You Open Different Chats For Research, Writing, Code, And Review.
THE PROBLEM

AI Does The Work,You Still Manage It.
You Open Different Chats For Research, Writing, Code, And Review.
You Copy Context Between Them.
You Repeat The Same Brief Again And Again.
You Decide Who Does What, Write Every Prompt, And Stitch The Results Together Yourself.
HOW IT WORKS
Argo isn't another ChatBox. It's a Desktop Workspace Where One Main Agent Runs a Team Of Specialists. All in One Thread UI Like a Design Office.
WHAT ARGO IS
Argo isn't another ChatBox. It's a Desktop Workspace Where One Main Agent Runs a Team Of Specialists. All in One Thread UI Like a Design Office.
Mac & Windows. A Group Chat For You And Your All Team - No Terminal, No Config.
You Only Deal With Argo. It Delegates, Coordinates, And Reports Back.
Codex Helps Code Pages. Sora, Tools, And Memory. They Reply Only When Their Tasks Make Sense.
Runs On Your Machine. Cloud Calls Come In, But Argo Keeps Your Files And Flow Central.
WHAT YOU GET
PRICING
Argo Always Runs On Your Machine. Start Free With Your Own Claude
Or GPT Key - Or Drop In An Argo Key And Pay Only For The Tokens Your Team Of Agents Burns.
Free
Provide Your Own Token
$0 / Free Forever
Pro
Most PopularNo Configuration Required
$20 / Month
Plus
High-Frequency Use More Parallel Tasks
$100 / Month
Max
Priority For Teams
$200 / Month
* Token rates below are grounded in June 2026 API prices but remain placeholders - confirm your negotiated rates before launch
FAQs
Everything You Need To Know Before Using Crewargo For Your Product Website Or Product Operations.
No. You can start with your own Claude or GPT key. Paid routing is only for teams that want Crewargo to manage tokens inside the app.
No. You can bring your own subscription or use the in-app token route when it becomes available.
Yes for local work. Crewargo is designed as a desktop workspace, so your machine remains the center of the agent team.
Your workspace stays on your computer. Only the prompts and context you choose to send are passed to connected model providers.
Windows and macOS are the first targets. Linux support can follow as the desktop beta expands.
Start with the desktop app, connect the model providers your team already uses, and then invite teammates into the same agent workflow.
Start The Agents And They Share The Work. We Make The Task The Master.