Memorilla Compresses LLM Memory Into 16 Embeddings, Beats RAG Pareto Frontier
ShirleyYXWu · x · 2026-11-06
Memorilla turns everything a frozen LLM needs to remember into just 16 memory embeddings, claiming 4,212x fewer tokens and 27x faster than full-context inference while more accurate, pushing the Pareto frontier over RAG and agentic memory in personalization and long-document/knowledge QA. Same release as the duplicate retweet.
Related event: Memorilla: 16 Memory Embeddings Replace Full-Context LLM Inference(2 posts)→
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