MIND vs Tana

An outliner where every node can be typed with 'supertags', turning free-form notes into structured, queryable objects — with built-in AI chat, voice capture, and live search-based views.

An outliner where every node can be typed with 'supertags', turning free-form notes into structured, queryable objects — with built-in AI chat, voice capture, and live search-based views.

Tana's core idea is supertags: type any node — a person, a meeting, a task — and it becomes a structured, queryable object instead of a free-floating bullet. Live search-based views mean you can build something close to a personal database out of an outliner, and the built-in AI chat and voice capture make fast entry genuinely fast. For people who like modeling their own knowledge — deciding what a type is and what fields it carries — Tana is one of the most powerful tools available.

That power is also the cost: you are the schema designer. Every supertag, every field, every view is something you configured, and Tana's AI, like nearly everything else compared on this site, only operates inside Tana. MIND removes the modeling step entirely — you don't decide in advance what a project or a person is, MIND works it out as you add things — and it hands the resulting graph to whichever AI you're using, not just the one Tana ships.

Tana's live, search-based views deserve a specific callout: because every node can be typed and queried, you can build something that behaves like a lightweight internal database — a running list of every meeting tagged with a given project, say, updating itself as you add new notes. That's genuinely more powerful, for someone willing to design it, than anything MIND exposes today; MIND doesn't give you a query language, because the premise is that you shouldn't need one to find what you're looking for.

The honest split, then, is about who enjoys the modeling work. Some people find deciding what a supertag should be and how it should relate to others genuinely satisfying — closer to building a small piece of software than writing a note — and for them, Tana's ceiling is higher than MIND's ever will be, because MIND intentionally doesn't expose that level of control. For everyone else, the setup cost is exactly why they end up looking for something that infers structure instead of demanding it.

Tana's pricing also tells its own story: the free tier is genuinely usable for a single person's daily capture, and the jump to Pro at roughly $18/mo is specifically gated on API access, templates, and automation — the features a power user building a real system on top of Tana actually needs. That's a developer-adjacent pricing ladder, not a consumer one, which fits the tool's whole identity as something built for people who want to construct their own information system rather than be handed one already built, which is the opposite instinct MIND is designed around.

Tana supports Markdown export of your workspace, and MIND can ingest that export, though supertag structure and field types won't carry over one-to-one since MIND doesn't use a typed-node model — it reads the content and rebuilds the connections its own way. Most people moving from Tana keep the deliberate structure they built there and let MIND hold the parts of their memory that need cross-model reach. In practice that means exporting a workspace once, checking that daily notes and voice-captured entries came through cleanly, and treating the supertag definitions themselves as documentation you keep in Tana rather than something you expect MIND to reproduce — the schema was always the value you built by hand, not data waiting to be ported.