Mastra

Mastra Factory is a comprehensive open-source platform for building and deploying AI agents and generative workflows using TypeScript. Developed by Mastra, it provides a robust framework that combines memory, tool calling, Model Context Protocol (MCP), and full observability to accelerate the transition from prototype to production. The platform relies on a modern architecture that separates the open-source development layer (Apache 2.0) from the managed cloud hosting layer (Mastra Cloud), offering flexible plans ranging from free to custom enterprise tiers.

Architecture and Core Components

Mastra Factory is built on an open-source TypeScript core, making it compatible with modern runtimes such as Node.js, Bun, and Deno. The framework consists of several key modules: the Agent Engine that manages the agent lifecycle from reasoning to execution, the Workflow Engine that allows building multi-step processes with full control flow, the Memory System that preserves context across sessions, and RAG support that includes document processing and vector stores. The platform also offers ready-made integrations with major LLM providers like OpenAI, Anthropic, and Google, giving developers flexibility in choosing the best model for each task.

Performance and Observability Features

Mastra Factory stands out with advanced observability capabilities, allowing tracking of events, CPU time, and data retention according to each subscription plan. The Free plan supports 100K events and 24 CPU hours with 15-day data retention, while the Teams plan raises these limits to 1M events and 250 CPU hours with 6-month retention. This tiered approach makes the platform suitable for startups testing their ideas as well as large teams needing scalable infrastructure with SSO and SOC 2 reports.

Integration and Deployment

Mastra Factory agents can be easily deployed via Mastra Cloud or self-hosted using the Apache 2.0 open-source license. The platform provides a documented REST API that enables integration with web, mobile, and backend services. It also supports the MCP (Model Context Protocol), which facilitates connecting agents to external tools, databases, and other APIs, expanding use cases from sales automation to scientific research and task management.