OpenClaw vs Mastra
A side-by-side comparison to help you choose the right tool.
82
OpenClaw scores higher overall (82/100)
But the best choice depends on your specific needs. Compare below.
| Feature | OpenClaw | Mastra |
|---|---|---|
| Our score | 82 | 80 |
| Pricing | Free and open-source (MIT license). Managed cloud hosting at $59/month. Self-hosted infrastructure costs typically $6-50/month depending on usage. | Fully open source under MIT license. No cloud fees. Self-hosted on your own infrastructure. |
| Free plan | Yes | Yes |
| Best for | Developers comfortable with self-hosted infrastructure, Teams that need private, on-premise AI agent automation, Power users who want to connect AI to 50+ messaging and business tools, Organizations prioritizing data privacy over convenience | 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 | mac, linux, web | api, web |
| API | Yes | Yes |
| Languages | en | en |
| Pros |
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| Visit site | Visit site |
OpenClaw
82
- Pricing
- Free and open-source (MIT license). Managed cloud hosting at $59/month. Self-hosted infrastructure costs typically $6-50/month depending on usage.
- Free plan
- Yes
- Best for
- Developers comfortable with self-hosted infrastructure, Teams that need private, on-premise AI agent automation, Power users who want to connect AI to 50+ messaging and business tools, Organizations prioritizing data privacy over convenience
- Platforms
- mac, linux, web
- API
- Yes
- Languages
- en
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
82Choose OpenClaw if:
- You are Developers comfortable with self-hosted infrastructure
- You are Teams that need private, on-premise AI agent automation
- You are Power users who want to connect AI to 50+ messaging and business tools
- You want to start free
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
FAQ
- What is the difference between OpenClaw and Mastra?
- OpenClaw is openclaw is a free, open-source ai agent platform that runs autonomously across messaging apps and developer tools. it is the fastest-growing open-source project in history, best suited for technical users who want full control over their ai automation stack. 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.
- Which is cheaper, OpenClaw or Mastra?
- OpenClaw: Free and open-source (MIT license). Managed cloud hosting at $59/month. Self-hosted infrastructure costs typically $6-50/month depending on usage.. Mastra: Fully open source under MIT license. No cloud fees. Self-hosted on your own infrastructure.. OpenClaw has a free plan. Mastra has a free plan.
- Who is OpenClaw best for?
- OpenClaw is best for Developers comfortable with self-hosted infrastructure, Teams that need private, on-premise AI agent automation, Power users who want to connect AI to 50+ messaging and business tools, Organizations prioritizing data privacy over convenience.
- 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.