Show HN: Visual interface for AI agents beyond text-only chat (github.com)

A new visual communication interface for AI agents has been introduced, allowing them to utilize diagrams, structured inputs, and maintain visual context throughout interactions, moving beyond traditional text-only chat. This innovative approach significantly enhances user engagement by enabling richer, more dynamic presentations of information. Users can quickly set it up by configuring their Cursor MCP settings to include the Bun library, which facilitates the TypeScript execution necessary for this functionality. This development is particularly significant for the AI/ML community as it supports more interactive and intuitive user experiences by integrating features like persistent state management, user context retention, and the capability to handle various input types through user forms. Key technical components include a state machine for managing conversation flow, long-polling for real-time user input, and rich content support with tools like Mermaid for diagrammatic representation. These enhancements pave the way for more sophisticated interactions with AI agents, making them more effective in various applications such as education, technical support, and creative collaboration.