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Introducing Respan Router

LangGraph vs Mastra (2026)

Updated April 29, 2026

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Overview

Rating
10.0 / 10
Rating
10.0 / 10
Best For
Production engineering teams building reliable, multi-step AI agents at scale with full observability
Best For
TypeScript developers who want a modern framework for building production AI agents
Product Summary

LangGraph is LangChain's graph-based orchestration framework for stateful, multi-step AI agents. Workflows are modeled as directed graphs with nodes and edges, supporting cycles, conditional routing, and durable state. v1.0 released in 2026 with full enterprise certifications. Used in production by Uber, JPMorgan, BlackRock, and Cisco.

Product Summary

Mastra is a TypeScript-first agent framework for building production AI applications. It provides primitives for agents, workflows, RAG, integrations, and memory with a focus on developer experience and type safety. Mastra is designed for full-stack TypeScript developers who want to build AI features without leaving their existing tech stack.

Starting Price
$0Per forever
Starting Price
$0Per month
Free Trial
Yes
Free Trial
Yes
Free Version
Yes
Free Version
Yes
Website

Key features

Core capabilities each platform advertises.

LangGraphLangGraph
  • Graph-based agent workflows with nodes, edges, and conditional routing
  • Cycles, branching, and parallel execution
  • Durable execution with checkpointing and time-travel debugging
  • Human-in-the-loop interrupts for review/approval steps
  • Enterprise certifications and 90M monthly downloads (with LangChain)
MastraMastra
  • TypeScript agent framework
  • Built-in tool calling and workflows
  • Sync engine for agent state
  • Integration marketplace
  • Production-ready agent primitives

Strengths and tradeoffs

What each tool does well, and the limitations to keep in mind.

LangGraphLangGraph

Pros

  • Most production-ready open-source agent framework in 2026
  • Full enterprise certifications + Fortune 500 references
  • Durable execution survives crashes and restarts
  • Time-travel debugging is unique in the space
  • Tight LangChain ecosystem integration

Cons

  • Steeper learning curve than CrewAI or simpler alternatives
  • Paid LangSmith / LangGraph Platform for managed observability
  • Heavier conceptually than minimal frameworks
  • Best with LangChain ecosystem — leaving means losing leverage
MastraMastra

Pros

  • Production-ready platform
  • Good performance
  • Active development
  • Strong features

Cons

  • Enterprise pricing varies
  • Setup complexity
  • Learning curve required

What people are saying

LangGraphLangGraph
AgentFrameworkHub coverageAgentFrameworkHub

LangGraph and AutoGen are the only two frameworks with full enterprise certifications as of 2026. LangChain and LangGraph have 90M monthly downloads and power production at Uber, JPMorgan, BlackRock, and Cisco.

Read full review
MastraMastra
Data not available

LangGraph or Mastra — which should you choose?

Choose LangGraph if you want

  • Production multi-step AI agents at Fortune 500 scale
  • Long-running workflows with durable state across hours/days
  • Human-in-the-loop approval workflows
  • Branching agent decision trees with rollback
  • Cross-tool orchestration with full observability

Choose Mastra if you want

  • TypeScript-native agent development
  • Building AI workflows with tool use
  • Agent state management
  • Production agent deployment
  • Multi-step task automation

Compare LangGraph and Mastra on your own traffic

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1,000+Models
5 minSetup

Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.

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