chat-recall vs Thinking Orbs: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of chat-recall and Thinking Orbs — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
chat-recall
chat-recall
Makes every conversation your team has had with AI coding assistants searchable, and flags secrets leaked into those chats.
Key features
- Unified Conversation Search: Full-text search across the chats, plans, task lists and notes written by five supported AI coding tools, searchable the moment they arrive.
- Local Secret Redaction: Passwords and API keys are stripped on your own computer before anything is uploaded; only the last few characters are ever received.
- Leaked Key Reporting: Shows every key found, whether it is still live, and how many conversations it appeared in, with support for custom in-house key formats you register.
- MCP Server and Recall Tools: Exposes the history to your assistants through an MCP server so they can query past work directly rather than starting cold.
- Ranked Action Plan: Derives code findings and a prioritized list of what to fix next, written out as CODE_TASKS.md.
- Self-Closing Bug Tasks: Each detected bug becomes a task with a sketched fix, and closes itself once the problem is actually gone.
- Config Distribution: Skills and MCP configuration follow you to every machine and to whichever assistant you pick up next, with a per-machine view of what is missing.
- Per-Project Rules: Mark a project as a prototype or a live product once, and every assistant that opens it plays by the matching rules.
Best for
- Credential Incident Response: Find which keys were pasted into assistant conversations, whether they are still valid, and where they spread.
- Recovering Past Decisions: Search months of AI conversations to recover a plan or rationale instead of asking the same question again.
- Onboarding a New Machine: Sign in on a new laptop and get the full conversation history and every accumulated skill without copying files by hand.
- Switching Assistants: Try a different AI coding tool without losing the add-ons and context built up in the previous one.
- Team Knowledge Sharing: Share project history selectively with teammates and assign follow-up work from a shared task board.
- Security Review Before Shipping: Run the secret monitor and code findings over accumulated history as a pre-release check.
Thinking Orbs
Yogesh
Thinking Orbs is a lightweight React library of animated orb status indicators for AI interfaces such as thinking, searching and compacting.
Key features
- 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.
Best for
- 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.