OmAgent

Why we included this project

OmAgent is a Python library for teams building agents that can act on images, video, and audio, not just text. Its design hides the heavy machinery: worker orchestration, task queues, and node optimization sit behind a small interface, so you can define an agent and run it quickly before worrying about scaling. Multimodal handling is built in rather than bolted on, with VLM backends, video pipelines, real-time APIs, and mobile device connections, and you can point it at locally hosted models through Ollama or LocalAI if you want to avoid hosted endpoints. The repo also bundles reasoning strategies like ReAct and CoT, which makes it easy to test different approaches on the same task, and a Lite mode lets you prototype without standing up middleware. Developers moving from text-only chatbots to multimodal assistants will find the included examples a useful starting point.