The teammate that
joins your calls
Your agent hears, sees, and answers in about a second — then does the follow-ups on your own tools while you keep talking.
Answers at speaking pace — about a second
Reads cameras, slides, and shared screens
Files issues and writes notes over MCP
Telegram today; Google Meet on the same bridge
A full participant, not a transcript bot
Everything ships in one agent — voice, vision, and hands that reach your tools.
Answers at speaking pace
A tuned voice pipeline — local turn detection, speculative generation, streaming speech — so replies land in about a second, not an awkward five.
Sees what you see
Point a camera or share a screen and your agent reads it: slides, whiteboards, that error message you are squinting at.
Acts on your tools
Connect MCP servers and the agent files issues, writes meeting minutes, and looks things up mid-call — on your accounts, with your permission.
Shows, not tells
Ask for a page and the agent shares its own screen — a live browser it drives for the room, docs and demos included.
Bring your own brain
The mind is swappable: OpenAI out of the box, or wire in your own agent behind the same voice, vision, and tools.
Meets you where you talk
Telegram calls today; Google Meet next, with Zoom and Teams on the same bridge pattern. One agent, every room.
Three steps to a working teammate
Connect your tools
Point LlamaCalls at what your team already uses — Notion, GitHub, Linear, or your own app. Any MCP server plugs in with one line of config.
Bring it on the call
Ring your agent on Telegram or invite it into the meeting. It joins like any other participant — voice, video, even screen share.
It listens — and acts
Ask for minutes, an issue, a lookup. Your agent answers out loud in about a second and runs the follow-ups while the conversation keeps moving.
Put LlamaCalls in your next call
Early access is rolling out now — tell us where your team talks and what it should be able to do.