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 for building AI agents and applications, abstracting away LLM complexities. It provides a structured approach for defining agents and tools, integrating with various LLM providers. Developers can quickly set up projects, leveraging templates and a Studio UI for management.

Best For

Building AI agents and applications, embedding in products, customer support, and internal copilots.

Avoid If

Avoid if you are not building AI agents or prefer to avoid TypeScript.

Strengths

  • +TypeScript-first framework for robust type checking and developer experience.
  • +Structured agent and tool definition via dedicated classes and functions (Agent, createTool).
  • +Integrated model router supports multiple LLM providers and thousands of models through a consistent API.
  • +Automated environment variable handling for LLM API keys simplifies setup.
  • +Includes an interactive UI, Mastra Studio, for building, testing, and managing agents and workflows.
  • +Provides quickstart commands, framework integration guides, and pre-built templates for common use cases.
  • +Tools enforce input and output schemas using Zod for data validation.

Weaknesses

  • Requires a Node.js and TypeScript development environment.
  • Tools must be defined with 'createTool()' and specific properties; plain objects silently fail execution.
  • Specific 'provider/model' string format must be followed for LLM models.
  • Abstracts LLM provider SDKs, potentially limiting direct access to provider-specific advanced features.

Project Health

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

Stars

27,387

Open Issues

506

Last Commit

0d ago

Commit Frequency

25x/week

Bus Factor Score

9 / 10

Maintainers

100

Latest Version

@mastra/core@1.60.0

Total Releases

100

Repo Age

2y

Forks

2,679

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: 24 August 2026

·

FrameworkPicker — The technical decision engine for the agentic AI era.