Mastra
UnclaimedBuild AI-powered applications and agents with a modern TypeScript stack.
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TL;DR - Mastra
- Framework for building AI apps and agents with TypeScript.
- Integrates with 40+ AI providers and supports autonomous agents and workflows.
- Offers production essentials like observability and integrates with existing web frameworks.
Pricing: Free plan available
Best for: Growing teams
Pros & Cons
Pros
- Open-source AI framework
- TypeScript-native design
- Good for AI workflows
- Active development
Cons
- Requires developer knowledge
- Documentation still evolving
- Smaller community than alternatives
Preview
Key Features
AI application frameworkAgent buildingWorkflow orchestrationTool integrationTypeScript-firstOpen source
Pricing Plans
Open Source
Free
- Full source code access
- Other license
- Community support
- Self-hosted
About Mastra
By Toolradar Team·
Mastra is a framework designed for developers to build AI-powered applications and agents using a modern TypeScript stack. Originating from the team behind Gatsby, it provides a comprehensive toolkit to go from initial prototypes to production-ready applications. Mastra integrates seamlessly with popular frontend and backend frameworks like React, Next.js, and Node.js, and can also be deployed as a standalone server.
The framework offers key features such as model routing to connect with over 40 AI providers (e.g., OpenAI, Anthropic, Gemini), tools for building autonomous agents that can reason and use tools to solve tasks, and a graph-based workflow engine for orchestrating complex multi-step processes. It also supports human-in-the-loop interactions, context management for agents, and various integration options for existing applications or standalone endpoints. Mastra is ideal for developers looking to build, tune, and scale reliable AI products with built-in evaluation and observability tools.
How we evaluate tools →Source: mastra.ai
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Mastra FAQ
What specific AI model providers can Mastra connect to?
Mastra offers model routing to over 40 different providers through a single, standardized interface. This includes popular models from OpenAI, Anthropic, and Gemini, among others.
How does Mastra handle complex, multi-step AI processes?
Mastra utilizes a graph-based workflow engine to orchestrate complex multi-step processes. It provides an intuitive syntax for control flow, allowing for sequential execution, branching, and parallel operations.
Can a user intervene in an ongoing AI agent or workflow process in Mastra?
Yes, Mastra supports human-in-the-loop functionality, allowing users to suspend an agent or workflow and await input or approval before continuing. Mastra stores the execution state, enabling indefinite pausing and seamless resumption.
What mechanisms does Mastra provide for managing context for AI agents?
Mastra offers robust context management features, allowing users to provide conversation history and retrieve data from various sources like APIs, databases, and files. It also supports human-like working and semantic memory to ensure agents behave coherently.
How does Mastra integrate with existing web applications and UI frameworks?
Mastra allows bundling agents and workflows into existing React, Next.js, or Node.js applications, or deploying them as standalone endpoints. For building UIs, it integrates with agentic libraries such as Vercel's AI SDK UI and CopilotKit.
What is an MCP server in the context of Mastra?
MCP servers in Mastra are used to author Model Context Protocol servers, which expose agents, tools, and other structured resources via the MCP interface. These resources can then be accessed by any system or agent that supports the protocol.
Source: mastra.ai