OmAgent multi-modal native agent framework
OmAgent is a multi-modal native agent framework for smart devices that uses a divide-and-conquer algorithm to efficiently handle complex tasks. OmAgent can pre-process long videos and conduct precise questions and answers, and can also provide personalized clothing suggestions based on user requests and weather conditions. At present, the price has not been announced on the official website, and it is mainly for developers and enterprise users.
target users
Developers, enterprises, and users who need to efficiently handle complex tasks, perform video understanding and visual question answering.
Usage scenarios
Developers can use OmAgent to develop intelligent customer service systems.
Businesses can use OmAgent's video understanding capabilities to process product promotional videos.
Users can use a visual question-and-answer feature to identify plants and learn how to care for them.
Product features
General task solving uses the divide-and-conquer algorithm to efficiently solve complex tasks
Video understanding preprocessing long videos, accurate question and answer
Simple visual question and answer users can ask questions related to pictures and get AI answers
Personalized clothing recommendations Provide personalized clothing recommendations based on user requests and weather conditions (supports Switch, Loop and LTM functions)
Tutorial
1. Visit the OmAgent official website to learn about product functions and documentation
2. Select the appropriate OmAgent function module
3. Install and configure according to the documentation (certain technical background is required)
4. Interact with OmAgent through the interface or API and enter tasks or questions
5. View OmAgent’s results or recommendations