| title | GateMem: Benchmarking Memory Governance in Multi-Principal Shared-Memory Agents |
|---|---|
| authors | Zhe Ren, Yibo Yang, Yimeng Chen, Zijun Zhao, Benshuo Fu, Zhihao Shu, Bingjie Zhang, Yangyang Xu, Dandan Guo, Shuicheng Yan |
| date | 2026-06-17 |
| venue | arXiv (preprint, not peer reviewed) |
| id | arXiv:2606.18829 |
| upvotes | 18 (Hugging Face Daily Papers, 2026-11-01) |
| links | abs pdf hf code |
| primer | Memory for AI agents |
| abstract | Memory benchmarks for LLM agents largely assume single-user settings, leaving shared assistants for hospitals, workplaces, campuses, and households understudied. In these deployments, multiple principals write to a common memory pool and query it under different roles, scopes, and relationships, so memory quality requires governance as well as recall. We introduce GateMem, a benchmark for multi-principal shared-memory agents. GateMem jointly evaluates utility for legitimate long-horizon requests with state updates, access control across contextual authorization boundaries, and agent-facing active forgetting after explicit deletion requests. It spans medical, office, education, and household domains, with long-form multi-party episodes, incremental memory injection, hidden checkpoints, structured judging, and leak-target annotations. Across diverse baselines and backbone models, no method simultaneously achieves strong utility, robust access control, and reliable forgetting. Long-context prompting often yields the best governance score at high token cost, while retrieval-based and external-memory methods reduce cost yet still leak unauthorized or deleted information. These results show current memory agents remain far from reliable shared institutional deployment. |
cite
@misc{ren2026gatemem,
title={GateMem: Benchmarking Memory Governance in Multi-Principal Shared-Memory Agents},
author={Zhe Ren and Yibo Yang and Yimeng Chen and Zijun Zhao and Benshuo Fu and Zhihao Shu and Bingjie Zhang and Yangyang Xu and Dandan Guo and Shuicheng Yan},
year={2026},
eprint={2606.18829},
archivePrefix={arXiv},
url={https://arxiv.org/abs/2606.18829}
}