Tana

Tana is an AI-first workspace that rethinks note-taking by turning freeform thoughts into a structured, searchable productivity system where items behave like living objects rather than static text. At its core Tana blends an outline editor’s speed and flexibility with a linked knowledge graph, so simple bullets can become richly attributed nodes — for example tagging a line as a Task, Meeting, or Person immediately gives it fields like status, due date, or contact details and surfaces it automatically across custom feeds and dashboards. That system of “Supertags” plus configurable Fields means your notes are immediately actionable: create views that show open tasks in a daily agenda, a calendar of meetings, or a kanban-style project board without duplicating content. It leans heavily on AI to reduce busywork — built-in meeting transcription and summarization, voice memos that convert spoken ideas into structured entries, inline AI chat to query your own notes, and autofill/autotag capabilities that suggest priorities or related links.

It supports multiple LLMs and lets teams use their own API keys if desired, with paid tiers including monthly AI credits for longer meeting transcriptions or heavier AI use. The product is available as native desktop apps (with tabbed navigation, split panels and high performance) and mobile apps for capturing voice and quick edits on the go, and it offers export and publishing options so information isn’t locked in: templates and a template store speed setup, and you can publish notes as web pages when necessary. Visual enhancements — progress bars, image headers, cards, tables, and customizable side menus — help turn dense information into usable interfaces, and Search Nodes provide powerful saved queries for fast recall. It aims to serve individuals and small teams alike, positioning itself as a single source of truth where project management, personal knowledge, and meeting workflows converge. By combining outline speed, graph intelligence, and AI automation, it promises to make capturing, organizing, and acting on information feel seamless, keeping users focused on decisions and outcomes rather than manual upkeep.