Learning from Others, Acting for You: Cross-User Memory Sharing for LLM Agents.

arXiv:2609.32511v1 Announce Type: new Abstract: Large language model (LLM) agents serving different users often solve related tasks, yet separate user histories can leave reusable experience inaccessible to other agents. Pooling memories expands access but ris