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.

AppWorld provides a comprehensive suite of tools to build, launch, and monetize AI-powered applications via a drag-and-drop interface. Users integrate OpenAI or other LLM APIs, manage plugins, and publish to a public marketplace. The platform handles hosting, user management, analytics, and monetization options, enabling rapid iteration on conversational AI, FAQ bots, virtual assistants, and custom AI tools—all through an intuitive dashboard.