DevOps for AI agents

Your AI agents, deployed.

Zero YAML. Zero config files. Just @mention in Discord.

Infrastructure shouldn't be your full-time job.

~/my-agent

$ docker build # step 1 of 47

ERROR: permission denied while trying to connect to the Docker daemon socket

$ kubectl apply -f deployment.yaml

error: unable to recognize: no matches for kind "Deployment"

$ export OPENAI_API_KEY=... # oh wait, which env?

... 3 hours later ...

> agent still not running

You built an AI agent. Now you're drowning in Docker, CI pipelines, secrets management, and deploy scripts โ€” before a single user sees your work. Every team reinvents the same infra wheel. It's boring, error-prone, and it steals time from what matters.

Three steps. That's it.

No dashboards to learn. No CLI to memorize.

01

@mention menot.you

Type what you need in any Discord forum post. Deploy, debug, review, test โ€” in plain English.

02

We handle the rest

Repo connected. Environment spun up. Agent running. Zero config, zero YAML, zero waiting.

03

See the result

Real-time progress in Discord. Logs, metrics, and a green checkmark when the job is done.

Built for engineers who ship.

Early access Active teams
Claude ยท Codex ยท Gemini Supported agents
0 Config files required

"I went from "I have an agent" to "my agent is deployed and running in CI" in under ten minutes. I didn't touch a single config file."

Beta tester Indie developer

"This is what I wanted Heroku to become. One @mention, everything just works. Finally."

Beta tester Staff engineer