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om-ai-lab/OmAgent

A Python library simplifying the development of multimodal language agents by abstracting complex engineering and providing native multimodal support.

Core Features

Flexible graph-based agent architecture with contextual memory.

Native support for multimodal interactions including VLM, real-time APIs, computer vision, and mobile connections.

Integration of advanced agent algorithms like ReAct, CoT, and SC-CoT.

Supports local deployment of language models via Ollama or LocalAI.

Fully distributed architecture with custom scaling and a lightweight 'Lite mode'.

Quick Start

pip install omagent-core

Detailed Introduction

OmAgent is a Python library designed to streamline the creation of multimodal language agents. It abstracts away complex engineering challenges such as worker orchestration and task queuing, offering a simplified interface for developers. The framework provides robust abstractions for reusable agent components and natively supports multimodal inputs like images, videos, and audio, along with connections to mobile devices. This enables researchers and developers to build sophisticated agents capable of reasoning beyond text, leveraging state-of-the-art algorithms and supporting both distributed and local model deployments.