factory os

About this project

FactoryOS is a next-generation, autonomous Smart Manufacturing Control Center engineered for Industry 4.0. Built on top of the Model Context Protocol (MCP) and the NitroStack framework, FactoryOS connects real-time Internet of Things (IoT) physical floor telemetry to a collaborative, multi-agent AI decision-making engine. Traditional manufacturing plants operate in reactive survival mode: equipment breaks down unexpectedly, maintenance teams scramble to locate spare parts, plant managers manually make phone calls to suppliers to negotiate delivery lead times, and assembly lines sit idle for hours or days. This reactive paradigm costs global industry over $500 billion annually in unmanaged downtime, lost productivity, and supply chain inefficiencies. FactoryOS fundamentally transforms factory operations from reactive firefighting to proactive, self-healing autonomy. By continuously monitoring machine sensor metrics (temperature, vibration, rotational speed, torque, process temperature, and tool wear), FactoryOS utilizes a Scikit-Learn Random Forest Machine Learning model to predict hardware component failures days before they occur. When a risk or anomaly is detected, FactoryOS deploys a Supervisor Agent that orchestrates five domain-specialist AI agents (Maintenance, Inventory, Procurement, Production, and Safety). Operating over type-safe MCP tools, these agents autonomously coordinate to evaluate failure probabilities, verify safety stock thresholds, negotiate expedited component orders with external vendor networks, reroute manufacturing job schedules to alternative assembly lines, and compile OSHA-compliant safety audit trails. By automating the complex multi-step triage process that previously required hours of manual human intervention, FactoryOS achieves up to a 92% reduction in downtime financial losses, preserving thousands of dollars per operational incident while guaranteeing strict worker safety and regulatory compliance.