achiepatricia/han-autonomous-memory-governance-model-v1

Humanoid Autonomous Memory Governance Model

This model manages long-term memory across decentralized humanoid agents.

It governs memory retention, priority weighting, expiration logic, and secure archival processes.

Objective

To maintain efficient, secure, and context-relevant memory usage within autonomous humanoid systems.

Architecture

• Memory Encoding Layer
• Priority Weighting Engine
• Context Relevance Scorer
• Expiration & Archival Controller
• Secure Memory Validation Module

Capabilities

• Context-aware memory prioritization
• Memory lifecycle control
• Expiration scheduling
• Secure archival verification
• Redundant memory pruning

Operational Mode

• Memory ingestion
• Priority scoring
• Lifecycle evaluation
• Secure retention or archival

Designed For

Large-scale humanoid ecosystems requiring efficient memory management and long-term operational stability.

Part of

Humanoid Network (HAN)

License

MIT