LightMem-Ego: Your AI Memory for Everyday Life
Personal AI assistants on mobile and wearable devices continuously perceive users' daily lives through visual and audio streams. However, answering queries about past experiences requires lightweight multimodal memory that can continuously accumulate, organize, and retrieve long-term experiences, which remains challenging. To address this challenge, we present LightMem-Ego, a lightweight streaming multimodal memory system for everyday-life assistance. The system continuously captures egocentric visual and audio streams, aligns them on a shared timeline, and organizes them into a hierarchical m
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- PossiblePossibly related (embedding) · 57%basicmachines-co/basic-memory →
- PossiblePossibly related (embedding) · 56%smixs/iva →
- PossiblePossibly related (embedding) · 55%nossa-y/activity-frames →
- PossiblePossibly related (embedding) · 54%We're building agents that can read millions of documents, but still forget a video they watched yesterday. →
- PossiblePossibly related (embedding) · 53%EverMind-AI/EverOS →
- LinkedLinked via arxiv author · 85%Yijun Chen →
“LightMem-Ego: Your AI Memory for Everyday Life”
- LinkedLinked via arxiv author · 85%Boyi Xiao →
“LightMem-Ego: Your AI Memory for Everyday Life”
- LinkedLinked via arxiv author · 85%Yixian Zhao →
“LightMem-Ego: Your AI Memory for Everyday Life”