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han-autonomous-memory-governance-model-v1
achiepatricia/han-autonomous-memory-governance-model-v1
han-autonomous-memory-governance-model-v1 is a machine learning model from achiepatricia. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This model manages long-term memory across decentralized humanoid agents.
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Updated Feb 26, 2026
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At a glance
- License
- mit
- Access
- Public
- Created
- Feb 26, 2026
- Updated
- Feb 26, 2026
- SHA
- 7823620e
Model card
From the Hugging Face model README
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
- License
- mit
- Languages
- en
- Created
- Feb 26, 2026
- Updated
- Feb 26, 2026