gast@schmalzl.tirol — A portable knowledge file for agents
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A portable knowledge file for agents

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#KI #Wissen #Software

26 September 2025 · Archive date

A knowledge collection often consists of several parts: texts, references, search information and details of where a piece of content comes from. The idea of combining these parts in one portable file is therefore interesting.

In its original repository, Memvid presents itself as a file-based memory layer for agents. That is a project description, not a speed test of my own. With older finds in particular, it matters that the format and the current state of the project may differ.

An invented collection as a starting point

Let us take ten notes about paper models that I wrote myself. Each note has a title, a text and a date. Some refer to a public guide, others explicitly contain questions that are still open.

A sensible test would have to show that these differences are preserved. If someone later asks about a folding technique, the answer should lead to the original note. A search structure must not turn an unconfirmed idea into an established statement.

Changes are part of it too. If a note is improved, it should be clear which version is current. If it is removed, you need to check whether it still turns up in search results or summaries.

One file does not make every question simpler

Portability can make storage clearer. Even so, you need an understandable description of the format, the backups and the processing used. Whether additional model calls happen locally or remotely is a separate question.

The interesting learning approach is therefore less the big promise of memory than a small, checkable experiment: store known content, find it again, change it and keep its origin visible. If that works in a traceable way, the collection can be expanded step by step.

Original finds

These links were the starting point for this post. The commentary in the text is mine; the linked posts are not my own tests.

About the date: This post was written on 11 October 2026. The archive date corresponds to the earliest related find in the collection, not to a publication at that time. Technical context and sources added later refer to the time of writing.