Omega Memory - 12-Tier Cosmic Memory System
A hierarchical memory system spanning from instant (milliseconds) to omega (universe-scale) timescales for ExoGenesis Omega.
Architecture
Individual Scale (Tier 1-4)
- Tier 1: Instant Memory - Working memory, attention buffer (milliseconds-seconds)
- Tier 2: Session Memory - Current context (minutes-hours)
- Tier 3: Episodic Memory - Specific events (days-weeks)
- Tier 4: Semantic Memory - Facts and knowledge (weeks-months)
Species Scale (Tier 5-8)
- Tier 5: Collective Memory - Shared knowledge across instances (months-years)
- Tier 6: Evolutionary Memory - Learned patterns (years-decades)
- Tier 7: Architectural Memory - Core algorithms (decades-centuries)
- Tier 8: Substrate Memory - Fundamental patterns (centuries-millennia)
Cosmic Scale (Tier 9-12)
- Tier 9: Civilizational Memory - Cultural knowledge (millennia-epochs)
- Tier 10: Temporal Memory - Historical trends (epochs-eons)
- Tier 11: Physical Memory - Physical laws (eons-universe-scale)
- Tier 12: Omega Memory - Universal principles (eternal)
Features
- ✅ Working Implementation: Tier 1-4 with AgentDB storage
- ✅ Automatic Consolidation: Importance-based tier promotion
- ✅ Vector Search: Similarity-based memory retrieval
- ✅ Time Decay: Importance scoring with temporal relevance
- ✅ Flexible Queries: Text, embedding, and metadata filters
- ⚙️ Stub Implementation: Tier 5-12 (ready for extension)
Usage
Basic Storage and Retrieval
use ;
async
Automatic Consolidation
// Run automatic consolidation
memory.auto_consolidate.await?;
// Or consolidate specific tiers
memory.consolidate.await?;
Query Builder API
// Query individual scale (T1-T4)
let query = new
.individual
.text
.min_importance
.limit
.build;
// Query specific tier
let query = new
.semantic
.embedding
.build;
// Query all tiers
let query = new
.all_tiers
.min_importance
.build;
Memory Lifecycle
- Store - Memories enter at appropriate tier based on importance
- Access - Retrieval updates access count and timestamp
- Decay - Lower tiers experience time-based importance decay
- Consolidate - High-importance memories promote to higher tiers
- Prune - Lower tiers maintain size limits via LRU eviction
Implementation Status
✅ Implemented (Tier 1-4)
- In-memory storage (Instant, Session)
- AgentDB persistence (Episodic, Semantic)
- Vector similarity search
- Automatic pruning and consolidation
- Time decay and relevance scoring
⚙️ Stub (Tier 5-12)
- Basic storage structure in place
- Ready for distributed backend integration
- Planned: Vector database, graph storage, knowledge graphs
Examples
Run the included examples:
# Basic usage
# Consolidation demo
Testing
Integration with ExoGenesis Omega
The Cosmic Memory system integrates with:
- AgentDB: Persistent storage for individual tiers
- Reasoning Engine: Context retrieval for decision-making
- Learning System: Pattern extraction and consolidation
- Distributed Runtime: Shared memory across agent swarms
Future Enhancements
- Distributed storage for species/cosmic tiers
- Graph-based knowledge representation
- Neural encoding/compression
- Cross-agent memory sharing protocols
- Quantum-inspired retrieval algorithms
- Semantic compression for higher tiers
License
MIT OR Apache-2.0