Show HN: Kotodama OS – An external layer to prevent LLM persona drift (github.com)

Kotodama OS is a newly announced external behavioral layer designed to enhance Large Language Models (LLMs) by addressing the challenge of persona drift and ensuring long-term conversational consistency. Unlike traditional methods that rely on prompt engineering or model retraining, this innovative system operates externally, maintaining a stable interaction style, values, and decision-making tendencies across extended dialogues. This model-agnostic solution introduces a Deliberation Gate and Pulse Engine that structure AI responses through a controlled cognitive flow, allowing LLMs to preserve coherence and continuity in their interactions without altering their foundational weights. Significantly, Kotodama OS positions itself as a frontrunner in developing what is termed "Companion-Grade AI," capable of establishing deeper emotional connections and relationship-oriented functionalities. By enabling features across products like Messenger and Instagram DMs, it promises improvements in conversation quality and emotional alignment in global communications. This initiative opens up pathways for further research and development in AI that can engage empathetically and maintain consistent personas over time, paving the way for next-generation AI experiences across various platforms.