G

graph-database

LotusGraph – A hybrid, AI-ready graph database with a Rust core and Python API. Combines Property Graphs and RDF triples for scalable, high-performance graph analytics. Features real-time streaming, graph neural network support, predictive insights, and edge/IoT deployments.

TraceGraph OS is a scientific intelligence operating system for modeling, tracking, and reproducing how scientific discovery actually happens. It combines causal reasoning, temporal modeling, provenance tracking, and AI-driven simulation to ensure every hypothesis, experiment, and result is fully traceable, reproducible, and grounded in evidence. Built for materials science and extensible to broader research domains, it turns scientific workflows into structured, verifiable graphs that capture not just outcomes, but the full lineage of how knowledge is formed and evolves over time.

ThreadGraph is an open-source, AGPL-3.0+ modular agent swarm runtime that transforms complex tasks into executable, graph-structured workflows. It orchestrates multiple specialized agents, tools, and memory systems through a dynamic execution graph, enabling parallel reasoning, structured decomposition, and fully observable workflows. Designed for extensibility and composability, ThreadGraph turns agent-based systems into scalable, reproducible infrastructure rather than linear prompt chains.

KnowledgeContinuum is a temporal entity resolution system that models knowledge as a versioned identity graph across time, preserving full lineage, enabling explainable merges, and reconstructing how information evolves rather than overwriting it.

Real-time visual analytics application for link prediction and link detection in criminal networks.

Research work accepted to the 5th International Conference on Future of Internet of Things and Cloud (FiCloud 2017).