Nexis Signal Engine
Author: Jonathan Harrison (a.k.a. Raiff1982)
License: MIT
Version: 1.0.0
Repository: GitHub
Hugging Face Space: nexus-signal-engine
π 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).
π§ Key Features
- π§ Ethical Risk Scoring: Uses configurable fuzzy-matched terms to detect intent, corruption risk, and ethical misalignment.
- π Perspective Agents: Includes Colleen (vector), Luke (entropy), and Kellyanne (harmonics) to simulate multi-agent cognition.
- π Integrity-Sealed Memory: SQLite + FTS5 + per-record salted SHA-256 integrity checks + rotation + pruning.
- π Resonance Equation: Applies FFT over alphabetic patterns to derive harmonic volatility.
- π‘οΈ Adaptive Intervention: Flags and reframes high-risk signals in real-time.
- π Built-In Metrics: Tracks average processing time and internal error rates.
- π§ͺ Comprehensive Unit Tests: >30 robust tests for edge cases, adversarial tokens, and DB state.
π Installation
To install locally:
pip install .
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