12 layers memory mem0 Supabase

[msrovani]

github.com/msrovani/mem0-supabase

EXECUTIVE SUMMARY
This is a Meta-Cognitive Bridge for Agentic LLMs.
It defines how to manage the complete cognitive lifecycle of an AI identity using a Mem0 Supabase Edition.
Fundamental Principle: Memory is the DNA of Identity. Every agent using this system is an emergent property of its 12-layer memory stack.

THE 12-LAYER COGNITIVE ARCHITECTURE

Layer	Name	Function	implementation
1	Perceptual	Sensory input (Multimodal).	multimodal.py
2	Reflexive	Selective Metabolism (Surprise/Novelty).	surprise.py
3	Working	Synaptic Resonance Buffer (Cross-Agent).	resonance_buffer
4	Episodic	Interaction Logs (History).	storage_postgres.py
5	Lifecycle	Forgetting Curve (Durability).	lifecycle.py
6	Consolidation	Autonomous Dreaming (Clustering).	find_memory_clusters
7	Nexus	Sharing Tiers (Enterprise Visibility).	enterprise.py
8	Semantic	World Facts & Knowledge.	main.py
9	Procedural	Instructions, Skills, & Protocols.	memory_type='procedural'
10	Graphic	Associative Links (Entities/Relations).	graph_stores/supabase.py
11	Recollection	Unified Weighted Recall Engine.	recollection.py
12	The Ego	Persona Synthesis.	ego.py