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LangGraph vs Mastra
Side-by-side comparison of LangGraph and Mastra — features, pricing, performance scores, and which to choose for your AI agents.
View All Framework ComparisonsQuick Verdict
| Dimension | LangGraph | Mastra | Winner |
|---|---|---|---|
Ease of Use | 3/5 | 4/5 | Mastra |
Scalability | 5/5 | 4/5 | LangGraph |
Documentation | 4/5 | 4/5 | Tie |
Community | 4/5 | 3/5 | LangGraph |
Performance | 5/5 | 4/5 | LangGraph |
Overall: LangGraph wins 3 categories, Mastra wins 1, 1 tied
Feature Comparison
| Feature | LangGraph | Mastra |
|---|---|---|
| Primary Language | Python | TypeScript |
| License | MIT | MIT |
| Pricing | Open Source + Commercial | Open Source |
| GitHub Stars | 19,900 | 7,500 |
| Difficulty | Advanced | Intermediate |
| Enterprise Ready | ||
| Community Size | Large | Medium |
| Category | Multi-Agent Systems | Multi-Agent Systems |
Pros & Cons
LangGraph
Advantages
Full control over agent behavior with low-level primitives
Excellent for complex non-linear workflows
Built-in state persistence and memory management
Production-proven by major companies (Klarna Uber LinkedIn)
Strong streaming and observability features
Human-in-the-loop support is first-class
Can be used standalone or with LangChain
MIT licensed with commercial platform option
Limitations
Steeper learning curve than LangChain
Requires understanding of graph theory concepts
May be overkill for simple linear workflows
Smaller community than LangChain (but growing)
Some advanced features require LangGraph Platform
Documentation still maturing compared to LangChain
More complex setup for basic use cases
Mastra
Advantages
TypeScript-first framework
Good for JavaScript developers
YC-backed with funding
MIT license
Quick development focus
Limitations
Very new framework
Small community
Limited documentation
Fewer integrations than Python frameworks
Best Use Cases
LangGraph
Complex customer support workflows with escalation
Multi-agent research and analysis systems
Task management and orchestration
Long-running business process automation
Interactive assistants with memory
Decision support systems with conditional logic
Mastra
TypeScript AI applications
Next.js AI integrations
Node.js agent systems
Rapid MVP development
Getting Started
LangGraph
Installation
pip install langgraph
Mastra
Installation
npm install @mastra/core
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