Capture without thinking. Organize without trying. Remember without searching.

MindStash is a curiosity companion app that lets you capture everything you save — articles, screenshots, voice notes, ideas — and uses AI to organize, connect, and resurface it as a personal knowledge graph. It works across iOS today, with web and Android following soon. Think of it as the analog camera for information: a tool that changes how you pay attention to the world by giving you a place to keep what matters.

A curiosity companion is a new category of app designed to support how your mind actually follows interest — capturing fleeting ideas without forcing you to file them, and bringing them back when they're relevant. Unlike productivity tools that demand structure upfront, a curiosity companion like MindStash lets meaning emerge over time, the way it does in the human brain.

Most people save hundreds of things every year — bookmarks, screenshots, voice memos, articles to read later — and forget almost all of it. MindStash solves the gap between capture and retrieval by automatically organizing what you save and surfacing it when you need it, turning a graveyard of saved items into a living personal knowledge base.

MindStash is built for people whose work or thinking depends on cross-domain connection: researchers, designers, writers, founders, students, and lifelong learners. It's also particularly useful for people with ADHD or anyone who finds traditional folder-and-tag systems overwhelming.

You can save to MindStash in three ways: through the iOS share dialog from any app, by pasting a link or text directly, or by uploading photos and screenshots. Voice notes can also be captured. Once saved, the AI handles titling, summarizing, tagging, and connecting it to related items automatically.

MindStash accepts any links, articles, PDFs, images, screenshots, voice notes, and plain-text thoughts. Each item is processed by AI to extract its meaning — including OCR on images and transcription on audio — so everything becomes searchable and connectable in your personal knowledge graph.

Yes. MindStash uses visual recognition to understand what's in your screenshots — design inspiration, recipes, charts, text snippets — and categorizes them automatically. The text inside becomes searchable immediately, so you can find a screenshot of a quote without remembering where you saw it.

Instead of forcing you to file notes into folders, MindStash analyzes the meaning of what you save and links items by shared concepts. Save an article on sustainable architecture and a photo of a green wall, and the system identifies the connection. This mirrors how the brain forms memory paths — through association, not hierarchy.

Sparks are intelligent resurfacings: small, well-timed nudges that bring back something you saved when it becomes relevant again. Designed to keep your past curiosity active in your present thinking, rather than letting it fade.

A personal knowledge graph is a network of all the ideas, articles, notes, and media you've saved, with relationships between them mapped automatically. MindStash builds yours in the background as you capture, so over time you accumulate a structured, searchable map of what you've found interesting.

A bookmark manager stores links. A second brain app like MindStash captures the full content and context, then uses AI to connect saved items into a personal knowledge graph. The difference is between a static list and a dynamic, intelligent system that helps you actually use what you've saved.

Notion is a workspace you build manually — pages, databases, and structures you maintain yourself. MindStash is the opposite: capture-first, with the organizational structure emerging automatically from AI analysis. Notion is for projects you're managing. MindStash is for thinking you're following.

MyMind and MindStash share a capture-first, anti-folder philosophy, but MindStash goes further by building a connected knowledge graph rather than a flat visual library, and by exposing your context to AI tools through a Model Context Protocol (MCP) server.

Readwise focuses on highlights from books and articles — surfacing what you've already read. MindStash captures a much wider range of content (images, voice, screenshots, full articles, ideas, videos, reels, posts etc.) and connects items by meaning across types, not just by source. The two can be complementary: Readwise for reading, MindStash for everything else.

Not exactly. Note-taking apps like Apple Notes or Bear assume you'll write structured documents and find them later by remembering where you put them. MindStash assumes the opposite — that you'll capture things quickly, often without clear intent, and want the system to help you find and connect them later. Nevertheless MindStash can also be used for structured notes.

Many ADHD users find traditional organization overwhelming because of the maintenance — tagging, filing, naming. MindStash removes that friction: you capture, and the system handles the sorting. This reduces executive load and means good ideas don't get lost just because you didn't have the energy to file them properly.

Yes. Researchers use MindStash to capture papers, quotes, screenshots, and field notes across projects, with the AI surfacing unexpected connections between sources you'd otherwise treat as separate. Citations and full-text content remain searchable, and the personal knowledge graph makes synthesis across domains more tractable.

Yes — visual capture is a first-class workflow. Save screenshots, moodboard images, type specimens, and color references, and MindStash will categorize them, OCR any text, and surface related items as you build a project.

Yes. MindStash can connect your saved knowledge to AI tools through a Model Context Protocol (MCP) server, so ChatGPT, Claude, and other compatible assistants can read from your personal context when they answer you. This is what we call your personal context layer — the connective tissue between everything you've saved, your tastes and inspirations, and the AI tools you use.

A personal context layer is a structured, AI-readable representation of everything you've saved, learned, and thought about — your interests, references, and projects in one queryable place. MindStash is a personal context layer that any AI tool can plug into, so AI assistants stop starting from zero every conversation and start knowing you over time.

Yes. Your second brain is personal. MindStash does not sell your data, and your private notes are not used to train public AI models. Data is encrypted in transit and at rest on AWS infrastructure based in the EU.

MindStash launched on the iOS App Store in April 2026, with a web application and Android version following shortly after. The MCP integration means MindStash is also accessible from any AI tool that supports the Model Context Protocol, including Claude and ChatGPT.