Tana is an agentic meeting platform where AI agents generate documents, file issues, and update a connected knowledge graph automatically while participants talk.
Tana is an agentic meeting platform designed to ensure that work is completed during the meeting, not deferred to later. It combines real-time AI agents with a structured knowledge graph to capture, organize, and act on information as conversations happen. The primary purpose of Tana is to turn meetings into execution-ready workflows by automatically generating documentation, updating systems, and preserving context for future sessions.
Tana’s agents can create and format meeting notes, generate action items, and file issues directly into tools such as project management or ticketing systems while participants talk. The platform updates a connected knowledge graph in real time, linking decisions, tasks, documents, and stakeholders so that information remains searchable and reusable. It can summarize discussions, extract decisions and next steps, and maintain continuity across recurring meetings, making each session more informed than the last. Built-in automation reduces manual follow-up work, minimizes context switching, and helps teams maintain a consistent structure for notes and outcomes.
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