ScrapMem: A Bio-inspired Framework for On-device Personalized Agent Memory via Optical Forgetting
Long-term personalized memory for LLM agents is challenging on resource-limited edge devices due to high storage costs and multimodal complexity. To address this, we propose ScrapMem, a framework that integrates multimodal data into "Scrapbook Page." ScrapMem introduces Optical Forgetting, an optical compression mechanism that progressively reduces the resolution of older memories, lowering storage cost while suppressing low-value details. To maintain semantic consistency, we construct an Episodic Memory Graph (EM-Graph) that organizes key events into a causal-temporal structure. Extensive experiments on the multimodal ATM-Bench showcase that ScrapMem provides three main benefits: (1) str...
| Authors | Jiale Chang, Yuxiang Ren |
|---|---|
| Primary category | cs.AI |
| Published | 5 May 2026 |
| Last updated at source | 25 May 2026 |
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