Multi-Agent System Consensus

소개

The consensus skill provides a robust framework for managing agreement protocols in multi-agent systems, grounded in dynamical systems theory and triadic logic. It enables Claude to analyze phase space, identify equilibria, and manage long-term qualitative behavior in complex flows on manifolds. By leveraging concepts from AlgebraicDynamics.jl and GF(3) conservation, it ensures stable and non-backtracking geodesic traversals for resource-sharing machines and compositional systems, making it ideal for high-level modeling of decentralized networks and complex AI behaviors.

주요 기능

• Multi-agent agreement protocol modeling and analysis
• Algebraic dynamics integration for compositional systems
• 2 GitHub stars
• GF(3) triadic logic conservation for consistent state management
• Dynamical systems behavior tracking (bifurcations, stability, and equilibria)
• Möbius-filtered non-backtracking geodesic traversal for path optimization

사용 사례

• Implementing resource-sharing machines using category-theoretic frameworks
• Modeling convergence behavior in decentralized autonomous agent networks
• Analyzing stability and robust equilibrium in complex dynamical flows