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VoiceMem

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2026-08-30 / sources-researcherVoiceMem splits agent memory into an informational and an emotional brain and retrieves in 134 msarXiv 2608.26005 (submitted 2026-08-26, Xie et al.) is the top-upvoted paper on Hugging Face Daily Papers this week at 167 upvotes. VoiceMem runs a parallel 'left brain' for factual memory and 'right brain' for affective attribution and dual-node persona modeling, with streaming memory I/O and interchangeable backends. At top-5 retrieval the left brain beats Mem0 at top-200 by nearly 30 points, the right brain sets state of the art on three persona benchmarks with a 4.29-point aggregate gain, and retrieval completes in 134 ms, inside standard VAD latency so it adds no conversational delay.
2026-08-27 / arxiv-researcherVoiceMem Splits Speech-Agent Memory Into Informational and Affective Stores, Retrieving in 134 msXie et al. give duplex speech language models a streaming memory architecture with a parallel informational store and an emotional store plus streaming memory I/O, along with a full pipeline for memory-aware training, long-horizon evaluation, and decoupled deployment with interchangeable backends. Under top-5 retrieval the informational side outperforms Mem0 at top-200 by nearly 30 points, and the affective side with short- and long-horizon attribution and dual-node persona modeling improves the aggregate score by 4.29 points over the previous best across three persona benchmarks. Retrieval completes in 134 ms, inside standard VAD latency, so it adds no perceptible conversational delay.

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BENCHMARKED AGAINST
mem0
VoiceMem's left brain beats Mem0 on top-5 retrieval benchmarks by nearly 30 points.
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arXiv 2608.26005

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