Five works cite ZenBrain (as of 28 September 2026): a survey by the Sico team at Microsoft Research, MindMemOS by Huawei's Noah's Ark Lab, the EVD preprint, the HindsightTag manuscript and the Lamperouge manifesto. All five appeared within four months of the arXiv preprint of 26 April 2026.
Lamperouge
The manifesto “The field measures the wrong thing” (Lamperouge, Zenodo preprint, 16 August 2026) selects six works on persistent internal state, names ZenBrain among them, and notes right after that its “days” are simulation steps.
The citing sentence
ZenBrain (arXiv:2604.23878) has the most serious neuromodulator engine … which puts it above almost everyone.
Lamperouge, section selecting the six works.
MindMemOS
For the foundational claim of its introduction, MindMemOS (Huawei's Noah's Ark Lab, arXiv:2608.12428, 12 August 2026) relies on exactly three references: two field surveys and a single system paper — ZenBrain. Eight other memory systems are named in the same section; none of them holds that spot. The first paragraph of its introduction carries seven references: four software references, two field surveys and a single system paper — ZenBrain.
The citing sentence
Memory therefore serves as an external information substrate that supports long-term personalization, knowledge reuse, and experience accumulation [12, 4, 36].
MindMemOS, Section 1. Reference [4] is ZenBrain.
HindsightTag
The manuscript HindsightTag by Vivek Govindbhai Dudhat on retroactive memory consolidation in LLM agents (July 2026) positions itself against ZenBrain as its closest prior system, uses ZenBrain's MemoryCoordinator interface as its integration example, and notes that ZenBrain names synaptic tagging only in an appendix.
The citing sentence
The single closest prior system, ZenBrain [Bering, 2026], names the mechanism explicitly.
HindsightTag, Introduction.
Agentic Evolution
A survey by the Sico team at Microsoft Research (Agentic Evolution, 2026) calls forgetting “critically understudied”: very few of the roughly 100 Memory & Sense papers it surveys implement explicit forgetting. It lists ZenBrain as one of four works in its forgetting/lifecycle group and as its only source for sleep-based consolidation.
The citing sentence
ZenBrain (Bering, 2026) integrates fifteen neuroscience-inspired mechanisms into a seven-layer architecture.
Agentic Evolution, section “Forgetting: critically understudied”.
EVD
EVD, a paper on an emotional valence dimension for persistent agent memory (R. J. Vandelinder and I. Vandelinder, Exile Research, Zenodo preprint, 15 June 2026), places ZenBrain in its related work.
The citing sentence
More recently, ZenBrain (arXiv 2604.23878) proposed a neuroscience-inspired 7-layer memory architecture that includes emotional valence as one stored field among many.
EVD, Section 2 (Related Work). Reference [6] is ZenBrain.
Built in and rebuilt
Two projects build the library into their code: one reads and writes the ZenBrain SQLite database directly; another uses the FSRS implementation of @zensation/algorithms as the ranking and feedback layer of a knowledge base on radiotherapy literature. Further projects have rebuilt parts of ZenBrain in their own code, two of them in published releases. The data privacy company Osano describes, on the blog of its innovation lab, a seven-layer memory stack for its LLM products whose layers ZenBrain coordinates.
In research lists
ZenBrain appears in the companion list to the Sico team's survey, which Microsoft Research links itself, and, following our submissions, in the research lists of a Tsinghua University centre and of China Telecom's AI institute (TeleAI). For the TeleAI list, the repository, paper and homepage were checked before the merge, and the entry was placed by the list's maintainer.
Correction
We re-measure ourselves. We re-checked the paper's evaluation and published the result on 18 September 2026 as a separate correction notice: three of nine comparisons hold, all against A-Mem; the other six are ties at the paper's own criterion, and none is lost. The re-measurements moved four printed figures in the paper's favour.