser automation and AI agent integration
• Multi-Session — concurrent isolated browser contexts per userId (defaults: max 50 sessions, max 10 tabs/session)
• Persistent Browser Profiles — Each user gets a dedicated Firefox profile. Cookies, localStorage, IndexedDB, and all browser storage persist across sessions automatically.
• Geo Presets — 8 built-in region presets (locale/timezone/geolocation) + custom presets file
• 14 Search Macros — Google, YouTube, Amazon, Reddit (search + subreddit JSON), Wikipedia, Twitter, Yelp, Spotify, Netflix, LinkedIn, Instagram, TikTok, Twitch
• Element Refs — accessibility snapshots annotated with stable eN element references for precise interaction
• Cookie Persistence — import Netscape/Playwright-style cookies into a session (optional, gated by API key)
• OpenClaw Plugin — OpenClaw-compatible endpoints (/start, /tabs/open, /act, etc.)
• TypeScript — strict mode, typed request shapes, modular Express routes
• YouTube Transcript Extraction — yt-dlp primary pipeline with browser fallback
• Snapshot Pagination — offset-based windowing for large page snapshots
• Browser Health Monitoring — health probe with recovery/degraded state tracking
• 🖥️ CLI Mode — 50+ commands for terminal-based browser automation
• 🔐 Auth Vault — AES-256-GCM encrypted credential storage (LLM-safe)
• 📜 Pipeline Scripting — Execute command scripts from files
• 🔍 Console Capture — capture and filter browser console messages and uncaught errors
• 📼 Playwright Tracing — record and export Playwright traces for debugging

Quick Start

From Source

git clone https://github.com/redf0x1/camofox-browser.git
cd camofox-browser
npm install
npm run build
npm start

Using npm (CLI)

npm install -g camofox-browser

# Start the server
camofox-browser

# Or use the CLI for browser automation
camofox open https://example.com
camofox snapshot
camofox click e5

See CLI for the complete command reference.

Using Docker

Docker image: ghcr.io/redf0x1/camofox-browser

docker build -t camofox-browser .
docker run -d \
  --name camofox-browser \
  -p 9377:9377 \
  -p 6080:6080 \
  -v ~/.camofox:/home/node/.camofox \
  camofox-browser

To persist browser profiles (cookies, localStorage, IndexedDB, etc.) across container restarts, keep the volume mount shown above.

Using Docker Compose

services:
  camofox-browser:
    build: .
    ports:
      - "9377:9377"
    environment:
      CAMOFOX_PORT: "9377"
      # Optional auth gates
      # CAMOFOX_API_KEY: "change-me"
      # CAMOFOX_ADMIN_KEY: "change-me"
      # Optional: proxy routing (also enables Camoufox geoip mode)
      # PROXY_HOST: ""
      # PROXY_PORT: ""
      # PROXY_USERNAME: ""
      # PROXY_PASSWORD: ""

Verify

curl http://localhost:9377/health
# {"ok":true,"engine":"camoufox","browserConnected":true}

CLI

CamoFox Browser includes a powerful CLI for browser automation directly from the terminal. The CLI auto-starts the server when needed.

Installation

# Global install (recommended)
npm install -g camofox-browser

# Or use npx (no install needed)
npx camofox open https://example.com

Quick Start

camofox open https://example.com       # Open a page in anti-detection browser
camofox snapshot                       # Get accessibility tree with element refs
camofox click e5                       # Click element [e5]
camofox type e3 "hello world"         # Type into element [e3]
camofox screenshot --output page.png   # Save screenshot
camofox close                          # Close the tab

Core Commands

# Browser lifecycle
camofox open <url>                     # Open URL in new tab
camofox close [tabId]                  # Close tab
camofox navigate <url>                 # Navigate current tab to URL

# Inspection
camofox snapshot                       # Get accessibility tree with [eN] refs
camofox screenshot [--output file]     # Take screenshot (saves to file)
camofox annotate                       # Screenshot + element ref overlay
camofox get-url                        # Get current page URL
camofox get-text                       # Get page text content
camofox get-links                      # Get all links on page
camofox get-tabs                       # List open tabs

# Interaction
camofox click <ref>                    # Click element by ref
camofox type <ref> <text>              # Type text into element
camofox fill '[e1]="user" [e2]="pw"'  # Fill multiple fields at once
camofox scroll <direction>             # Scroll up/down/left/right
camofox select <ref> <value>           # Select dropdown option
camofox hover <ref>                    # Hover over element
camofox press <key>                    # Press keyboard key
camofox drag <from> <to>               # Drag element to target

# Navigation
camofox go-back                        # Browser back
camofox go-forward                     # Browser forward
camofox search "query" --engine google # Search (14 engines supported)
camofox eval "document.title"          # Execute JavaScript
camofox wait <selector> [--timeout ms] # Wait for element

Text input: CamoFox has no character limit for typed or filled text. Short text stays humanized for anti-detection, while long text automatically switches to bulk DOM insertion so large inputs do not truncate.

Session Management

camofox session save <name>            # Save current browser state
camofox session load <name>            # Restore browser state
camofox session list                   # List saved sessions
camofox session delete <name>          # Delete saved session

Cookie Management

camofox cookie export <file>           # Export cookies to JSON file
camofox cookie import <file>           # Import cookies from JSON file

Auth Vault

Securely store credentials locally with AES-256-GCM encryption. Credentials are never output to stdout — safe for LLM agent automation.

camofox auth save <profile> [--url URL]  # Save credentials (prompts for master password)
camofox auth load <profile>              # Show profile info (username only)
camofox auth list                        # List saved profiles (no secrets shown)
camofox auth delete <profile>            # Delete a profile
camofox auth change-password <profile>   # Change master password

# Inject credentials into a browser tab (LLM-safe)
camofox snapshot                         # Get element refs first
camofox auth load gmail --inject --username-ref e5 --password-ref e12

Security: Master passwords use Argon2id KDF (with PBKDF2 fallback). Vault files are stored with 0600 permissions. The --inject flag sends credentials directly to the browser — the LLM agent never sees the password.

Pipeline Scripting

Execute multiple commands from a file for automation workflows:

# Create a script
cat > login-flow.txt << 'EOF'
# Login automation script
open https://example.com/login
snapshot
type e3 "username"
type e5 "password"
click e7
wait .dashboard --timeout 5000
screenshot --output result.png
close
EOF

# Run it
camofox run login-flow.txt

# Continue on errors
camofox run login-flow.txt --continue-on-error

# Read from stdin
echo "get-url" | camofox run -

Server Management

camofox server start                   # Start server daemon
camofox server start --background      # Start in background
camofox server stop                    # Stop server daemon
camofox server status                  # Check server status

Diagnostics

camofox health                         # System health report
camofox version                        # CLI + server version
camofox info                           # Configuration info

Console Capture

camofox console [tabId]                  # View console messages
camofox console [tabId] --type error     # Filter by type (log/warning/error/info/debug)
camofox console [tabId] --clear          # View then clear messages
camofox errors [tabId]                   # View uncaught JavaScript errors
camofox errors [tabId] --clear           # View then clear errors

Playwright Tracing

camofox trace start [tabId]              # Start recording trace
camofox trace stop [tabId] [-o file.zip] # Stop and save trace ZIP
camofox trace chunk-start [tabId]        # Start new trace chunk
camofox trace chunk-stop [tabId] [-o f]  # Stop chunk and save ZIP
camofox trace status [tabId]             # Check active trace status

View traces at trace.playwright.dev

Global Options

Output Formats

camofox get-url --format json          # {"url":"https://example.com"}
camofox get-url --format text          # URL: https://example.com
camofox get-url --format plain         # https://example.com

Tip: Use --format json for programmatic parsing and LLM agent integration.

Security

Anti-Detection

CamoFox uses Camoufox, a Firefox fork with C++ level fingerprint spoofing. Unlike Chromium-based tools, CamoFox passes bot detection on Google, Cloudflare, and other anti-bot services.

Auth Vault

• AES-256-GCM encryption with Argon2id key derivation (PBKDF2 fallback)
• Credentials never appear in stdout (safe for LLM agent pipelines)
• Vault files stored with 0600 permissions
• Master password required for all vault operations

LLM Agent Safety

• The --inject flag sends credentials directly to the browser — the LLM agent orchestrating the CLI never sees raw passwords
• Output formats are designed for safe parsing without credential exposure
• Pipeline scripts can reference auth profiles without embedding secrets

Usage with AI Agents

CamoFox works seamlessly with AI coding agents and LLM-powered automation:

AI Coding Assistants (Recommended)

Add CamoFox skills to your AI coding assistant for full browser automation context:

npx skills add redf0x1/camofox-browser

This works with Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, Goose, OpenCode, Windsurf, and 40+ other agents.

Available skills:

The installer will prompt you to choose which skills and which agents to configure.

Claude Code

npx skills add redf0x1/camofox-browser
# Installs to .claude/skills/camofox-browser/SKILL.md

Cursor / GitHub Copilot / Codex

npx skills add redf0x1/camofox-browser
# Installs to .agents/skills/ directory

Tip: Skills are symlinked from the repo, so they stay up to date. Do not manually copy SKILL.md files.

MCP Integration (Recommended)

Use CamoFox MCP for direct integration with Claude, Cursor, Windsurf, and other MCP-compatible agents. See Used With.

CLI Integration

AI agents can use the CLI with --format json for structured output:

camofox open https://example.com       # Open page
camofox snapshot --format json         # Get structured element tree
camofox click e5                       # Interact with elements
camofox auth load gmail --inject --username-ref e5 --password-ref e12  # Safe credential injection

Pipeline Automation

Create reusable automation scripts that AI agents can execute:

camofox run automation-flow.txt        # Execute multi-step workflow

Architecture

AI Agent (MCP / OpenClaw / REST Client)
    │
    ▼ HTTP REST API (port 9377)
┌──────────────────────────────────────────┐
│          CamoFox Browser Server          │
│          (Express + TypeScript)          │
├──────────────────────────────────────────┤
│ Routes                 Services          │
│  ├── Core API           ├── Browser      │
│  └── OpenClaw compat    ├── Session      │
│                         └── Tab ops      │
├──────────────────────────────────────────┤
│        Camoufox Engine (anti-detect)     │
│   Firefox fork + engine-level spoofing   │
└──────────────────────────────────────────┘

Persistent Profiles (v1.3.0)

• Each userId runs in its own persistent Firefox process/context (backed by launchPersistentContext(userDataDir))
• Profile data is stored at ~/.camofox/profiles/{userId}/ (override via CAMOFOX_PROFILES_DIR)
• Idle user contexts are closed via LRU eviction (profile data remains on disk)

API Reference

Base URL: http://localhost:9377

Core Endpoints

Note: For any endpoint that targets an existing tab (/tabs/:tabId/...), the server resolves tabId within a userId scope. If you omit userId, you will typically get 404 Tab not found.

Toggle Display Mode

POST /sessions/:userId/toggle-display
{"headless": "virtual"}

Switch browser between headless and headed mode. When encountering CAPTCHAs or issues requiring visual interaction, switch to headed mode to show the browser window.

Returns:

{"ok": true, "headless": "virtual", "vncUrl": "http://localhost:6080/vnc.html?autoconnect=true&resize=scale&token=...", "message": "Browser visible via VNC", "userId": "agent1"}

Note: This restarts the browser context. All tabs are invalidated but cookies/auth state persist via the persistent profile.

Browser Viewer (noVNC)

When the display mode is set to "virtual" or false, the server automatically starts a VNC viewer accessible via web browser.

# 1. Switch to virtual mode
POST /sessions/:userId/toggle-display
{"headless": "virtual"}
# Response includes vncUrl — open in browser to see Firefox

# 2. Solve CAPTCHA or interact with the browser

# 3. Switch back to headless
POST /sessions/:userId/toggle-display
{"headless": true}
# VNC automatically stops

The VNC session auto-terminates after 2 minutes (configurable via CAMOFOX_VNC_TIMEOUT_MS).

Evaluate JavaScript

Execute a JavaScript expression in the page context and return the JSON-serializable result.

Auth: required only when CAMOFOX_API_KEY is set on the server; otherwise no auth is required.

Note: async expressions must be wrapped in an async IIFE (for example, (async () => { ... })()). Top-level await is not supported.

POST /tabs/:tabId/evaluate
{"userId": "agent1", "expression": "document.title"}

Returns: {"ok": true, "result": "Page Title", "resultType": "string", "truncated": false}

Evaluate JavaScript (Extended)

Execute a long-running JavaScript expression (up to 300s timeout). Conditionally API-key protected. Rate limited.

Auth: required only when CAMOFOX_API_KEY is set on the server; otherwise no auth is required.

Note: async expressions must be wrapped in an async IIFE (for example, (async () => { ... })()). Top-level await is not supported.

POST /tabs/:tabId/evaluate-extended
{"userId": "agent1", "expression": "(async () => { const response = await fetch('/api/data'); return await response.json(); })()", "timeout": 60000}

Returns: {"ok": true, "result": {...}, "resultType": "object", "truncated": false}

OpenClaw Endpoints

OpenClaw-compatible aliases (used by the OpenClaw plugin).

Search Macros

Use macros via POST /tabs/:tabId/navigate with { "macro": "@google_search", "query": "..." }.

Geo Presets

Built-in presets (also exposed via GET /presets):

Create a tab with a preset:

curl -X POST http://localhost:9377/tabs \
  -H 'Content-Type: application/json' \
  -d '{"userId":"agent1","sessionKey":"task1","preset":"japan","url":"https://example.com"}'

Custom presets: set CAMOFOX_PRESETS_FILE=/path/to/presets.json (JSON object; keys become preset names).

Environment Variables

Deployment

Docker (Recommended)

docker build -t camofox-browser .
docker run -p 9377:9377 -p 6080:6080 \
  -v ~/.camofox:/home/node/.camofox \
  -e CAMOFOX_PORT=9377 \
  camofox-browser

Fly.io

This repo includes a starter fly.toml for one-command deploys.

fly launch
fly deploy

Railway

• Create a new project → deploy from this GitHub repo
• Set CAMOFOX_PORT=9377 (Railway will also provide PORT, which is supported)
• Ensure the service exposes port 9377

Render

• Create a new Web Service → deploy from this GitHub repo
• Use Docker (recommended) and expose port 9377
• Set CAMOFOX_PORT=9377 (or rely on Render PORT)

System Requirements

• Node.js 20+
• 2GB+ RAM (browser + contexts require significant memory)
• Linux recommended for production; macOS is fine for development

Used With

Project Structure

src/
├── cli/
│   ├── commands/       # Command modules (core, navigation, interaction, etc.)
│   │   ├── console.ts   # Console capture commands
│   │   └── trace.ts     # Playwright tracing commands
│   ├── vault/          # Auth vault (encryption, storage)
│   ├── server/         # Server lifecycle management
│   ├── transport/      # HTTP transport layer
│   ├── output/         # Output formatting
│   └── utils/          # Shared utilities
├── server.ts           # Express app entry point
├── types.ts            # Shared TypeScript interfaces
├── routes/
│   ├── core.ts         # Core REST API (~42 endpoints)
│   └── openclaw.ts     # OpenClaw compatibility (~7 endpoints)
├── services/
│   ├── browser.ts      # Browser lifecycle + persistent context pool
│   ├── batch-downloader.ts # Batch download orchestrator
│   ├── context-pool.ts # Browser context pool with LRU eviction
│   ├── download.ts     # Download tracking service
│   ├── health.ts       # Browser health tracking
│   ├── resource-extractor.ts # Page resource extraction
│   ├── session.ts      # Session management + limits
│   ├── tab.ts          # Tab operations (snapshot/click/type/etc.)
│   ├── tracing.ts      # Playwright tracing service
│   ├── vnc.ts          # VNC/virtual display lifecycle
│   └── youtube.ts      # YouTube transcript extraction
├── middleware/
│   ├── auth.ts         # API/admin auth helpers
│   ├── errors.ts       # Error handling
│   ├── logging.ts      # Structured logging
│   └── rate-limit.ts   # In-memory rate limiter
└── utils/
  ├── config.ts       # Environment config parsing
  ├── cookies.ts      # Cookie utilities
  ├── download-helpers.ts # Download helper functions
  ├── launcher.ts     # Browser launcher utilities
  ├── macros.ts       # Search macro expansion
  ├── presets.ts      # Geo preset definitions/loader
  └── snapshot.ts     # Snapshot truncation/windowing

Contributing

See CONTRIBUTING.md

Credits

This project is based on camofox-browser by Jo Inc (YC W24) and the Camoufox anti-detection browser engine by daijro.

• Camoufox - Firefox-based browser with C++ anti-detection
• Donate to Camoufox's original creator daijro
• OpenClaw - Open-source AI agent framework

License

MIT

Crypto Scam Warning

Sketchy people are doing sketchy things with crypto tokens named "Camofox" now that this project is getting attention. Camofox is not a crypto project and will never be one. Any token, coin, or NFT using the Camofox name has nothing to do with us.