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Tools⚙️ Developer InfrastructureCrewship
Crewship

Crewship

Freemium

Deploy AI agents as production APIs with one CLI command.

By Tanmay Verma, Founder · Last verified 04 Jul 2026

0 views
Added 7d ago
77/100Safe Bet
Visit Website

In short

Crewship — Deploy AI agents as production APIs with one CLI command. Best for AI engineers deploying multi-agent systems to production, Teams shipping CrewAI agents as scalable APIs, Developers wanting zero-infrastructure agent deployment. Free to start; paid plans from $25/mo.

Compared withvs Presto Voicevs Spider Cloudvs Temporal Ai

Is Crewship actually worth it?

Live

See what real users actually say. We scan live discussions, reviews and complaints across the web and hand you an honest verdict — in under a minute.

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Editorial Verdict

Best for
AI engineers deploying multi-agent systems to productionTeams shipping CrewAI agents as scalable APIsDevelopers wanting zero-infrastructure agent deploymentOrganizations needing auto-scaling agent APIs
Not ideal for
Non-developers looking for a no-code agent builderProjects requiring on-premise or self-hosted infrastructureHigh-volume use cases exceeding free tier limits without budgetTeams needing collaboration features before Team plan is GA

Crewship fills a real gap: one-command agent deployment. Free tier is generous for tinkerers; Pro is affordable for small teams. If you already use CrewAI or LangGraph, it's worth trying, but check runtime limits and future framework support.

Last verified: July 2026

What's new in Crewship

Checked 5 days ago

Across the latest 4 updates: 2 feature updates and 2 launches.

FeatureBlog·Feb 24Newest

Runs vs. Threads: When to Use Which

Crewship explains difference between stateless runs and stateful threads for AI crew execution.

FeatureBlog·Feb 22

Multiple Deployments, One Config File

Crewship now supports defining multiple deployments in a single crewship.toml.

LaunchBlog·Jan 31

How to Deploy LangGraph to Production

Guide covering stateful graph-based agents deployment using Crewship.

LaunchBlog·Jan 27

How to Deploy CrewAI to Production

Step-by-step guide for deploying CrewAI agents to production with Crewship.

What independent users actually report about Crewship

We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.

61 mentions across 4 sources (Hacker News, YouTube, Product Hunt, Bluesky).

28% positive72% critical
Recurring strengths
  • +One-command deploy via CLI simplifies infrastructure setup dramatically.
  • +Framework-agnostic: supports CrewAI, LangGraph, LangGraph.js out of the box.
  • +Free tier allows zero-cost experimentation with 30 runs per month.
  • +Built-in real-time streaming with SSE for monitoring agent executions.
  • +Automatic artifact management and version control with rollback capability.
Recurring frustrations
  • −Almost no community feedback exists to validate the tool's reliability.
  • −Missing contact details on the website, raising support concerns.
  • −Data privacy and security documentation appears lacking per user comments.
  • −No pricing transparency for team plan beyond vague 'forthcoming' label.
  • −No integrations listed, limiting extensibility compared to alternatives.
Patterns worth knowing
Ease of deployment praised but unproven in practice
Seen on Hacker News, Product Hunt
Lack of community validation and support channels
Seen on Hacker News, Product Hunt
Data privacy and security questions
Seen on Product Hunt
Learning curve
beginnerProductive in ~5 minutes
Hidden costs people mention
  • • Runtime limit of 3 hours on Pro may require higher tier for long jobs.
  • • No mention of overage pricing for runs beyond monthly quota.

Viability Score

77/100
Safe Bet

How likely is Crewship to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.

momentum
55
funding runway
80
website health
90
wrapper dependency
100

Last calculated: July 2026

How we score →

Key Features

  • One-command deploy via CLI
  • Real-time streaming with SSE
  • Automatic artifact management
  • Version control with rollback
  • Auto-scaling from zero
  • Detailed execution traces
  • Webhooks (incoming/outgoing, HMAC-SHA256)
  • Structured data tables with filters
  • Slack chatbot integration
  • Multi-turn threads with persistent state
  • Secret management and encrypted API keys
  • Isolated runtime environments
  • Dashboard monitoring runs and deployments
  • Support for stateless runs and stateful threads
  • Multiple deployments per config file

About Crewship

FreemiumIntermediateAPI availableCLI · API · Web

Crewship is a developer-first platform for deploying AI agent workflows as production APIs. It eliminates infrastructure overhead so teams can focus on building agent logic. With a single CLI command, users deploy agents built with CrewAI, LangGraph, or LangGraph.js, and automatically get real-time streaming, artifact management, version control, and auto-scaling. The platform targets AI engineers and teams shipping multi-agent systems. It works by installing the CLI, writing a simple config file, and running `crewship deploy`. The service handles containerization, scaling, secrets management, and monitoring via a web console. Crewship supports stateless runs and stateful threads with persistent context. Key features include a free tier for experimentation (1 deployment, 30 runs/month), a $25/month Pro plan (10 deployments, 500 runs, 3-hour runtime), and a forthcoming Team plan. The console provides dashboard, deployment, run details, and schedules views. Crewship also offers webhooks (incoming/outgoing, HMAC-SHA256 signed), structured data tables, and a Slack chatbot for interaction. What makes Crewship different is its framework-agnostic approach, one-command deployment, and built-in observability. It competes with CrewAI AMP and LangSmith by offering simpler setup and transparent pricing. The free tier lets developers experiment, while paid plans unlock higher limits and team features.

Behind the Verdict

Crewship is built for developers who want to deploy multi-agent systems without wrestling with Kubernetes or AWS setup. The one-command deploy genuinely works — you write a config file and run `crewship deploy`, and your agent is live with streaming, versioning, and auto-scaling. This is a step up from manual cloud deployments and a simpler alternative to CrewAI AMP. When to pick it: If you're using CrewAI or LangGraph and need a production API endpoint fast, Crewship saves hours of DevOps work. The real-time streaming lets you monitor agent thinking in flight, which is critical for debugging. Multi-turn threads with persistent state are also a strong feature for conversational agents. When to pass: If your use case exceeds the free tier's 30 runs/month or 6-minute runtime, you'll need to budget for Pro. Team collaboration features (shared deployments, role-based access) are still "Coming soon," so larger teams may need to wait. High-volume production workloads may hit the 500 runs/month ceiling on Pro, though you can buy additional deployments. Comparison to alternatives: Compared to LangSmith, Crewship is more deployment-focused and less of an eval/tracing platform. It's cheaper for small projects ($25 Pro vs LangSmith's $99 for teams) but lacks LangSmith's deep observability features. CrewAI AMP is more opinionated toward CrewAI; Crewship supports more frameworks and offers a simpler pricing model. Real-world caveat: The free tier is ideal for prototyping but limited. The Team plan is in waitlist phase, so don't count on it yet. If you need self-hosting or on-premise, Crewship is not an option — it's a managed cloud service only.

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Use Cases

  • Deploy a CrewAI research agent as a scalable API with real-time streaming
  • Build a Slack bot that lets your team interact with LangGraph agents via @mentions
  • Create a versioned agent pipeline for customer support with automatic rollback
  • Expose agent workflows via webhooks to trigger from external services
  • Run multi-turn conversational agents that maintain state across messages
  • Monitor and debug agent runs with detailed execution traces in the dashboard

Limitations

  • Free tier limits runtime to 6 minutes and 30 runs per month.
  • Pro increases runtime to 3 hours and 500 runs.
  • Artifact size limited to 100MB on Pro, 500MB on Team.
  • Self-hosting is not currently available.
  • Only CrewAI, LangGraph, and LangGraph.js are fully supported; other frameworks are listed as 'coming soon'.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Integrations

CrewAILangGraphLangGraph.jsSlack

Resources & Guides

  • Resourcecrewship.dev

    Runs Vs Threads When To Use Which · Crewship

    Helpful link from crewship.dev

Frequently Asked Questions

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Details

Pricing
Freemium
Skill Level
Intermediate
Platforms
CLI, API, Web
API Available
Yes
Pricing & overview verified
5d ago

Categories

⚙️ Developer Infrastructure🤖 Automation & Agents

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Topics

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