Mastra

Mastra Factory is a TypeScript-native framework for building AI agents that reason, remember, and act. Launched by the Mastra team, it combines local development tooling with cloud deployment and observability, positioning itself as a full-stack infrastructure for production-grade agentic systems.

Architecture and Core Components

Mastra employs a modular architecture with four foundational layers: the Agent Layer handling conversation management, tool calling, and memory; the Workflow Engine orchestrating multi-step and branching AI pipelines; the RAG Layer managing document chunking, embeddings, and vector store integrations; and the Model Routing Layer dynamically dispatching requests across OpenAI, Anthropic, Google, and other LLM providers.

Agent Engine and Memory

Mastra provides a unified API for building agents capable of external tool invocation and multi-tier conversation memory. Structured output support simplifies integration with databases and REST endpoints.

Workflow Engine

Developers can define complex multi-step pipelines with conditional branching, retry logic, and error handling, making it suitable for enterprise automation scenarios requiring high reliability.

RAG and Vector Store Integration

The framework ships with ready-made utilities for document chunking, embedding generation, and integration with multiple vector stores, enabling precise retrieval-augmented generation over private data.

Observability and Deployment

Mastra Platform offers an observability dashboard tracking events, CPU time consumption, and data retention windows, with support for both cloud deployment and self-hosted installations for enterprises requiring full infrastructure control.