Mastra vs CrewAI
A side-by-side comparison to help you choose the right tool.
80
Mastra scores higher overall (80/100)
But the best choice depends on your specific needs. Compare below.
| Feature | Mastra | CrewAI |
|---|---|---|
| Our score | 80 | 72 |
| Pricing | Fully open source under MIT license. No cloud fees. Self-hosted on your own infrastructure. | Open-source framework is free to use. CrewAI Enterprise cloud platform has usage-based pricing. Free tier available for the hosted platform. |
| Free plan | Yes | Yes |
| Best for | TypeScript and Node.js developers who want a structured, production-ready agent framework, Teams building internal AI copilots or customer-facing assistants with full code control, Startups embedding AI capabilities into products that need evals and tracing from day one | developers building multi-agent workflows for business automation, teams automating complex processes that require multiple specialized roles, AI engineers prototyping collaborative agent systems, businesses creating automated content pipelines, research flows, or data processing |
| Platforms | api, web | web, api |
| API | Yes | Yes |
| Languages | en | en |
| Pros |
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| Cons |
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| Visit site | Visit site |
Mastra
80
- Pricing
- Fully open source under MIT license. No cloud fees. Self-hosted on your own infrastructure.
- Free plan
- Yes
- Best for
- TypeScript and Node.js developers who want a structured, production-ready agent framework, Teams building internal AI copilots or customer-facing assistants with full code control, Startups embedding AI capabilities into products that need evals and tracing from day one
- Platforms
- api, web
- API
- Yes
- Languages
- en
CrewAI
72
- Pricing
- Open-source framework is free to use. CrewAI Enterprise cloud platform has usage-based pricing. Free tier available for the hosted platform.
- Free plan
- Yes
- Best for
- developers building multi-agent workflows for business automation, teams automating complex processes that require multiple specialized roles, AI engineers prototyping collaborative agent systems, businesses creating automated content pipelines, research flows, or data processing
- Platforms
- web, api
- API
- Yes
- Languages
- en
80Choose Mastra if:
- You are TypeScript and Node.js developers who want a structured, production-ready agent framework
- You are Teams building internal AI copilots or customer-facing assistants with full code control
- You are Startups embedding AI capabilities into products that need evals and tracing from day one
- You want to start free
72Choose CrewAI if:
- You are developers building multi-agent workflows for business automation
- You are teams automating complex processes that require multiple specialized roles
- You are AI engineers prototyping collaborative agent systems
- You want to start free
FAQ
- What is the difference between Mastra and CrewAI?
- Mastra is open-source typescript framework for building production-ready ai agents and multi-step workflows, with a local studio ui, typed zod schemas, built-in evals, and support for suspend/resume human-in-the-loop flows. CrewAI is multi-agent ai framework that lets developers create teams of specialized ai agents that collaborate on complex tasks, with both an open-source library and a hosted platform.
- Which is cheaper, Mastra or CrewAI?
- Mastra: Fully open source under MIT license. No cloud fees. Self-hosted on your own infrastructure.. CrewAI: Open-source framework is free to use. CrewAI Enterprise cloud platform has usage-based pricing. Free tier available for the hosted platform.. Mastra has a free plan. CrewAI has a free plan.
- Who is Mastra best for?
- Mastra is best for TypeScript and Node.js developers who want a structured, production-ready agent framework, Teams building internal AI copilots or customer-facing assistants with full code control, Startups embedding AI capabilities into products that need evals and tracing from day one.
- Who is CrewAI best for?
- CrewAI is best for developers building multi-agent workflows for business automation, teams automating complex processes that require multiple specialized roles, AI engineers prototyping collaborative agent systems, businesses creating automated content pipelines, research flows, or data processing.