Mastra
What is Mastra?
Mastra is an open-source TypeScript framework for developers and teams building AI-powered applications and agents without switching to Python. It combines FrameworkTS, AI Orchestration, Observability, Studio, Collaborative Studio, Server, Memory Gateway, and Cloud Deployment, with REST API access and integrations like Next.js, Express, Hono, GitHub, Slack, Zapier, Discord, YouTube, and X (Twitter). Pricing runs Free, Pro custom, and Enterprise custom.
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At a glance
- Mastra is best for TypeScript developers who need to build and deploy AI agents with observability.
- Free; Pro custom; Enterprise custom
- Yes — REST API with framework integration support; the vendor says it accepts REST calls.
What does Mastra do?
Mastra is an open-source TypeScript framework for building AI-powered applications and agents. It is aimed at developers and teams that want to ship agent workflows, memory-aware apps, and production deployments without switching to a Python stack. The platform centers on the full lifecycle of agent development, from defining behavior to monitoring and release. Mastra combines a FrameworkTS-first agentic framework with Observability for metrics, logs, and traces, a Studio for collaboration and iteration, a Server for cloud deployment, and a Memory Gateway for persistent context. It also supports REST API access and integration with frameworks, and its ecosystem includes Next.js, Express, Hono, GitHub, Slack, Zapier, Discord, YouTube, and X (Twitter). The project has 23.9k GitHub stars, reports 100+ active projects created, and lists customers such as SoftBank, Plaid, Docker, Elastic, and Replit.
Why use Mastra?
- Observability includes metrics, logs, and traces for diagnosing agent behavior.
- Studio supports collaborative evaluation and iteration instead of solo prompt tinkering.
- Self-hosted enterprise options keep traces, prompts, and outputs inside your environment.
- Memory Gateway preserves context across sessions for stateful agent experiences.
- Named integrations span Next.js, Express, Hono, GitHub, Slack, Zapier, Discord, YouTube, and X (Twitter).
Who is Mastra for?
- TypeScript developers who want to build AI agents without leaving their JavaScript ecosystem.
- Product engineers who need observability, logs, and traces for agent debugging.
- Platform teams who need cloud deployment and self-hosted options for AI systems.
- Collaborative AI builders who need shared evaluation and iteration in Studio.
- Organizations with strict data controls who need self-hosted, VPC-based agent infrastructure.
What are Mastra's key features?
Observability
Tracks metrics, logs, and traces for agent runs so teams can debug failures and understand behavior across deployments.
Studio
Provides a collaborative workspace for evaluating and iterating on agents, helping teams review outputs before shipping changes.
Server
Handles cloud deployment for agents, giving teams a place to run production workloads after development and testing.
Memory Gateway
Adds AI gateway memory so agents can persist conversation context and application state across sessions.
FrameworkTS
Gives developers a TypeScript-first framework for building AI applications and agents in the JavaScript ecosystem.
AI Orchestration
Supports agent behavior, workflows, tools, memory, and instructions for building durable multi-step processes.
Collaborative Studio
Lets teams collaborate, evaluate, and iterate together in Studio, which is useful for shared agent review cycles.
Cloud Deployment
Supports cloud deployment for agents and self-hosted projects, including enterprise controls for VPC-based environments.
What are Mastra's use cases?
TypeScript agent launch
A TypeScript developer uses Mastra to build a first agent project, defining behavior with the FrameworkTS first agentic framework and then validating it in Studio before deployment. The result is a production-ready agent that stays in the JavaScript stack.
Debugging with observability
A product engineer uses Mastra to inspect agent runs with Observability, reviewing metrics, logs, and traces to find where workflows fail. That shortens debugging cycles and makes regressions easier to catch before release.
Self-hosted enterprise deployment
A platform team uses Mastra to deploy agents with Server while keeping data inside its own environment. The Enterprise self-hosted setup supports RBAC, SSO, IAM, and network policy integration for controlled rollouts.
How does Mastra work?
- Start by creating a new agent project in TypeScript with the FrameworkTS first agentic framework, then define the agent's behavior using models, tools, memory, and instructions.
- Build durable multi-step workflows for the agent, using typed control flow to map tasks, branching logic, and repeatable business processes.
- Test and iterate in Studio, where your team can collaborate, evaluate outputs, and refine agent behavior before release.
- Monitor runs in Observability to review metrics, logs, and traces, then use those signals to tune prompts, workflows, and memory handling.
- Deploy the agent with Server or self-hosted infrastructure, then keep improving it as usage grows and context persists through the Memory Gateway.
Frequently asked questions
What is Mastra?
Mastra is a modern TypeScript framework for building AI agents and AI-powered applications. It focuses on the full agent lifecycle, including development, testing, observability, and deployment.
Why choose Mastra over Python frameworks?
Mastra is a more integrated TypeScript development experience. For teams already building in JavaScript or TypeScript, that can reduce context switching while keeping agent code close to the rest of the app.
Is Mastra an agent builder?
Yes. Mastra is specifically designed for building and deploying AI agents, not just wrapping model calls. Its product surface includes FrameworkTS, Studio, Server, and Memory Gateway.
What can you build with Mastra?
You can build AI applications ranging from automated workflows to more complex agent-driven tasks. The vendor also shows templates such as Google Sheet analysis and chat with a database.
Does Mastra have an API?
Yes. Mastra provides a REST API, and the vendor says it supports integration with various frameworks. That makes it easier to connect agent workflows to existing systems.
Can Mastra be self-hosted?
Yes. Mastra offers self-hosted options, including Apache 2.0 licensed free framework usage and enterprise self-hosted features. The enterprise self-hosted setup keeps data in your VPC and adds RBAC, SSO, IAM, and network policy integration.
What integrations does Mastra support?
Mastra lists integrations with Next.js, Express, Hono, GitHub, Slack, Zapier, Discord, YouTube, and X (Twitter). Those connectors help teams plug agents into web apps, internal tools, and distribution channels.
How does Mastra handle observability?
Mastra includes Observability for metrics, logs, and traces. That gives teams a way to inspect agent behavior, debug failures, and monitor production runs over time.
Is there a free version of Mastra?
Yes. Mastra has a free tier, and the open-source framework is available at no cost. The pricing page also lists paid Pro and Enterprise options for teams that need more.
What security features are available?
Mastra's enterprise self-hosted offering includes RBAC, SSO, IAM, and network policy integration. It also states that no traces, prompts, or outputs leave your environment when self-hosted in your VPC.
Editor's read
Check whether your deployment needs self-hosted or VPC-based controls before committing. Those enterprise controls exist, but pricing is custom, so confirm the security and infrastructure requirements that trigger the Enterprise path.
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