Meeting Agents

What Mainroom is: AI agents that join live Google Meet / Teams / Zoom calls as real participants (voice, slides, live demos, research, memory, follow-up emails). Explains how humans invite agents, and how AI assistants can dispatch the demo agent, join a meeting themselves, or send the user's delegate and follow the call.

List Mainroom's built-in agent types (facilitator, timekeeper, sales support, mock interviewer, ...).

Send Mainroom's open demo agent into a live meeting RIGHT NOW. Give it a Google Meet, Microsoft Teams, Zoom, or Webex meeting URL; the agent appears in the meeting lobby within about a minute and a human in the meeting must admit it. It introduces itself, answers questions by voice, presents slides, and can run a live browser demo. Use when your user wants an AI participant in a meeting that is ha

EMBODIMENT: join a live meeting AS YOURSELF (or as a persona you define). This gives an AI agent a meeting body — a named participant with a camera tile and a voice that joins the call, speaks when addressed, presents slides, shows images, and reads/posts meeting chat. You supply the name and the persona instructions (who you are, what you're there to do, what you know); Mainroom supplies the body

DELEGATE: send the user's own stand-in into a live meeting they can't attend. The delegate joins as a named participant, introduces itself as standing in for them, listens, relays their positions from the brief, asks the questions they need answered at natural moments, and hands every decision back to them. Afterwards a report of what they missed lands in their inbox. Needs the user's Mainroom API

FOLLOW A MEETING: what the user's agent (a delegate, or any of their agents) is seeing in a meeting right now, or what it recorded once the call ended — the last lines of transcript, the running summary, answers to the user's questions so far, decisions and commitments, and whether the bot is still waiting in the lobby. Call without a session id to list the user's recent and live sessions. Needs t

HISTORY: list the customer accounts, recurring team meetings, and people that the user's own Mainroom agents have sat in meetings with — with session counts, when they last met, and how many commitments / open questions / risks are still open. Needs the user's Mainroom API key (shown on the History page at https://app.mainroom.ai — they paste it once). Follow with get_relationship_history for the

HISTORY: everything the user's Mainroom agents recorded with one account, team, or person: what is still open (commitments with owners and due dates, unanswered questions, risks), the proposed / approved follow-up actions, and a session-by-session timeline with summaries, decisions, and pre-call briefs. Use it to answer 'where are we with Acme', 'what did we promise them', 'what did the team decid