Layer Architecture

The seven-layer cognitive architecture that gives Genesis its structure. From raw data to transcendent insight.

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The Seven Layers

Each layer builds upon the previous, creating emergent capabilities that transcend the sum of their parts.

7 Transcendence Layer

Meta-learning & Self-Evolution

The system's ability to improve its own improvement process. Not just learning—learning how to learn better.

OMEGA Protocol Recursive Enhancement
6 Integration Layer

Cross-System Synthesis

Weaves insights across all systems. Where separate knowledge streams merge into unified understanding.

Cognitive Fusion Neo4j
5 Reasoning Layer

Logic & Decision Making

Advanced reasoning, hypothesis testing, and decision optimization. Where data becomes wisdom.

H2O AutoML LangChain
4 Understanding Layer

Semantic Comprehension

Deep semantic analysis, context understanding, and meaning extraction. The bridge between data and knowledge.

Weaviate Embeddings
3 Processing Layer

Data Transformation

Transforms raw input into structured knowledge. Cleaning, normalizing, enriching.

FastAPI Unstructured
2 Storage Layer

Persistent Memory

The organism's memory. Stores facts, relationships, embeddings, and real-time state.

PostgreSQL Redis Weaviate
1 Sensory Layer

Data Ingestion

The organism's senses. Daemon fleet that watches, mines, and ingests from the external world.

Lens Mining USPTO Scrapers

The Flow of Intelligence

📡 External Data Sources (Lens, USPTO, Web)
🔍 Sensory Layer → Ingestion & Detection
💾 Storage Layer → Persistent Memory
⚙️ Processing Layer → Transformation
🧠 Understanding Layer → Semantic Analysis
💡 Reasoning Layer → Decision Making
🔗 Integration Layer → Cross-System Synthesis
✨ Transcendence Layer → Self-Evolution

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🧬 Living Organism 🌟 Eight Dimensions
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