What is this website?
Mastra is an open-source AI agent framework for TypeScript developers. It packs agent definitions, multi-step workflows, memory, and observability into one toolchain so prototypes can move into React, Next.js, Node, or a standalone service. Unlike products that only offer a chat box, it fits engineering teams that need code-level control, evaluation, and a clear deployment path.
Key Features
- Define typed agents with instructions, models, and tools
- Compose multi-step workflows with branching, retries, and human approval
- Use memory options such as history and semantic recall across turns
- Inspect runs with built-in traces, metrics, evals, and datasets
- Connect MCP and debug agents/workflows in local Studio
- Self-host or use the cloud Platform for observability and operations
Common Use Cases
- Engineering teams embedding support, internal Q&A, or business assistants into existing TypeScript apps
- Platform groups turning multi-step processes into pause/resume agent workflows
- R&D comparing model/tool calls and regressing outputs with evaluation sets
- Teams shipping agents as standalone services while keeping tracing and cost visibility
Who is it for?
- Application and platform engineers comfortable with TypeScript / Node
- Product engineering teams wiring agents into existing front-end and back-end codebases
- AI platform groups that care about evals, tracing, and production operability
- Less suitable: individuals who only want a web chat and do not want to write code
- Also a weak fit: teams locked to a Python-only stack and unwilling to run TypeScript
How does it compare to similar tools?
If you mainly rely on a Python experimentation stack, Python-oriented frameworks are usually the first stop. If you already ship on React/Next/Node and want agents, workflows, and observability in the same stack, Mastra aligns better. When you need no-code drag-and-drop and do not want to maintain an engineering repo, prefer a visual builder over a framework.
What Our Customers Say
Alex (Full-stack engineer)
A common path is embedding an internal assistant in an existing Next app: you reuse TypeScript types and deployment pipelines, but evals and tracing should be wired early or production behavior is hard to review.
Jordan (Platform engineer)
Focuses on whether workflows can pause for human review and whether model/tool calls are inspectable. The framework reduces assembly cost; permission boundaries and dataset work often take longer.
Sam (Indie developer)
Good for spinning up local Studio from a quickstart. For a one-off chat prototype, the full framework can be heavier than needed.
FAQ
Q: What is Mastra?
A: An open-source TypeScript framework for building AI agents and AI apps, covering workflows, memory, and observability.
Q: Do you need to pay to start?
A: The core framework can be self-hosted under its open-source license. The cloud Platform also has a free starter tier plus paid team/enterprise options; check the official pricing page.
Q: Is it for non-developers?
A: It mainly targets teams that write TypeScript. If you only want a ready-made chat product, it is usually not the first choice.
