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scientific-discovery

Cognitive exoskeleton for AI agents and human researchers — by Cognitive Functors. Turn questions into verified constructive & destructive insights: breakthrough scientific-engineering hypotheses checked across 47 literature sources, 38 simulation bridges, and 9 formal verifiers — then gated proposals, dissertations, BibTeX, and proofs you can publish. Not a chatbot — a research pipeline. pip install c4reqber · blast solve · Z₃³ · 21 MCP · AGPL-3.0.

MolecularAI is a modular AGPL-3.0+ platform for molecular intelligence, gene therapy research, nanotechnology, digital twins, autonomous scientific discovery, advanced simulation, and molecular design. Built as an extensible ecosystem, it provides researchers, engineers, and developers with open-source tools to accelerate innovation from hypothesis to breakthrough across biology, medicine, manufacturing, environmental systems, and future molecular technologies. https://roxanneardary.com/molecularai/

The Uncertain Machine is an open-source, AI-powered scientific simulation platform where players learn by interacting directly with dynamic models of reality. Instead of memorizing facts, users explore physics, biology, chemistry, and complex systems through experimentation, curiosity, and play. Built for all ages and skill levels, it adapts explanations in real time, turning every interaction into a discoverable, replayable learning experience where science is something you do, not something you read. https://roxanneardary.com/the-uncertain-machine/

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. https://roxanneardary.com/tracegraph-os/

OmniScientia is a modular AI framework for scientific discovery that helps learners explore the natural world through curiosity, experimentation, and verified evidence. It combines adaptive AI tutoring, safe laboratory experiences, virtual experiment simulations, scientific source verification, and interdisciplinary learning across biology, chemistry, physics, Earth sciences, veterinary science, astronomy, and beyond. https://roxanneardary.com/omniscientia/