Skip to main content
Back to discovery
🧩
Free plan + paidInformation reviewed 2026-10-15

Mastra

Visit Website

About this listing

Product and access model reviewed from current official sources; workflow and example are editorial suggestions, not a hands-on test.

Official source

A TypeScript framework for agents, tools, workflows, memory, and evaluation, with a hosted platform option.

Best suited to

Mastra suits TypeScript developers building a repeatable agent application.

Meet Mastra

Mastra suits TypeScript developers building a repeatable agent application. Tools, workflows and memory give the application more structure than a single model call, while Studio, tracing and evaluations support inspection. It can run on chosen infrastructure or the provider's platform, but deployment and model usage still need explicit configuration.

A practical workflow

  1. Create a small project using the documented TypeScript setup.
  2. Configure a model and one narrowly scoped tool.
  3. Run the agent or workflow locally and inspect its trace.
  4. Add evaluations and failure handling before deploying the task.

Illustrative input

This example describes a task, not a tested output. Adjust the source material and settings to your own situation.

An agent may search an approved document collection and summarize relevant passages, but must not write to external systems without a separate allowed tool.

Result check: Inspect tool arguments and sources, and test what happens when the model or search operation fails.

Access and alternatives

The core framework is Apache-2.0 open-source software, and the hosted platform has a limited recurring Starter option. Paid platform and enterprise features add allowances or controls. Model tokens, storage and compute can cost extra even when framework access is free.

Choose another workflow when its emphasis fits better: CrewAI for another agent orchestration approach; LangSmith for application tracing and evaluation.

Illustrative workspace photo
Illustrative stock photo from Unsplash; not a screenshot of Mastra.

What you can do

TypeScript agents and tools

Structured workflows

Agent memory

Studio development interface

Observability and evaluations

Where it helps

  • TypeScript tools and workflows share a framework
  • Studio and traces support development inspection
  • Self-hosted and managed deployment choices exist

What to consider

  • The application still needs model and infrastructure configuration
  • Hosted free quotas do not include unrestricted production resources

Pricing & free access

Official pricing
Free plan + paid

The core framework is Apache-2.0 open-source software, and the hosted platform has a limited recurring Starter option. Paid platform and enterprise features add allowances or controls. Model tokens, storage and compute can cost extra even when framework access is free.

Plan information can change. Prices and conditions are set by the provider. Information checked 2026-10-15.

Source for access details

Get free-plan changes by email

One email a week: new free AI tools, prompts and free-plan changes. No spam, unsubscribe any time.

Questions about Mastra

Who is Mastra useful for?

Mastra suits TypeScript developers building a repeatable agent application. Tools, workflows and memory give the application more structure than a single model call, while Studio, tracing and evaluations support inspection. It can run on chosen infrastructure or the provider's platform, but deployment and model usage still need explicit configuration.

Does Mastra have continuing free access?

The core framework is Apache-2.0 open-source software, and the hosted platform has a limited recurring Starter option. Paid platform and enterprise features add allowances or controls. Model tokens, storage and compute can cost extra even when framework access is free.

How should I start a small evaluation?

Create a small project using the documented TypeScript setup. Configure a model and one narrowly scoped tool.

What should I check in the result?

Inspect tool arguments and sources, and test what happens when the model or search operation fails.

When should I choose a different workflow?

CrewAI for another agent orchestration approach; LangSmith for application tracing and evaluation.

Did this help you complete your task?

Tell us what needs improving. No account or private output required.

Was this useful?
Report incorrect information or a broken link

Review evidence

Documentation-based review · 2026-10-15

Reviewed from the linked official documentation. The workflow and example are editorial suggestions; no account-level product test or measured performance comparison was performed.

Put it to work

Other tools to consider

Explore all tools

LangSmith helps developers inspect LLM runs and evaluate application behaviour.

Best for: Tracing and evaluating LLM applications

Coding & DevelopmentAI Infrastructure & Developer APIs

Agent build-and-run platform and developer framework for coordinating AI workflows with enterprise deployment options.

Best for: Agent coordination and Workflow orchestration

AI Agents & WorkflowsCoding & Development

A free desktop app where several AI bots chat in one group, each using your own model and API key, with chats and files kept on your computer.

Best for: Teebots is a free local AI assistant for macOS, Windows and Linux.

AI Agents & WorkflowsProductivity & Automation

We use optional cookies for analytics and referral tracking. Learn more about our privacy policy