Metadata-Version: 2.4
Name: openatlas
Version: 1.0.3
Summary: An autonomous browser agent with web search and interactive browsing capabilities
Home-page: https://github.com/openatlas/openatlas
Author: Harish Santhanalakshmi Ganesan
Author-email: 
License: MIT
Project-URL: Homepage, https://github.com/openatlas/openatlas
Project-URL: Bug Reports, https://github.com/openatlas/openatlas/issues
Project-URL: Source, https://github.com/openatlas/openatlas
Keywords: ai,agent,browser,automation,web-scraping,llm,claude,gpt,gemini
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: agno
Requires-Dist: ddgs
Requires-Dist: httpx
Requires-Dist: julia_browser
Requires-Dist: python-dotenv
Requires-Dist: anthropic
Requires-Dist: litellm
Requires-Dist: openai
Requires-Dist: google-genai
Requires-Dist: sqlalchemy
Dynamic: home-page
Dynamic: license-file
Dynamic: requires-python

# OpenAtlas Agent

An autonomous browser agent with web search and interactive browsing capabilities. OpenAtlas can search the web using DuckDuckGo, browse websites interactively, click elements, fill forms, and extract information.

> **Note**: This project requires Node.js support. Make sure you have Node.js installed on your system.

## Installation

```bash
pip3 install openatlas
```

## API Keys Setup

OpenAtlas requires an API key for your chosen LLM provider. Add one of the following to your environment:

### Anthropic (Claude)
```bash
export ANTHROPIC_API_KEY=your_key_here
```

### OpenAI (GPT)
```bash
export OPENAI_API_KEY=your_key_here
```

### Google (Gemini)
```bash
export GEMINI_API_KEY=your_key_here
```

### Any LLM supported by LiteLLM
OpenAtlas supports 100+ models from various providers including:
- OpenAI (GPT-4, GPT-3.5)
- Anthropic (Claude)
- Google (Gemini)
- Cohere
- Mistral AI
- And many more!

See [LiteLLM documentation](https://docs.litellm.ai/docs/) for the full list of supported models.

## Quick Start

```bash
# Start OpenAtlas Agent
openatlas

# Or run directly with Python
python cli.py

# Specify a model
python cli.py --model gpt-4o
```

## Usage

### Commands

All commands start with `/`:

- `/model` - Choose a different AI model
- `/status` - Show current session configuration
- `/clear` - Clear the screen
- `/help` - Show detailed help information
- `/quit` - Exit the CLI

### Example Tasks

**Web Search**
```
> What's happening in AI today?
> Search for Python 3.13 new features
> Find the latest news about SpaceX
```

**Website Browsing**
```
> Open https://news.ycombinator.com and list the top stories
> Browse to github.com and search for AI projects
> Go to wikipedia.org and find information about Mars
```

**Interactive Tasks**
```
> Open reddit.com/r/programming and show me the trending posts
> Search Google for "best restaurants near me"
> Navigate to amazon.com and search for wireless headphones
```

**Research Tasks**
```
> Research on multiple websites and find top whey protein brands in 2025
> Compare prices for MacBook Pro across different retailers
> Find reviews for the latest iPhone from tech websites
> Browse 5 different tech news sites and summarize today's biggest story
```

## Use Cases

### 🔬 Research & Information Gathering
- **Multi-source research**: Gather information from multiple websites simultaneously
- **Competitive analysis**: Research competitors' products, pricing, and strategies
- **Academic research**: Collect data and citations from various web sources
- **Product comparison**: Compare features, prices, and reviews across platforms

**Example:**
```
> Research on multiple websites and find top whey protein brands in 2025
```

### 📰 News & Updates
- **Breaking news monitoring**: Track news from multiple sources in real-time
- **Topic tracking**: Follow specific topics across different news outlets
- **Social media aggregation**: Gather trending discussions from social platforms
- **Industry trends**: Stay updated with the latest developments in your field

**Example:**
```
> Open https://news.ycombinator.com and list the top stories
> Check latest AI news from TechCrunch and The Verge
```

### 🛍️ Shopping & E-commerce
- **Product research**: Find and compare products across retailers
- **Price comparison**: Track prices across different e-commerce platforms
- **Review aggregation**: Collect and analyze product reviews
- **Availability checking**: Check stock across multiple stores

**Example:**
```
> Compare prices for iPhone 15 Pro on Amazon, Best Buy, and Apple Store
> Find the best-rated wireless earbuds under $100
```

### 💼 Business Intelligence
- **Competitor monitoring**: Track competitor websites and announcements
- **Market trend analysis**: Analyze market trends from multiple sources
- **Lead generation**: Find potential customers and partners online
- **Industry news tracking**: Monitor industry-specific news and updates

**Example:**
```
> Monitor tech startup funding announcements from TechCrunch this week
> Research top SaaS companies in the project management space
```

### 🎓 Learning & Education
- **Research for assignments**: Gather information for academic projects
- **Finding educational resources**: Discover tutorials, courses, and documentation
- **Staying updated**: Learn about latest developments in any field
- **Exploring topics**: Deep dive into subjects with guided research

**Example:**
```
> Find the official Python documentation and explain the new features in 3.13
> Research the history of artificial intelligence from multiple sources
```

### 🎯 Content Creation
- **Content research**: Gather information for articles and blog posts
- **Fact-checking**: Verify information across multiple sources
- **Trend analysis**: Identify trending topics and discussions
- **Source collection**: Compile references and citations

**Example:**
```
> Research the top 10 AI trends for 2025 from multiple tech blogs
> Find statistics about remote work adoption in 2024
```

## Supported Models

### Default Models
- **claude-sonnet-4-5** (Anthropic) - Default, best for complex tasks
- **gpt-4o** (OpenAI) - Excellent for general tasks
- **gemini-2.0-flash** (Google) - Fast and efficient

### Custom Models
Use any model supported by LiteLLM by selecting option 4 during model selection or using the `/model` command. This includes:
- gpt-4, gpt-3.5-turbo (OpenAI)
- claude-3-opus, claude-3-sonnet (Anthropic)
- gemini-pro, gemini-1.5-pro (Google)
- command-r-plus (Cohere)
- mistral-large (Mistral AI)
- And 100+ more models!

## License

MIT License

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

## Support

For issues, questions, or feature requests, please open an issue on GitHub.

---

**Made with ❤️ by Harish Santhanalakshmi Ganesan**
