# Memory Layer Documentation Audit - January 2025

## Summary

Comprehensive audit of Kernle memory layer implementation against documentation. All discrepancies identified and corrected.

## Audit Scope

Reviewed:
- `kernle/core.py` - All memory operations (~4400 lines)
- `kernle/storage/base.py` - Storage protocol and data classes (~700 lines)
- `kernle/storage/sqlite.py` - SQLite implementation (~4100 lines)
- `kernle/storage/postgres.py` - Supabase implementation (~1400 lines)
- `kernle/storage/__init__.py` - Exports and factory
- All documentation in `docs/` directory

## Memory Types Verified

All documented memory types match implementation:

| Type | Table | Implementation | Documented |
|------|-------|----------------|------------|
| Episodes | `episodes` | ✅ Full | ✅ Updated |
| Beliefs | `beliefs` | ✅ Full w/ revision chains | ✅ Updated |
| Values | `agent_values` | ✅ Full, protected by default | ✅ |
| Goals | `goals` | ✅ Full | ✅ |
| Notes | `notes` | ✅ Full | ✅ |
| Drives | `drives` | ✅ Full, protected by default | ✅ |
| Relationships | `relationships` | ✅ Full | ✅ |
| Playbooks | `playbooks` | ✅ SQLite only | ✅ Updated |
| Raw Entries | `raw_entries` | ✅ SQLite only | ✅ Updated |

## Key Features Verified

### 1. Consolidation Process
- **Implementation**: Agent-driven, NOT LLM-based
- **Method**: `Kernle.consolidate()` - extracts common lessons from episodes
- **Method**: `Kernle.revise_beliefs_from_episode()` - updates beliefs based on episode evidence
- **Documentation**: ✅ Correctly described as agent-driven

### 2. Memory Layers & Relationships
```
raw → episodes → beliefs → values/identity
```
- **Raw** can be promoted to episode, note, or belief via `process_raw()`
- **Episodes** inform beliefs via `revise_beliefs_from_episode()`
- **Consolidation** extracts patterns from multiple episodes
- **Documentation**: ✅ Created comprehensive MEMORY_MODEL.md

### 3. Anxiety/Health Metrics
Five dimensions with weighted composite:
1. Context Pressure (35%)
2. Unsaved Work (25%)
3. Consolidation Debt (20%)
4. Identity Coherence (10%)
5. Memory Uncertainty (10%)

- **Implementation**: `Kernle.get_anxiety_report()`
- **Documentation**: ✅ Correctly described, added implementation notes

### 4. Search Functionality
- **Local**: sqlite-vec with hash embeddings
- **Cloud**: Optional hybrid search with timeout/fallback
- **Implementation**: `SQLiteStorage.search()` with `prefer_cloud` parameter
- **Documentation**: ✅ Described in MEMORY_MODEL.md

### 5. Forgetting System
- **Salience formula**: `(confidence × log(access_count + 1)) / (age / half_life + 1)`
- **Tombstoning**: Memories are marked `is_forgotten=True`, not deleted
- **Protection**: Values and Drives protected by default
- **Documentation**: ✅ Added to SKILL.md and MEMORY_MODEL.md

## Documentation Updates Made

### 1. SKILL.md
- Added: Belief revision commands (reinforce, supersede, history)
- Added: Meta-memory commands (confidence, verify, lineage, source)
- Added: Forgetting commands (candidates, run, recover, protect)
- Added: Playbook commands (create with all options, use with success tracking)
- Added: Emotional memory commands
- Added: Drive commands

### 2. SCHEMA.md
- Fixed: Schema version 9 → 10
- Added: Enhanced sync_queue columns (data, local_updated_at, synced)
- Added: Version 10 to changelog
- Added: Feature comparison table (SQLite vs Supabase)

### 3. RAW_MEMORY_LAYER.md
- Added: Implementation status banner (✅ IMPLEMENTED)
- Added: Implementation details section with API and CLI commands

### 4. ANXIETY_TRACKING.md
- Added: Implementation status banner
- Added: Implementation details with method signatures and CLI

### 5. IDENTITY_COHERENCE.md
- Added: Implementation status banner

### 6. architecture.md
- Added: Note clarifying this is ideal/target architecture
- Added: Link to MEMORY_MODEL.md for current implementation

### 7. README.md
- Added: Link to MEMORY_MODEL.md in documentation section
- Added: Link to IDENTITY_COHERENCE.md

### 8. NEW: MEMORY_MODEL.md (created)
- Complete memory architecture documentation
- Memory layer hierarchy with flow diagram
- All 9 memory types with field references
- Consolidation process explanation
- Meta-memory system documentation
- Forgetting system documentation
- Search functionality explanation
- Sync architecture overview

## Findings: No Major Discrepancies

The implementation is consistent with documentation intent. Updates were primarily:
1. Adding missing feature documentation (forgetting, meta-memory, belief revision)
2. Updating schema version numbers
3. Clarifying implementation status
4. Creating comprehensive reference documentation (MEMORY_MODEL.md)

## Recommendations

1. **Keep MEMORY_MODEL.md updated** when adding new features
2. **Update SCHEMA.md version** when schema changes
3. **Add implementation status banners** to design docs as features land
4. **Consider Supabase feature parity** for playbooks/raw entries if cloud-native needed
