Quick Info
About Mastra
| AI Engine / Model: | Multi-Model AI Engine (supports OpenAI, Anthropic, Google, etc.) |
| API: | Yes - Documented REST API available |
| Platforms: | Web, Mac, Linux, Windows, API |
| Commercial Usage Rights: | Available in paid plans (Starter free for non-commercial use) |
| Arabic Language Support: | Partial (supports Arabic text via models but no dedicated optimizations) |
Mastra Factory is a comprehensive open-source platform for building, deploying, and observing AI agents in TypeScript. Developed by Mastra, it became publicly available in late 2024. The platform is designed as an integrated runtime that enables developers to move from prototype to production quickly, providing memory, tool calling, MCP (Model Context Protocol), and observability capabilities.
Architecture
Mastra Factory employs a modular architecture that separates the agent layer, workflow engine, and memory & RAG layer. The workflow engine allows building deterministic, composable multi-step pipelines with full support for synchronous and asynchronous calls. The platform also offers ready-made integrations with vector stores such as Pinecone, Weaviate, and Qdrant, facilitating the construction of RAG systems without additional code.
Performance Features
Mastra Factory includes built-in observability that tracks observability events, CPU time, and data retention, enabling real-time performance monitoring. It also supports integrated evals to measure agent output quality and provides a local dev playground and CLI for testing agents and workflows before deployment.
Programming Model and Integration
The platform uses TypeScript as its primary language, making it suitable for web developers and companies relying on JavaScript/TypeScript. It offers a comprehensive SDK with REST API support, enabling integration with web, mobile, and backend services. The platform is model-agnostic, supporting multiple AI models like GPT-4o, Claude 3.5, and Gemini, allowing developers to choose the best model for each task.
Core Use Cases
The platform targets developers and engineering teams building production AI agents, such as advanced chatbots, workflow automation, decision support systems, and applications requiring long-term memory and retrieval capabilities. With MCP support, agents can easily interact with external tools and API services.
Key Features of Mastra
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Pros and Cons of Mastra
Pros
- Open-source with self-hosting option for full control
- TypeScript support makes it easy for web developers to build AI agents
- Ready-made integrations with vector stores and multiple LLM models
- Built-in observability and evals to ensure output quality
- Generous free tier for small projects and experimentation
Cons
- ✕Requires TypeScript programming knowledge, not a no-code tool
- ✕Limited Arabic language support with no dedicated optimizations
- ✕Free tier is limited in events, CPU time, and data retention
- ✕Pricing can be high for large teams needing extensive resources
Supported Platforms
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Pricing Information
| Plan | Price | Limits & Quota | Commercial Use |
|---|---|---|---|
| Starter | $0 / month | 100K observability events, 24 CPU hours, 15-day data retention, unlimited users, deployments, and projects | Not available (non-commercial use) |
| Teams | $250 / month | 1M observability events, 250 CPU hours, 6-month data retention, multiple teams, SSO, SOC 2 | Available |
| Enterprise | Custom pricing | Custom volume and retention, RBAC, audit logs, support and uptime SLAs, dedicated support engineer | Available |
Summary: Mastra Factory offers a free Starter plan for small projects and experimentation, a Teams plan for growing teams at $250/month, and a custom Enterprise plan for large organizations. Additional costs apply for extra events ($10 per 100K in Starter, $8 in Teams) and CPU time ($0.35/hr in Starter, $0.25/hr in Teams).
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