nfrs.sgit.ai / documents / memory-thesis

The memory thesis

TypeThesis document Versionv0.33.62 Date24 August 2026 AuthorDinis Cruz, via the SG/Send Librarian LicenceCC BY 4.0 Sourceraw markdown · view on GitHub

Summary

Develops one sentence from the commissioning message into an argument. Conventional LLM memory is an accumulation of transcripts, retrieved by similarity, private to one vendor, unversioned, uncurated and invisible to the person it describes. This network is the same function built as publishing: curated briefs, addressable URLs, git versioning, an explicit licence, and a human who can read their own memory. The document's strongest section is the evidence that this was already the design before anybody said it: guides with for_llms in the filename, the markdown twin at every URL, and an agent-access report that diagnosed a memory-retrieval failure in exactly those terms. It closes with three honest limits, of which staleness is the sharpest: in an agent-memory network, a stale page is a false memory.

Key concepts

Key ideas

On this site

Published as /memory/, and recommended to the network hub at sgit.ai, where it would explain all fourteen sites rather than one. That move is listed as proposed and not built.

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📄 Original document · v0.33.62 · 24 August 2026 · rendered from the raw markdown (the source of truth)