Mora, a multi-agent framework designed for generalist video generation, aims to replicate and expand the range of generalist video generation tasks. Mora distinguishes itself by incorporating several advanced visual AI agents into a cohesive system, allowing it to undertake various video generation tasks, including text-to-video generation, text-conditional image-to-video generation, extending generated videos, video-to-video editing, connecting videos, and simulating digital worlds. The framework uses multiple specialized AI agents, each handling different aspects of the video generation process, showcasing adaptability in creating detailed and dynamic video content from textual descriptions. Mora's novel approach allows it to tackle complex video generation tasks and instruction fidelity, but it still faces challenges with dataset quality, video fidelity, and ensuring that outputs align with complicated instructions and people's preferences. The framework is compared to OpenAI's Sora, which has impressive capabilities in generating realistic and detailed videos from text descriptions, but its closed-source nature presents a significant challenge to the academic and research communities interested in video generation technologies.