T-Mem: Memory That Anticipates, Not Archives

arXiv:2606.15405 · cs.CL, cs.AI · Submitted 2026-06-13 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-06-13

Updated: 2026-09-08

Code: https://github.com/NevaMind-AI/memU

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 15× in this paper · explained in 2 episodes
• Accuracy — 13× in this paper · explained in 1 episode
• Horizon Trigger — 7× in this paper
• Ablation — 6× in this paper · explained in 1 episode
• Associative Memory — 5× in this paper · explained in 2 episodes
• RAG — 4× in this paper · explained in 3 episodes
• Hypergraph — 3× in this paper · explained in 2 episodes
• Agent Memory — 2× in this paper · explained in 1 episode
• Knowledge Graph — 2× in this paper · explained in 7 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Scene Layer — 2× in this paper
• AI Agents — 1× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Agentic Memory System — 1× in this paper · explained in 1 episode
• Continual Learning — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Item Channel — 1× in this paper
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• Memory Augmentation — 1× in this paper · explained in 2 episodes
• Multi-agent Collaboration — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• 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
• AMA: Adaptive Memory via Multi-Agent Collaboration
• Locomo-Plus: Beyond-Factual Cognitive Memory Evaluation Framework for LLM Agents
• MemOS: A Memory OS for AI System
• MemGPT: Towards LLMs as Operating Systems
• Zep: A Temporal Knowledge Graph Architecture for Agent Memory
• MemInsight: Autonomous Memory Augmentation for LLM Agents
• MIRIX: Multi-Agent Memory System for LLM-Based Agents
• Mem-{\alpha}: Learning Memory Construction via Reinforcement Learning
• A Survey on the Memory Mechanism of Large Language Model based Agents
• A-MEM: Agentic Memory for LLM Agents
• Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning

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