Mastra
Open-source TypeScript AI agent framework with agents, step-based workflows, RAG pipelines, and built-in evals for type-safe AI application development.
Mastra is an open-source TypeScript framework for building production AI applications with agents, multi-step workflows, retrieval-augmented generation, and integrated evaluations. Unlike Python-first frameworks, Mastra is built natively in TypeScript with full type safety, making it a natural fit for Node.js and Next.js teams that want AI capabilities without switching languages or runtime environments. The framework provides a declarative workflow DSL for chaining steps with conditional branching and retry logic, a vector store abstraction for RAG, and 100+ pre-built tool integrations. Mastra ships with a local development server that renders a graph visualization of agent and workflow runs for real-time debugging.
Key Features
- TypeScript-native with full type inference across agents, tools, and workflow steps - no type stubs or workarounds
- Step-based workflow DSL with parallel execution, conditional branching, and per-step retry and error handling
- Agent memory with short-term context, semantic search over conversation history, and persistent storage backends
- RAG pipeline primitives including document chunking, embedding, vector store upsert, and retrieval in one package
- Built-in evals framework for measuring agent output quality with LLM-as-judge and custom scoring metrics
- 100+ pre-built tool integrations covering GitHub, Slack, Notion, Airtable, and other common SaaS APIs
- Local dev server with graph visualization of agent conversations and workflow execution for real-time debugging
Use Cases
- Node.js and Next.js teams adding AI agents to existing TypeScript stacks without adopting a Python dependency
- Startups building customer-facing AI features that need reliable workflow orchestration with type-safe contracts
- Full-stack engineers prototyping RAG applications over internal documents with minimal infrastructure setup
- Teams that want integrated evals alongside agents to continuously measure and improve output quality in development
Pros
- TypeScript-first design gives Node.js teams full type safety across AI logic - no type-stripping or any-casting
- Built-in evals let developers measure agent quality inside the same framework rather than wiring a separate eval tool
- Local dev server graph visualization makes debugging multi-step agentic workflows significantly faster than log-reading
Cons
- Younger ecosystem with fewer community tutorials and less third-party content compared to LangChain or LlamaIndex
- Python-based teams have no equivalent benefit - Mastra's TypeScript advantage is only meaningful in Node environments
- Managed cloud hosting not included - teams must deploy and operate their own infrastructure for production workloads
Mastra Alternatives
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