Probing Stability-Plasticity Tradeoffs in Agent Memory through Cognitive Experimental Paradigms

arXiv:2609.30558 · cs.CL, cs.AI, cs.LG · Submitted 2026-09-24 · Read on arXiv

cs.CL, cs.AI, cs.LG

Submitted: 2026-09-24

Updated: 2026-09-24

Code: https://github.com/jq-ding/MemProbe

Terminology

• RAG — 55× in this paper · explained in 3 episodes
• Accuracy — 48× in this paper · explained in 1 episode
• Agent Memory — 27× in this paper · explained in 1 episode
• Fidelity — 14× in this paper · explained in 2 episodes
• Provenance — 14× in this paper · explained in 4 episodes
• Benchmark — 10× in this paper · explained in 2 episodes
• Benchmarking — 4× in this paper · explained in 4 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Failure Modes — 4× in this paper · explained in 3 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Core — 3× in this paper · explained in 2 episodes
• Temporal Reasoning — 3× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Knowledge Graph — 2× in this paper · explained in 7 episodes
• AI Agents — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Agentic Task — 1× in this paper · explained in 1 episode
• Agentic Tasks — 1× in this paper · explained in 1 episode
• Failure Taxonomy — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• LLM judge — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• RealMem: Benchmarking LLMs in Real-World Memory-Driven Interaction
• Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
• MemoryArena: Benchmarking Agent Memory in Interdependent Multi-Session Agentic Tasks
• Evaluating Long-Horizon Memory for Multi-Party Collaborative Dialogues
• Memory OS of AI Agent
• Hindsight is 20/20: Building Agent Memory that Retains, Recalls, and Reflects
• SimpleMem: Efficient Lifelong Memory for LLM Agents
• Evaluating Very Long-Term Conversational Memory of LLM Agents
• Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning
• MemGPT: Towards LLMs as Operating Systems
• Zep: A Temporal Knowledge Graph Architecture for Agent Memory
• Memoria: A Scalable Agentic Memory Framework for Personalized Conversational AI
• MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents
• MemConflict: Evaluating Long-Term Memory Systems Under Memory Conflicts
• EvoMemBench: Benchmarking Agent Memory from a Self-Evolving Perspective
• Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning
• Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents
• AMA-Bench: Evaluating Long-Horizon Memory for Agentic Applications

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