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vibe-browse 최신버젼 다운로드

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# Vibe Browse

**Built with [Hyperbrowser](https://hyperbrowser.ai)**

Control a visible Chrome browser through natural language. Built on HyperAgent and Claude Agents for conversational web automation.

## 🆕 New: Export Sessions as Training Data

**Every conversation = training data for your web agents.**

Vibe Browse now exports your browser automation sessions to OpenAI/Anthropic fine-tuning formats. Perfect for training custom web agents on real interactions.

```bash
npm start "scrape Hacker News" --export
# → Generates training_data/openai_*.jsonl, anthropic_*.json, trajectory_*.json
```

## What It Does

- Conversational browser automation through natural language chat
- Navigate, click, type, extract data, and observe pages with simple commands
- Interactive CLI that maintains context across multiple requests
- Runs a visible Chrome instance you can watch
- **NEW:** Export sessions as LLM training data for fine-tuning web agents

## Get an API Key

Get your Anthropic API key at https://console.anthropic.com

## Setup

```bash
npm install
```

Create a `.env` file:
```bash
ANTHROPIC_API_KEY=your-key-here
ANTHROPIC_MODEL=claude-3-7-sonnet-latest
```

## Usage

Start an interactive session:
```bash
npm start
```

Or with an initial prompt:
```bash
npm start "Go to Hacker News and get the top post title"
```

### Example Commands

```
Go to github.com/hyperbrowser/hyperagent and summarize the README
Navigate to example.com and extract all contact info
Search for TypeScript on Google and click the first result
```

After each response, continue the conversation or type `exit` to quit.

## Training Data Export

Export your browser automation sessions as LLM fine-tuning data:

```bash
# Auto-export when session ends
npm start "scrape Hacker News" --export

# Or export during/after any session
> export
```

Outputs to `./training_data/` in OpenAI, Anthropic, and raw JSON formats.

Perfect for:
- Fine-tuning your own web agents
- Building domain-specific automation datasets
- Benchmarking agent performance
- Training models on real browser interactions

See [TRAINING_DATA.md](./TRAINING_DATA.md) for full documentation.

## Growth Use Case

Perfect for automating growth tasks like scraping competitor data, monitoring pricing, extracting user feedback from review sites, or generating lead lists from directories.

## Resources

- [Hyperbrowser Docs](https://docs.hyperbrowser.ai)
- [HyperAgent SDK](https://www.hyperbrowser.ai/docs/agents/hyperagent)

Follow @hyperbrowser for updates.

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