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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.

The short answer

Free plan
Both — LangChain is free to use, Mastra has a free plan
Public API
Mastra has one; not confirmed by us for LangChain
Best fit
LangChain: Teams prototyping agents quickly against many models and tools · Mastra: TypeScript and JavaScript teams building agents who want to stay in one language end-to-end
Platforms
LangChain: macOS, Windows, Linux · Mastra: Web
Trust score
About even — LangChain 94, Mastra 91

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

Side by side

FactLangChainMastra
CategoryLLM Orchestration FrameworksLLM Orchestration Frameworks
Pricing modelFreeFreemium
Starts at—$250/mo
Public APINot confirmedYes
Trust score94 / 10091 / 100
PlatformsmacOS, Windows, LinuxWeb, API
CompanyLangChain, Inc.Kepler Software Inc.
Launched20222024
Last verifiedOct 16, 2026Oct 15, 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

LangChain vs Mastra: the questions people ask

Is LangChain cheaper than Mastra?

LangChain is free to use; Mastra starts at $250/mo.

Does LangChain or Mastra have a free tier?

Both: LangChain is free to use, and Mastra has a free tier.

Which has a public API, LangChain or Mastra?

Mastra ships a public API, as of our last verification. A public API for LangChain is not confirmed by us — check its developer docs before you plan an integration.

All LangChain alternatives →All Mastra alternatives →Browse all LLM Orchestration Frameworks →

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