Thinking Orbs vs Tucky: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Thinking Orbs and Tucky — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Thinking Orbs

Yogesh

Free

Thinking Orbs is a lightweight React library of animated orb status indicators for AI interfaces such as thinking, searching and compacting.

State-Based Orbs: An Orb component with states like reasoning, searching, working, retrying, compacting and waiting to mirror what the agent is doing.
Zero Dependencies: The React orb needs nothing but React and the plain JS version needs nothing at all, at about 3.8 KB gzipped.
Customizable Props: Control variant, size, speed, density, dot size, tilt, pause and screen-reader label to fit any interface.
Opt-in Shapes and Renders: Import extra shapes like cube and renders like halftone separately so only used code is bundled.
Flexible Installation: Install from npm, pnpm, yarn or bun, or copy the component into a project with shadcn.
Tintable with CSS: Color orbs with text-* utility classes so they match the host UI theme.
Interactive Playground: A web playground to preview all states, shapes and renders before integrating.
llms.txt Support: Publishes an llms.txt so coding assistants can integrate the library correctly.

Chat Interface Status: Show a thinking or reasoning animation while an LLM responds.
Agent Progress Display: Indicate searching, working or background-task states in an agentic coding UI.
Context Compaction Feedback: Visualize compacting states when conversation history is summarized.
Retry and Waiting States: Signal retries or waiting-for-input states with distinct orb variants.
Design System Components: Add a polished AI loading indicator to an in-house React component library.
Prototype AI Products: Quickly drop a refined status animation into demos and prototypes.

coconutStudio

Freemium

A native Mac notes app that docks as a thin stripe on the screen edge, with an encrypted local store and a built-in AI agent.

Edge-Docked Notes: Notes rest as a thin stripe at the screen edge and fan out into readable titles when you reach over, so they never occupy a window until you want them.
Voice Agent from Any App: Holding Option-Space brings a bar to whatever application is in front and lets you talk to your notes, with dictation in over 60 languages.
Ask About This Note: Option-J asks a question about the open note; the title travels with the question and the body is only read after you grant permission.
Bundled Frontier Models: The reasoning models needed for writing, editing and cross-note search ship inside the app, so there are no API keys to configure.
Local Encrypted Storage: Notes are local-only files encrypted on disk and stay on the Mac, with the app clearly scoped to a single machine.
App Connectors: Gmail, Google Calendar, Docs, Sheets, GitHub and Notion can be linked so the agent answers using your calendar and mail alongside your notes.
Note Essentials: Checkbox tasks, live Markdown rendering, global shortcuts, clean exports and self-updating builds in a roughly 15 MB app.

Capturing Notes Mid-Task: Jotting a thought without leaving the current app because the notes are already docked at the screen edge.
Hands-Free Dictation: Speaking a note or a question while working in another application, using the global voice shortcut in any of 60+ languages.
Asking Across Your Notes: Searching and reasoning over an accumulated set of notes without moving them into a cloud service.
Privacy-Sensitive Note Keeping: Keeping journals, client details or personal records in an encrypted local-only file rather than a synced service.
Meeting Prep with Context: Pulling calendar entries and mail through the connectors so the agent can draft or summarize against real appointments.
Lightweight Task Tracking: Using checkbox tasks and live Markdown for daily to-dos in the same place the notes already live.