---

version: 2.0.0 date: 2025-03-04 type: system-doc status: public tags: [william, mdag, overview] related: [] changelog:

• version: 2.0.0 date: 2025-03-04 changes:
  • "MAJOR: Switch to YAML frontmatter"
  • "MAJOR: Enhanced metadata structure" references: []
• version: 1.0.0 date: 2025-03-03 changes:
  • "MAJOR: Initial documentation" references: []

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MDAG Overview

Overview

The MDAG (Mycelial DAG) system implements WILLIAM's network topology and growth patterns through a three-stage architecture.

Core Components

1. Stage 1 (SKENAI)

[Raw] → [Initial] → [Basic]
  ↑        ↕          ↓
[Log] ← [Process] ← [Check]

• Raw network intake
• Initial topology
• Basic validation
• Network categorization
• Preliminary growth

2. Stage 2 (SKENAI-Q)

[Deep] → [Quality] → [Validate]
  ↑         ↕           ↓
[Track] ← [Assess] ← [Review]

• Network validation
• Quality assessment
• Growth protocols
• Technical review
• System feedback

3. Stage 3 (SKENAI-R)

[Final] → [Deploy] → [Release]
  ↑         ↕          ↓
[Monitor] ← [Secure] ← [Track]

• Final verification
• Production readiness
• Network deployment
• Access management
• System monitoring

Key Features

1. Network Structure

Properties:
  - Decentralized mesh topology
  - Organic expansion capability
  - Self-healing connections
  - Dynamic load balancing

2. Growth Patterns

Patterns:
  - Adaptive routing
  - Resource optimization
  - Network resilience
  - Automatic scaling

3. Integration Points

Components:
  - Proposal system
  - Value ranking
  - Pattern recognition
  - Governance framework

Benefits

1. Scalability

   • Handles 100k+ proposals
   • Efficient resource utilization
   • Automatic load distribution

2. Resilience

   • Self-healing capabilities
   • Redundant pathways
   • Fault tolerance

3. Optimization

   • Smart resource allocation
   • Efficient data propagation
   • Reduced network overhead

Usage Guidelines

1. Integration

interface MDAGConfig {
  networkType: string;
  scalingFactor: number;
  optimizationLevel: number;
}

2. Best Practices

• Follow organic growth patterns
• Maintain network health
• Monitor system metrics
• Regular optimization

Security Considerations

• Access control implementation
• Network integrity verification
• Data validation protocols
• Secure communication channels

Related Components

• GFORCE Framework
• Pattern Recognition System
• Value Ranking System
• Governance Protocol

Integration with NATURAL Framework

• Clean repository separation
• Natural pipeline flow
• Validator protection
• Interface standards

Pipeline API Integration

• /pipeline/submit - Entry point
• /pipeline/validate - Basic checks
• /pipeline/analyze - Efficiency (Q.1)
• /pipeline/patterns - Recognition (Q.2)
• /pipeline/status - State checks
• /pipeline/vote - Governance

Integration with Three-Graph Lattice

• Technical graph validation
• Economic resource optimization
• Quality metrics tracking