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Personal Knowledge Model (PKM) Upgrade Rehearsal

Public concept page defining the zero-information-loss upgrade and rehearsal framework for Hussh Personal Knowledge Models (PKM).

Concept

TL;DR: The PKM Upgrade Rehearsal framework is a strict, validation-driven protocol designed to verify and guarantee zero information loss during version transitions, data model schema migrations, and projection updates.

Status as of 2026-07-16: see body.

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Core Concept

The Personal Knowledge Model (PKM) serves as the persistent memory and structural foundation for the Hussh One private agent. As the underlying schemas, contract versions, and readable projection engines evolve, the PKM Upgrade Rehearsal protocol ensures that all structural context transitions happen seamlessly, securely, and with zero information loss.

The guiding principal of the PKM upgrade lifecycle is preservation and provable correctness. Before any upgraded schema or model projection is deployed, it must be programmatically proved that every historical data record is safely decrypted, transformed, re-encrypted, and verified without any drop in fidelity.

Key Architectural Principles

  • Zero-Loss Guarantee: No user record, transaction context, or personal preference is ever abandoned or silently deleted during an upgrade. If an item cannot be confidently mapped to the upgraded schema, it is quarantined securely rather than dropped.
  • Idempotent Replay: All upgrade, migration, and reconciliation routines must be fully idempotent, allowing them to be executed repeatedly in any environment without introducing data drift or duplicate entries.
  • Audit-Gated Promotion: Version transitions are gated by a comprehensive series of automated checks. A promotion from UAT to production requires full-suite validation across historical corpora, database layers, and front-facing client interfaces.
  • Sovereign Key Continuity: Throughout the upgrade sequence, private user keys (such as BYOK vault keys) remain strictly client-side and are never exposed to intermediate cloud servers or logs.

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