LangGraph vs Swarms
Side-by-side comparison of two AI agent tools
Short answer
- LangGraph is growing faster: +2,370 GitHub stars in the last 30 days vs +173 for Swarms.
- Pick LangGraph for: build resilient language agents as graphs. Pick Swarms for: the Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework.
From GitHub data refreshed daily.
LangGraphopen-source
Build resilient language agents as graphs.
Swarmsopen-source
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai
Metrics
| LangGraph | Swarms | |
|---|---|---|
| Stars | 42.6k | 7.2k |
| Star velocity /mo | 2.4k | 173.17460317460316 |
| Commits (90d) | 128 | 284 |
| Releases (6m) | 10 | 0 |
| Overall score | 0.8220244037908294 | 0.6144522274406794 |
Pros
- +Durable execution ensures agents automatically resume from exactly where they left off after failures or interruptions
- +Comprehensive memory system with both short-term working memory for ongoing reasoning and long-term persistent memory across sessions
- +Seamless human-in-the-loop capabilities allow for inspection and modification of agent state at any point during execution
- +企业级架构设计,提供99.9%运行时间保证和高可用性系统,适合生产环境部署
- +支持多种编排模式,包括分层智能体群、并行处理和图形化网络,灵活适应不同场景
- +完善的向后兼容性和无缝集成能力,降低企业迁移成本和风险
Cons
- -Low-level framework requires more technical expertise and setup compared to high-level agent builders
- -Graph-based agent design paradigm may have a steeper learning curve for developers new to agent orchestration
- -Production deployment complexity may be overkill for simple chatbot or single-turn use cases
- -作为企业级框架可能存在学习曲线陡峭的问题,需要一定的技术背景
- -复杂的架构可能导致初期配置和部署较为繁琐
- -文档和示例可能不够完善,新手入门可能需要更多学习资源
Use Cases
- •Long-running autonomous agents that need to persist through system failures and operate over days or weeks
- •Complex multi-step workflows requiring human oversight, approval, or intervention at specific decision points
- •Stateful agents that must maintain context and memory across multiple sessions and interactions
- •企业级业务流程自动化,通过多智能体协作处理复杂的工作流程
- •大规模数据处理和分析任务,利用并行处理管道提升处理效率
- •客户服务自动化系统,部署分层智能体群处理多层次的客户询问和支持
FAQ
- Which is more popular, LangGraph or Swarms?
- LangGraph has more GitHub stars (42,605 vs 7,227).
- Which is more actively developed, LangGraph or Swarms?
- Swarms had more commits in the last 90 days (284 vs 128).
- Should I use LangGraph or Swarms?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.