Before the call
Ask what a customer last wrote and get the thread summarised: dates, who said what, what was promised. No scrolling the mailbox.
Search and read mail so the last thread with a customer is one question away.
Search your mailbox and read messages. People in email threads are anchored into memory, so 'when did we last hear from Sam?' has an answer.
Ask in plain English from chat, your editor, a scheduled job or your own agent. The model picks the right Gmail tool, reads what it needs, and answers with the source cited.
Ask what a customer last wrote and get the thread summarised: dates, who said what, what was promised. No scrolling the mailbox.
Someone is away. Ask what they agreed with a supplier in March; Memtro reads the thread, answers, and remembers the outcome for next time.
Questions people ask once Gmail 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 Gmail in Memtro, with the rest of their stack attached.
A record in Gmail 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 Gmail 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.