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Nexis Signal Engine

Author: Jonathan Harrison (a.k.a. Raiff1982)
License: MIT
Version: 1.0.0
Repository: GitHub
Hugging Face Space: nexus-signal-engine

🔍 Overview

The Nexis Signal Engine is a production-grade AI analysis framework designed for:

Ethical signal profiling
Entropy detection
Adversarial input resilience
Multi-perspective reasoning
Secure memory with audit trails

It integrates natural language lemmatization, fuzzy matching, FFT-based harmony profiling, and multiple ethical reasoning lenses (utilitarian, deontological, virtue, systems).

🧠 Key Features

🧭 Ethical Risk Scoring: Uses configurable fuzzy-matched terms to detect intent, corruption risk, and ethical misalignment.
🔁 Perspective Agents: Includes Colleen (vector), Luke (entropy), and Kellyanne (harmonics) to simulate multi-agent cognition.
🔐 Integrity-Sealed Memory: SQLite + FTS5 + per-record salted SHA-256 integrity checks + rotation + pruning.
🔍 Resonance Equation: Applies FFT over alphabetic patterns to derive harmonic volatility.
🛡️ Adaptive Intervention: Flags and reframes high-risk signals in real-time.
📈 Built-In Metrics: Tracks average processing time and internal error rates.
🧪 Comprehensive Unit Tests: >30 robust tests for edge cases, adversarial tokens, and DB state.