Rosetta Memory: Adaptive Memory for Cross-LLM Agents 事件

Rosetta Memory: Adaptive Memory for Cross-LLM Agents arXiv:2606.07711v1 Announce Type: cross Abstract: Memory is the key component for transforming a stateless LLM into a persistent, evolving agent through experience accumulation, long-horizon planning, and continual self-improvement. Existing memory systems typically take the LLM as the center and design memory operations tailored to a specific backbone. In practice, however, users frequently switch between LLMs, for example using Claude for c