Imagine having a search engine, not for websites, but for AI models that can solve visual tasks. That's the promise of MMFactory, a groundbreaking new framework that's changing the game in computer vision. Instead of relying on a single AI model, MMFactory acts as a universal solution provider, intelligently selecting and combining different vision, language, and vision-language models to tackle complex visual challenges. It's like having a team of specialized AI agents working together to solve your problem. So, how does it work? You provide MMFactory with a description of your visual task, a few examples, and any performance or computational constraints you might have. Using a clever multi-agent system, MMFactory then generates multiple programmatic solutions, each using a different combination of AI models from its repository. It's like having a brainstorming session between AI experts. But MMFactory doesn't just propose solutions – it also benchmarks their performance and resource consumption. This lets you pick the best solution that balances accuracy and efficiency based on your specific needs. This is a significant leap forward from current approaches where users often struggle to find the right model among a sea of options. MMFactory simplifies the process and empowers users, regardless of their AI expertise, to build custom solutions tailored to their specific requirements. Experiments show MMFactory significantly outperforms existing methods, especially on tasks involving complex visual reasoning. While the research primarily focuses on visual tasks, the underlying principles of model routing and multi-agent collaboration have the potential to revolutionize how we interact with and utilize AI models across different domains. This could pave the way for more accessible, adaptable, and powerful AI systems in the future.