Mastra
Mastra is a TypeScript framework for building AI-powered applications and agents that provides model routing, workflow orchestration, human-in-the-loop capabilities, and production-ready features for developing reliable AI products.
https://github.com/mastra-ai/mastra?ref=producthunt
Product Information
Updated:Jan 22, 2026
What is Mastra
Mastra is an open-source framework developed by the team behind Gatsby that enables developers to build AI-powered applications and autonomous agents using a modern TypeScript stack. It offers a comprehensive set of tools and features needed to go from early prototypes to production-ready AI applications, with seamless integration capabilities for frontend and backend frameworks like React, Next.js, and Node.js. The framework can be deployed as a standalone server or integrated into existing applications, making it highly flexible for different use cases.
Key Features of Mastra
Mastra is a comprehensive TypeScript framework for building AI-powered applications and agents. It provides model routing across 40+ providers, agent orchestration, workflow management, memory systems, and production-ready features like evaluation and observability tools. The framework integrates seamlessly with modern web technologies like React and Next.js while offering standalone deployment options, making it a complete solution for developing and scaling AI applications.
Model Routing & Integration: Connect to 40+ AI providers (OpenAI, Anthropic, Gemini, etc.) through a unified interface, allowing seamless model switching and integration
Workflow Management: Graph-based workflow engine for orchestrating complex multi-step processes with intuitive syntax for control flow, including suspend/resume capabilities for human-in-the-loop interactions
Context & Memory Management: Sophisticated context handling with conversation history, semantic memory, and RAG capabilities for maintaining coherent agent behavior and knowledge retrieval
Production Monitoring: Built-in evaluation tools and observability features for monitoring, measuring, and continuously improving agent performance in production environments
Use Cases of Mastra
Customer Service Automation: Build intelligent chatbots and customer service agents that can handle complex queries, access relevant documentation, and seamlessly escalate to human agents when needed
Data Analysis & Research: Create AI agents that can process, analyze, and synthesize information from multiple sources, generating insights and reports with human-like comprehension
Development Assistance: Implement AI-powered coding assistants that can help with code generation, debugging, and documentation while integrating with existing development workflows
Content Management: Develop AI systems for content creation, moderation, and optimization across multiple platforms with consistent brand voice and quality standards
Pros
Comprehensive TypeScript-first architecture with modern web framework integration
Rich feature set for both development and production environments
Strong focus on production readiness with built-in monitoring and evaluation tools
Cons
Relatively new framework still in active development (v1 coming in 2026)
Learning curve may be steep for developers new to AI development
Limited ecosystem compared to more established frameworks
How to Use Mastra
Install Mastra: Run 'npm create mastra@latest' in your terminal to create a new Mastra project. The CLI wizard will guide you through setup and create a new directory with an example weather agent.
Configure API Key: Set up your API key from an LLM provider like OpenAI, Anthropic, or Google Gemini in your project's environment variables.
Create an Agent: Create a new agent by importing Agent from @mastra/core and initializing it with a name, instructions, and model: const agent = new Agent({ name: 'my-agent', instructions: 'You are a helpful assistant', model: 'github-models/ai21-labs/ai21-jamba-1.5-large' });
Start Development Server: Run 'mastra dev' to start the local development server. This will make your agent accessible via API endpoints and launch the Mastra Studio UI at http://localhost:4111.
Test Your Agent: Generate responses using agent.generate() for single responses or agent.stream() for streaming responses. You can test interactions through the Studio UI or by making API calls.
Add Tools and Memory: Enhance your agent by adding tools for external actions and configuring memory options like conversation history and semantic recall to improve context awareness.
Create Workflows: Build multi-step processes using Mastra's workflow engine with .then(), .branch(), and .parallel() for complex orchestration of tasks.
Integrate with Frontend: Integrate your agents into React, Next.js or other frontend applications using Mastra's client SDKs and UI components.
Deploy to Production: Deploy your Mastra application using Mastra Cloud for automated deployments, monitoring and observability features.
Monitor and Evaluate: Use Mastra's built-in evaluation tools and observability features to monitor agent performance and improve responses over time.
Mastra FAQs
Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack. It integrates with frontend and backend frameworks like React, Next.js, and Node, and can be deployed anywhere as a standalone server.
Mastra Video
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