Evidence record 7340 · automatically gathered

Governing Evolving Memory in LLM Agents: Risks, Mechanisms, and the Stability and Safety Governed Memory (SSGM) Framework

Long-term memory has emerged as a foundational component of autonomous Large Language Model (LLM) agents, enabling continuous adaptation, lifelong multimodal learning, and sophisticated reasoning. However, as memory systems transition from static retrieval databases to dynamic, agentic mechanisms, critical concerns regarding memory governance, semantic drift, and privacy vulnerabilities have surfaced. While recent surveys have focused extensively on memory retrieval efficiency, they largely over

Record details

Published: 12 March 2026
Source: arXiv
Category: Research
Topics: Regulation · Privacy · Agents & autonomy
Retrieved: 14 July 2026

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ethics.ai (12 March 2026), “Governing Evolving Memory in LLM Agents: Risks, Mechanisms, and the Stability and Safety Governed Memory (SSGM) Framework,” evidence record 7340, https://ethics.ai/record/7340 (originally published by arXiv).

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