Crewship - Deploy AI Agents in Seconds

TL;DR

TL;DR: Crewship is a developer-first platform that deploys CrewAI, LangGraph, and LangGraph.js agents with a single command, handling real-time streaming, auto-scaling, and artifact management so you can focus on building intelligent workflows instead of infrastructure.

Source and Accuracy Notes

• Project page: crewship.dev
• Pricing page: crewship.dev/pricing
• Blog: crewship.dev/blog
• HN launch thread: news.ycombinator.com/item?id=34692177 (114 points)
• Source last checked: 2026-06-17

What Is Crewship?

Crewship is a deployment platform for AI agent frameworks. It handles the infrastructure layer so you can deploy multi-agent systems without managing servers, configuring load balancers, or setting up streaming pipelines.

The platform currently supports three frameworks with live production support:

• CrewAI - Multi-agent orchestration
• LangGraph - Stateful graph-based agents
• LangGraph.js - JavaScript/TypeScript variant

Additional frameworks are on the roadmap: Agno, AutoGen, Pydantic AI, OpenAI Agents, and Mastra.

Key Features

One-Command Deploy

No infrastructure setup, no config files. Install the CLI and deploy:

curl -fsSL crewship.dev/install | bash
crewship deploy

Your agents are live in seconds.

Real-Time Streaming

Watch your agents think, decide, and act in real-time with Server-Sent Events (SSE). Every step, every decision, streamed live to your console or dashboard.

Artifact Management

Every file, report, and output your agents create is automatically collected and accessible via API. No manual file handling or storage configuration.

Auto-Scaling

Scale from zero to thousands of concurrent agent runs automatically. Pay only for what you use. The platform handles horizontal scaling based on your workload.

Version Control

Every deployment is versioned. Roll back instantly, compare outputs, and maintain full audit trails. Useful for debugging agent behavior changes over time.

Secure by Default

Isolated environments, encrypted secrets, and API key management. Your credentials never leave your control.

Pricing

Crewship offers straightforward tiered pricing:

Free Tier ($0/month)

• 1 active deployment
• 10 versions per month
• 30 runs per month
• 6 minute max runtime
• Community support
• Artifacts included

Pro ($25/month)

• 10 deployments included (+$2.50/mo each extra)
• Unlimited versions
• 500 runs per month
• 3 hour max runtime
• Priority support
• Artifacts up to 100MB

Team (Coming soon)

• Everything in Pro
• Team collaboration
• Shared deployments
• Role-based access
• Audit logs

Enterprise (Custom pricing)

• Unlimited deployments
• Custom runtime limits
• Dedicated infrastructure
• SLA guarantee
• Dedicated support
• Custom integrations

Setup Workflow

Step 1: Install the CLI

curl -fsSL crewship.dev/install | bash

Step 2: Navigate to Your Agent Project

cd your-crewai-project

Step 3: Deploy

crewship deploy

That’s it. Your agents are now live with real-time streaming, auto-scaling, and artifact management.

Step 4: Monitor

Access the Crewship console at console.crewship.dev to monitor deployments, view run details, and manage artifacts.

Deeper Analysis

Framework Agnostic Design

Crewship’s framework-agnostic approach means you’re not locked into a single agent framework. If you’re building with CrewAI today and want to experiment with LangGraph tomorrow, the deployment workflow stays the same.

Runs vs Threads

Crewship offers two execution modes:

• Runs - Stateless execution. Each run is independent, no shared state between invocations.
• Threads - Stateful execution. Maintains conversation history and agent state across multiple interactions.

Choose runs for batch processing or one-shot tasks. Choose threads for conversational agents or workflows that need context persistence.

Multiple Deployments, One Config

Crewship supports defining multiple deployments in a single crewship.toml file. This lets you manage a multi-agent system from one repository without juggling separate configuration files.

Practical Evaluation Checklist

Before adopting Crewship, consider:

• [ ] Framework compatibility - Is your agent framework in the supported list? (CrewAI, LangGraph, LangGraph.js are live; others are “coming soon”)
• [ ] Runtime requirements - Does your agent fit within the free tier’s 6-minute limit, or do you need Pro’s 3-hour runtime?
• [ ] Concurrent runs - Free tier allows 1 concurrent run. Pro allows 10. Enterprise is unlimited.
• [ ] Artifact size - Free tier has no stated limit. Pro caps at 100MB. Enterprise is custom.
• [ ] Self-hosting - The FAQ mentions self-hosting as an option, but details aren’t public. Contact them if this is a requirement.
• [ ] Secrets management - Crewship handles encrypted secrets and API keys. Verify this meets your compliance requirements.

Security Notes

• Isolated environments - Each deployment runs in isolation
• Encrypted secrets - API keys and credentials are encrypted at rest
• API key management - Built-in secret management, no hardcoded credentials in your codebase
• Audit trails - Version control provides deployment history and rollback capability

For production use, verify Crewship’s security posture meets your organization’s compliance requirements (SOC 2, HIPAA, etc.). The pricing page doesn’t mention specific certifications.

FAQ

Q: Do I need to manage infrastructure? A: No. Crewship handles all infrastructure, scaling, and monitoring. You deploy with a single command and the platform manages the rest.

Q: Can I self-host Crewship? A: The FAQ mentions self-hosting as an option, but public documentation doesn’t provide details. Contact the Crewship team if self-hosting is a requirement.

Q: How do I handle secrets and API keys? A: Crewship provides encrypted secret management. Your credentials are stored securely and injected into your agent runtime without exposing them in your codebase.

Q: What frameworks are supported? A: CrewAI, LangGraph, and LangGraph.js have live production support. Agno, AutoGen, Pydantic AI, OpenAI Agents, and Mastra are on the roadmap.

Q: Is there a free tier? A: Yes. The free tier includes 1 active deployment, 10 versions per month, 30 runs per month, and a 6-minute max runtime. No credit card required.

Q: How does pricing scale? A: Pro is $25/month for 10 deployments. Each additional deployment is $2.50/month. Runs and versions are unlimited on Pro. Enterprise pricing is custom.

Conclusion

Crewship fills a gap in the AI agent ecosystem: deployment infrastructure. Building multi-agent systems with CrewAI or LangGraph is straightforward, but deploying them to production with streaming, scaling, and monitoring typically requires significant DevOps work.

Crewship abstracts that complexity into a single crewship deploy command. The free tier is generous enough for experimentation and small projects. The $25/month Pro tier is reasonable for production workloads.

If you’re building with CrewAI or LangGraph and want to skip the infrastructure setup, Crewship is worth evaluating. The framework-agnostic design means you’re not locked in, and the roadmap suggests broader framework support is coming.

Next steps:

• Try the free tier: curl -fsSL crewship.dev/install | bash
• Read the blog for deployment guides: crewship.dev/blog
• Check pricing details: crewship.dev/pricing