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Personal AI agents

HyperTeams vs Hermes Agent

Hermes Agent is your own agent that gets smarter as you use it. HyperTeams is a control room that makes the coding agents you already use something several machines and several people can rely on.

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Why HyperTeams over Hermes Agent

Hermes Agent is a self-hosted agent that turns repeated work into skills and builds up memory. HyperTeams is stronger where the direction differs. Instead of raising a new agent, it runs the Claude Code, ChatGPT Codex or Antigravity you already use on the subscription you already pay for, pools machines into one list as they multiply, filters work others assign through per-item approval, and splits cost by person and team. HyperTeams neither replaces Hermes nor drives it. Keep the personal assistant in Hermes and put folder work, and work others assign, in HyperTeams; they sit side by side.

01

The agents you already use, not a new one

HyperTeams SystemRuns the work on your machine
Hermes Agent

Hermes is the agent. You attach a model through a provider such as Nous Portal, OpenRouter, OpenAI or your own endpoint.

HyperTeams System

The control room drives the Claude Code, ChatGPT Codex or Antigravity you already installed, on your Claude or ChatGPT subscription or Google account. No separate developer key.

vs
02

From one machine to several

HyperTeams ConnectMakes it something others rely on, unattended
Hermes Agent

The web dashboard manages the Hermes installation on that machine. More servers means a dashboard per server.

HyperTeams Connect

A control room per machine, all of them in one list, including which machine is awake right now.

vs
03

Who may talk to it vs who may assign work

HyperTeams ConnectMakes it something others rely on, unattended
Hermes Agent

Allowlists and DM pairing let several people message it, and an approval mode screens dangerous commands.

HyperTeams Connect

HyperTeams Connect adds accounts and roles, policy per folder and command, and pre-approval per item for work someone else assigns.

vs
04

When someone else pays

HyperTeams ConnectMakes it something others rely on, unattended
Hermes Agent

Dashboard analytics compute tokens and estimated cost per model from session history, for that one machine.

HyperTeams Connect

Cost attaches to each job and is attributed to a person and a team. You can set ceilings.

vs

HyperTeams vs Hermes Agent

Hermes Agent
Self-hosted agent that builds memory and skills
HyperTeams System
Runs the work on your machine
HyperTeams Connect
Adds team, approval, and records
Where it runs
HyperTeams System
Installed on your machine or a VPS; also runs on Docker, SSH, Modal or Daytona.
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 System
Spawns isolated subagents for parallel workstreams.
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 System
Chat in the terminal or a messenger; a local web dashboard lists sessions.
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 System
The gateway is resident. On Modal or Daytona it hibernates when idle and wakes on demand.
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 System
A built-in cron scheduler that delivers results to any messenger.
You pick a time on screen, and a failure notifies you.
The control room does this
Several machines in one place
HyperTeams Connect
The dashboard manages the one installation on that machine.
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
Allowlists and DM pairing decide who may message it. Risky commands ask first.
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
Sessions stay searchable on that machine, alongside memory and skills.
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
Dashboard analytics estimate tokens and cost per model.
It shows cost per job on that machine, with no owner attached.
Attributed to a person and a team, with ceilings.
Price and license
MIT open source. You pay for the model and the server.
One command to install, using the Claude or ChatGPT account you already have.
Only the features that cross into a team are metered in credits.
Where it runsHyperTeams System
  • Hermes Agent
    Installed on your machine or a VPS; also runs on Docker, SSH, Modal or Daytona.
  • HyperTeams System
    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 System
  • Hermes Agent
    Spawns isolated subagents for parallel workstreams.
  • HyperTeams System
    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 System
  • Hermes Agent
    Chat in the terminal or a messenger; a local web dashboard lists sessions.
  • HyperTeams System
    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 System
  • Hermes Agent
    The gateway is resident. On Modal or Daytona it hibernates when idle and wakes on demand.
  • HyperTeams System
    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 System
  • Hermes Agent
    A built-in cron scheduler that delivers results to any messenger.
  • HyperTeams System
    You pick a time on screen, and a failure notifies you.
  • HyperTeams Connect
    The control room does this
Several machines in one placeHyperTeams Connect
  • Hermes Agent
    The dashboard manages the one installation on that machine.
  • HyperTeams System
    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
  • Hermes Agent
    Allowlists and DM pairing decide who may message it. Risky commands ask first.
  • HyperTeams System
    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
  • Hermes Agent
    Sessions stay searchable on that machine, alongside memory and skills.
  • HyperTeams System
    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
  • Hermes Agent
    Dashboard analytics estimate tokens and cost per model.
  • HyperTeams System
    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
  • Hermes Agent
    MIT open source. You pay for the model and the server.
  • HyperTeams System
    One command to install, using the Claude or ChatGPT account you already have.
  • HyperTeams Connect
    Only the features that cross into a team are metered in credits.

Checked against each product's official documentation as of 2026-09-23. Their products change, and when they do this table becomes wrong — tell us and we will fix it.

Hermes Agent docs

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 System

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.

Running both

You don't remove or migrate what you use today. Here is how to layer HyperTeams on top of it.

  1. 1

    Leave Hermes running

    The server stays up, and the memory and skills you built stay where they are.

  2. 2

    Install the control room with one command

    Paste one command on the machine that will do the work. It drives the Claude Code, ChatGPT Codex or Antigravity you have, on the subscription you already pay for.

  3. 3

    Split the front doors

    Keep the assistant you message in Hermes. Send folder work, and work colleagues or customers assign, through HyperTeams. Neither drives the other; they sit side by side.

Which one should you pick?

When to just use Hermes Agent

  • When you want it to improve as you go

    After complex tasks it writes its own skills and refines them with use. For slowly training a personal assistant, it is clearly the better choice.

  • When you cannot leave your computer on

    It runs on a cheap VPS, in Docker, or on serverless backends like Modal and Daytona that hibernate when idle and wake on demand.

  • When you want to pick the model and change the code

    MIT open source, and it works with many model providers. Nothing to pay beyond the model and the server.

When HyperTeams is the answer

  • When you hand off several coding jobs at once

    HyperTeams System

    Register your folders and give out several jobs together. Each job gets a card, and a queued instruction starts as soon as the one before it ends.

  • When you open, fix and share the result

    HyperTeams System

    Edit the result right there, with a history of what changed and when. Or publish it as a link and put a password on it.

  • When you have to retrace it later

    HyperTeams Connect

    Chat history does not show who allowed what. HyperTeams Connect keeps who approved what, and when, as a policy audit trail.

  • When there is more than one server

    HyperTeams Connect

    Each Hermes installation stands alone. HyperTeams puts a control room on each machine and pools them into one list.

A layer, not a replacement

Put it on top of what you already run

One command to install. Nothing you use today gets removed or moved — you only add the command screen above it.

curl -fsSL https://hyperteams.net/install.sh | bash

Keep reading

  • HyperTeams vs Claude Code
  • HyperTeams vs OpenAI Codex
  • HyperTeams vs Gemini CLI
  • HyperTeams vs Cline
  • HyperTeams vs OpenHands
  • HyperTeams vs Conductor
  • HyperTeams vs Claude Squad
  • HyperTeams vs Vibe Kanban
  • HyperTeams vs Orca
  • HyperTeams vs Paseo
  • HyperTeams vs tmux
  • HyperTeams vs Cursor
  • HyperTeams vs GitHub Copilot
  • HyperTeams vs Devin
  • HyperTeams vs OpenClaw
  • HyperTeams vs Manus
  • HyperTeams vs Lindy
  • HyperTeams vs NotebookLM
  • HyperTeams vs n8n
  • HyperTeams vs Zapier
  • HyperTeams vs Make
All comparisons

Common questions

Hermes Agent is an MIT-licensed open-source agent from Nous Research. You install it on your own machine or a VPS and use it from the terminal or messengers; it builds memory and skills as you use it, and supports cron scheduling and subagents.

Not as a personal assistant you train. HyperTeams runs the coding agents you already use, several at a time, and adds one list, approval, an audit trail and cost attribution as machines and people multiply. For handing off work and sharing it with others, HyperTeams is the better fit, and you can run both.

Yes. Neither replaces the other; they sit side by side. Keep the personal assistant and messenger front door in Hermes, and put folder work and work others assign in HyperTeams.

The control room installs with one command and uses the Claude or ChatGPT subscription you already have. Only the HyperTeams Connect features that cross into a team are metered in credits. If everything has to be open source, Hermes is the right pick.

With the control room, instructions and results stay on your computer; the only thing leaving it is the question going to the AI you picked. Hermes is self-hosted too, so on this point the two agree.

HyperTeams

AI workspace that gets smarter as you use it. Build AI agents, connect your tools, and collaborate with your team in real-time.

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Compare

  • All comparisons →
  • vs Claude Code
  • vs OpenAI Codex
  • vs Gemini CLI
  • vs Cline
  • vs OpenHands
  • vs Conductor
  • vs Claude Squad
  • vs Vibe Kanban
  • vs Orca
  • vs Paseo
  • vs tmux
  • vs Cursor
  • vs GitHub Copilot
  • vs Devin
  • vs OpenClaw
  • vs Hermes Agent
  • vs Manus
  • vs Lindy
  • vs NotebookLM
  • vs n8n
  • vs Zapier
  • vs Make

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