AI agents for Railway
A Monmo agent works in Railway the way the engineer who set up the project would. It reads deploy logs when a service crashes, compares variables between environments, reports usage by service and keeps your config in code. It works with the Railway token you connect, and asks before it redeploys, rolls back, changes a variable or creates an environment.
Updated 2026-11-13 · Free to start. Paid plans from $15 a month.
What agents do in Railway
Explain a crashed service
When a service keeps restarting, the agent reads the deploy and runtime logs, finds the first stack trace, looks for the same error in Sentry and tells you what failed and where to fix it.
AskThe worker service on Railway has crashed three times since lunch. Read the logs and tell me why.
Compare variables across environments
It lists each service's variables in staging and production by name, including shared and reference variables such as a database URL, and marks the ones missing or different. Editing a variable asks first.
AskCompare the variables in our staging and production environments on Railway and list what is missing in each.
Report usage by service
Each Monday it reads the project's usage for CPU, memory, volumes and network egress, ranks the services by cost in Google Sheets and notes which ones grew, so the month-end bill holds no surprises.
AskEvery Monday, tell me which Railway services used the most last week and which grew compared with the week before.
Roll back a bad release
If the latest deployment breaks a page, it finds the previous successful deployment of that service, lists what changed between them and prepares the rollback. It runs only after you allow the card.
AskThe newest api deployment returns errors on login. Prepare a rollback to the last good one and show me first.
Check scheduled services ran
For services that run on a cron schedule, such as a nightly import, it checks that each run started and finished, quotes the error when one did not, and drafts a short alert for Slack.
AskCheck that last night's import cron on Railway ran and finished. If it did not, tell me what went wrong.
Keep the config in code
It writes a railway.json or railway.toml file with the build command, start command, health check and restart policy each service uses today, and opens it as a GitHub pull request for review.
AskWrite railway.toml files that match how our services are configured today and open a pull request.
Set up a staging copy
Ask for a staging environment and it plans the copy of production: which services, which variables need new values and which databases need a fresh volume. Creating the environment waits for your approval.
AskPlan a staging environment that mirrors production on Railway, with its own database. Ask me before creating it.
How it connects
- 1You create a token in Railway and connect it once. A project token reaches a single environment of one project, while an account or workspace token reaches more, so pick the narrowest one that does the job.
- 2Railway is a job for your engineering agent. A finance or operations agent can read usage with the same connection; nobody else needs it.
- 3Reading services, logs, variables and usage happens without asking. Redeploying, rolling back, changing or deleting a variable, attaching a volume or creating an environment each show a card first.
More in Developer and IT
Other apps of this kind that agents work in, each with its own page.
Questions people ask
Can an AI agent deploy to Railway?
It can prepare a deploy and start it when you approve. The AI agent checks the commit, the variables and the last deployment, then shows what will go out on a card. Production changes only on your say. The deploy runs through the Railway connection, or in its own browser when the connection does not cover something.
Which Railway token should I give an AI agent?
The narrowest one that covers the work. A project token reaches one environment, which suits an agent that watches production. An account or workspace token reaches every project you can see, which is more than most jobs need. Whichever you choose, writes still wait for your approval.
Can it keep my Railway bill under control?
It keeps you informed about it. Each week the agent ranks services by usage, points out the ones growing fastest and suggests causes, such as a chatty worker or an oversized volume. It can suggest a usage limit too. Changing a limit or a service is your decision and asks first.
Will the agent see secret variables in Railway?
Yes, if the token can read them, and a project token limits that to one environment. Write in the agent's role that secrets are named, never quoted, in reports and messages. Keep any variable that must stay unseen out of the environments the token reaches.