Shypd.aiThe largest open index of AI toolsOmAgent is an AI Agents & Automation tool that simplifies building multimodal language agents. It provides a flexible architecture for rapid prototyping and production, supporting text, image, video, and audio inputs.
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OmAgent is a Python library designed to simplify the development of multimodal language agents. It abstracts away complex engineering challenges such as worker orchestration, task queues, and node optimization, providing a straightforward interface for defining agents. The library supports various multimodal interactions, including native integration with VLM models, real-time APIs, computer vision models, and mobile device connections. This enables developers and researchers to build agents that can process and reason over diverse inputs like text, images, video, and audio. OmAgent also offers a flexible agent architecture with a graph-based workflow orchestration engine and multiple memory types for contextual reasoning. It includes state-of-the-art unimodal and multimodal agent algorithms like ReAct, CoT, and SC-CoT, and supports local model deployment via Ollama or LocalAI, alongside a fully distributed architecture with custom scaling options.
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