Open Arsenal

Understanding economic systems through simulation, not assumption.

The Distributed Economic Governance System (DEGS) is a modular, open-source AGPL 3.0+ platform designed to analyze, simulate, and improve the structure of economic and organizational systems. It treats businesses and institutions as dynamic networks of decisions, dependencies, ownership relationships, and liabilities rather than static legal entities. By modeling these systems as interconnected graphs, DEGS provides a way to understand how risk, responsibility, and value flow through real-world economic structures.

At its core, the system focuses on transforming how economic analysis is performed: moving from assumption-based reasoning to simulation-based modeling. Instead of treating business outcomes as fixed projections, DEGS allows users to simulate structural behavior under different conditions such as regulatory changes, supply chain disruption, financial stress, or governance failures. This enables a more realistic understanding of resilience, fragility, and long-term sustainability.

One of its central feature sets is the Liability Intelligence Layer, which maps legal, financial, and operational exposure across jurisdictions and organizational structures. This includes corporate veil risk modeling, regulatory exposure tracking, tax liability analysis, and fraud vector detection. Complementing this is the Legal Reality Layer, which translates abstract risk into jurisdiction-specific legal context by analyzing statutes, case law, and enforcement probability patterns.

The system also includes a Human Accountability framework that maps decision chains, responsibility attribution, and competency structures within organizations. This allows users to identify where accountability is concentrated, obscured, or diffused, and how governance decisions propagate through an organization. Alongside this is the Ownership Transformation module, which models transitions from traditional corporate structures toward more transparent, cooperative, or member-based governance systems.

DEGS is further strengthened by its Dependency Collapse Early Warning System, which detects weak signals in revenue stability, supply chain integrity, labor dynamics, and regulatory pressure. This system is designed to identify structural fragility before it becomes systemic failure, enabling proactive restructuring rather than reactive correction.

Supporting all of these is an AI Governance and Simulation layer, which uses multi-agent reasoning and scenario modeling to evaluate outcomes across economic, ethical, and operational dimensions. This includes stress testing, counterfactual simulation, and long-term sustainability forecasting. Together, these systems form a unified infrastructure for understanding, modeling, and improving the real-world behavior of economic systems with transparency and accountability at their core.