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

LangGraphSwarms
Stars42.6k7.2k
Star velocity /mo2.4k173.17460317460316
Commits (90d)128284
Releases (6m)100
Overall score0.82202440379082940.6144522274406794

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.