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LangGraph vs SmolAgents
Side-by-side comparison of LangGraph and SmolAgents — features, pricing, performance scores, and which to choose for your AI agents.
View All Framework ComparisonsQuick Verdict
| Dimension | LangGraph | SmolAgents | Winner |
|---|---|---|---|
Ease of Use | 3/5 | 4/5 | SmolAgents |
Scalability | 5/5 | 3/5 | LangGraph |
Documentation | 4/5 | 4/5 | Tie |
Community | 4/5 | 3/5 | LangGraph |
Performance | 5/5 | 4/5 | LangGraph |
Overall: LangGraph wins 3 categories, SmolAgents wins 1, 1 tied
Feature Comparison
| Feature | LangGraph | SmolAgents |
|---|---|---|
| Primary Language | Python | Python |
| License | MIT | Apache-2.0 |
| Pricing | Open Source + Commercial | Open Source |
| GitHub Stars | 19,900 | 5,000 |
| 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
SmolAgents
Advantages
Extremely lightweight and minimal
Code agents write actions in code
Easy to understand core logic (~1000 lines)
HuggingFace ecosystem integration
Apache 2.0 license
Limitations
Very new with small community
Limited features compared to mature frameworks
Less production-proven
Minimal documentation
Not suitable for complex enterprise needs
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
SmolAgents
Code-writing agents
Lightweight agent experiments
Research and prototyping
Tool-calling workflows
Minimal overhead applications
Getting Started
LangGraph
Installation
pip install langgraph
SmolAgents
Installation
pip install smolagents
Learn More
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