MemEye: A Visual-Centric Evaluation Framework for Multimodal Agent Memory

MemEye is a visual-centric evaluation framework designed to assess the memory capabilities of multimodal AI agents by testing how well they retain and recall visual information across interactions. The framework provides a structured benchmark to measure an agent's ability to remember past visual inputs, supporting research into more persistent and context-aware multimodal AI systems.