Mastra 1.0
Shares tags: ai, code, image-generation
Mastra is an open-source TypeScript framework for building AI-powered applications and agents.
overview
Mastra is a TypeScript framework developed by the mastra-ai team that enables TypeScript developers to build AI-powered applications and agents. It provides tools for creating autonomous agents and orchestrating complex workflows using a modern TypeScript stack.
quick facts
| Attribute | Value | |-----------|-------| | Developer | mastra-ai | | Pricing | Freemium: Free | | Platforms | Web, Node.js | | API Available | Yes | | Integrations | React, Next.js, Couchbase, Vercel AI SDK, CopilotKit, AG-UI | | Languages | TypeScript |
features
Mastra provides a comprehensive suite of features for building AI applications.
use cases
Mastra is particularly beneficial for developers looking to create AI-driven functionality within their applications.
pricing
Mastra is fully open-source and available for free under the MIT license. There are no paid plans available, but operational costs may apply from external LLM providers.
competitors
Mastra offers a TypeScript-native full-stack framework designed for web integration and rapid development.
Python and TypeScript agent framework with exceptional observability through LangSmith for deep traces, debugging, and evaluations.
LangGraph offers multi-language support (Python & TypeScript) compared to Mastra's TypeScript-only approach, with superior built-in observability through LangSmith. However, LangGraph has minimal native UI capabilities, while Mastra provides basic built-in UI support plus Mastra Cloud for managed deployments.
Type-safe Python agent framework with FastAPI-style developer experience and strong structured output validation.
Pydantic AI is Python-focused with emphasis on type safety and validation, whereas Mastra targets TypeScript developers with a modern stack. Mastra offers more comprehensive deployment flexibility through Mastra Cloud, while Pydantic AI excels in structured, validated agent logic for Python environments.
Native OpenAI framework with built-in tracing and good UI integration through ChatKit for rapid agent development.
OpenAI Agents SDK is primarily OpenAI-focused with strong built-in observability, while Mastra supports multi-provider LLMs. Mastra provides more flexible deployment options (Node, Serverless, Docker, Cloud providers) compared to OpenAI's backend server and ChatGPT Apps focus.
Multi-agent orchestration framework designed for collaborative agent workflows with role-based agent design patterns.
CrewAI specializes in multi-agent collaboration and orchestration, while Mastra is a more general-purpose framework for building individual agents. Both support multiple LLM providers, but CrewAI's strength lies in complex agent team coordination rather than Mastra's broader application development capabilities.
Industry-leading UI integration with deep React and Next.js support, React Native via Expo, Vue.js and Svelte compatibility, backed by Vercel.
Vercel AI SDK excels in frontend integration and UI capabilities across multiple frameworks, while Mastra focuses on backend agent development with basic UI support. Vercel AI SDK is native to Next.js and Vercel deployment, whereas Mastra offers broader deployment flexibility across multiple cloud providers and environments.
Mastra is a TypeScript framework developed by the mastra-ai team that enables TypeScript developers to build AI-powered applications and agents. It provides tools for creating autonomous agents and orchestrating complex workflows using a modern TypeScript stack.
Mastra is fully open-source and available for free under the MIT license, with no paid plans.
Mastra includes model routing for 600+ models, human-in-the-loop interactions, graph-based workflow orchestration, low-latency guardrails, and built-in evaluation tools.
Mastra is ideal for TypeScript developers, AI application builders, and enterprise developers focused on advanced workflows and autonomous agents.
Mastra is a TypeScript-native framework that supports multiple LLM providers, contrasting with competitors like LangChain and OpenAI Agents SDK, which have narrower scopes in terms of language support and model integration.