Employs a graph-based AI reasoning framework to enhance scientific research.
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Adaptive Graph of Thoughts is an AI reasoning framework designed for scientific research, leveraging a Neo4j graph database and the Model Context Protocol (MCP) to integrate with AI applications like Claude Desktop. It provides an Advanced Scientific Reasoning Graph-of-Thoughts (ASR-GoT) framework designed for complex research tasks, enabling dynamic confidence scoring with multi-dimensional evaluations, modular design for extensibility, and easy deployment through Docker.
Key Features
01Built with modern Python and FastAPI
02Dockerized for easy deployment
03Dynamic confidence scoring with multi-dimensional evaluations
04Integration with Claude Desktop via MCP protocol
05Graph-based reasoning for complex scientific queries
061 GitHub stars
Use Cases
01Processing complex scientific queries
02Developing sophisticated scientific reasoning systems
03Integrating with AI applications like Claude Desktop
