A Contextual Memory Framework for Privacy-Preserving Local Cognitive Agents using SLM

My project, “A Contextual Memory Framework for Privacy-Preserving Local Cognitive Agents using SLM,” aims to develop an intelligent AI system that remembers previous conversations, user preferences, and important information across sessions while protecting user privacy. It uses a Small Language Model (SLM), structured memory modules, context-aware retrieval, and privacy mechanisms to enable personalized AI interactions locally without relying on cloud services.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-13
DOI
https://doi.org/10.5281/zenodo.23347137
Primary Topic
Speech and dialogue systems
Type
preprint
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preprint

A Contextual Memory Framework for Privacy-Preserving Local Cognitive Agents using SLM

Harshal Gadekar
Zenodo (CERN European Organization for Nuclear Research)
Speech and dialogue systems
preprint

A Contextual Memory Framework for Privacy-Preserving Local Cognitive Agents using SLM

Harshal Gadekar
preprint en

Abstract

My project, “A Contextual Memory Framework for Privacy-Preserving Local Cognitive Agents using SLM,” aims to develop an intelligent AI system that remembers previous conversations, user preferences, and important information across sessions while protecting user privacy. It uses a Small Language Model (SLM), structured memory modules, context-aware retrieval, and privacy mechanisms to enable personalized AI interactions locally without relying on cloud services.

Zenodo (CERN European Organization for Nuclear Research)
Speech and dialogue systems
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