Persistent AI sandboxes

A persistent computer for the agents you already have.

Millyard gives your agents a workspace that's still there tomorrow — a filesystem, a shell, and a schedule. Connect Claude, ChatGPT, Codex, or anything that speaks MCP. What they do with it is up to you.

Your agents start from nothing every time

Every session, your agent wakes up in a room that was cleared out after the last one. The repo it cloned, the tools it installed, the notes it left itself — gone. You cover the difference by re-explaining, re-uploading, and pasting context back in.

Millyard is the room still standing. Same files, same installed tools, same work in progress, whenever the agent comes back to it.

What your agent gets

Not a bigger context window. An actual computer — one that sleeps between sessions and picks up where it left off.

A filesystem that persists

Work an agent does today is still on disk next week. Build on Tuesday, revise on Friday, come back to it next month and nothing has been reset.

A real shell

Agents get a command line, not a text box. They install what they need, run what they build, and keep the results — including the things they installed.

A schedule

Work that runs when nobody's watching. Every weekday at nine, every time the repo changes — without a cron box of your own to maintain.

A workspace, not a scratch directory

Files, jobs, and history live in one place that belongs to the work. No hunting through transcripts to find where the output went.

Four ways in

Have the same files everywhere you chat

You explain your project to Claude on your laptop, then explain it again to ChatGPT on your phone. Connect Millyard once and they're all working from the same filesystem — the notes, the data, the half-finished script, still there.
Give your coding agent somewhere to keep things

Connect Claude Code or Codex over MCP and it gets a durable store of project documentation, code, and whatever it worked out last time — instead of a blank slate and a long explanation.
Give another system a pair of hands

Wire Millyard into an agent or service you already run and extend what it can do. Batch-convert the images the moment they land in the repo. Run a full code review in GitHub, triggered by a coding agent that couldn't run one itself.
Let it work while you're gone

Schedule a job and leave. It runs in the same workspace, against the same files, and what it produces is there when you get back.

The difference, in one exchange

The same question, six weeks after the work was done. On the left, the agent has no computer. On the right, it has the one it used last time.

Without a workspace

> the deploy script we worked out in June — still around?

I don't have access to files from previous
conversations. If you paste the script, I can
pick up where we left off.

With Millyard

> the deploy script we worked out in June — still around?

millyard · read ops/deploy.sh
millyard · read ops/notes.md

Yes — ops/deploy.sh, untouched since June 14,
along with the rollback notes I wrote after it
failed the first time. Want me to run it?

Your files, not your AI vendor's

Everything your agents build lives in a workspace you own. Switch models, switch tools, switch vendors — the files stay where they are, and whatever you run next connects to the same place.

Workspaces are free. You pay for the hours they run.

Make as many as the work needs — one per project, one per agent, one for a weekend experiment. A workspace sitting still costs nothing. You pay for the compute hours your agents actually use and the files they keep, pooled across everything you run.

Be first in line

Millyard is in private development. Join the waitlist and we'll email you when early access opens.