Thinking Orbs is a UI component library that provides animated loading indicators designed for artificial intelligence and agent interfaces.
The project addresses the need for polished, contextually appropriate loading states in AI applications. Rather than generic spinners, it offers nine distinct animated orb patterns that convey different types of processing activity—such as thinking, analyzing, or generating responses. Each animation is tuned to feel natural and appropriate to AI workflows. The indicators come in two sizes and automatically adapt to dark and light color schemes, eliminating the need for developers to manually style loading states for different themes.
Developers building chat applications, AI agent interfaces, or other AI-powered UIs should consider this library if they want loading indicators that feel cohesive with modern AI product design. The component approach means you can drop these into existing projects without extensive customization. The variety of nine types allows you to signal different processing states to users, which is particularly valuable in multi-step AI workflows where distinguishing between thinking, searching, and generating phases improves user experience.
The project shows active maintenance with regular updates addressing user feedback and refinements to animation timing and visual polish. Development includes iterative improvements to the orb animations themselves, suggesting the maintainer is responsive to how these components perform in real applications. The codebase remains focused on its core purpose without scope creep, maintaining a clean and purposeful implementation.
