Before the follow-up
Ask what was agreed with a customer last week and get the summary, who attended and the exact wording from the transcript, with a link to the note.
Every meeting's notes, attendees and transcript, remembered.
Connect Granola with an API key and Memtro can list your recent meetings, read the AI summary, see who was there and pull the transcript when a detail matters. New meetings sync in hourly as events in memory, so the next question about a customer already knows what was said in the last call.
Ask in plain English from chat, your editor, a scheduled job or your own agent. The model picks the right Granola tool, reads what it needs, and answers with the source cited.
Ask what was agreed with a customer last week and get the summary, who attended and the exact wording from the transcript, with a link to the note.
Every summarised meeting syncs in as an event with its attendees, so briefing on an account already includes the last three conversations.
Questions people ask once Granola is connected. In agent mode each one also checks the other systems that know about the same people, companies or identifiers.
Teams that get the most from Granola in Memtro, with the rest of their stack attached.
A record in Granola is rarely the whole story. Connect the systems that hold the rest and the agent cross-references them by default, then remembers what it learned so the next question starts further along.
Using something else for the same job, or both? Each connector has its own tools; connect as many as you like.
Chat in the dashboard, the OpenAI-compatible API, scheduled jobs, and any MCP client: Claude Code, OpenCode, Cursor, Claude Desktop. The Granola tools are the same everywhere.
Clients and agents →Seven-day free trial, then one monthly price per organisation. Connectors, jobs and memory are never metered.