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How is this different from what you already run?

HyperTeams does not replace the tool you use today. Most of them run the work on one machine; HyperTeams is the layer on top that lets you watch many machines and hand work to other people. So the tables below are not scoreboards — they show where the roles diverge.

The four most-compared

Written as "what happens in that situation" rather than as a feature checklist. Each product group has its own table.

Claude Code
Anthropic's agent, in your terminal
Conductor
macOS app that runs agents in parallel
OpenClaw
Open-source personal agent, driven from chat apps
HyperTeams control room
Runs the work on your machine
HyperTeams Connect
Adds team, approval, and records
Where it runs
HyperTeams control room
Your terminal. One session per window.
On your Mac. It is a macOS-only app.
A gateway you host on your laptop or a VPS.
Execution stays on that machine — the control room sits on top rather than taking it over.
It does not touch execution; it receives what the control room reports.
Several jobs at once
HyperTeams control room
You open that many terminal windows or worktrees.
Each agent gets its own git worktree and runs in parallel.
One gateway splits its sessions.
One card per job — hand it five and five run side by side, in five folders.
The control room does this
How far along it is
HyperTeams control room
You keep that window open and watch it.
A central dashboard shows what each agent is doing.
Results arrive in a chat thread — not a list of what is in flight.
Status, a summary of the answer, and an unread marker, all in one list.
The control room does this
If you close the window
HyperTeams control room
The session ends. Keeping it alive means tmux or screen.
Closing the app or letting the Mac sleep stops it.
The gateway is resident, so it keeps going — if that machine stays awake.
Resident, and it records progress: it continues after you close the window, and a tunnel shows it on your phone.
The control room does this
At a set time
HyperTeams control room
You write your own cron entry or script.
No scheduling. A person starts each run.
Recurring runs are set up in configuration.
You pick a time on screen, and a failure notifies you.
The control room does this
Several machines in one place
HyperTeams Connect
Per machine. Conversations and context are tied to that computer.
Within that one Mac. Agents on another computer are invisible.
More computers means more gateways, and more places to look.
It stops at that one machine. It does not know what runs on the next one.
A control room per machine, all of them in one list — including which machine is awake.
When someone else assigns work
HyperTeams Connect
Your account, folders, and terminal are assumed. There is no seat for anyone else.
A single-user desktop app. No accounts, no roles.
Per-channel allowlists decide who may talk to it.
It assumes the owner of the machine. The screen is behind one password.
Accounts and roles, policy per folder and command, and pre-approval per item.
Retracing it later
HyperTeams Connect
Session history stays on that machine.
The output is a git commit and a PR.
Chat logs and notes stay on that machine.
It keeps that machine's run history. There is no notion of an approval.
Who approved what, and when, kept as a policy audit trail.
What it cost
HyperTeams Connect
Visible per session.
Mixed into the usage of the account you attached.
On the bill of the LLM you attached.
It shows cost per job on that machine, with no owner attached.
Attributed to a person and a team, with ceilings.
Price and license
Your existing Claude plan, or an API key.
A macOS app; see their site for pricing.
MIT open source. Free; you pay only the LLM.
One command to install, using the Claude account you already have.
Only the features that cross into a team are metered in credits.
Where it runsHyperTeams control room
  • Claude Code
    Your terminal. One session per window.
  • Conductor
    On your Mac. It is a macOS-only app.
  • OpenClaw
    A gateway you host on your laptop or a VPS.
  • HyperTeams control room
    Execution stays on that machine — the control room sits on top rather than taking it over.
  • HyperTeams Connect
    It does not touch execution; it receives what the control room reports.
Several jobs at onceHyperTeams control room
  • Claude Code
    You open that many terminal windows or worktrees.
  • Conductor
    Each agent gets its own git worktree and runs in parallel.
  • OpenClaw
    One gateway splits its sessions.
  • HyperTeams control room
    One card per job — hand it five and five run side by side, in five folders.
  • HyperTeams Connect
    The control room does this
How far along it isHyperTeams control room
  • Claude Code
    You keep that window open and watch it.
  • Conductor
    A central dashboard shows what each agent is doing.
  • OpenClaw
    Results arrive in a chat thread — not a list of what is in flight.
  • HyperTeams control room
    Status, a summary of the answer, and an unread marker, all in one list.
  • HyperTeams Connect
    The control room does this
If you close the windowHyperTeams control room
  • Claude Code
    The session ends. Keeping it alive means tmux or screen.
  • Conductor
    Closing the app or letting the Mac sleep stops it.
  • OpenClaw
    The gateway is resident, so it keeps going — if that machine stays awake.
  • HyperTeams control room
    Resident, and it records progress: it continues after you close the window, and a tunnel shows it on your phone.
  • HyperTeams Connect
    The control room does this
At a set timeHyperTeams control room
  • Claude Code
    You write your own cron entry or script.
  • Conductor
    No scheduling. A person starts each run.
  • OpenClaw
    Recurring runs are set up in configuration.
  • HyperTeams control room
    You pick a time on screen, and a failure notifies you.
  • HyperTeams Connect
    The control room does this
Several machines in one placeHyperTeams Connect
  • Claude Code
    Per machine. Conversations and context are tied to that computer.
  • Conductor
    Within that one Mac. Agents on another computer are invisible.
  • OpenClaw
    More computers means more gateways, and more places to look.
  • HyperTeams control room
    It stops at that one machine. It does not know what runs on the next one.
  • HyperTeams Connect
    A control room per machine, all of them in one list — including which machine is awake.
When someone else assigns workHyperTeams Connect
  • Claude Code
    Your account, folders, and terminal are assumed. There is no seat for anyone else.
  • Conductor
    A single-user desktop app. No accounts, no roles.
  • OpenClaw
    Per-channel allowlists decide who may talk to it.
  • HyperTeams control room
    It assumes the owner of the machine. The screen is behind one password.
  • HyperTeams Connect
    Accounts and roles, policy per folder and command, and pre-approval per item.
Retracing it laterHyperTeams Connect
  • Claude Code
    Session history stays on that machine.
  • Conductor
    The output is a git commit and a PR.
  • OpenClaw
    Chat logs and notes stay on that machine.
  • HyperTeams control room
    It keeps that machine's run history. There is no notion of an approval.
  • HyperTeams Connect
    Who approved what, and when, kept as a policy audit trail.
What it costHyperTeams Connect
  • Claude Code
    Visible per session.
  • Conductor
    Mixed into the usage of the account you attached.
  • OpenClaw
    On the bill of the LLM you attached.
  • HyperTeams control room
    It shows cost per job on that machine, with no owner attached.
  • HyperTeams Connect
    Attributed to a person and a team, with ceilings.
Price and license
  • Claude Code
    Your existing Claude plan, or an API key.
  • Conductor
    A macOS app; see their site for pricing.
  • OpenClaw
    MIT open source. Free; you pay only the LLM.
  • HyperTeams control room
    One command to install, using the Claude account you already have.
  • HyperTeams Connect
    Only the features that cross into a team are metered in credits.

What the control room does, and what Connect does

HyperTeams is two products. Which of them answers each row above is exactly where the boundary sits.

HyperTeams control room

Runs the work on your machine

A program you install with one command. It assigns work per folder, runs jobs in parallel, and keeps going after you close the window. While you work alone, this is all you need.

The rows it answers
  • Where it runs
  • Several jobs at once
  • How far along it is
  • If you close the window
  • At a set time

HyperTeams Connect

Makes it something others rely on, unattended

It starts paying the moment there is a second machine and a second person: pooling machines into one list, filtering work others assign through approval, keeping an audit trail of what happened, and splitting cost per person.

The rows it answers
  • Several machines in one place
  • When someone else assigns work
  • Retracing it later
  • What it cost

When do you move up a rung?

  1. L1 · Observe

    You watch several machines. The moment there is a second one.

  2. L2 · Share

    The team sees what was asked for. The moment you start sharing one password.

  3. L3 · Delegate

    Others assign work and see the results. This is where approval, policy, and audit earn their place.

By product group

Each page says when to keep using theirs, and how to run both together.

HyperTeams vs Claude Code

Not a choice between them. HyperTeams keeps Claude Code as the engine and sits on top of it.

  • Claude Code
See the full comparison

HyperTeams vs Claude Code orchestrators

All three already do "many agents on one screen." The divergence is that the screen belongs to one computer.

  • Conductor
  • Claude Squad
  • Vibe Kanban
See the full comparison

HyperTeams vs cloud coding agents

Devin, Codex, and Cursor run on their cloud and open a PR. HyperTeams makes what runs on your machine something others can trust.

  • Devin
  • Codex Cloud
  • Cursor
See the full comparison

HyperTeams vs OpenClaw

The boundary is where "who may talk to it" turns into "may this particular run happen."

  • OpenClaw
See the full comparison

HyperTeams vs Hermes Agent

One side makes the agent smarter. The other makes it something other people can rely on.

  • Hermes Agent
See the full comparison

HyperTeams vs managed personal assistants

Manus, Lindy, and OpenHands sell doing it for you. HyperTeams sells a state other people can rely on.

  • Manus
  • Lindy
  • OpenHands
See the full comparison

HyperTeams vs workflow automation

n8n, Zapier, and Make repeat a defined procedure reliably. HyperTeams takes the work whose procedure is not defined.

  • n8n
  • Zapier
  • Make
See the full comparison

When does the layer start paying for itself?

If none of these three is true for you yet, keep what you have.

01

A second computer showed up

There is nowhere to see what is running where. You open a window per machine to check.

02

A second person showed up

You started sharing one dashboard password. Nothing tells you who asked for what.

03

It has to run with nobody watching

A colleague asks you out loud to "run that for me." If it goes wrong, you need a way back.

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