After the release
Maya Okafor, backend engineer at Acme Ltd, asked whether the last deploy of the API service succeeded. Memtro found the service in production and showed the newest deployment as FAILED, with the one before it SUCCESS and its URL.
Did the last Railway deploy of the API service succeed?
Railway hosts your apps and services. Memtro reads your projects with their services and environments, and the recent deployments of a service with status and URL. Deployment logs are never read. When asked, and once an administrator has granted the action by name, it can deploy a service or a chosen commit, which starts a build and billable compute, redeploy, restart, roll back, stop or cancel deployments, create services and projects, change service settings, which can change what is billed, and permanently delete a service with its deployments. Railway tokens have no scopes, so use one made for Memtro.
Ask in plain English from chat, your editor, a scheduled job or your own agent. The model picks the right Railway tool, reads what it needs, and answers with the source cited.
These tools change something in Railway. The model is told to use them only when you ask for exactly that, and an administrator grants each one by name to the teams that may use it; a personal connection acts only after its owner allows it.
Turn events on in the connection's Events tab on the Connections page, then add the address it shows as a webhook in Railway, choosing the same kinds; the tab shows Railway's own steps. Each event can start a job, with the event as its input. Railway sends a secret with every delivery, and one without it is refused.
Events and webhooksOnce Railway is connected, these are the kinds of things people ask. Plain questions, no syntax. If the answer lives partly in another system you have connected, Memtro looks there too.
Did the last deploy of the API service succeed?
Which services are in the billing project?
Has the worker service crashed in production this week?
What URL is the staging web service on?
Roll the API service in production back to the previous deployment
Maya Okafor, backend engineer at Acme Ltd, asked whether the last deploy of the API service succeeded. Memtro found the service in production and showed the newest deployment as FAILED, with the one before it SUCCESS and its URL.
Dan Fletcher, CTO at Northwind, saw the worker service crashing after a release and asked Memtro to roll it back. Memtro found the last SUCCESS deployment in production and rolled the service back to it on Railway, where it became the running deployment again.
The teams that lean on Railway most, a question each of them asks, and what they connect beside it.
A record in Railway is rarely the whole story. Connect the systems that hold the rest and Memtro checks them together, then remembers what it learned so the next question starts further along.
Using something else for the same job, or both? Each connector has its own tools; connect as many as you like.
In railway.com, open Account settings → Tokens and create a token made for Memtro. Tokens have no scopes and can do anything their owner can. Project tokens are not supported.
Choose a workspace in the dropdown for a workspace token, or No workspace for an account token, then create and copy it.
In Memtro, open Connections → Railway and paste it as Workspace or account token. For a workspace token, add the Workspace ID from its settings page.
Ask: did the last deploy of the API service succeed?
Chat in the dashboard, the OpenAI-compatible API, scheduled jobs, and any MCP client: Claude Code, OpenCode, Cursor, Claude Desktop. The Railway tools are the same everywhere.
Only when you ask, and only what it has been granted: deploy a service in an environment, optionally at a given commit (starts a build and billable compute); redeploy a service's latest deployment with its existing commit; restart a running deployment without rebuilding (brief downtime); roll a service back to an earlier deployment; stop a running deployment (the service goes offline); cancel a deployment that is building or queued; redeploy one specific earlier deployment; create a service in a project, empty or from a GitHub repo or Docker image; change a service's build and deploy settings in one environment (commands, replicas, region, cron, healthcheck); rename a service or change its icon; delete a service and all its deployments (permanent); create an empty project; rename or re-describe a project. Every other tool reads, searches or lists. The Connections page labels the tools that act, an administrator grants each one by name to the teams that may use it, and a personal connection acts only after its owner allows it.
A personal connection serves only your own requests. A shared connection serves the organisation: everyone, or only the teams an admin chooses. Admins can always add shared connections; other members need the permission.
Credentials are encrypted at rest. Tool results are cached briefly so agent loops do not repeat identical calls, and the facts the model extracts are saved to your organisation's memory with provenance (system, record and link) so they can be checked and superseded.
Workspace or account token and optional workspace ID. In railway.com, open Account settings → Tokens and create a token made for Memtro. Tokens have no scopes and can do anything their owner can. Project tokens are not supported.
Yes. Turn events on in the connection's Events tab on the Connections page, then add the address it shows as a webhook in Railway, choosing the same kinds; the tab shows Railway's own steps. A job set to start "When an event arrives" then runs once for each matching event, with the event as its input. The run treats the event as outside data, never as instructions, and anything the run remembers is kept as unverified.
Seven-day free trial, then one monthly price per organisation. Connectors, jobs and memory are never metered.
Sign in, add a provider key, create an API key and point your tools at Memtro. It takes about five minutes.
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