Data Management for Agentic Memory: Foundations, Systems, and Challenges
Summary: Tutorial framing agentic memory as a data-management problem: storing, retrieving, updating, and exploiting interaction histories across structured/unstructured data. Systematizes architectures, operators, storage, and optimization, while identifying database research challenges for adaptive lifelong agents. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Guoliang Li (Tsinghua University)
- 2. Jiaqi Tian (Tsinghua University)
- 3. Xuanhe Zhou (Shanghai Jiao Tong University)
BibTeX Citation
@article{li_vldb26,
title = {{Data Management for Agentic Memory: Foundations, Systems, and Challenges}},
author = {Li, Guoliang and Tian, Jiaqi and Zhou, Xuanhe},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {4888--4892},
doi = {10.14778/3827998.3828145},
url = {https://doi.org/10.14778/3827998.3828145},
year = {2026}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,658 | D-Bot: Database Diagnosis System using Large Language Models | 2024 | VLDB | 9.9642078e-05 |
| 4,142 | AOP: Automated and Interactive LLM Pipeline Orchestration for Answering Complex Queries | 2025 | CIDR | 6.7814795e-05 |
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