AI tool
Thinking Orbs
Thinking Orbs is a React component library that provides animated status indicators for AI agents. It offers multiple states, variants, shapes, and render styles for developers building agent interfaces.
About Thinking Orbs
Thinking Orbs is a React component library that provides animated status indicators for AI agents. It ships with 8 distinct states, 15 variants, 5 shapes, and 8 render styles to represent different moments in an agent's workflow. The library is free and open source, distributed via npm as @yogesharc/thinking-orbs.
Review
Most AI interfaces rely on a single spinner or pulsing dot to represent everything from idle waiting to active processing. Thinking Orbs breaks that pattern by mapping specific agent states-thinking, searching, compacting, retrying-to distinct animated orbs. The library is packaged as React components, so integration into existing projects is a matter of importing and dropping in the relevant orb.
Key Features
- 8 named states including thinking, searching, compacting, and retrying, each with its own animation
- 15 variants, 5 shapes, and 8 render styles that can be mixed to match different design systems
- Built as a React component library installable via npm
- Open source under a free license
Pricing and Value
Thinking Orbs is free and open source. No paid tiers or licensing fees are mentioned on the product page. The package is available directly from npm.
Pros
- Surfaces agent states like compacting and retrying that generic spinners typically don't distinguish
- Multiple shape and style combinations reduce the need for custom animation work
- Free and open source removes licensing friction for commercial projects
- Lightweight integration path for teams already using React
Cons
- Limited to React-teams using Vue, Svelte, or plain JavaScript can't directly use the components
- The maker hasn't yet clarified whether animations are CSS-only or JavaScript-driven, which matters for performance on lower-powered devices
- Not well suited for projects that need a status indicator decoupled from a specific agent architecture; the library's terminology assumes a particular mental model of agent states
Thinking Orbs fits best in React-based AI applications where the product already distinguishes between agent states like thinking, compacting, and retrying. It's a practical drop-in for teams that want to skip building polished status animations from scratch. Projects outside the React ecosystem or those with custom agent state models that don't align with the library's 8 predefined states may find it less applicable.
