Mastra
Build production-ready AI agents and workflows in TypeScript with full type safety. Memory, tool calls, and observability included — no Python detour required.
Mastra — the verdict: 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. Last reviewed: August 2026.
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
Verdict
The right choice for JS-first teams specifically, Python-first teams should look at LangChain instead.
Alternatives
Overview
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.
Our Take
Mastra is specifically for TypeScript and JavaScript teams who want to build production agents and RAG pipelines without switching to a Python environment. 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.
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
- • 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
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