Hive vs langgraph
Side-by-side comparison of two AI agent tools
H
Hiveopen-source
Multi-Agent Harness for Production AI
langgraphopen-source
Framework to build resilient language agents as graphs.
Metrics
| Hive | langgraph | |
|---|---|---|
| Stars | 11.1k | 3.3k |
| Star velocity /mo | 924.5 | 99.3048128342246 |
| Commits (90d) | 22 | 137 |
| Releases (6m) | 8 | 10 |
| Overall score | 0.5979567175921063 | 0.6560457679879924 |
Pros
- +提供可视化的图形控制流,让智能体行为更加透明和可调试,相比黑盒式的自主智能体更易于理解和维护
- +内置人机协作机制和长期记忆支持,适合处理需要人工介入或持续状态的复杂业务流程
- +CLI 工具和预构建智能体模板显著降低了入门门槛,支持从概念验证到生产部署的快速迭代
Cons
- -作为低级框架需要更多的架构设计工作,学习曲线相对陡峭,不如高级抽象框架那样开箱即用
- -主要依赖 LangChain 生态系统,在非 LangChain 技术栈中的集成可能需要额外的适配工作
Use Cases
- •构建需要人工审核和批准的自动化工作流,如内容审核、财务审批或合规检查流程
- •开发具有长期记忆的客服或助理智能体,能够跨会话保持上下文和用户偏好
- •创建复杂的数据处理管道,需要在多个 AI 模型和外部 API 之间协调执行任务
FAQ
- Which is more popular, Hive or langgraph?
- Hive has more GitHub stars (11,094 vs 3,328).
- Which is more actively developed, Hive or langgraph?
- langgraph had more commits in the last 90 days (137 vs 22).
- Should I use Hive 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.