Memory Canonicalization: A Framework and Benchmark for Cross-Model Drift in Persistent LLM Memory
cs.AI
Submitted: 2026-10-04
Updated: 2026-10-04
Code: https://github.com/aishwaryalonarkar/cross-model-memory-canonicalization
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- MemGPT: Towards LLMs as Operating Systems
- Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
- Zep: A Temporal Knowledge Graph Architecture for Agent Memory
- A Survey on the Memory Mechanism of Large Language Model based Agents
- From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs
- LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory
- A-MEM: Agentic Memory for LLM Agents
- KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment
- Useful Memories Become Faulty When Continuously Updated by LLMs
- A Survey on Long-Term Memory Security in LLM Agents: Attacks, Defenses, and Governance Across the Memory Lifecycle
- MemCollab: Cross-Model Memory Collaboration via Contrastive Trajectory Distillation
- A Heterogeneous Temporal Memory Governance Framework for Long-Term LLM Persona Consistency
- Memory Transfer Learning: How Memories are Transferred Across Domains in Coding Agents
- KoMA: Knowledge-driven Multi-agent Framework for Autonomous Driving with Large Language Models
- Collaborative Memory: Multi-User Memory Sharing in LLM Agents with Dynamic Access Control
- Modeling Response Consistency in Multi-Agent LLM Systems: A Comparative Analysis of Shared and Separate Context Approaches
- Towards Emotion Consistency Analysis of Large Language Models in Emotional Conversational Contexts
- Deciphering Emotions in Children Storybooks: A Comparative Analysis of Multimodal LLMs in Educational Applications
- Governing Evolving Memory in LLM Agents: Risks, Mechanisms, and the Stability and Safety Governed Memory (SSGM) Framework
- Continuum Memory Architectures for Long-Horizon LLM Agents
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