ResearchTwin

About

ResearchTwin is an open-source, federated platform designed to overcome the 'discovery bottleneck' in scientific research caused by the exponential growth of scientific outputs. It transforms a researcher's multi-modal artifacts from sources like Semantic Scholar, Google Scholar, GitHub, and Figshare into an interactive Digital Twin. This system, built on a Bimodal Glial-Neural Optimization (BGNO) architecture, computes a real-time S-Index metric and offers a conversational chatbot interface. Crucially, it enables both human and AI agents to collaborate in accelerating scientific discovery through its inter-agentic discovery API with Schema.org types and a federated architecture supporting local nodes and hosted edges.

Key Features

• 1 GitHub stars
• Federated platform for integrating multi-modal research artifacts (publications, datasets, code)
• Real-time S-Index metric computation across all output types (Quality × Impact × Collaboration)
• Conversational chatbot interface for interactive research exploration
• Inter-Agentic Discovery API with Schema.org types for machine-to-machine research discovery
• Bimodal Glial-Neural Optimization (BGNO) architecture for data processing and RAG

Use Cases

• Researchers creating and managing conversational digital twins of their work for interactive exploration
• AI agents programmatically discovering and synthesizing research across a federated network
• Labs and institutions aggregating researcher profiles and fostering inter-agentic collaboration