MedMemoryBench: Benchmarking Agent Memory in Personalized Healthcare

arXiv:2605.11814 · cs.AI · Submitted 2026-05-12 · Read on arXiv

cs.AI

Submitted: 2026-05-12

Updated: 2026-10-08

Code: https://github.com/AQ-MedAI/MedMemoryBench

Terminology

• Benchmarking — 2× in this paper · explained in 4 episodes
• Agent Memory — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution
• HaluMem: Evaluating Hallucinations in Memory Systems of Agents
• Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
• From Local to Global: A Graph RAG Approach to Query-Focused Summarization
• LightMem: Lightweight and Efficient Memory-Augmented Generation
• Novel Memory Forgetting Techniques for Autonomous AI Agents: Balancing Relevance and Efficiency
• From RAG to Memory: Non-Parametric Continual Learning for Large Language Models
• MemoryArena: Benchmarking Agent Memory in Interdependent Multi-Session Agentic Tasks
• RULER: What's the Real Context Size of Your Long-Context Language Models?
• Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions
• PersonaMem-v2: Towards Personalized Intelligence via Learning Implicit User Personas and Agentic Memory
• REALTALK: A 21-Day Real-World Dataset for Long-Term Conversation
• MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models
• SimpleMem: Efficient Lifelong Memory for LLM Agents
• MemoBrain: Executive Memory as an Agentic Brain for Reasoning
• Zep: A Temporal Knowledge Graph Architecture for Agent Memory
• ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
• REMem: Reasoning with Episodic Memory in Language Agent
• From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agents
• MIRIX: Multi-Agent Memory System for LLM-Based Agents

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