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 "name": "memory-bench",
 "version": "1.0.0",
 "description": "A screened benchmark for organizational memory in agent harnesses. Three simulated software organizations, each a multi-week stream of meetings, messages and documents delivered per principal, with behavioral work-task probes injected at eval time and scored against machine-checkable assertions. Every probe instance is paired with a counterfactual twin: an instance is credited only if both the base and twin sides pass, so knowledge answerable from priors earns nothing. 371 valid paired instances across four probe archetypes, screened under a pinned worker with fully blinded judging. The ground-truth ledger and two holdout seeds are withheld.",
 "license": "https://creativecommons.org/licenses/by/4.0/",
 "url": "https://github.com/notmehul/memory-bench",
 "citeAs": "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",
 "identifier": "https://huggingface.co/datasets/notmehul/memory-bench",
 "keywords": [
  "agent memory",
  "organizational memory",
  "continual learning",
  "benchmark",
  "counterfactual evaluation",
  "LLM agents"
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 "datePublished": "2026-09-14",
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