AI ToolsA few weeks1 evidence point

Multiplayer AI Sessions

A shared URL for a running agent, so a team can watch a long task, correct it, and hand it between them.

$20–$100 per customer, per month

Overview

What this is

A collaboration layer over agent sessions: open a link and several people can watch an agent work a long-running task in real time, step in to correct or steer it, and hand control to a teammate without losing the thread. Think of it as the shared-document moment for AI work — the point where an agent run stops being one person's private terminal and becomes something a team does together, with presence, comments and a clean handoff.

The problem it solves

Agent runs today are single-player. One person kicks off a long task and everyone else learns how it went from a read-only transcript after the fact — too late to catch the wrong turn on step three, and impossible to split across a shift or a timezone. For any task worth supervising, that is exactly the wrong shape: the people who could correct it cannot see it while it is happening.

Why now

Agents are now trusted with tasks long enough that supervising them is a real job — and long enough that no one person wants to babysit the whole run. Y Combinator called this out as a Fall 2026 Request for Startups: agent sessions with a shared URL so several people can watch, correct and pass a task between them, where today the best you can do is send a transcript.

The evidence

  • Y Combinator's Fall 2026 Requests for Startups asks for "Multiplayer AI" — agent sessions with a shared URL so five people can watch a long-running task, correct it, and hand it between them, noting that today the best you can do is send a read-only transcript.

    Y Combinator — Requests for Startups (Fall 2026) →

What to watch out for

The hard part is not the video-call-style presence, it is shared control — two people steering one agent needs a clear model of who has the wheel, or you get chaos and clobbered work. You are also partly at the mercy of whichever agent runtimes you wrap; design to sit on top of several rather than betting the product on one.

A sensible starting stack

An agent framework, A realtime sync layer (WebSockets / CRDT), Any web stack, Postgres

Keywords: ai agents, collaboration, realtime, multiplayer, team tools, agent supervision