Tsinghua University · Voice Memory

VoiceMem

A streaming dual-brain memory architecture for voice AI: a left-brain schema and entity store for factual memory, a right-brain model for emotion, preference and personality, fed by streaming ASR, voiceprint, scene detection and emotion recognition. On LoCoMo it reports 91.2% accuracy at K=5 against Mem0 at 61.68%, Zep at 62.93% and EverMemOS at 83.13%, using a mean of 430 memory tokens where Mem0 uses 6,956, at 134ms latency against Mem0's 1,440ms and roughly 300 tokens per turn. Code, a web demo, the ChatMem-400K dataset and weights are all released.