SegAgent is a Python framework that orchestrates AI agents to perform semantic image segmentation through natural language interaction. By combining GPT-based language understanding with the Segment Anything Model (SAM), it converts user prompts—such as “segment the tumor region” or “refine around the edges”—into accurate masks. The agent retains conversational context, supports iterative refinement of segmentation results, and can integrate custom models or post-processing steps. It provides an extensible API, command-line tools, and Jupyter notebook examples. SegAgent accelerates annotation workflows, reduces manual tracing effort, and allows developers to embed conversational segmentation capabilities into broader pipelines or applications.

Ollama is an innovative platform designed to simplify the use of AI models by providing a streamline command line interface. Users can easily access, run, and manage various AI models without having to deal with complex installation or setup processes. This tool is perfect for developers and enthusiasts who want to leverage AI capabilities in their applications efficiently, offering a range of pre-built models and the option to integrate custom models with ease.