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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.
LangGraphFramework for building stateful, controllable AI agents
MastraTypeScript framework for AI agentsWhich 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.