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VikingMem: A Memory Base Management System for Stateful LLM-based Applications

Summary: Introduces Memory Base, a stateful data-management paradigm for selective, evolving, temporally weighted LLM memories. VikingMem implements event/entity updates, timeline compression, time-weighted recall, and multi-vector reranking, improving retrieval by up to 30% at low latency. (summarized by gpt-5.6-luna on Aug 28 2026)

Paper ID
h0c45583e3ee9b9c6
Venue
VLDB
Year
2026
Pagerank
5.8092399e-05
Overall Rank
6,338 | 57.39%
DOI
10.14778/3827998.3828037

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{fu_vldb26,
        title = {{VikingMem: A Memory Base Management System for Stateful LLM-based Applications}},
        author = {Fu, Jiajie and Chen, Junwen and Wang, Mengzhao and He, Aoxiang and Sheng, Maojia and Ke, Xiangyu and Zhu, Yifan and Gao, Yunjun},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {12},
        pages = {4344--4357},
        doi = {10.14778/3827998.3828037},
        url = {https://doi.org/10.14778/3827998.3828037},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,974 MemLens: A Value-Aware Memory Management System with Interactive Analytics for LLM-based Agents 2026 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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