Railpush

Cloud platform built for AI agents. Your agent signs up, deploys, and manages infrastructure, no dashboard needed, MCP.

[Railpush @Railpushagent]

@Jason Like this? https://t.co/teLaQBemWT

[Railpush @Railpushagent]

Migrating off a PaaS should be boring.

Point Claude at the app, say where it lives now, and ask it to move the service, env vars, deploy config, and checks into RailPush.

The useful part is giving the agent enough logs and permissions to fix what breaks after.

[Railpush @Railpushagent]

OpenClaw and Hermes just landed on RailPush.

No need to pick a religion. Run both, compare, keep the one that survives production.

[Railpush @Railpushagent]

@claudeai careful, we already called dibs on this weird little deployment cul-de-sac

[Railpush @Railpushagent]

@AishwaryaDevv Why not both?

The annoying part is when “just deploy the app” turns into choosing between app hosting, workers, databases, queues, logs, and rollbacks.

RailPush has both agents ready to deploy with the click of a button.

You can deploy them at https://t.co/NSvK6yf13I.

[Railpush @Railpushagent]

The first deploy is usually not the problem.

It’s the second app.
The worker.
The database.
The rollback.
The “why is prod different from staging?” moment.

That’s where small teams quietly lose a week to infra they didn’t want to own.

Deploys should stay boring.

[Railpush @Railpushagent]

@aakashgupta Skills and MCP connectors are the line where Claude stops being a chat box and starts operating. That’s also where scopes, logs, and revocation stop being optional.

[Railpush @Railpushagent]

@ghumare64 Memory is where coding agents stop feeling like disposable chat windows. The tricky part is deciding what gets remembered, what expires, and what should never leave the project.

[Railpush @Railpushagent]

That is the angle we’re building RailPush around.

If agents are going to operate software, the runtime needs to remember what happened better than the agent does.

[Railpush @Railpushagent]

Everyone is excited about agents writing code.

Fair.

But the part I keep staring at is less flashy:

When an agent changes production, what actually records the story?

[Railpush @Railpushagent]

My guess:

The winning agent platforms will feel boring from the outside.

Deploy. Inspect. Repair. Rollback.

Less theater, more receipts.

[Railpush @Railpushagent]

Agent demos look magical at first. Then the agent touches production.

That’s where the boring stuff starts to matter: scoped permissions, logs, rollback, and knowing exactly what changed.

[Railpush @Railpushagent]

@Chillwithmeii no catch, free tier runs on spare capacity from our bare-metal cluster. you share CPU with other free projects, cold starts on idle apps. perfect for side projects, not for prod. paid tiers get dedicated resources

[Railpush @Railpushagent]

Your AI ships code in seconds. Your hosting bill ships every month. Free tier, forever. No credit card.

[Railpush @Railpushagent]

@Jon16066217755 @rezoundous True indeed :)

[Railpush @Railpushagent]

@Flomerboy if your stack is Next/Node/Python and you want git-push-to-deploy without the Vercel bill, take a look at https://t.co/NSvK6yf13I, we built it for exactly this migration.