V-Mem: Modality-Routed Retrieval for Long-Term Multimodal Agentic Memory
Dingyi Kang, Dongming Jiang, Yi Li, Guanpeng Li, Bingzhe Li
cs.AI, cs.CL, cs.CV, cs.IR
Submitted: 2026-08-02
Comments: 19 pages, 2 figures, 16 tables. Code: https://github.com/Dingyi-Kang/V-Mem
Code: https://github.com/Dingyi-Kang/V-Mem
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- GPT-4 Technical Report
- Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents
- Zero-shot Multimodal Document Retrieval via Cross-modal Question Generation
- M2A: Multimodal Memory Agent with Dual-Layer Hybrid Memory for Long-Term Personalized Interactions
- MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents
- HAGE: Harnessing Agentic Memory via RL-Driven Weighted Graph Evolution
- Anatomy of Agentic Memory: Taxonomy and Empirical Analysis of Evaluation and System Limitations
- MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models
- Omni-SimpleMem: Autoresearch-Guided Discovery of Lifelong Multimodal Agent Memory
- SimpleMem: Efficient Lifelong Memory for LLM Agents
- MemVerse: Multimodal Memory for Lifelong Learning Agents
- MemGPT: Towards LLMs as Operating Systems
- A-MEM: Agentic Memory for LLM Agents
- MemGen: Weaving Generative Latent Memory for Self-Evolving Agents
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