Quick Info
About Mastra
| AI Engine / Model: | Proprietary / Multi-Model AI Engine (supports OpenAI, Anthropic, Google, etc.) |
| API Status: | Yes - REST API available and documented |
| Platforms: | Web, macOS, Linux, Windows, API |
| Commercial Usage Rights: | Available in paid plans (Teams & Enterprise); open-source framework under Apache 2.0 |
| Arabic Language Support: | Partial - depends on connected LLMs (OpenAI, Anthropic, Google) which support Arabic |
Mastra Factory is a comprehensive development platform for building AI agents and workflows in TypeScript, developed by Mastra, a US-based company. First released in October 2024 as an open-source framework (Apache 2.0), it enables developers to move from prototype to production quickly. The architecture cleanly separates the open-source framework (self-hostable) from the managed cloud platform (Mastra Cloud) that provides observability, evals, and deployment.
Architecture and Core Components
Mastra rests on four pillars: First, the Agent Framework supporting tool calling and multi-step reasoning, allowing agents to plan and execute tasks sequentially. Second, the Workflow Engine that connects agents and tools into complex pipelines with flow control and conditions. Third, Built-in Memory and RAG support where agents can store and retrieve context from vector databases to enhance responses. Fourth, Observability & Evals via Mastra Cloud providing event tracking, CPU time, and data retention.
Integrations and Supported Models
The platform integrates with major LLM providers: OpenAI (GPT-4o), Anthropic (Claude 3.5), Google (Gemini), plus open-source models. It also supports MCP (Model Context Protocol) to extend agent capabilities. Developers can use the documented REST API to integrate Mastra into existing applications.
Performance and Scalability
The free plan offers 100K observability events and 24 CPU hours monthly, while the Teams plan provides 1M events and 250 CPU hours with 6-month data retention. The platform supports cloud deployment or self-hosting, making it flexible for startups and large enterprises alike.
Technical Limitations
Despite the framework's power, Arabic language support depends entirely on the connected model, with no special Arabic processing. The platform targets developers experienced in TypeScript, limiting use by non-programmers.
Key Features of Mastra
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Feature 2
Feature 3
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Feature 5
Pros and Cons of Mastra
Pros
- Open-source framework (Apache 2.0) allowing self-hosting and full customization
- Multi-LLM support providing flexibility in model choice
- Powerful workflow engine for building complex pipelines
- Built-in observability and evals via Mastra Cloud
- Documented REST API for easy integration
- Suitable for projects from prototype to production
Cons
- ✕Requires TypeScript knowledge, limiting use by non-programmers
- ✕Arabic support depends on the connected LLM, not a native feature
- ✕Free plan limited to 100K events and 24 CPU hours monthly
- ✕Data retention on free plan is only 15 days
- ✕No graphical interface for no-code agent building
Supported Platforms
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Pricing Information
| Plan | Price | Limits & Quota | Commercial Use |
|---|---|---|---|
| Starter (Free) | $0 / month | 100K observability events + $10/100K extra, 24 CPU hours + $0.35/hr extra, 15-day data retention, unlimited users, deployments, and projects | Yes |
| Teams | $250 / month | 1M observability events + $8/100K extra, 250 CPU hours + $0.25/hr extra, 6-month data retention, multiple teams, SSO, SOC 2 docs | Yes |
| Enterprise | Custom pricing | Custom volume and retention, RBAC, audit logs, support and uptime SLAs, dedicated support engineer | Yes |
Summary: Mastra offers a generous free plan for individual developers with clear limits, while the Teams plan targets growing teams at $250/month. For large enterprises, Enterprise provides custom pricing with advanced security and compliance features.
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