https://github.com/kynlos/arxer
A comprehensive research tool that combines ArXiv paper browsing with AI-powered assistance for academics, researchers, and students
https://github.com/kynlos/arxer
ai ampcode arxiv bibtex research
Last synced: 8 months ago
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A comprehensive research tool that combines ArXiv paper browsing with AI-powered assistance for academics, researchers, and students
- Host: GitHub
- URL: https://github.com/kynlos/arxer
- Owner: Kynlos
- Created: 2025-05-02T14:54:09.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-05-02T23:12:36.000Z (11 months ago)
- Last Synced: 2025-07-17T07:18:10.765Z (9 months ago)
- Topics: ai, ampcode, arxiv, bibtex, research
- Language: PHP
- Homepage:
- Size: 167 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Arxer - AI-Powered ArXiv Research Assistant
Arxer is a comprehensive research tool that combines ArXiv paper browsing with AI-powered assistance for academics, researchers, and students. It helps users discover, understand, and manage scientific papers with advanced search capabilities and AI explanations.
## Features
### Paper Search and Discovery
- **Advanced ArXiv Search**: Search papers by title, author, abstract, or full text
- **Category Filtering**: Browse papers by specific ArXiv categories
- **Date Filtering**: Filter papers by publication date with syntax like `date>2020` or `date<2022`
- **Quote Support**: Search for exact phrases using quotation marks
- **Sort Options**: Sort papers by relevance, date, or citation count
- **Mobile-Responsive Interface**: Access on any device
### AI-Powered Features
- **Research Chat**: Ask questions about papers and get AI-generated answers
- **AI Tutor**: Learn concepts through guided Socratic dialogue rather than just getting answers
- **Paper Explainer**: Generate detailed explanations of papers including:
- Key concepts breakdown
- Methodology explanation
- Research significance
- Related areas identification
- **Paper Recommendations**: Get AI-suggested similar papers based on your interests
- **Knowledge Graph**: Visualize relationships between papers and research concepts
- **LaTeX Support**: Render mathematical equations in explanations
### Content Management
- **Favorites System**: Save papers for later reading
- **Collections**: Organize papers into custom collections
- **Citation Management**: Format citations in various academic styles
- **Reading History**: Track which papers you've viewed
### AI Provider Options
- **Local LM Studio**: Use local LLMs for privacy and offline access
- **OpenAI Integration**: Leverage OpenAI models for powerful analysis
- **Configurable Parameters**: Adjust model, temperature, and token settings
## Configuration
### AI Provider Configuration
The system supports multiple AI providers with customizable settings in `ai_config.json`:
```json
{
"default_provider": "local_lmstudio",
"providers": {
"local_lmstudio": {
"endpoint": "http://localhost:1234/v1",
"model": "local-model",
"temperature": 0.7,
"max_tokens": 4000
},
"openai": {
"api_key": "YOUR_API_KEY",
"model": "gpt-3.5-turbo",
"temperature": 0.7,
"max_tokens": 4000
}
}
}
```
### Search Configuration
Customize search behavior including:
- Default categories
- Result count per page
- Sort order preferences
- Category display options
### User Preferences
Arxer stores user preferences in:
- `.arxer_history.json`: Reading history
- `.arxer_favorites.json`: Saved papers and collections
## Requirements
- PHP 7.4 or higher
- Web server (Apache/Nginx)
- API keys for chosen AI providers
- Internet connection for ArXiv access
## Setup
1. Place files in web server directory
2. Configure AI providers in `ai_config.json`
3. Adjust default settings as needed
4. Access through web browser
## Usage Tips
- Use specific search terms for better results
- Save interesting papers to collections
- Use the knowledge graph to discover related research
- Leverage the AI explainer for complex papers
- Try different AI providers for varied explanations
## Privacy Note
When using OpenAI or other cloud providers, paper content is sent to external APIs. For maximum privacy, configure the local LM Studio option.