[Proposal] HeartFlow - Cognitive Engine for Stable LM

[yun520-1]

Proposal: HeartFlow × Stable LM

Vision

Stable LM for generation. HeartFlow for judgment.

What is HeartFlow?

HeartFlow is an AI cognitive engine (68 modules) that gives models decision-making capability:

├── Three-Layer Memory    # CORE/LEARNED/EPHEMERAL
├── Decision Routing      # 34 rules → 8 strategies
├── U/D/A/H Field        # Cognitive health monitoring
├── Self-Healing RL      # Q-learning improvement
└── Shield Module        # Security guardrails

U/D/A/H Cognitive Framework

Real-time cognitive health monitoring:

H = 0.4·U + 0.3·D - 0.3·A

U (Unity): Identity consistency
D (Development): Logical progression
A (Adversity): Contradiction density
H (Harmony): Overall cognitive health

Benchmarks

Task	Baseline	+HeartFlow
Logical Reasoning	67%	100%
Decision Making	50%	100%
Self-Correction	None	Q-learning

Stability AI × HeartFlow

1. Safety: Shield module for responsible AI
2. Reliability: U/D/A/H cognitive metrics
3. Improvement: Q-learning self-improvement
4. Memory: Long-term context persistence

Links

• GitHub: https://github.com/yun520-1/mark-heartflow-skill

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HeartFlow v5.5.1 — Stable AI, Intelligent Decisions