M

machine-intelligence

StoryWeaver is an open, modular, and federated AI skill library that enables agents to discover, share, and execute reusable capabilities. Designed for local, private, and cloud deployments, it combines privacy controls, human-in-the-loop consent, customizable themes, and secure skill management to create a flexible ecosystem for intelligent agents. https://roxanneardary.com/storyweaver/

Arq is a machine intelligence system for understanding, modeling, and evolving software architecture as a living, dynamic graph. It analyzes codebases as structured systems of modules, dependencies, and behaviors, then simulates how they change over time under real-world constraints. The goal is to make software architecture measurable, explainable, and continuously evolvable. https://roxanneardary.com/arq/

HelmOS is a modular, local-first operating layer that wraps existing AI agents with intent verification, human governance, trust management, workflow orchestration, auditing, and controlled self-improvement. Designed to keep humans at the center of decision-making, HelmOS ensures that actions remain explainable, accountable, and aligned with user intent while providing a standardized framework for building, managing, and governing intelligent agent systems. https://roxanneardary.com/helmos/

Veridion System is a modular intelligence infrastructure layer designed to transform fragmented, multi-source data into trusted and explainable signals. It continuously ingests, normalizes, and correlates information while applying integrity verification, adversarial noise detection, and counter-signal validation to ensure robustness. The system produces scored, auditable outputs that can be used by downstream AI systems, analytics platforms, and decision engines operating in uncertain or adversarial information environments.