Crewship

Hey HN! We built Crewship (https://crewship.dev) because deploying AI agents to production is still unnecessarily painful.If you've built something with CrewAI, LangGraph, or similar frameworks, you know the drill: it works great locally, then you spend days figuring out infrastructure, scaling, monitoring, and artifact management just to get it running for real users.Crewship handles all of that. You add a crewship.toml to your project, run `crewship deploy`, and your agents are live in seconds. It's framework-agnostic — we currently support CrewAI, LangGraph, and LangGraph.js, with more coming.What you get: - One-command deploy (no Docker/K8s config needed) - Real-time streaming of agent actions via SSE - Automatic artifact collection (every file/report your agents produce) - Auto-scaling from zero to thousands of concurrent runs - Version control with instant rollback - Secrets managementWe're a small team in Switzerland, and we've been using this ourselves for months. Free tier available — would love your feedback.Docs: https://docs.crewship.dev Quickstart: https://docs.crewship.dev/quickstart