---
format: "aidr-story-markdown/v1"
id: "9397e3a3601313b3ec6863db33632e7974a4380746355f014165b194746eee90"
canonical_url: "https://aidr.today/9397e3a3?lang=en"
title: "Stanford Research Open-Sources Memorilla, a Latent Memory Module for Frozen LLMs"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-11-14T10:21:21.000Z"
category: "Open Source"
topics: ["llm","open-source"]
source_urls: ["https://www.marktechpost.com/2026/11/14/stanford-memorilla-memory-system-16-memory-tokens/"]
summary: "Stanford researchers released Memorilla, an open-source memory system. It compresses a document collection into 16 memory tokens for a frozen Qwen3-8B. Memorilla reaches 84.33% on FactKG using 108x fewer document tokens than full context."
---

# Stanford Research Open\-Sources Memorilla, a Latent Memory Module for Frozen LLMs

> [Open the canonical story](<https://aidr.today/9397e3a3?lang=en>)

**Published:** 2026-11-14T10:21:21.000Z
**Category:** Open Source
**Topics:** llm, open\-source

## Summary

Stanford researchers released Memorilla, an open\-source memory system\. It compresses a document collection into 16 memory tokens for a frozen Qwen3\-8B\. Memorilla reaches 84\.33% on FactKG using 108x fewer document tokens than full context\.

## Sources

- [Story source](<https://www.marktechpost.com/2026/11/14/stanford-memorilla-memory-system-16-memory-tokens/>)