AI Research

MemMachine: Why Storing Raw Conversations Beats Extracting Them

A new agent memory paper from April 2026 argues that the dominant pattern — extract facts with an LLM, store the facts — bleeds truth and tokens. MemMachine stores the raw episodes instead, hits 0.9169 on LoCoMo, and spends ~78% fewer input tokens than Mem0.

Published April 14, 2026
10 min read