LightMem-Ego: Your AI Memory for Everyday Life
- Published
- Source
- arXiv
- Paper number
- 611
- Field
- LLMs / NLP
- arXiv ID
- 2607.11487
Key points
- It aligns visual and audio streams on a timeline and segments them into events.
- It incrementally organizes memory into three levels: current, short-term, and long-term.
- It designs a memory router that dynamically routes queries according to their temporal scope and intent.
- It demonstrates four core scenarios: finding objects, recalling conversations, daily summaries, and routine discovery.
- It uses a lightweight architecture that can be deployed on smartphones and AI glasses.
- It outperforms baselines without explicit multimodal memory in retrieval, QA, and latency.
Paper links
External research summaries. These are not HDATF publications or measured product results.