Mastra
Build production-ready AI agents and workflows in TypeScript with full type safety. Memory, tool calls, and observability included, no Python detour required.
The verdict on Mastra: TypeScript teams who want to build agents and RAG pipelines without switching to a Python environment Mastra is specifically for TypeScript and JavaScript teams who want to build production agents and RAG pipelines without switching to a Python environment. Pricing: Open source / Free.
Best For
TypeScript teams who want to build agents and RAG pipelines without switching to a Python environment
Standout Feature
First-class TypeScript primitives for agent memory and branching workflows, built by the team behind Gatsby
TL;DR
The right choice for JS-first teams specifically, Python-first teams should look at LangChain instead.
Alternatives
Fit Score: use-case reference
How this is scoredMastra scored 1 to 5 on five dimensions for the named use cases below. Part of our catalog-wide use-case reference, not a product-quality review rating.
A TypeScript or JavaScript team that wants to build production agents and RAG pipelines without switching to a Python environment
4.2/5- Capability
- 5/5
- Reliability
- 4/5
- Value
- 5/5
- Ease
- 4/5
- Compatibility
- 3/5
Mastra ships first-class TypeScript primitives for agent memory, tool calling, and branching workflows with full type safety, which the tool's own take says means JS-first teams don't have to learn a new language, and it's fully open source and free.
A Python-first team wanting the largest ecosystem and the most community examples
2.0/5- Capability
- 1/5
- Reliability
- 3/5
- Value
- 3/5
- Ease
- 2/5
- Compatibility
- 1/5
Cons note the ecosystem is younger than LangChain with fewer community examples, and the tool's own take is direct that Python-first teams get no advantage here since it is TypeScript-only.
Editorial judgment grounded in this tool's own published pricing, features, and our existing pros and cons, not a certification or a measured benchmark. Product quality is assessed separately under our review methodology.
Overview
Not yet reviewedProduct quality is assessed from original evidence. How reviews work.
Mastra is a TypeScript-first framework for building AI agents, multi-step workflows, and RAG pipelines, built by the team behind Gatsby. It ships first-class primitives for agent memory, tool calling, branching workflows, and observability in idiomatic TypeScript with full type safety. Runs locally for development and deploys to any Node.js environment or serverless platform without infrastructure lock-in.
The source of the legacy catalog rating and review count has not been substantiated. Neither is presented here as a verified review rating or included in review structured data.
Workflow Fit Scores are separate, use-case-specific editorial judgments, not user-review averages. Read the Fit Score methodology.
- • TypeScript-native: no Python environment required for JS teams
- • Well-architected OSS from experienced maintainers
- • Fully open source with no forced cloud dependency
- • Younger ecosystem than LangChain, fewer community examples
- • TypeScript-only, not suitable for Python-first teams
- • No managed cloud runtime: deployment is self-directed
Key Features
- TypeScript-first agent framework with full type inference
- Built-in agent memory with pluggable storage backends
- Workflow engine for multi-step, branching agent pipelines
- Native RAG support with vector store integrations
- Observability layer with traces, spans, and eval hooks
- Built on Vercel AI SDK: works with any LLM provider
Trust & Data
Verified 2026-09
- Training on your data
- Not publishedMastra is a code framework and orchestration layer where customers bring their own LLM provider keys, and its data processing addendum commits Mastra to processing personal data only per customer instruction and to not selling or sharing personal information, positioning itself as a processor rather than a data controller for customer AI usage. Neither the privacy policy nor the DPA makes an explicit statement about whether any customer data is used for Mastra's own model or product training. Sourcing caveat: Mastra's own privacy policy page is a clearly uncustomized boilerplate template that literally states the policy covers an unrelated company's website, a copy-paste leftover, which undercuts confidence in the rigor of this specific document even though the corporate entity is correctly identified elsewhere.
- Compliance
- Not published
- Retention
- Not published
- Export
- Not published
Sources: mastra.ai/privacy policy, mastra.ai/dpa
As published by the vendor. Verify independently before purchase decisions.
Our Take
The framework ships first-class primitives for agent memory, tool calling, branching workflows, and observability in idiomatic TypeScript with full type safety, which means JS-first teams don't have to learn a new language or maintain a parallel Python environment just to build with LLMs. It's fully open source and free. The ecosystem is younger than LangChain with fewer community examples, and Python-first teams get no advantage here. If your team lives in TypeScript and wants a well-architected agent framework built by experienced maintainers, this is the right starting point.