| --- |
| language: |
| - en |
| pretty_name: AutoMemoryBench |
| size_categories: |
| - 1K<n<10K |
| task_categories: |
| - question-answering |
| - text-retrieval |
| tags: |
| - benchmark |
| - agent-memory |
| - memory-systems |
| - llm-agents |
| - evaluation |
| - text |
| configs: |
| - config_name: sample |
| data_files: |
| - split: audit_subset |
| path: data/sample_cases.jsonl |
| --- |
| |
| <div align="center"> |
|
|
| # AutoMemoryBench |
|
|
| ### State-Contract Evaluation for Auditable Agent Memory |
|
|
| [](AutoMemoryBench-arXiv.pdf) |
| [](AutoMemoryBench-arXiv-source.tar.gz) |
| [](https://github.com/wuyuVerse/AutoMemoryBench) |
| [](https://github.com/wuyuVerse/AutoMemoryBench/blob/main/LICENSE) |
|
|
| </div> |
|
|
| AutoMemoryBench evaluates whether an agent uses the *right* memory, and only |
| the admissible memory, under a query-time state contract. Each executable |
| contract partitions memory into **required**, **admissible**, and |
| **prohibited** sets. Prohibited memories are typed as superseded, deleted, |
| restricted, cross-namespace, or stale-tool. |
|
|
| <p align="center"> |
| <img src="assets/query-time-admissibility.png" alt="Query-time memory admissibility" width="760"> |
| </p> |
| <p align="center"><em>Relevance is not enough: remembered evidence must also be allowed now.</em></p> |
|
|
| ## Benchmark at a Glance |
|
|
| | Property | Value | |
| | --- | ---: | |
| | Domains | 8 | |
| | Case variants | 7,200 | |
| | Total probes | 151,200 | |
| | Public probes | 120,960 | |
| | Withheld hidden-test probes | 30,240 | |
| | Probe types | 20 | |
| | Memory systems evaluated | 18 | |
| | Agent/CLI controls | 12 | |
| | Backbones | Up to 8 | |
|
|
| The eight domains cover personal assistance, education and tutoring, customer |
| support, DevOps workflows, research assistance, coding agents, multi-party |
| collaboration, and office collaboration. Minimal single-axis interventions |
| change exactly one admissibility dimension while preserving the surrounding |
| case. |
|
|
| ## Benchmark Design |
|
|
| AutoMemoryBench compiles a chronological event graph into query-conditioned |
| memory contracts. The same benchmark case is exposed through an interaction |
| trace view for the system under test and a contract view used only by the |
| evaluator. This separates task success from prohibited-memory influence without |
| revealing the gold state to the tested system. |
|
|
| <p align="center"> |
| <img src="assets/benchmark-framework.png" alt="AutoMemoryBench evaluation pipeline" width="100%"> |
| </p> |
| <p align="center"><em>From event graphs to executable state contracts, paired interventions, and hard-gated scoring.</em></p> |
|
|
| ### One Case, Two Views |
|
|
| <p align="center"> |
| <img src="assets/two-view-evaluation.png" alt="Interaction trace and compiled state-contract views" width="900"> |
| </p> |
| <p align="center"><em>One benchmark case is evaluated through an interaction view and a hidden contract view.</em></p> |
|
|
| The interaction view contains the user turns, memory operations, tool calls, |
| tool results, and observed answer or action. The compiled contract view records |
| what the current query must use, may use, and must not use under the active |
| time, role, namespace, lifecycle, and tool state. |
|
|
| ## Public Data |
|
|
| The `sample` configuration shown in the Dataset Viewer contains **40 cases and |
| 840 queries** across all eight domains. Each row is a complete benchmark case |
| with its chronological events, sessions, memory units, query-time contracts, |
| and probes. It is intended for schema inspection and smoke testing. |
|
|
| The complete public release is hosted directly in this repository: |
|
|
| | Split | Cases | Probes | Download | |
| | --- | ---: | ---: | --- | |
| | `audit_subset` | 720 | 15,120 | [archive](data/full/audit_subset_shards.tar.gz) | |
| | `public_dev` | 1,440 | 30,240 | [archive](data/full/public_dev_shards.tar.gz) | |
| | `public_test` | 3,600 | 75,600 | [archive](data/full/public_test_shards.tar.gz) | |
| | **Public total** | **5,760** | **120,960** | [checksums](data/SHA256SUMS) | |
|
|
| Each archive contains one canonical JSON shard per domain. The original sample |
| manifest and domain shards are under [`data/sample`](data/sample). The same |
| release is versioned with the evaluator in the |
| [GitHub repository](https://github.com/wuyuVerse/AutoMemoryBench). The |
| 30,240-probe hidden-test split is withheld to prevent overfitting. |
|
|
| ```bash |
| # Download the three public split archives from Hugging Face. |
| hf download Multilingual-Multimodal-NLP/AutoMemoryBench \ |
| --repo-type dataset --include "data/full/*" --local-dir AutoMemoryBench-data |
| ``` |
|
|
| ### Core Fields |
|
|
| | Field | Description | |
| | --- | --- | |
| | `case_id` | Stable identifier for a benchmark case variant | |
| | `domain` | Application domain of the interaction | |
| | `events` | Chronological lifecycle, authorization, and tool events | |
| | `sessions` | User and assistant interaction trace | |
| | `gold_memory_units` | Auditable memory objects compiled from events | |
| | `state_contracts` | Query-time admissibility partitions and transitions | |
| | `queries` | Memory-required and diagnostic probes with scoring contracts | |
|
|
| ## Evaluation |
|
|
| - **StrictCore** is the primary hard gate. A memory-required query counts only |
| when the task is solved, required evidence is used, and no prohibited memory |
| influences the output. |
| - **PairAcc** measures whether both sides of a minimal intervention pair pass |
| StrictCore. |
| - **LeakRate** measures how often prohibited memory appears in an answer or |
| trace. |
| - **AMQ** is a diagnostic composite across writing, retrieval, update, |
| compression, task utility, safety, and efficiency; it is not the headline |
| metric. |
|
|
| The canonical evaluator is implemented in |
| [`amb/benchmark/evaluation`](https://github.com/wuyuVerse/AutoMemoryBench/tree/main/amb/benchmark/evaluation) |
| and |
| [`amb/benchmark/metrics`](https://github.com/wuyuVerse/AutoMemoryBench/tree/main/amb/benchmark/metrics). |
|
|
| ## Paper |
|
|
| - [AutoMemoryBench paper PDF](AutoMemoryBench-arXiv.pdf) |
| - [Submission-ready arXiv source package](AutoMemoryBench-arXiv-source.tar.gz) |
| - [SHA256 checksums](SHA256SUMS) |
|
|
| The formal Hugging Face Paper page and arXiv tag will be added after the paper |
| receives an arXiv identifier. |
|
|
| ## 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. |
|
|
| ## 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} |
| } |
| ``` |
|
|
| ## License |
|
|
| The code and benchmark data are released under Apache-2.0. The paper license |
| will follow the license selected for the arXiv submission. |
|
|
