Agent Stability Framework

# Agent Stability Framework (ASF)

**Drift Prevention · Fault Catching · Soul Alignment**

Keep your AI agent stable, on-character, and self-correcting across sessions and over time.

## What This Solves

Three things kill agent reliability:

1. **Drift** — Agent gradually reverts to generic training defaults, losing personality
2. **Faults** — Agent produces broken output, hallucinates, contradicts itself, or fails silently
3. **Soul misalignment** — Agent technically works but doesn't feel right — lost its essence

ASF addresses all three with one integrated system.

## What You Get

- Complete framework documentation (AGENT_STABILITY_FRAMEWORK.md)
- File templates (SOUL.md, BASELINE_EXAMPLES.md, logs)
- System prompt additions ready to paste
- Detection checklists and scoring system
- Works on all models: Claude, GPT, Grok, Gemini, Llama, Mistral

## Quick Start

1. Copy all files to your agent's workspace
2. Fill out `SOUL.md` (who your agent IS)
3. Create `BASELINE_EXAMPLES.md` (10+ correct responses)
4. Add standing orders + pre-send gate to system prompt
5. Run first audit after 24 hours

**Setup time:** 45-90 minutes  
**Daily maintenance:** 5 minutes  
**Tested on:** 8+ models across all capability tiers

## The Three-Layer Defense

### Layer 1: Drift Prevention
- Standing orders (binary rules)
- Pre-send gate (delete triggers)
- Intensifier detection
- Periodic resets

### Layer 2: Fault Catching
- 7 fault categories tracked
- Self-check rules before actions
- Fault log + recovery protocol
- Prevents hallucinations, contradictions, silent failures

### Layer 3: Soul Alignment
- Catches "technically correct but off-character" responses
- Soul alignment test
- Recovery protocol
- User perception as final sensor

## Files Included

- `AGENT_STABILITY_FRAMEWORK.md` — Complete framework (13KB)
- `SOUL_TEMPLATE.md` — Identity template
- `BASELINE_EXAMPLES_TEMPLATE.md` — Response examples template
- `DRIFT_LOG_TEMPLATE.md` — Drift tracking
- `FAULT_LOG_TEMPLATE.m...