TypeScript-native framework for building AI agents, workflows, and RAG pipelines — from the team behind Gatsby.js.
TypeScript-native framework for building AI agents, workflows, and RAG pipelines — from the team behind Gatsby.js.
Mastra is the TypeScript answer to CrewAI and LangChain: a batteries-included framework for shipping agents, deterministic workflows, evaluations and RAG inside a Node, Next.js, Cloudflare or Vercel app. Built by the team behind Gatsby.js, Mastra gives JavaScript engineers the primitives they used to envy in the Python ecosystem — typed agent definitions, streaming tool calls, durable multi-step workflows with retries and human-in-the-loop steps, memory backed by Postgres or LibSQL, and first-class RAG utilities for chunking, embedding and re-ranking. Where the framework really differentiates is dev ergonomics: a local dev playground renders every agent run as a trace, deterministic workflow visualiser, eval dashboard, and storage inspector, all hot-reloading as you edit your TypeScript files. Mastra is MCP-native both ways — your agents can call any MCP server's tools, and your Mastra workflows can themselves be exposed as MCP servers so Cursor, Claude Code or any MCP client can drive them. Mastra Cloud (currently in preview) layers managed deployment, observability and team collaboration on top. The framework has rapidly become the default choice for TypeScript teams that don't want to context-switch into Python just to ship agents.
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Mastra is best for TypeScript teams that want open-source agent infrastructure with hosted observability, evals, memory, workflows, and deployment without giving up code-level control.
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