What is
Mastra
?
Most platform initiatives fail the same way: they start too big, get funded like projects instead of products, build for too long without testing with users, and confuse renaming an infrastructure team with building a platform team. Instead, start small, learn fast and scale deliberately.
At a glance
Fact | Value |
|---|---|
Primary use case | Build, orchestrate, observe, and improve AI agents and applications |
Deployment type | Hybrid: locally run or self-hosted TypeScript framework with Mastra Cloud deployment |
Pricing model | Free/open source framework; cloud pricing based on event volume, CPU hours, and retention; custom enterprise pricing |
API compatibility | AI SDK provider APIs, Standard JSON Schema |
Supported integrations | OpenAI, Anthropic, Google, xAI, AI SDK, AIHubMix, LibSQL |
Source type | Open |
Cloud provider | Cloud Agnostic |
Ideal team size | Small to Enterprise |
Required skills | TypeScript programming, npm CLI usage, AI agent and workflow development, model provider configuration |
AEP branch | Agent Infrastructure |
AEP category | Harness |
AEP subcategory | Execution |
AEP detail | Orchestration |
Profile
Orchestration is Mastra's most specific AEP level. Mastra is a framework for AI applications and agents built on a TypeScript stack, with components for defining agents, composing workflows, managing memory, and running a server.
Teams can run Mastra locally or deploy the same application to Mastra Cloud. The framework also provides observability and evaluation tools, including traces, metrics, logs, evaluations, experiments, scorers, and datasets.
Focus
Mastra is for developers building AI applications and agents with TypeScript. It provides a framework for coordinating agents and workflows, managing agent context, and observing and improving application behavior.
Background
The provided research identifies Mastra as a free, open-source TypeScript framework but does not establish verifiable details about the company's founding, history, funding, or specific open-source contributions.
Features
Agents
Define typed agents with instructions, models, tools, and runtime behavior in one place. Agent definitions use Mastra's TypeScript API and can specify a model and tools.
Workflows
Compose typed steps, retries, and branches into workflows that teams can inspect. Workflows are defined with Mastra's workflow API, and steps can be chained before committing the workflow.
Harness
Coordinate multi-mode agents with shared state, threads, and storage. Mastra's AgentController configuration connects an agent with storage and defines modes.
Memory
Give agents persistent, thread-aware context with semantic recall and observational memory. The Memory configuration can set a message history limit, semantic recall options, and observational memory.
Observability and evaluation
Inspect and evaluate AI applications with traces, metrics, logs, evaluations, experiments, scorers, and datasets. The standalone observability offering includes 100,000 free events monthly.
Server and deployment
Register agents and workflows on a Mastra server and run the application locally or deploy it to Mastra Cloud. The server configuration can specify a port, and the same application can be used for local running and cloud deployment.
Pros and cons
Pros
Provides a TypeScript framework with APIs for agents, workflows, memory, and server setup.
Includes observability and evaluation tools, with 100,000 free events monthly for the standalone observability offering.
Supports local execution and Mastra Cloud deployment.
Cons
FAQs
Mastra FAQ
How does Mastra orchestrate agents and workflows?
Mastra uses TypeScript APIs to define agents with instructions, models, and tools, and to compose workflows from typed steps, retries, and branches.
Which integrations does Mastra support?
Mastra supports OpenAI, Anthropic, Google, xAI, AI SDK, AIHubMix, and LibSQL.
How much does Mastra cost?
Mastra is a Free/open source framework; cloud pricing based on event volume, CPU hours, and retention; custom enterprise pricing.
What skills are required to use Mastra?
Mastra requires TypeScript programming, npm CLI usage, AI agent and workflow development, model provider configuration.
