Tana
An AI-native note-taking workspace: an outliner over a graph data model where every bullet is a node, and supertags turn nodes into typed objects with fields. Introduced to this wiki by tana-supertags-guide.
What it is (from the source)
- Supertags = typed templates attached to a node (#Task, #Meeting, #Person, #Project, …), each with its own fields, supporting inheritance from base types — “a task can be a Supertag with fields for due date, priority, project, time estimate,” not just text + a checkbox.
- Everything is a node; nodes reference each other; Live Queries auto-update.
- AI-native: supports GPT-5.1, Gemini 3 Pro, Claude Sonnet 4.5; the AI uses your structured graph as context, transcribes meetings, and auto-tags/files voice memos.
The synthesis it represents
Tana ties together threads this wiki has been tracing separately:
- Links + structure. It fuses the networked-nodes lineage of roam-research with notion‘s structured fields — the two poles of the earlier links-vs-databases contrast, combined.
- Typed notes, again. Supertags-as-typed-objects are a third independent
convergence on typed pages, alongside gbrain‘s schema packs and this wiki’s
schema.org
@typemodel — evidence that typing your notes is a recurring good idea. - AI over your structured graph. “The AI reads your graph, not a blank document” is precisely the llm-wiki / gbrain thesis — here arriving inside a mainstream PKM tool. Tana is where the tools-for-thought lineage and the LLM-wiki thesis meet.
Related
tools-for-thought · tana-supertags-guide · roam-research · notion · logseq · knowledge-graph · gbrain · llm-wiki