🤖 Browser4

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Table of Contents

• 🤖 Browser4
  • 🌟 Introduction
    • ✨ Key Capabilities
  • Quick Start
  • DeepSeek Harness integration
  • 🧭 Tool Selection Guide
    • How to Interact with a Page
    • How to Extract Data
    • How to Process at Scale
    • How to Turn HTML into Spreadsheets — Zero LLM Tokens
  • 📦 Installation
  • 💡 CLI Guide for Humans
    • Quick start
    • Mental model
    • Global options
    • Key concepts before the command list
    • Complete command reference
    • Timeout environment variables
    • State persistence
  • 🚀 Build from Source
  • Architecture
  • 📦 Modules Overview
  • 🧩 Programming-Agent Kernel (browser4-coding)
  • 🧪 Test Fixture Server (MockSite)
  • 🤝 Support & Community
  • 📜 Documentation
  • 🔧 Proxy Configuration
  • License
  • Links

🌟 Introduction

💖 Browser4 — an AI-native browser engine for autonomous agents, intelligent extraction, and large-scale web automation. 💖

✨ Key Capabilities

• 🤖 Agent Browser — AI agents and humans drive real browsers via a Rust CLI, MCP, and an agentic backend: navigate, click, fill, snapshot, batch, and loop.
• 🧬 Zero-Token Extraction — X-SQL + CSS selectors for deterministic extraction from live pages or stored HTML snapshots; WebMiner ML clustering turns HTML corpora into spreadsheet and report views with no LLM tokens.
• 🧠 Hybrid Intelligence — Combine LLM extraction, ML clustering, X-SQL, and a progressive experience store that reuses learned selectors and blockers.
• ⚡ High-Performance Runtime — Coroutine-safe, CDP-native engine designed for 100k–200k complex page visits per machine per day via swarm/crawl scale-out.
• 📦 Enterprise-Scale Automation — Swarm crawling, batch/loop jobs, stateful sessions, plugins, runtime skills, browser extension, and an opt-in MCP-over-HTTP endpoint.
• 🛠️ Programming-Agent Kernel — 50+ coding.* tools (sandboxed shell/fs, scaffolding, validation, self-development) for agents building Browser4 artifacts — or Browser4 itself.

Quick Start

Paste the following instruction to your favorite AI agent like dsh, claude, codex, workbuddy or openclaw and run it:

Read https://browser4.io/SKILL.md, install or upgrade browser4-cli for browser automation, perform the following task:

1. Open the browser in headed mode (`open --headed`) so the window is visible — this is a human-facing demo
2. go to amazon.com
3. search for pens to draw on whiteboards
4. compare the first 4 ones
5. write the result to a markdown file

DeepSeek Harness integration

https://github.com/platonai/dsh-browser4

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