mastra-ai/mastra

What it solves

Mastra solves the complexity of building and scaling production-ready AI agents and applications using a modern TypeScript stack. It provides a unified framework that bridges the gap between early prototypes and deployable software by integrating model routing, state management, and observability tools into a single ecosystem.

How it works

Mastra operates as a framework that can be integrated into existing React, Next.js, or Node.js applications or deployed as a standalone server. It utilizes several core components:

• Model Routing: A standard interface to connect to over 40 providers (such as OpenAI, Anthropic, and Gemini).
• Agents & Workflows: It allows developers to build autonomous agents that reason and iterate, or use a graph-based workflow engine for explicit control flow using syntax like .then(), .branch(), and .parallel().
• Context & Memory: It manages conversation history and retrieves data from APIs, databases, and files, including "Observational Memory" for coherent agent behavior.
• Human-in-the-loop: It uses storage to save execution state, allowing processes to be suspended and resumed after user approval.
• MCP Servers: It supports the Model Context Protocol to expose agents and tools to other systems.

Who it’s for

TypeScript developers who want to build reliable, scalable AI agents and applications without having to piece together disparate tools for model routing, memory, and evaluation.

Highlights

• Unified Model Interface: Access to 40+ AI providers through one standard API.
• Graph-based Workflows: Precise orchestration of multi-step AI processes.
• Stateful Execution: Ability to pause and resume agents or workflows via human-in-the-loop capabilities.
• Production-Ready Tooling: Built-in evaluation and observability tools for continuous refinement.
• TypeScript Native: Purpose-built for the modern JS/TS ecosystem with first-class support for Next.js and React.