AI IDE for Paper Reading

Acerca de

This local, AI-powered IDE assists researchers with scientific paper analysis by integrating advanced features for deep content understanding. Built on the Model Context Protocol (MCP), it processes local PDF documents to extract structured information, provides in-depth mathematical formula analysis with AST generation, automatically generates PyTorch code from research methods, and creates insightful visualizations. All computations run locally, enhancing privacy and allowing integration with local LLMs like Ollama for superior performance and comprehensive report generation.

Características Principales

• 2 GitHub stars
• Visualization of paper structures and variable dependencies using Mermaid charts
• Automatic PyTorch model definition and training script generation from paper methods
• Automated generation of detailed Markdown analysis reports with correctly rendered math formulas
• Intelligent summary and methodology extraction with local LLM integration
• Deep mathematical formula analysis, AST construction, and symbol definition storage

Casos de Uso

• Parsing mathematical formulas and storing their symbol definitions into a local database
• Generating PyTorch model code and extracting hyperparameters directly from a paper's methodology section
• Creating a comprehensive Markdown analysis report for a scientific paper, including summaries, visualizations, and code configurations