# LOGOS Architecture Overview
**Logarithmic Ordering Generation Operating Software**

*A fundamental pivot from the "muscle head era" of brute-force scaling toward deep architectural engineering of stable, mathematically guaranteed structures.*

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## Core Philosophy
The LOGOS architecture moves away from **statistical probability** toward a **structural skeleton** rooted in:
- Number Theory
- Prime Factorization
- Tensor Topology

> **Intelligence is redefined as the optimization of pathing through token space.**

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## 1. Data Dissolution and Atomic Ingestion

### The Context Nightmare
LOGOS bypasses the "nightmare" of managing raw statistical token storage by employing a process called **Dissolution**.

### Data Atoms
Dissolution strips unnecessary context and redundancy, reducing input to irreducible **"data atoms"** (integers) designed for optimal agent digestion.

### Baking Structural Fidelity
Visual data undergoes **"baking"**, which utilizes the Structural Similarity Index Measure (SSIM) to prioritize functional shape and perceived content over raw bit-by-bit minimization.

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## 2. Agent Orchestration (AF)

The **Agent Flow (AF)** is a collaborative, parallel orchestration system rather than a sequence of independent intelligences:

| Agent | Role |
|:------|:-----|
| **Dolphin** | Systems oversight and tokenization orchestration |
| **Gemma** | Image metadata management and visual redundancy stripping |
| **L (Internal Scripts)** | Text dissolution and conceptual factorability |
| **RNJ-1** | Encoding agent, physically filing atoms onto the Matroska manifold |

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## 3. The Mathematical Grammar: MTL

The **Meta Tensor Language (MTL)** defines reasoning as the optimization of pathing through token space. Its logic gates are derived from number theory:

| Operation | Function |
|:----------|:---------|
| **Hold** | Open Composite → Prime factorization to reach irreducible components |
| **Attach** | Factor → Structural assembly, nesting prime factors within a tensor |
| **Xelta (Δ)** | Atomic change tracking → Essential for memory and stability over time |

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## 4. Transport and Resonance (SPCW)

The **Scalar Prime Composite Wave (SPCW)** is a self-stabilizing transport protocol that abandons traditional network lanes.

### GPF Filtering
Categorizes atoms by their **Greatest Prime Factor** to determine routing paths.

### Harmonic Resonance
Uses prime gap repeating sequences to fill "phase holes," allowing the system to re-align signals in noisy environments.

### Heat Metrics
| Metric | Description |
|:-------|:------------|
| **Meta Heat** | Overall complexity measurement |
| **Delta Heat** | Atomic change tracking for lossless transmission (only move shifted atoms) |

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## 5. Topological Structuralism

The **Matroska Topology** is a 3D tensor space where domains are recursively nested.

### Canonical Distinction
Nesting allows identical "low domains" (e.g., two users performing the same math) to exist within separate "high domains" without context collision or amnesia.

### Self-Structuring Nodes
Every node address is **context-dependent**, modifying its tensor index based on the relational path taken to reach it.

### Grokking
Redefined as the **discovery of the underlying data flow topology**, where semantic gravity (user intent) is permitted to pull nodes and physically realign prime sequences.

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## Implementation Status

| Component | Status | Location |
|:----------|:-------|:---------|
| **MTL Interpreter** | ✅ Turing Complete | `logos/mtl/interpreter.py` |
| **Genesis Block** | ✅ Defined | `logos/mtl/genesis.json` |
| **Prime Token DB** | ✅ Active | `logos/memory/prime_db.py` |
| **Domain-Keyed Memory** | ✅ Verified | MTL `(domain)`, `(in-domain)` |
| **Hadamard Product** | ✅ Verified | MTL `(mult)` on lists |
| **Inter-Domain Fusion** | ✅ Verified | Domain [6] = [2] × [3] |
| **Fractran Loop** | ✅ Verified | Turing Complete via primes |
| **Video Atomizer** | ✅ Active | `logos/agents/video_atomizer.py` |
| **Web Atomizer** | ✅ Active | `logos/agents/web_atomizer.py` |

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## Genesis Block (Root Manifold)

```json
{
  "1": "TIME",
  "2": "MECHANISM",
  "3": "RESULT",
  "5": "CHOICE",
  "7": "PERSIST",
  "11": "WHY",
  "13": "RELATE",
  "17": "IMAGE",
  "19": "TEXT",
  "23": "AUDIO",
  "29": "SIGNAL"
}
```

### Derived Composites
| Composite | Factorization | Meaning |
|:----------|:--------------|:--------|
| `[4]` | 2² | Previous (Mechanism of Mechanism) |
| `[6]` | 2×3 | Flip (Action = Mechanism × Result) |
| `[10]` | 2×5 | Around (Navigation = Mechanism × Choice) |
| `[12]` | 2²×3 | Thought (Result of Previous) |
| `[14]` | 2×7 | Hold (Mechanism of Persistence) |

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*Document Version: 2026-01-11*
*Source: LOGOS System Architecture / NotebookLM Integration*