Mastra
TypeScript-native AI agent framework for building production AI applications. Mastra provides agents, workflows, tools, RAG, and memory as first-class primitives — all type-safe. Built by the team behind Gatsby. Supports Vercel AI SDK compatible LLM providers, structured output, and integrates with popular TypeScript tooling. Strong focus on developer experience and type safety for Node.js/Next.js AI applications.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Apache 2.0 open-source — fully auditable. Runs in your application — no data sent to Mastra servers. LLM API keys in environment variables. Security posture depends on your application configuration.
⚡ Reliability
Best When
You're building AI agent features in TypeScript/Node.js/Next.js and want a type-safe, developer-friendly framework with batteries-included memory, RAG, and workflow primitives.
Avoid When
You need Python, multi-language support, or a mature framework with proven production scale — LangGraph or CrewAI have larger ecosystems and longer track records.
Use Cases
- • Build TypeScript-native AI agents with strongly-typed tool definitions, memory, and workflows — ideal for Next.js and Node.js applications
- • Create multi-step agent workflows with conditional branching, parallel execution, and error handling using Mastra's workflow primitives
- • Add RAG capabilities to agents using Mastra's built-in vector store integrations (Pinecone, PgVector, etc.) with type-safe document processing
- • Define agent tools with Zod schema validation for type-safe LLM tool calling in TypeScript applications
- • Build production-ready AI features in Next.js apps using Mastra's first-class Next.js integration and Vercel AI SDK compatibility
Not For
- • Python-first teams — Mastra is TypeScript-only; use LangChain, LlamaIndex, or CrewAI for Python agent development
- • Low-code or no-code agent building — Mastra requires TypeScript engineering expertise
- • Large enterprise multi-agent orchestration at scale — Mastra is newer and less battle-tested than LangGraph or Temporal for complex enterprise workflows
Interface
Authentication
No Mastra authentication — it's a library embedded in your application. LLM provider API keys configured via environment variables. Authentication is handled by your application layer.
Pricing
Mastra core is free and open-source. LLM API costs and vector store hosting are the primary expenses. No Mastra licensing fees.
Agent Metadata
Known Gotchas
- ⚠ Mastra is early-stage (v0.x) — breaking changes between minor versions are common; pin exact version
- ⚠ Documentation may lag behind implementation — check GitHub issues and discussions for accurate current behavior
- ⚠ Workflow state management requires careful design — shared state between workflow steps must be explicitly defined
- ⚠ Memory persistence depends on configured storage backend — in-memory storage loses context on restart
- ⚠ TypeScript strict mode required for full type safety — relaxed TypeScript configs may miss type errors in tool definitions
- ⚠ LLM provider compatibility varies — test your specific provider and model combination, not just the abstraction layer
- ⚠ Agent tracing and observability require additional integration (OpenTelemetry) — not built-in by default
Alternatives
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Scores are editorial opinions as of 2026-03-07.