Crewship
Deploy CrewAI, LangGraph, and LangGraph.js agents as production APIs with one command.
Crewship is a pragmatic pick for CrewAI and LangGraph developers who want a live API in seconds, not days spent on infrastructure. The $25 Pro tier is a bargain for 500 runs and 10 deployments, but check the run limits—heavy production use may need Team or Enterprise. For solo devs and small teams, it's a fast win over rolling your own deployment stack.
Verified 5d ago · liveness 73/100 · cite: rightaichoice.com/tools/crewship
- AI engineers deploying CrewAI or LangGraph agents to production APIs quickly
- Teams wanting zero-infrastructure deployment with auto-scaling
- Developers seeking transparent, flat-rate pricing for agent APIs
- Startups needing a fast, affordable path to production AI workflows
- Non-developers seeking a no-code agent builder
- Teams requiring on-premise or self-hosted infrastructure
- High-volume use cases needing more than 500 runs/month on a budget
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Skip Crewship if you need on-prem/self-hosted infrastructure, require more than 500 runs/month on a budget, or need collaboration features before the Team plan goes GA.
Going past 500 runs per month on Pro has no explicit overage price; you'll need to upgrade to Team or Enterprise, which isn't available yet, so you may be stuck waiting mid-billing cycle.
Crewship's pricing fits solo devs and small teams shipping CrewAI/LangGraph agents—$25/mo for 500 runs is cheaper than comparable per-token services like LangSmith, but pricier than rolling your own on AWS Lambda for very high volume.
In short
Crewship — Deploy CrewAI, LangGraph, and LangGraph.js agents as production APIs with one command. Best for AI engineers deploying CrewAI or LangGraph agents to production APIs quickly, Teams wanting zero-infrastructure deployment with auto-scaling, Developers seeking transparent, flat-rate pricing for agent APIs. Free to start; paid plans from $25/mo.
What's new in Crewship
Checked 3 days agoAcross the latest 4 updates: 1 feature update and 3 news mentions.
API Runs: Runs vs. Threads
Explains the difference between stateless runs and stateful threads, helping developers choose the right execution model for their agents.
Multiple Deployments, One Config File
Introduces support for managing multiple agent deployments in a single crewship.toml config file, simplifying multi-agent systems.
How to Deploy LangGraph to Production
A step-by-step guide for deploying LangGraph agents, covering stateful graphs, APIs, scaling, and production challenges.
How to Deploy CrewAI to Production
Guides developers through taking CrewAI agents from local to production, including containerization, authentication, and versioning.
What people actually say about Crewship — is it worth it?
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) · researched Jul 4, 2026.
- +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.
- −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.
- • 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
How well maintained and how widely used is Crewship? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- One-command deploy via CLI: crewship deploy
- Real-time streaming with Server-Sent Events
- Automatic artifact collection and API access
- Version control with instant rollback
- Auto-scaling from zero to thousands of concurrent runs
- Webhooks with HMAC-SHA256 signing
- Structured data tables
- Slack chatbot integration
- Stateful threads with persistent context
- Stateless runs for simple executions
- Multiple deployments per config file (crewship.toml)
- Secret management and encrypted API keys
- Isolated runtime environments
- Dashboard monitoring for runs and deployments
- Support for CrewAI, LangGraph, and LangGraph.js
About Crewship
Crewship is a developer-first platform that gets your AI agents from local code to production API in under a minute. Run `crewship deploy` and the platform handles containerization, auto-scaling, secrets management, and monitoring, so you skip the infrastructure grind entirely. Built for AI engineers and teams shipping CrewAI, LangGraph, or LangGraph.js agents, it supports both stateless runs and stateful threads for persistent context, with real-time streaming via Server-Sent Events so you can watch each step as it executes. Automatic artifact collection stores every file and output, accessible through the API, while versioning with instant rollback and a web console keep deployments auditable. For day-to-day operations, Crewship includes webhooks signed with HMAC-SHA256, structured data tables for organized outputs, and a Slack chatbot integration for interactive workflows. Notably, it now supports multiple deployments in a single config file, so you can manage entire multi-agent systems from one repo. The pricing is refreshingly simple: a free tier to experiment, a $25/month Pro plan with 500 runs and 10 deployments, and a Team plan coming soon with collaboration features. Framework-agnostic by design, Crewship currently runs CrewAI, LangGraph, and LangGraph.js live, with AutoGen, Pydantic AI, smolagents, OpenAI Agents, and Mastra marked as "Soon." Compared to CrewAI AMP or LangSmith, Crewship focuses on instant, transparent deployment and predictable pricing—no surprise bills, no complex per-token math. If you want a fast, hands-off path to production agent APIs, this is a practical choice.
Behind the Verdict
Crewship nails the core developer pain point: getting an agent from local prototype to a live, scalable API without touching infrastructure. The one-command deploy is genuinely one command—`crewship deploy`—and the platform abstracts away containerization, scaling, and secrets so you can focus on the agent logic. We like the transparent flat-rate pricing: $25/month for 500 runs and 10 deployments is refreshingly simple compared to per-token metering from providers like LangSmith. Strengths: The free tier is generous enough for experimentation, with 30 runs and 6-minute runtime. Real-time streaming via SSE is a standout—you can watch your agent think and act live, which is invaluable for debugging. The stateful threads support persistent context across turns, enabling multi-turn conversational agents with memory. Artifact management automatically collects every file and output, and the web console gives you a clear dashboard for runs and deployments. Weaknesses: The framework support is still narrow—only CrewAI, LangGraph, and LangGraph.js are live, though AutoGen, Pydantic AI, smolagents, and others are 'coming soon.' The run limits can be restrictive: 500 runs/month on Pro might not cut it for high-volume production use, and the Team plan (with collaboration features like role-based access and audit logs) hasn't shipped yet. Enterprise features like SSO/SAML are gated behind the Custom plan, so larger orgs may have to wait. Where it fits: Solo developers and small teams shipping CrewAI or LangGraph agents who want a fast, affordable path to production. The predictable pricing is a major plus for startups budgeting for AI workloads. Where it doesn't: Non-developers looking for a no-code builder, teams that need on-prem or self-hosted deployment, or organizations that require collaboration features right away. If you need unlimited runs or custom runtimes, you're forced into Enterprise pricing. Overall, Crewship is a solid choice for its niche. It's not going to replace your cloud provider for everything, but for deploying agent APIs, it's a time-saver with fair pricing.
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Real-world workflow fit
Concrete scenarios for the personas Crewship actually fits — and what changes day-one when you adopt it.
Build a CrewAI research agent locally, then deploy to production with one command.
Outcome: Get a live API in under 60 seconds, with real-time streaming and version control, without managing any infrastructure.
Set up a Slack bot for team members to interact with LangGraph agents via @mentions.
Outcome: Team can query agents directly in Slack, with webhooks and tables collecting outputs for easy analysis.
Deploy a multi-agent system using multiple deployments in one config file.
Outcome: Manage several agent versions in a single repo, with rollback and auto-scaling, while keeping costs predictable.
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, 30 runs per month, and 1 active deployment.
- Pro increases runtime to 3 hours and 500 runs, with 10 deployments included.
- Artifact size limited to 100MB on Pro, 500MB on Team.
- Team plan is listed as 'Coming soon'.
as of 2026-08-21
Verification history
We have re-verified Crewship 8 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 8 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Crewship tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/month
Ideal for
Solo developers experimenting with CrewAI or LangGraph, needing a quick way to test agent deployments without costs.
What this tier adds
Starting tier with 1 deployment, 30 runs/month, and 6-minute runtime—enough for learning and prototyping.
Pro
$25/month
Ideal for
Professionals shipping agents to production, needing higher limits and priority support.
What this tier adds
Adds 10 deployments, 500 runs/month, 3-hour runtime, and artifact size up to 100MB.
Team
Coming soon
Ideal for
Teams collaborating on AI workflows, needing shared deployments and role-based access.
What this tier adds
Coming soon—adds team collaboration, shared deployments, role-based access, and audit logs.
Enterprise
Custom
Ideal for
Organizations with advanced needs, requiring dedicated infrastructure and custom runtimes.
What this tier adds
Custom pricing with unlimited deployments, dedicated infrastructure, SLA, and custom integrations.
Where the pricing makes sense
The company stage and team size where Crewship's pricing actually pencils out — and where peers do it cheaper.
Crewship's pricing fits solo devs and small teams shipping CrewAI/LangGraph agents—$25/mo for 500 runs is cheaper than comparable per-token services like LangSmith, but pricier than rolling your own on AWS Lambda for very high volume.
Setup time & first value
How long it actually takes to get something useful out of Crewship — broken out by persona, not the marketing-page minute.
Solo devs can deploy their first agent in under 60 seconds with one command. For a small team integrating Slack, allow about 15 minutes to set up webhooks and chatbot permissions. Moving from local development to production typically takes less than an hour, including configuring secrets and environment variables.
Switching to or from Crewship
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From CrewAI AMP: Import your CrewAI agents, then use `crewship deploy` to get a live API with streaming and version control—no need to rework your agent logic.
- →From LangSmith: Export your LangGraph workflows and deploy via Crewship to gain instant rollback and simplified pricing, though you'll lose LangSmith's advanced tracing features.
- ↗To AWS Lambda: Containerize your agent and set up API Gateway manually, but you'll lose built-in streaming, artifact collection, and versioning.
- ↗To LangGraph Platform: Move to LangGraph's managed service for deeper integration with LangChain tools, but expect per-token pricing.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Featured Head-to-Head Comparisons
Crewship vs Spider Cloud
Choose Crewship if you need to deploy multi-agent workflows (CrewAI, LangGraph) as scalable production APIs with minimal infrastructure. Choose Spider Cloud if you need fast, reliable web scraping/crawling to feed data into AI agents or RAG pipelines. They complement each other – use Spider Cloud to gather data, then Crewship to deploy agents that act on it.
Crewship vs Temporal Ai
If you need bulletproof reliability with automatic retries, state persistence, and control over every step of your workflow, Temporal is the clear choice. If you want to ship AI agents into production with minimal overhead and a single CLI command, Crewship is the faster path. Choose Temporal for complexity and durability; choose Crewship for speed and simplicity.
Crewship vs Presto Voice
Presto Voice and Crewship serve entirely different markets. Presto Voice is a specialized drive-thru voice AI for QSR chains, proven with big-name clients like Dairy Queen, while Crewship is a developer tool for deploying multi-agent systems as scalable APIs. Choose based on your industry: QSR operators needing revenue lift vs. AI engineers deploying agents to production.
Popular in Agent Frameworks & Orchestration
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Frequently Asked Questions
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