Briefed before the call
Ask for a brief on an account and get open deals, recent tickets, last emails and invoices in one answer, each cited to its system.
Contacts, companies, deals and tickets, with the rest of the company's memory attached.
Search CRM records, read a record with its associations, pull notes, translate pipelines and owners. Contacts become people in memory linked to their companies, so every later question about a customer starts informed.
Ask in plain English from chat, your editor, a scheduled job or your own agent. The model picks the right HubSpot tool, reads what it needs, and answers with the source cited.
Ask for a brief on an account and get open deals, recent tickets, last emails and invoices in one answer, each cited to its system.
Which deals over 50k close this quarter and who owns them, answered from the CRM and remembered for the follow-up question.
Questions people ask once HubSpot 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 HubSpot in Memtro, with the rest of their stack attached.
A record in HubSpot 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 HubSpot 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.