OmniMem is a new memory-efficient framework for audio-visual large language models that enhances long-video inference by using a modality-aware memory allocation strategy. It demonstrates improved accuracy in video understanding tasks while maintaining compact memory usage, making it a promising advancement in the field of AI-driven video analysis.