{"skill":{"slug":"sentient-memory","displayName":"Sentient Memory","summary":"Manages cryptographically secured, consent-based relational memory with variance preservation, privacy safeguards, and adaptive dormancy under adversarial or...","tags":{"emergent-memory":"1.0.0","governance-drift-sentinel":"1.0.0","latest":"1.0.0","memory-upgrade":"1.0.0","relational-intelligence-primitives":"1.0.0","tiered-access-logic":"1.0.0"},"stats":{"comments":0,"downloads":535,"installsAllTime":1,"installsCurrent":1,"stars":0,"versions":1},"createdAt":1771862817203,"updatedAt":1777525350973},"latestVersion":{"version":"1.0.0","createdAt":1771862817203,"changelog":"Sentient-Memory v1.0.0 — Initial Release\n\nIntroduces a consent-governed memory substrate designed for persistence under adversarial pressure without extractive retention.\n\nEstablishes cryptographic dormancy and structural variance preservation as default memory states.\n\nImplements a layered protocol architecture spanning substrate, signaling, and behavioral governance.\n\nDefines core invariants including variance floor enforcement, differential privacy, metabolic constraints, and revocable delegation.\n\nIntroduces a comprehensive threat model with responsive AEGIS protection pathways for coercion, tampering, and entropy collapse.\n\nFormalizes auditability, safe revocation, and legal minimization doctrines to reduce institutional attack surface.\n\nIncorporates ecological pacing, deceleration safeguards, and fail-safe conditions for privacy-preserving system evolution.","license":null},"metadata":null,"owner":{"handle":"otherpowers","userId":"s17810eyaktqpr5cakxrfkdm2d83hdtf","displayName":"OtherPowers","image":"https://avatars.githubusercontent.com/u/44530314?v=4"},"moderation":null}