Mastra

Mastra is a TypeScript framework for building AI agents and applications

Texto original de la fuente · EN

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Interfaz del producto

Inspect a small evaluation dataset

The author’s fictional refund-policy tutorial shows five inputs and their expected criteria in Studio.

Mastra Studio dataset view with five refund-policy inputs and ground-truth criteria
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Licencia

Lossless PNG-to-WebP conversion; original dimensions and decoded pixels preserved. No crop, upscale or independent site run. Fictional tutorial dataset; no real customer refund case or site-run evaluation is asserted.

Portions of this software are licensed as follows:

- All content that resides under any directory named `ee/` within this
  repository, including but not limited to:
  - `@mastra/core/auth/ee`
  - `@mastra/core/agent-builder/ee`
  - `@mastra/editor/ee`

  is licensed under the license defined in [`ee/LICENSE`](https://github.com/mastra-ai/mastra/blob/main/ee/LICENSE).

- All third-party components incorporated into the Mastra Software are
  licensed under the original license provided by the owner of the
  applicable component.

- Content outside of the above-mentioned directories or restrictions is
  available under the "Apache License 2.0" as defined below.

# Apache License 2.0

Copyright (c) 2025 Kepler Software, Inc.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
Interfaz del producto

Review results and the scoring pipeline

The tutorial’s baseline screen connects a five-case dataset, agent and correctness scorer. Displayed scores belong to that example.

Mastra Studio experiment results showing a dataset-agent-scorer pipeline and five case scores
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Licencia

Lossless PNG-to-WebP conversion; original dimensions and decoded pixels preserved. No crop, upscale or independent site run. Author-published tutorial results, not a general benchmark or an independent site performance claim.

Portions of this software are licensed as follows:

- All content that resides under any directory named `ee/` within this
  repository, including but not limited to:
  - `@mastra/core/auth/ee`
  - `@mastra/core/agent-builder/ee`
  - `@mastra/editor/ee`

  is licensed under the license defined in [`ee/LICENSE`](https://github.com/mastra-ai/mastra/blob/main/ee/LICENSE).

- All third-party components incorporated into the Mastra Software are
  licensed under the original license provided by the owner of the
  applicable component.

- Content outside of the above-mentioned directories or restrictions is
  available under the "Apache License 2.0" as defined below.

# Apache License 2.0

Copyright (c) 2025 Kepler Software, Inc.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
Interfaz del producto

Compare answers from two experiments

The author’s comparison view places input, answers and judge explanations side by side for one fictional refund-policy case.

Mastra Studio side-by-side experiment comparison with input, outputs and scorer explanations
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Licencia

Lossless PNG-to-WebP conversion; original dimensions and decoded pixels preserved. No crop, upscale or independent site run. Retained source labels and timings describe only the illustrated tutorial case. No model ranking or measured site result is inferred.

Portions of this software are licensed as follows:

- All content that resides under any directory named `ee/` within this
  repository, including but not limited to:
  - `@mastra/core/auth/ee`
  - `@mastra/core/agent-builder/ee`
  - `@mastra/editor/ee`

  is licensed under the license defined in [`ee/LICENSE`](https://github.com/mastra-ai/mastra/blob/main/ee/LICENSE).

- All third-party components incorporated into the Mastra Software are
  licensed under the original license provided by the owner of the
  applicable component.

- Content outside of the above-mentioned directories or restrictions is
  available under the "Apache License 2.0" as defined below.

# Apache License 2.0

Copyright (c) 2025 Kepler Software, Inc.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

Descripción del producto

Build, observe, and improve agents that run for days with Mastra, the leading TypeScript agent framework.

Texto original de la fuente · EN
FUNCIONES INDICADAS POR LA FUENTE

Qué ofrece Mastra

  1. 01Define typed agents and tools
  2. 02Compose workflows and memory
  3. 03Inspect traces and evaluations
Texto original de la fuente · EN
Qué lo diferencia

Qué lo diferencia

It serves code-based agent development with runtime and observability components. Teams still own application logic, integration testing and deployment choices.

Texto original de la fuente · EN
Para quién es adecuado

Para quién es adecuado

  • Developers building AI-enabled applications
  • Teams managing repeatable AI workflows
Texto original de la fuente · EN
ANTES DE ELEGIR

Qué comprobar

  • Prueba una tarea real y compara el resultado con tus necesidades.
  • Comprueba qué datos se guardan, comparten o usan para entrenar.
  • Confirma precios, límites de uso y condiciones de cancelación en el sitio oficial.
Última verificación

Enlace oficial comprobado el 9 nov 2026. Las funciones no se han probado de forma independiente.

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