Dify vs holaOS
Side-by-side comparison of two AI agent tools
Difyfree
Production-ready platform for agentic workflow development.
h
holaOSopen-source
Open-source agentic workspace enterprises can make their own. Connect the systems you already run — 100+ integrations, MCP, chat tools, apps, browser, local fil
Metrics
| Dify | holaOS | |
|---|---|---|
| Stars | 157.6k | 11.5k |
| Star velocity /mo | 3.7k | 954.5833333333334 |
| Commits (90d) | 2.3k | 157 |
| Releases (6m) | 9 | 1 |
| Overall score | 0.8816992920739241 | 0.5793057092530106 |
Pros
- +生产级稳定性和企业级功能支持,适合大规模部署应用
- +可视化工作流编辑器,大幅降低 AI 应用开发门槛
- +活跃的开源社区和丰富的生态系统,持续更新迭代
Cons
- -学习曲线存在,需要时间熟悉平台的各种组件和配置
- -复杂工作流的性能优化需要深入了解平台机制
- -自部署版本需要一定的运维能力和资源投入
Use Cases
- •企业客服机器人和智能助手的快速开发与部署
- •复杂业务流程的自动化处理,如文档分析、数据处理等
- •知识库问答系统和内容生成应用的构建
FAQ
- Which is more popular, Dify or holaOS?
- Dify has more GitHub stars (157,601 vs 11,455).
- Which is more actively developed, Dify or holaOS?
- Dify had more commits in the last 90 days (2,325 vs 157).
- Should I use Dify or holaOS?
- 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.