# Architecture Decision Records
## Index
| [ADR-001](ADR-001-ai-mode.md) | AI Mode - LLM and GPU/CPU Optimization | Proposed | Critical |
| [ADR-002](ADR-002-resource-bridge.md) | Unified Resource Bridge | Proposed | High |
| [ADR-003](ADR-003-behavioral-fingerprint.md) | Behavioral Fingerprint Authentication | Proposed | High |
| [ADR-004](ADR-004-malware-radar.md) | Malware Radar - Anomaly Detection | Proposed | Critical |
| [ADR-005](ADR-005-flow-state-detector.md) | Flow State Detection & Productivity | Proposed | High |
| [ADR-006](ADR-006-frame-drop-oracle.md) | Frame Drop Oracle - Gaming Optimization | Proposed | High |
| [ADR-007](ADR-007-hive-mind-swarm.md) | Hive Mind - Distributed Multi-PC Swarm | Proposed | Medium |
| [ADR-008](ADR-008-llm-inference-optimizer.md) | LLM Inference Optimizer | Proposed | Critical |
| [ADR-009](ADR-009-memory-music.md) | Memory Music - Generative Audio | Proposed | Low |
| [ADR-010](ADR-010-data-export-training.md) | Data Export & Training Pipeline | Proposed | High |
## Overview
RuVector is evolving from a memory optimizer to a **comprehensive system optimizer** with deep AI workload awareness.
```
┌─────────────────────────────────────────────────────────────────┐
│ RuVector Evolution │
├─────────────────────────────────────────────────────────────────┤
│ │
│ v0.1 - v0.2: Memory Optimizer │
│ ┌─────────────────────────────────────────────────────────┐ │
│ │ • RAM optimization │ │
│ │ • Process trimming │ │
│ │ • Neural decision engine │ │
│ │ • PageRank/MinCut algorithms │ │
│ └─────────────────────────────────────────────────────────┘ │
│ │ │
│ ▼ │
│ v0.3+: AI-Aware System Optimizer │
│ ┌─────────────────────────────────────────────────────────┐ │
│ │ • AI Mode (LLM/SD/Whisper optimization) │ │
│ │ • GPU/VRAM management │ │
│ │ • CPU-GPU-NPU resource bridge │ │
│ │ • KV cache optimization │ │
│ │ • Thermal-aware scheduling │ │
│ │ • Runtime integrations (Ollama, vLLM, etc) │ │
│ └─────────────────────────────────────────────────────────┘ │
│ │
└─────────────────────────────────────────────────────────────────┘
```
## Vision
**RuVector becomes the essential companion for local AI:**
1. **Detect** - Automatically identify AI workloads
2. **Optimize** - Manage GPU/CPU/NPU resources intelligently
3. **Bridge** - Orchestrate memory across devices
4. **Predict** - Prevent OOM before it happens
5. **Learn** - Improve optimization through usage patterns
## Key Differentiators
| LLM awareness | No | Yes |
| VRAM management | No | Yes |
| KV cache optimization | No | Yes |
| Layer offloading | No | Yes |
| Ollama integration | No | Yes |
| Thermal prediction | Basic | Advanced |
| NPU support | No | Yes |
## Target Users
1. **Local LLM Users** - Running Ollama, llama.cpp, LM Studio
2. **AI Developers** - Testing models locally
3. **Content Creators** - Using Stable Diffusion, ComfyUI
4. **Gamers** - Optimizing GPU for gaming + AI
5. **Power Users** - Maximizing hardware utilization
## Roadmap
```
v0.2.x (Current)
└── Memory optimization + tray icon
v0.3.0 (Next)
├── GPU detection (NVIDIA/AMD/Intel)
├── VRAM monitoring
├── AI process detection
└── Basic AI Mode CLI
v0.3.x
├── Ollama integration
├── KV cache tracking
└── Model management
v0.4.0
├── Resource Bridge
├── Workload classification
├── Placement engine
└── Memory tier management
v0.5.0
├── vLLM/TGI integration
├── Stable Diffusion optimization
├── Multi-GPU support
└── NPU integration
v1.0.0
├── Full AI Mode suite
├── Production stability
└── Plugin system
```