📖 The AI Tool Bible

LangGraph vs Mastra

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 
LangGraph
Agents
Mastra
Agents
TaglineStateful, graph-based agent orchestration from LangChain.Open-source TypeScript framework for building, deploying, and observing AI agents and workflows.
CategoryAgentsAgents
PricingFreemium· Free open-source; LangGraph Platform paidFreemium· Free open-source core (Apache 2.0); Enterprise license available
ModelBYO (Claude / GPT / open)Multi-model (90+ providers)
Editorial score8.8 / 10—
Use cases
stateful agentshuman-in-loopproduction
ai-agentsworkflow-orchestrationragcopilotsmcp-serversagent-observability
Pros
  • Reliable, debuggable agent graphs
  • Built-in persistence + HITL
  • Production-grade
  • Tight LangSmith integration
  • TypeScript-native, fits cleanly into Next.js/Node stacks
  • Apache 2.0 core with no seat or usage limits
  • Built-in evals, traces, and metrics for agent observability
  • Model router across 90+ LLM providers
  • First-class MCP server support
Cons
  • Steeper learning curve than CrewAI
  • Verbose to set up
  • TypeScript only; Python shops will look elsewhere
  • Younger ecosystem than LangChain/LlamaIndex
  • Enterprise features are source-available, not OSS
Websitewww.langchain.commastra.ai
Pick LangGraph if
  • ✅ Reliable, debuggable agent graphs
  • ✅ Built-in persistence + HITL
  • ✅ Production-grade
  • ✅ Tight LangSmith integration
Pick Mastra if
  • ✅ TypeScript-native, fits cleanly into Next.js/Node stacks
  • ✅ Apache 2.0 core with no seat or usage limits
  • ✅ Built-in evals, traces, and metrics for agent observability
  • ✅ Model router across 90+ LLM providers
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