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.pyexecution (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.
