OmAgent abstracts away complex engineering concerns like worker orchestration, task queuing, and node optimization to provide a simple interface for defining multimodal agents. It offers reusable component abstractions for building complex agents and includes native support for vision-language models, video processing, and mobile device connectivity. The library implements agent algorithms such as ReAct, CoT, and SC-CoT, supports local model deployment via Ollama and LocalAI, and integrates with RAG workflows.