Mastra
TypeScript-first AI agent framework. Workflows, RAG, tool use, evals, and integrations. Built for production Node.js apps. Open-source.
Mastra is an open-source TypeScript framework for building AI agents and workflows in Node.js. It provides first-class primitives for tool calling, RAG pipelines with vector storage, multi-step workflows with branching and loops, and built-in evaluation harnesses for testing agent behavior. The developer experience is TypeScript-native throughout, with full type safety on tools, schemas, and workflow steps. It integrates with multiple LLM providers through a unified interface and includes connectors for common services like databases and APIs. For TypeScript developers who find LangChain too Python-centric and the Vercel AI SDK too low-level for complex agent patterns, Mastra fills the gap with a batteries-included approach.
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TypeScript-first AI agent framework. Workflows, RAG, tool use, evals, and integrations. Built for production Node.js apps. Open-source.
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Vercel AI SDK
The TypeScript toolkit for building AI apps. Unified API across OpenAI, Anthropic, Google. Streaming, tool calling, structured output, multi-step agents. 50K+ GitHub stars.
Claude Agent SDK
Anthropic's Python SDK for building production agent systems. Tool use, guardrails, agent handoffs, and orchestration. Released alongside Claude 4.
LangChain / LangGraph
Most popular LLM framework. 100K+ GitHub stars. Chains, RAG, vector stores, tool use. LangGraph adds stateful multi-agent workflows with cycles and persistence.
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