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Research Paper

MineAI 26.2: Long-Term Memory

Safe and Personalized Conversational AI through structured memory retention.

MineAI 26.2: Long-Term Memory for Safe and Personalized Conversational AI

MineAI Research Team — MineAI Labs

Abstract

MineAI 26.2 introduces Long-Term Memory (LTM) as a controlled mechanism for adaptive conversational behavior. Unlike unsafe self-improving systems, MineAI does not modify model weights or deploy autonomous code changes. Personalization is achieved through structured memory retention, ensuring safety, transparency, and scalability.

Index Terms

Conversational AILong-Term MemoryAI SafetyPersonalization

I. Introduction

Modern conversational AI systems are often described as self-learning, yet real-time intelligence modification is not present in production environments. MineAI adopts a research-driven approach emphasizing memory-based adaptation over recursive self-improvement.

System Architecture

UserSTMLTMPrompt AssemblyLanguage ModelResponse

Conclusion

MineAI 26.2 demonstrates that memory-driven personalization delivers GPT-level user experience without unsafe self-modifying behavior.