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Mastra

Mastra · TypeScript AI Agent Framework

Open Mastra

An open-source TypeScript framework for building, deploying, and observing AI agents and workflows.

PricingFree
Setupmedium
Runs onSelf-hosted
APIYes
Open sourceYes
DocsYes
Agent FrameworkTypeScriptOpen SourceNode.jsWorkflowsObservability

Best for

TypeScript-first AI agents and workflows for Node.js teams

Not ideal for

Python-first teams or those needing a visual no-code builder

Who it's for

TypeScript developers building AI agent applications within the Node.js ecosystem

Capabilities

  • TypeScript-native agent and workflow framework
  • Integrates with Next.js, Express, and Hono
  • Built-in observability and agent testing tools
  • Deploy as part of your app or as a standalone service
  • Context tuning and recall optimisation for agent performance

Limitations

  • TypeScript/JavaScript only — no Python support
  • Newer framework with a smaller community than Python alternatives
  • No visual builder — code-only
  • Ecosystem and integrations are still growing

Use cases

  • Building AI agents in TypeScript alongside existing Node.js apps
  • Adding agent capabilities to Next.js or Express applications
  • Teams that want agent development in the same language as their product
  • Agent workflows requiring built-in observability and testing
  • Deploying agents as standalone TypeScript services

Integrations & fit

Next.jsExpressHonoOpenAITypeScript
Good fit forStartup / small team, Enterprise
Pricing modelFree· No cost to start
See pricing on Mastra

Alternatives to consider

About Mastra

Mastra is an open-source TypeScript framework for building AI-powered applications and agents. It provides tools for agent orchestration, workflow definition, observability, and testing — all in TypeScript. Mastra integrates with existing Node.js frameworks like Next.js, Express, and Hono, and agents can be deployed wherever you host your application or as standalone services. The framework is Apache 2.0 licensed and designed for TypeScript-first teams who want to build agent systems in the same language as the rest of their stack rather than switching to Python. It includes built-in support for context tuning and recall optimisation to improve agent performance.

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