#long-context-learning News & Analysis

Rosetta Memory: Adaptive Memory for Cross-LLM Agents

Researchers introduce Rosetta Memory, an adaptive memory system designed to work seamlessly across different large language models. The system uses profile-conditioned operators to optimize how memory is stored and retrieved, enabling users to switch between models like Claude and GPT without degrading performance.