AutoMemoryBench / README.md
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---
language:
- en
pretty_name: AutoMemoryBench
tags:
- benchmark
- agent-memory
- memory-systems
- llm-agents
- evaluation
---
# AutoMemoryBench
**State-Contract Evaluation for Auditable Agent Memory**
AutoMemoryBench evaluates whether an agent uses the right memory, and only the
admissible memory, under a query-time state contract. Each contract partitions
memory into required, admissible, and prohibited sets, with prohibited memories
typed as superseded, deleted, restricted, cross-namespace, or stale-tool.
## Paper
- [Paper PDF](AutoMemoryBench-arXiv.pdf)
- [arXiv source package](AutoMemoryBench-arXiv-source.tar.gz)
- [Code and data](https://github.com/wuyuVerse/AutoMemoryBench)
## Authors
Jiajun Wu, Jian Yang, Chen Li, Linzheng Chai, Ge Gao, Ensheng Shi, and Yuchi Ma.
Jiajun Wu and Jian Yang are affiliated with Beihang University. Ensheng Shi and
Yuchi Ma are affiliated with Huawei Cloud Computing Technologies Co., Ltd.
## Abstract
A deployed agent fails not only when it forgets, but when it uses memory that is
stale, deleted, unauthorized, cross-namespace, or unsupported by current tool
state. AutoMemoryBench introduces query-time memory admissibility as an
executable evaluation contract. Its primary metric, StrictCore, counts a query
only when the task is solved, required evidence is used, and no prohibited
memory influences the output. The release spans eight domains with 7,200 case
variants and 151,200 probes, paired with minimal single-axis interventions.
## Citation
```bibtex
@misc{automemorybench,
title = {AutoMemoryBench: State-Contract Evaluation for Auditable Agent Memory},
author = {Wu, Jiajun and Yang, Jian and Li, Chen and Chai, Linzheng and
Gao, Ge and Shi, Ensheng and Ma, Yuchi},
year = {2027},
url = {https://github.com/wuyuVerse/AutoMemoryBench}
}
```
The formal Hugging Face Paper page and arXiv link will be added after the paper
receives an arXiv identifier.
## License
The code and benchmark data are released under Apache-2.0. The paper license
will follow the license selected for the arXiv submission.