Finding a forgotten ChatGPT idea by its meaning in a growing chat archive
I often remember an idea by what it meant, not by the title of the conversation where it appeared. Archiefvis ("Archive Fish") is a private ChatGPT plugin I built to turn that kind of memory into a repeatable search through my chat archive. It is for anyone whose exported conversations keep growing faster than their filenames make sense. 1. Check the sources first. ChatGPT lists the archive files it can find, with upload or modification dates and export coverage where known. I confirm they are current, since an older ZIP does not become the latest version just because it was found. 2. Search from the remembered meaning. I give it themes, approximate wording, related concepts and a possible period. I search several clues separately, including spelling variants, using indexes and summaries to find candidates and the conversation texts when those are not enough. 3. Verify the original passage. For each candidate I check the surrounding messages and record the title, actual message date, filename and message number. My own words stay separate from ChatGPT's interpretation and from later summaries. A related passage from a year later is a lead, not the original explanation. 4. Collect only the conversations worth reading. ChatGPT prepares a small Python script using the exact filenames from the index. I run it locally. It copies the selection into one ZIP, checks for missing or duplicate files, and leaves the originals intact. 5. Read the selection and trace the idea. I upload the ZIP and ask for a synthesis of recurring concepts, changes, corrections, tensions and connections, with references back to the conversations. I require complete reading in manageable sections, since opening a file or finding a few keywords is not the same as reading it. The starting prompt I reuse: "First show me which archive versions you can access and let me confirm them. Then search for this remembered idea: [description]. Distinguish verified passages, later repetitions and uncertain candidates." In one session, the collection step worked for five selected conversations, which became the basis for a synthesis of my thinking concerning one topic. The plugin needs accessible files or Library tools; it does not grant access to my computer by itself.
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