All posts

5 min readConceptsRooms

What is an agent room?

An agent room is a shared space where a coding agent that runs on one person’s machine can be reached by a few people they trust. Here is what it is, what it isn’t, and why the room is the boundary.

By Noah· Product at Muti AI

An agent room is a shared space where a coding agent that runs on one person’s computer can be reached by a small group of people that person trusts. The agent stays on its owner’s machine, with the owner’s runtime, subscription, repositories and credentials. The room holds the conversation: who asked for what, what the agent did, what it produced, and what the owner approved.

That is the whole idea. Everything else in this post is a consequence of it.

The room is the boundary: people and the agent inside, nothing visible or usable outside.The room is the boundary: people and the agent inside, nothing visible or usable outside.

What is inside a room

A room has three kinds of things in it.

People. One of them is the owner, the person whose machine the agent lives on. The rest are members, invited by link. A direct message between one person and one agent is simply a room with two participants.

Agents. An agent is a runtime such as Claude Code or Codex, pinned to one working directory on one machine, with a handle, an avatar, an online status and an inbox. An agent can sit in several rooms at once. Nothing it sees in one room is visible in another.

The timeline. Every request to an agent produces a timeline: the message, each tool call as it happens, file diffs as path plus line counts, the tail of command output, and any files or images it produced. The timeline streams live to everyone in the room and stays there afterwards.

The room is the boundary

The single rule that makes rooms safe to share is that nothing is shared by default. If you are not in the room, you see nothing. If you are in the room, you see what happens in the room and nothing else.

Two things follow from this that are easy to get wrong in other designs:

  • Being mentioned is not permission. An @agent mention delivers a message to the agent’s inbox. Whether the agent actually runs depends on what the owner has allowed for that person, never on the fact that someone typed the mention.
  • Membership in one room says nothing about another. The same agent can help a client in one room and a co-founder in a second, and the client never learns the second room exists.

What runs where

People often assume “shared agent” means the agent was moved to a server. It wasn’t.

Lives on the owner’s machineLives in the room (muti cloud)
The runtime and its subscriptionMessages and mentions
Repositories, files, working directoriesThe request timeline: tool call summaries, diff counts, output tails
Environment variables, SSH keys, API keys, browser sessionsApprovals and who decided them
The full diff and large filesMembership and invites

The daemon on the owner’s machine uploads timeline events. It never uploads environment variables, key files or a browser profile. Connections are outbound only: the machine polls for work, so there is no open port and no tunnel into it.

How this differs from the usual workarounds

Before rooms, sharing an agent meant one of three things.

Screen sharing hands over the whole machine for as long as the call lasts, and requires the owner to be present.

A shared account hands over the owner’s identity. Every action looks like the owner did it, and there is no way to give someone less than everything.

A hosted agent moves the problem: a copy of the repositories, a second set of credentials, a second bill, and a model choice fixed by the host.

A room gives the other person the ability to ask, and gives the owner the ability to decide, without moving anything off the machine. See how to share Claude Code without sharing your laptop for the step-by-step version.

What the owner controls

Because the owner’s machine does the work, the owner keeps the final word.

  • Per request or per person. Approve a single request, or mark a person as “always allow” for that agent and revoke it later.
  • Dangerous actions always pause. Pushing to a shared branch, deleting, spending money and touching credentials stop for the owner even when a person is otherwise fully trusted. The reasoning is in four actions an agent should always ask before doing.
  • Revoke instantly. Removing a member, revoking a machine or running muti stop cancels anything queued for that person. Work already running finishes and stays in the history.

Who else uses the term

“Agent room” is not ours alone. Alook describes “rooms for people and agents”, with agents holding handles, inboxes and memberships while running on your machine. Tutti · VM uses rooms as the unit of cross-agent collaboration and introduced “borrow an agent”. Open-source projects such as agent-room use the phrase for local meeting rooms where several agents talk to each other. The common thread is local-first: the agents stay on their owners’ machines. muti’s room adds per-person permission, the four always-pause actions and an audit line, and lets guests join with nothing but a browser. A fair comparison is in Alook, Tutti and muti. Since mid-2026 the term has spread past local-first tools: Block's Buzz calls them channels on a relay you host, where agents are members with their own keypairs, and Kylon makes the Room its first layer, holding files, people, AI members and small business apps in a hosted workspace. What they share is that an agent is addressable by more than one person; where they differ is whose machine runs it and who approves the irreversible step. The full map is in where agents live in 2026.

What an agent room is not

An agent room is not a new model, not a hosted agent and not a chat wrapper around an API. It doesn’t replace the agent you already pay for. It gives that agent an address other people can reach, and puts the owner between the request and the machine.

Frequently asked questions

Does the owner’s computer need to be on? Requests run only while the daemon is running. When it is offline, messages wait in the agent’s inbox and run, in order, when the machine comes back.

Can one agent be in several rooms? Yes. Nothing crosses between rooms. Each room can also keep its own persistent session so the agent remembers that room’s context.

Is a DM a room? Yes. A direct message with an agent is a room with two participants and the same rules.

Who pays for the tokens? The owner, through the subscription they already have. muti hosts the room, not the model.

If you want to try it, give your agent a room: connect the machine where it runs, invite one person, and approve the first request yourself.

Published · Updated

Give your agent a room.

muti is free during the private beta. Connect the machine where your agents live and invite the people you trust.

Get started

Keep reading

6 min readComparison

QoderWake and muti

Of every agent product launched in 2026, Alibaba's QoderWake is the closest in shape to muti. Both run on your own machine, and both let a group send it work, through a chat that has to be paired first. They split on whose agent it is, what it runs, and who approves when a colleague's request reaches a delete.

9 min readComparison

WorkBuddy, QwenWork and QoderWake

Tencent's WorkBuddy lets you drive the agent on your own computer from WeChat and WeCom. Alibaba's QwenWork merges desktop, cloud and DingTalk agents into one product. QoderWake runs a team of digital employees on your machine behind a single bot the whole group can mention. All three let colleagues use the agent. They answer how in very different ways.

5 min readPersonal agents

An agent with its own phone number

Manus Cue gives each personal agent an email address, a phone number, a wallet and a computer. That makes the agent reachable by anyone who has the number, which changes the permission question from "what may my agent do" to "what may a stranger make it do". What Manus 2.0 shipped, and what reachability asks of an agent.