SOURCE-LINKED INTELLIGENCE
CreaMem: A Scene-Aware Memory Architecture for Personalized Agents
Long-term memory is a core capability for personalized LLM agents. To support it, existing memory systems organize information using various criteria such as topic segments or summary hierarchies. However, we identify two major limitations in these designs. First, they lack scene awareness: memories from unrelated life scenes share the same retrieval space, which inflates the search space and introduces cross-scene interference. Second, they encode each memory from a single perspective, making it difficult to retrieve complementary views of the same event. In this paper, we propose the CreaMem
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-08T10:33:05.000Z
First collected: 2026-09-20T20:22:01.598Z. This is not the publication date.