Crewship – Deploy AI agents to production in one command
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,…
Crewship – Deploy AI agents to production in one command launched on February 27, 2026 with 11 votes, #985 of 16,627 launches that month and more than 90% of that year's launches.
In plain words
Crewship is a deployment platform for AI agents built with CrewAI, LangGraph, or LangGraph.js. It simplifies moving agents from local development to production by automating infrastructure setup, scaling, and monitoring through a single command. The platform handles real-time streaming of agent actions, automatic collection of generated artifacts, and automatic scaling for concurrent runs without requiring Docker or Kubernetes configuration.
written from the facts on this page · September 2026
From the sources
The developer-first platform for running AI agent workflows. Deploy your CrewAI, LangGraph, and LangGraph.js agents with a single command.
Deploy CrewAI, LangGraph, and LangGraph.js agents with a single command. Real-time streaming, auto-scaling, and zero infrastructure to manage. Crewship handles the infrastructure so you can focus on building intelligent workflows. No infrastructure setup, no config files. Just `crewship deploy` and your agents are live in seconds. Watch your agents think, decide, and act in real-time with Server-Sent Events. Every step, streamed live. Every file, report, and output your agents create is automatically collected and accessible via API. Isolated environments, encrypted secrets, and API key management. Your credentials never leave your control. Scale from zero to thousands of concurrent agent…from crewship.dev
In the maker’s words, at launch
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…
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