Why LLMs Have No Memory — A Research Report Covering 67 Primary Sources

Mon, 04 May 2026 00:00:00 +0000

This is not AI科普. This is a cross-validated research sprint backed by 67 primary sources — vendor docs, arXiv papers, and researcher interviews — on a question every Agent builder hits: why don’t LLMs remember anything?

→ Full report: 14-product comparison table, 9 engineering takeaways, 3-year paradigm roadmap

The One-Liner
#

Four independent constraints — O(n²) attention + KV cache VRAM + catastrophic forgetting + GDPR right-to-be-forgotten — stacked together leave “stateless” as the only viable engineering solution. Every “Memory” feature you’ve seen (ChatGPT, Claude, Cursor) is structured text injected into the system prompt. Zero weight modification. The next 1–3 years belong to stateless LLM kernels + stateful Agent memory layers.

Research on 卓琪的开发笔记

Why LLMs Have No Memory — A Research Report Covering 67 Primary Sources

The One-Liner #

The One-Liner
#