Scholargraph

{ "name": "ScholarGraph", "description": "An AI-powered toolkit that transforms academic literature into interactive knowledge graphs, enabling researchers to discover connections, track scholarly progress, and visualize research landscapes.", "version": "1.0.0" }

ScholarGraph

ScholarGraph is an intelligent academic research assistant that helps you:

• Discover relevant papers through semantic literature search
• Extract key insights from full-text PDFs and abstracts
• Map knowledge relationships via dynamic knowledge graphs
• Track research trends with automated progress monitoring
• Identify gaps in existing literature using concept analysis

Components

• literature-search: Finds papers across arXiv, PubMed, and Semantic Scholar
• paper-analyzer: Extracts claims, methods, and citations from PDFs
• knowledge-graph: Builds interactive networks of concepts and papers
• progress-tracker: Monitors new publications in your field
• concept-learner: Identifies emerging topics and research gaps

Requirements

• Python 3.9+
• Node.js 18+
• API keys for Semantic Scholar/arXiv (optional but recommended)