Railway
Best for
One-click deploy for any language/framework — best for long-running agent processes that don't fit serverless constraints
Limitations
Smaller ecosystem than Vercel/Netlify; less mature CDN and edge story; costs can surprise with always-on containers; no built-in AI tooling
Features
Frameworks
SDK Languages
Compliance
Railway
Railway is a cloud platform that deploys any Dockerfile or supported language with minimal configuration. Unlike serverless platforms, Railway runs persistent containers — making it a natural fit for long-running agent processes, background workers, and WebSocket servers.
For AI agent developers, Railway solves the "my agent needs to run for more than 30 seconds" problem that serverless platforms struggle with. Deploy a Python agent, a FastAPI server, or a queue worker and it just runs. The tradeoff is that you're paying for always-on compute rather than per-invocation.