Yes, the core Mastra framework is free and open-source under the Apache License 2.0. An Enterprise tier is available for additional features and support, requiring a valid license for production use, though it is free for development and testing.

What are the main features of Mastra?

Mastra's main features include model routing to over 40 AI providers, autonomous AI agent construction, a graph-based workflow engine, human-in-the-loop interactions, robust context and memory management, Retrieval-Augmented Generation (RAG) capabilities, and integrations with React, Next.js, and Node.js applications. It also offers built-in evaluation tools and the Mastra Studio UI for development.

How does Mastra compare to alternatives?

Mastra distinguishes itself from alternatives like LangChain.js by offering a TypeScript-first, batteries-included framework with a focus on developer experience and performance. Unlike the Vercel AI SDK, Mastra provides a comprehensive agent development lifecycle beyond just the UI. It competes with other TypeScript-first frameworks like ADK for TypeScript and VoltAgent by offering a full-stack approach with built-in workflows, memory, and observability.

AI Tool

Mastra Review

Mastra is a TypeScript framework for building AI-powered applications and agents.

shipped Jan 22, 2026aifreemium

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Why it matters

1Mastra 1.0 Stable Release was announced in January 2026, with its hosted platform launching in April 2026.

2The framework supports model routing to over 40 AI providers, including OpenAI, Anthropic, and Google Gemini.

3Mastra secured $35 million in funding across seed ($13M in Oct 2025) and Series A ($22M in Apr 2026) rounds.

4It became Apache 2.0 licensed in July 2025, making its core open-source and freely available.

Stork’s verdict on Mastra

Mastra's integrated TypeScript toolkit accelerates AI app development, though its young ecosystem means less community support.

About Mastra

Team Size

2-10

Funding

yc-backed

overview

What is Mastra?

Mastra is a TypeScript framework tool developed by the team behind Gatsby that enables TypeScript developers, AI application builders, and agent developers to build and scale AI-powered applications and agents. It provides a comprehensive suite of tools for moving from prototyping to production-ready AI products within a modern JavaScript/TypeScript stack.

features

Key Features of Mastra

Mastra provides a comprehensive toolkit for developing and deploying intelligent AI applications and agents. Its core functionalities are designed to streamline the entire development lifecycle, from model integration to workflow orchestration and continuous refinement.

Model routing to over 40 AI providers, including OpenAI, Anthropic, Google Gemini, Groq, Cerebras, and Mistral.
Construction of autonomous AI agents utilizing Large Language Models (LLMs) and tools to solve open-ended tasks.
Graph-based workflow engine for orchestrating complex, multi-step processes with explicit control flow.
Support for human-in-the-loop interactions, allowing agents and workflows to be suspended and resumed.
Robust context management, including conversation history, data retrieval, and Observational Memory for coherent agent behavior.
Retrieval-Augmented Generation (RAG) capabilities with ETL pipelines for knowledge bases and integration with vector stores like Pinecone, Qdrant, and pgvector.
Seamless integration with existing React, Next.js, and Node.js applications, or deployment as standalone endpoints.
Built-in evaluation tools and observability features for continuous measurement and refinement of AI systems.
Mastra Studio, a local development UI for building, testing, and managing agents, workflows, and tools.

use cases

Who Should Use Mastra?

Mastra is primarily designed for developers and organizations seeking to build sophisticated AI-powered applications and agents within a modern TypeScript environment. Its architecture supports a range of complex AI use cases.

TypeScript developers aiming to build custom, scalable AI applications and autonomous agents.
AI application builders requiring a full-stack framework for orchestrating complex AI workflows and integrating with existing web applications.
Agent developers focused on creating intelligent systems that utilize LLMs and tools for tasks like automated data analysis or content generation.
Teams needing to integrate AI capabilities into existing React, Next.js, or Node.js applications.
Organizations requiring flexible model routing across multiple AI providers and robust human-in-the-loop interaction capabilities.

how to use

How to Use Mastra

Mastra facilitates the development of AI applications through a structured, code-first approach within a TypeScript stack. Developers can leverage its primitives to define agents, workflows, and integrate with various AI models.

1Install the Mastra framework into a new or existing TypeScript project.
2Define AI agents by specifying their goals, available tools, and interaction patterns with LLMs.
3Construct complex, multi-step AI workflows using Mastra's graph-based engine to orchestrate tasks and data flow.
4Integrate developed agents and workflows into React, Next.js, or Node.js applications, or deploy them as standalone services.
5Utilize Mastra Studio for local development, debugging, and iterative refinement of agents and workflows.
6Configure model routing to connect to over 40 AI providers and manage context, memory, and RAG capabilities for agents.

pricing

Mastra Pricing & Plans

Mastra operates on a freemium model, offering a robust open-source core alongside an enterprise-grade offering with additional features and support.

Open Source (Core): Free. This tier includes the core framework features and is licensed under Apache License 2.0, allowing free use, modification, and contribution.
Enterprise: Contact for pricing. This tier provides access to source-available features located in ee/ directories, requiring a valid enterprise license for production use. It is free for development and testing purposes.

Pros

+Integrated toolkit bundling essential components like workflows, memory management, and evaluation tools, reducing the need to stitch together disparate libraries.
+Superior developer experience with strong TypeScript support, type-safe schemas (using Zod), and clear configuration and error messages.
+Local development UI, 'Mastra Studio,' for efficient debugging, iteration, and management of agents, workflows, and tools.
+Demonstrated faster development cycles and improved performance compared to some Python alternatives (e.g., 18 hours for agent setup vs. 41 hours with LangChain for a similar task).
+Comprehensive suite for building scalable, debuggable, and maintainable AI applications within a modern JavaScript/TypeScript stack.
+Unified interface for model routing across 40+ AI providers, offering flexibility and future-proofing for AI model integration.

Cons

−The ecosystem is relatively young, leading to a scarcity of third-party tutorials and community support compared to more established frameworks like LangChain.
−Documentation, while extensive, can be overwhelming for beginners and sometimes assumes a higher level of expertise in AI application development.
−Enterprise-specific features require a separate license for production use, which may introduce additional costs for larger organizations.
−The learning curve for mastering complex graph-based workflows and advanced agentic patterns might be steep for developers new to these concepts.

Similar Tools

Mastra vs Competitors

Mastra positions itself as a TypeScript-native, production-grade framework for AI agents, distinguishing itself from Python-first alternatives and more narrowly focused libraries by offering a comprehensive, integrated toolkit.

LangChain.jsOn Stork Compare

An open-source framework with pre-built agent architectures and extensive integrations to models, tools, and databases, enabling rapid agent development.

LangChain.js offers a broader ecosystem and more integrations compared to Mastra, making it highly versatile for various AI applications. While both focus on agents and applications, LangChain.js is a port of the popular Python version, offering a more established community and a wider range of pre-built components, whereas Mastra is TypeScript-first from the ground up.

Vercel AI SDKOn Stork Compare

A model-agnostic, open-source library specifically designed for building streaming, conversational, and chat user interfaces in JavaScript and TypeScript, with first-class React and Next.js hooks.

The Vercel AI SDK is more focused on the UI layer for AI applications, particularly streaming chat and tool-calling UIs, making it a strong choice for frontend-heavy AI experiences. Mastra, while also TypeScript-based, provides a more comprehensive framework for the entire agent development lifecycle, including workflows, memory, and observability, beyond just the UI.

Agent Development Kit (ADK) for TypeScriptOn Stork Compare

An open-source framework that brings a code-first philosophy to agent development in TypeScript, emphasizing type safety, modularity, and seamless deployment.

ADK for TypeScript shares Mastra's TypeScript-first approach and focus on agent development, but it emphasizes a code-first philosophy and is optimized for Google's AI ecosystem while remaining model-agnostic. Mastra, from the Gatsby team, also offers a full-stack approach with built-in features like workflows and observability.

VoltAgent↗

An open-source TypeScript AI agent framework offering a complete toolkit for enterprise-level AI agents, including unified APIs, tools, memory, and built-in observability.

VoltAgent directly competes with Mastra as a TypeScript-first, open-source framework for building AI agents, providing a comprehensive toolkit with a strong emphasis on observability and enterprise-level features. Both aim to simplify the development of production-ready agents in TypeScript, with VoltAgent highlighting its visual debugger and unified APIs.

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