Vyre / Compare / ChatGPT for teams

AI assistants.

Vyre and ChatGPT for teams.

ChatGPT for teams: a shared ChatGPT workspace for a team. Vyre works with it and does not replace it.

Who it is for, and what it does well

ChatGPT for teams

Teams that want OpenAI’s assistant with shared workspace controls.

  • OpenAI’s models and features. The people who build the model build the assistant.
  • Nothing to run. Sign up and invite the team.
  • Polished apps. Web, desktop and phone.

Vyre

The agentic command center for AI-native teams: people and agents work in one Space on a server you own.

Industry-neutral. You shape the records, and Flows, Playbooks and a Gate run the work.

Works with Vyre.

How Vyre connects to ChatGPT for teams today.

Today

OpenAI publishes an API, and Vyre runs Codex through your own sign-in or key. A person adds a Connection in the Vault that declares the host, how the key is sent and which operations read, draft, change, send, spend or delete. A Flow then calls the service from a web step, or a custom module wraps it.

Where the vendor publishes an MCP server, a person can add it for agents to use.

Coming in 0.5.2

A packaged Integration, so the Connection and its operations arrive ready-made.

Vyre can be extended by integrating your Zoho, QuickBooks, RingCentral and the rest of your software stack*, ChatGPT for teams included.

*Where the vendor provides an API.

Where Vyre fits.

What Vyre does around it.

Vyre does not replace ChatGPT for teams. These are the parts of the work Vyre does around it.

01

Chat

Chats where people and agents from any model take part together.

02

Agents

Agents with a role and a reach, taking tasks.

03

Records

The records, tasks and files the chat is about, in the same Space.

Keep ChatGPT for thinking and drafting if your team likes it. Vyre uses your own accounts as models and is where the work happens.

Why that helps.

What a team gets from it.

The assistant answers. In Vyre the agent also acts on the records, with a yes before anything leaves.

  • One place for people and agentsPeople and agents are members of the same Space. They share the records, tasks, files and chat, so nobody carries data from one tool to the next.
  • Agents do the workAn agent takes the task and finishes it, hands it on or marks it stuck with a reason. A person is not moving data between tools by hand.
  • Every outward action approvedAn email, a payment, a deletion or a published page waits at the Gate until a person has read the exact words and said yes.
  • Data on your own serverRecords, files and the history of every decision stay on a server you own. Sealed fields show an agent a placeholder.

Side by side

ChatGPT for teams compared with Vyre, one row for each question a buyer asks
QuestionChatGPT for teamsVyre
What it isA shared ChatGPT workspace for a team.A shared working layer for people and agents: records, tasks, Flows, documents, sites and a Gate.
Where it runsHosted by the vendor.On a server you own.
Connecting to the otherOpenAI publishes an API, and Vyre runs Codex through your own sign-in or key.A Connection in the Vault and a Flow web step or custom module. Coming in 0.5.2: a packaged Integration.
Parts of the job in VyreSet by the product.Chat, Agents and Records.
Outward actionsSet by how the product is configured.Held at the Gate until a person approves the exact words.

The left column comes from the product’s public documentation or describes the kind of product. Where it differs, the vendor’s own documentation is the one to trust.

Questions people ask

Does Vyre replace ChatGPT for teams?

No. Keep ChatGPT for thinking and drafting if your team likes it. Vyre uses your own accounts as models and is where the work happens.

How does Vyre work with ChatGPT for teams?

OpenAI publishes an API, and Vyre runs Codex through your own sign-in or key. In Vyre, a person adds a Connection in the Vault that declares the host, how the key is sent and which operations read, draft, change, send, spend or delete. A Flow then calls the service from a web step, or a custom module wraps it. Coming in 0.5.2: a packaged Integration, so the Connection and its operations arrive ready-made. Integrations work where the vendor provides an API.