FrameworkPicker

Mastra

Profile

Overview

The bottom line — what this framework is, who it's for, and when to walk away.

Bottom Line Up Front

Mastra is a TypeScript framework designed for rapidly prototyping and confidently shipping AI agents. It integrates with popular web frameworks and supports a wide range of applications from customer service to DevOps automation.

Best For

Building and embedding reliable AI agents for diverse applications, from customer support to DevOps.

Avoid If

Project does not involve building or integrating AI agents into an existing application.

Strengths

  • +Is a TypeScript framework.
  • +Supports rapid prototyping and confident deployment of AI agents.
  • +Provides a quick start with a single command for project creation.
  • +Includes an interactive UI (Studio) for project development.
  • +Offers broad integration capabilities with popular web frameworks like Next.js, React, and Express.
  • +Enables building a wide range of AI agent applications, from customer assistants to DevOps automation.
  • +Offers pre-built templates for common use cases.

Weaknesses

  • −Specific state management strategies are not detailed in the provided documentation.
  • −Lacks explicit information on its licensing model.
  • −The documentation provides limited technical details on its architecture, performance characteristics, or underlying LLM integration mechanisms.
  • −Framework is explicitly TypeScript; no support for other primary languages like Python is indicated.

Project Health

Is this project alive, well-maintained, and safe to bet on long-term?

Stars

22,965

Open Issues

456

Last Commit

0d ago

Commit Frequency

25x/week

Bus Factor Score

9 / 10

Maintainers

100

Latest Version

@mastra/core@1.24.0

Total Releases

77

Repo Age

1y 8mo

Forks

1,883

Fit

Does it support the workflows, patterns, and capabilities your team actually needs?

State Management

no data

Perspective

Your expertise shapes what we build next.

We build for engineers who make real architectural decisions. If something is missing, inaccurate, or could be more useful — we want to hear it.

Last updated: 14 April 2026

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