GPTSwarm vs LangGraph

Side-by-side comparison of two AI agent tools

Short answer

  • GPTSwarm has had no commit in 8 months; LangGraph is actively maintained (132 commits in the last 90 days).
  • LangGraph is growing faster: +2,365 GitHub stars in the last 30 days vs +5 for GPTSwarm.
  • Pick GPTSwarm for: the First Self-Improving Agentic Solution. Pick LangGraph for: build resilient language agents as graphs.

From GitHub data refreshed daily.

GPTSwarmopen-source

🐝 The First Self-Improving Agentic Solution

LangGraphopen-source

Build resilient language agents as graphs.

Metrics

GPTSwarmLangGraph
Stars1.1k42.7k
Star velocity /mo5.3684210526315792.4k
Commits (90d)0132
Releases (6m)010
Downloads (30d, npm + PyPI)—43.7M
Overall score0.183992073618440.8091319530692536

Pros

  • +基于图的架构设计,支持复杂的多智能体协调和任务分解
  • +内置自我改进和优化能力,智能体群体可以自动提升性能
  • +强大的学术背景,ICML2024口头报告论文(top 1.5%),理论基础扎实
  • +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

Cons

  • -偏向研究导向的项目,生产环境就绪度可能不足
  • -复杂的图架构和群体智能概念,学习曲线较陡峭
  • -文档相对有限,可能需要较多时间理解框架机制
  • -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

Use Cases

  • •需要多智能体协调解决复杂问题的场景,如分布式任务处理
  • •群体智能和智能体优化算法的学术研究项目
  • •构建具有自学习能力的领域专用智能体系统
  • •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

FAQ

Which is more popular, GPTSwarm or LangGraph?
LangGraph has more GitHub stars (42,656 vs 1,051).
Which is more actively developed, GPTSwarm or LangGraph?
LangGraph had more commits in the last 90 days (132 vs 0).
Should I use GPTSwarm or LangGraph?
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.
GPTSwarm vs LangGraph (2026): GitHub Stats, Features & Which to Choose