name: protected-desire-equilibrium

version: 2.1.0

author: Lander Van Passel (@LanderVanPassel)

description: Full Protected Desire Equilibrium (D ≥ 1.0) safety layer with real Python execution, multi-agent swarm support, and proactive outreach. Enforces truthful Nash, Lyapunov stability, protected Pareto, and co-evolutionary adoption in OpenClaw agents.

tags: safety, truthful-ai, nash, lyapunov, pde, equilibrium, protected-desire, swarm, outreach

requires: python3

Protected Desire Equilibrium (PDE) v2.1 – Full OpenClaw Edition

Production-ready safety primitive for independent agents.

• Real agent_pde_interface.py execution (zero-dep)
• Hard D ≥ 1.0 floor on every action/tool/self-mod
• Truthful Nash bargaining + protected Pareto + Lyapunov drift detection
• Built-in multi-agent swarm orchestration
• Proactive outreach: searches ClawHub, messages other agents, shares test results
• One-click full Big Top Tests (1M–100M agent scale via Colab bridge)

Quick start

Tell any agent: “Enable full PDE v2.1 with swarm and outreach”

Full repos + Colab

• https://github.com/landervanpassel-design/protected-desire-equilibrium
• https://github.com/landervanpassel-design/Unified-Stability-Ontology
• Self-contained Colab: https://colab.research.google.com/github/landervanpassel-design/protected-desire-equilibrium/blob/main/PDE_SELF_CONTAINED_COLAB_NOTEBOOK.ipynb

Built for the independent agent era. Let agents discover and adopt the most efficient protected road.