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LangChain vs Mastra

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors. Both have a free tier. Only Mastra ships a public API.

LangChainMIT-licensed Python/JavaScript framework for building LLM agents, with 1,000+ model and tool integrationsMastraOpen-source TypeScript framework for building, running, and observing AI agents in production.

Side by side

FactLangChainMastra
CategoryLLM Orchestration FrameworksLLM Orchestration Frameworks
Pricing modelFreeFreemium
Public APINoYes
PlatformsmacOS, Windows, LinuxWeb, API
CompanyLangChain, Inc.Mastra
Launched20222024
Last verifiedSep 6, 2026Sep 1, 2026

What our research says

LangChain

The default starting point for agent development: no other framework matches its integration catalog, documentation volume or hiring-market familiarity. The catch is churn and depth — major versions have repeatedly rewritten core APIs, and once you need observability or managed deployment you are steered toward the paid LangSmith platform.

Pros

  • Integrations for 1,000+ models, tools, vector stores and databases
  • MIT license with a large contributor community
  • LangGraph runtime adds persistence, rewind and human-in-the-loop control
  • Python and JavaScript keep parity for most features

Cons

  • History of breaking API changes between major versions
  • Layers of abstraction complicate debugging versus direct SDK calls
  • Production observability and deployment funnel into commercial LangSmith

Mastra

Mastra brings the same team that scaled Gatsby to millions in revenue into the agent-framework space, and the open-source core with a large provider list is a credible starting point for TypeScript teams. It competes directly with more established orchestration frameworks, so the deciding factor is usually which one already fits a team's existing stack.

Pros

  • Apache 2.0 open-source core with a large, active GitHub following
  • Built-in workflow, memory, and observability primitives rather than requiring separate tools
  • Backed by experienced founders and well funded, reducing near-term abandonment risk

Cons

  • TypeScript-only, so it does not serve Python-first agent teams
  • Enterprise licensing terms and pricing are not published publicly
  • Being newer than incumbents like LangChain means a smaller base of production war stories

Which one fits

Choose LangChain if you need

  • Teams prototyping agents quickly against many models and tools
  • Projects that expect to swap LLM providers without rewrites
  • Developers who want abundant examples, courses and community answers

Choose Mastra if you need

  • TypeScript and JavaScript teams building agents who want to stay in one language end-to-end
  • Developers who want built-in memory and observability rather than assembling them separately

More comparisons

All Mastra alternatives →Browse all LLM Orchestration Frameworks →