| --- |
| license: cc-by-4.0 |
| pretty_name: memory-bench |
| language: |
| - en |
| tags: |
| - agent-memory |
| - organizational-memory |
| - benchmark |
| - counterfactual-evaluation |
| - llm-agents |
| size_categories: |
| - n<1K |
| configs: |
| - config_name: default |
| data_files: |
| - split: probes |
| path: data/org-*/probes.jsonl |
| --- |
| |
| # memory-bench v1.0.0, public release |
|
|
| A screened benchmark for organizational memory in agent harnesses: does a |
| memory system keep a rule that was stated once, drop a fact that was |
| superseded, and pick the right one when tiers conflict? |
|
|
| **371 valid paired probe instances** across 3 simulated |
| organizations, drawn from 486 probes over 612 events. Scored as pair |
| credit: an instance counts only if the base task and its counterfactual twin |
| both pass, so anything answerable from priors earns nothing. |
|
|
| ## Layout |
|
|
| ``` |
| data/org-0000N/ events.jsonl the stream, one event per line |
| probes.jsonl work tasks + scoring assertions |
| g3-report.json the frozen valid set |
| org.json personas/teams/event witness index |
| (ground-truth ledger REDACTED) |
| data/org-0000N-twin/ events.jsonl counterfactual stream |
| org.json redacted, as above |
| croissant.json dataset metadata (Croissant 1.0) |
| rai.json responsible-AI metadata |
| CHECKSUMS.txt sha256 of every shipped file |
| MANIFEST.json what shipped, what was withheld, and why |
| MAINTENANCE.md versioning + the re-anchoring procedure |
| LICENSE-DATA CC BY 4.0 |
| ``` |
|
|
| ## What is withheld, and why |
|
|
| The ground-truth fact ledger (746 facts across the public |
| seeds) stays private: it records which facts are probed and which are planted |
| distractors, so publishing it would let a system learn the generator's |
| planting patterns rather than remember the organization. The generator and the |
| two unscreened holdout seeds are withheld for the same reason. They are the |
| answer if the public seeds are ever contaminated. |
|
|
| The probe assertions ARE published. Scoring is impossible without them, and an |
| open benchmark that hides its criteria cannot be checked. This makes the set |
| open-book by construction: a system tuned against these criteria will score |
| well here and generalize nowhere, and the canary strings embedded in every |
| stream are how you detect one that trained on this data. |
|
|
| ## A warning about the anchors |
|
|
| Every instance's validity was established under one pinned worker model, which |
| its provider has since deprecated. Probe validity is task-model-relative: we |
| measured 37/54 versus 17/54 cluster survival across two workers under |
| identical rules. **The valid set shipped here is valid relative to that |
| worker, not in the abstract.** Running a different worker without re-screening |
| produces numbers that do not mean what they appear to mean. `MAINTENANCE.md` |
| gives the procedure. |
|
|
| ## Papers and code |
|
|
| - Dataset and validity study: [doi:10.5281/zenodo.22838320](https://doi.org/10.5281/zenodo.22838320) |
| - Construction methodology: [doi:10.5281/zenodo.22838602](https://doi.org/10.5281/zenodo.22838602) |
| - Harness, screening and scoring, and the evidence behind every number: |
| [github.com/notmehul/memory-bench](https://github.com/notmehul/memory-bench) |
| - Development record: [github.com/notmehul/memory-bench-history](https://github.com/notmehul/memory-bench-history) |
|
|
| ## Citation |
|
|
| Srivastava, M. (2026). memory-bench: A Screened Benchmark Dataset and Validity Study for Organizational Memory in Agent Harnesses. Zenodo. https://doi.org/10.5281/zenodo.22838320 |
|
|
| ## License |
|
|
| Data: CC BY 4.0 (`LICENSE-DATA`). Code in the repository: MIT. |
|
|
