LangGraph vs n8n
Detailed side-by-side comparison to help you choose the right tool
LangGraph
Agent Frameworks
Graph-based stateful orchestration runtime for agent loops.
Starting Price
Custom
n8n
Orchestration & Chains
Workflow automation platform increasingly used for AI agent orchestration.
Starting Price
Custom
Feature Comparison
| Feature | LangGraph | n8n |
|---|---|---|
| Category | Agent Frameworks | Orchestration & Chains |
| Pricing Plans | 19 tiers | 19 tiers |
| Starting Price | ||
| Key Features |
|
|
LangGraph - Pros & Cons
Pros
- ✓State-machine approach provides fine-grained control over agent flows
- ✓Tight integration with the broader LangChain ecosystem
- ✓Built-in persistence for durable, long-running workflows
- ✓Cloud deployment option via LangSmith for production scale
- ✓Supports cyclic graphs enabling iterative agent reasoning
Cons
- ✗Tightly coupled to LangChain — harder to use standalone
- ✗Graph-based paradigm has a learning curve for new developers
- ✗Cloud features require a LangSmith subscription
- ✗Verbose configuration for simple linear workflows
n8n - Pros & Cons
Pros
- ✓Powerful workflow automation with AI agent capabilities
- ✓Extensive library of 400+ pre-built integrations
- ✓Self-hostable with full data control
- ✓Visual builder with code fallback for advanced logic
- ✓Fair-code license balances openness with sustainability
Cons
- ✗AI agent features are newer and less mature than core automation
- ✗Self-hosting requires DevOps expertise for production use
- ✗Complex workflows can become difficult to maintain visually
- ✗Cloud pricing scales with workflow execution volume