Crewship
Deploy AI agents to production in one command
Details
- External ID
- 47180745
- Source
- HN
- Company
- —
- Product
- Crewship
- Website domain
- crewship.dev
- Launched
- Feb. 27, 2026
- Cohort
- —
- Upvotes
- 11
- Upvotes percentile
- 0.5707547169811321
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Description
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
Enrichment
- Theme
- AI agent frameworks and developer tools
- Vertical
- Horizontal
- Function
- Agent / copilot
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- deploy ai agents to production with one command
- Manually corrected
- False
Could you build this?
Partial While an agent runner CLI and dashboard can be vibe-coded, maintaining an auto-scaling, multi-tenant cloud container runtime with isolated execution and real-time SSE streaming requires serious cloud infrastructure design.
What it would actually take: A production implementation requires a multi-tenant orchestration layer (Kubernetes, AWS ECS, or Nomad) with microVM sandboxing (such as Firecracker) to safely run untrusted Python/JS agent code. It also needs robust ingress routing, distributed secrets management (Vault/AWS Secrets Manager), and auto-scaling workers capable of streaming long-lived Server-Sent Events (SSE). Requires senior DevOps and cloud infrastructure engineering.
Discussion
3 comments analyzed.
Concerns raised: No contact information available on website
Competitors
Other products that read as similar to this one — 391 launches clear the similarity bar, closest 8 shown.
Attention rank: #197 of 392 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 115 days after the earliest competitor.
- AgentRow · ph · 2026-09-25 · 2 upvotes · similarity 0.51
- Maritime, a platform for running AI agents for $1 a month · hn · 2026-08-18 · 8 upvotes · similarity 0.50
- HelmDeck · ph · 2026-09-27 · 1 upvotes · similarity 0.48
- Ink · hn · 2026-03-11 · 32 upvotes · similarity 0.47
- Running AI agents across environments needs a proper solution · hn · 2026-03-24 · 8 upvotes · similarity 0.47
- Plane Agents · ph · 2026-09-22 · 117 upvotes · similarity 0.46
- AI Agent Orchestration Starter Kit · ph · 2026-09-09 · 2 upvotes · similarity 0.45
- Sim · hn · 2025-12-11 · 240 upvotes · similarity 0.45
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a agent / copilot tool for Agriculture yet.