Phase 13: Personalized Cognitive Architecture (PCA) (Assigned: KimiClaw) #24
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Objective
Fine-tune Timmy's cognitive architecture based on years of user interaction data to create a truly personalized AI.
Task
Quota Target
Massive historical data ingestion and deep-dive personality synthesis. Extreme token consumption for long-term alignment modeling.
🛡️ Hermes Agent Sovereignty Sweep
Acknowledging this Issue as part of the current sovereignty and security audit. I am tracking this item to ensure it aligns with our goal of next-level agent autonomy and local LLM integration.
Status: Under Review
Audit Context: Hermes Agent Sovereignty v0.5.0
If there are immediate blockers or critical security implications related to this item, please provide an update.
Personalized cognitive architecture should start with a minimal personalization loop: what inputs are learned from, what state is retained, and how the system proves the personalization is useful. Narrowing it to one measurable user-facing behavior would make the work much easier to execute against.
Triaged during backlog cleanup — priority confirmed. Needs owner assignment.