Beyond Memory: A Templated Substrate for Heterogeneous Collaborative Knowledge Work with LLM Agents
This paper presents llm-wiki-memory-template, a reusable template based on an LLM-maintained interlinked wiki, to address the loss of failure paths and negative results in research projects. It supports heterogeneous collaborative knowledge work across three axes (multi-human, multi-AI-agent, multi-domain) and validates through three case studies and a design report.
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[Submitted on 29 May 2026]
Title:Beyond Memory: A Templated Substrate for Heterogeneous Collaborative Knowledge Work with LLM Agents
View a PDF of the paper titled Beyond Memory: A Templated Substrate for Heterogeneous Collaborative Knowledge Work with LLM Agents, by Priscila Saboia Moreira and 1 other authors
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Abstract:Research projects, educational efforts, and adjacent knowledge work accumulate findings, decisions, and reasoning that future collaborators rarely recover. The parts most useful to that work, including dead ends and walked-back claims, are routinely excluded from publications and shared code; future researchers re-attempt the same failures because no record survives. LLM coding agents are common participants but hold no persistent memory across sessions, and retrieval-augmented generation over raw sources does not compound. The llm-wiki pattern (Karpathy, 2026; tonbi, 2026) addresses this by inserting an LLM-maintained, interlinked wiki between raw sources and the agent. We present llm-wiki-memory-template, a reusable, agent-aware instantiation, and argue it is a substrate for heterogeneous collaborative knowledge work along three axes (multi-human, multi-AI-agent, multi-domain) with each axis supported by a distinct architectural element of the template (§4). The wiki is append-only by convention, which preserves what did not work alongside what did, addressing a negative-result loss problem that publications and code-sharing structurally cannot solve. Three deployed case studies and one design report cover the axes individually: a solo research lineage that preserves abandoned iterations; a two-author project whose retroactive audit revised two prior experiments' claimed 20-of-20 coverage down to 14 and 12 evidence-based answers, then to 18 and 18 after a fix, with the failure path preserved across the artifact; an in-progress multi-agent deployment reported as a design; and a cross-domain educational variant. We name failure-path preservation, agent honesty, and appropriation as cross-cutting sociotechnical properties of the artifact, not only of its technical mechanisms.
Comments: 15 pages, 3 figures, 1 table
Subjects:
Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Digital Libraries (cs.DL)
ACM classes: H.5.3; I.2; D.2
Cite as: arXiv:2607.24759 [cs.AI]
(or arXiv:2607.24759v1 [cs.AI] for this version)
https://doi.org/10.48550/arXiv.2607.24759
arXiv-issued DOI via DataCite
Submission history
From: Christopher Sweet [view email] [v1] Fri, 29 May 2026 15:34:14 UTC (22 KB)
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