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LangGraph vs Mastra

Mastra is a TypeScript framework for AI agents; LangGraph is a low-level orchestration library for Python and JavaScript.

Which to pick

Pick LangGraph if you want…

  • Customizable stateful agent orchestration
  • A free, open-source tool

Pick Mastra if you want…

  • Typed AI agents with built-in observability
  • TypeScript AI agents

Side by side

What it is
LangGraph:LangGraph is an open-source framework for building stateful, controllable AI agents with memory, streaming, and human-in-the-loop support.
Mastra:Mastra is an open-source TypeScript framework for building AI agents with memory, tools, workflows and observability.
Best for
LangGraph:Customizable stateful agent orchestration
Mastra:Typed AI agents with built-in observability
Who it’s for
LangGraph:Developers building complex, production-grade AI agents
Mastra:TypeScript developers building AI-powered applications and agents.
Pricing
LangGraph:Open source
Mastra:Freemium
Plans
LangGraph:—
Mastra:Starter $0 per month · Teams $250 per month
Open source
LangGraph:Yes, 42,570 GitHub stars
Mastra:Yes, 28,481 GitHub stars
Works with
LangGraph:—
Mastra:React, Next.js, Node, LibSQL, Postgres, Vite

LangGraph features

  • Human-in-the-loop controls. Add moderation and approval steps to keep agents on track.
  • Expressive workflow primitives. Create single, multi-agent, or hierarchical flows with low-level building blocks.
  • Persistent memory stores. Maintain conversation history and context across sessions.
  • Token-by-token streaming. Stream agent reasoning and actions in real time for better UX.
  • Model-agnostic runtime. Run agents with any LLM provider using high-level or fine-grained APIs.
  • Open-source MIT license. Free to use and modify without licensing fees.

Mastra features

  • Typed Agents. Define agents with instructions, models, tools and runtime behavior in TypeScript.
  • Workflows. Compose multi-step, retryable, branchable workflows with typed control flow.
  • Harness. Coordinate multi-mode agents with shared state, threads and storage.
  • Memory. Durable observational memory with semantic recall and thread-aware storage.
  • Observability. Logs, metrics, traces, datasets and signals for full runtime insight.
  • Server & Studio. Run agents locally or in Mastra Cloud and manage them via a web studio.

LangGraph vs Mastra FAQ

Is LangGraph or Mastra free?+

LangGraph is free and open source. Mastra has a free plan (Starter); paid plans start at $250/month (Teams).

Which is cheaper, LangGraph or Mastra?+

LangGraph is free, so it costs less. Mastra starts at $250/month (Teams).

Is LangGraph or Mastra open source?+

Yes, both are open source: LangGraph (langchain-ai/langgraph on GitHub, MIT license) and Mastra (mastra-ai/mastra on GitHub).

On DevHunt

Based on each tool's website and DevHunt data. Details may change; check the official sites.