Dify vs SuperAGI
Side-by-side comparison of two AI agent tools
Short answer
- SuperAGI has had no commit in 20 months; Dify is actively maintained (2,338 commits in the last 90 days).
- Dify is growing faster: +3,652 GitHub stars in the last 30 days vs +57 for SuperAGI.
- Pick Dify for: production-ready platform for agentic workflow development. Pick SuperAGI for: < SuperAGI - A dev-first open source autonomous AI agent framework.
From GitHub data refreshed daily.
Difyfree
Production-ready platform for agentic workflow development.
SuperAGIopen-source
<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
Metrics
| Dify | SuperAGI | |
|---|---|---|
| Stars | 157.7k | 17.7k |
| Star velocity /mo | 3.7k | 56.82539682539682 |
| Commits (90d) | 2.3k | 0 |
| Releases (6m) | 9 | 0 |
| Overall score | 0.8905087884899539 | 0.2507547304771036 |
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
- +完整的开源框架生态：提供从开发到部署的全链条工具，包括云服务、扩展市场和API接口
- +活跃的社区支持：拥有Discord社区、Reddit论坛和详细的文档，便于开发者学习和获得帮助
- +多样化的部署选项：既支持自主部署，也提供云端托管服务，适合不同规模的项目需求
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
- -框架复杂性：作为综合性框架，可能对初学者来说学习曲线较陡峭
- -开源项目依赖：框架的更新和维护依赖于社区贡献，可能存在版本兼容性问题
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
- •企业自动化：构建智能客服代理、文档处理代理或业务流程自动化系统
- •开发者工具：创建代码审查代理、测试自动化代理或项目管理助手
- •个人助理应用：开发智能日程管理、信息聚合或任务执行代理
FAQ
- Which is more popular, Dify or SuperAGI?
- Dify has more GitHub stars (157,730 vs 17,702).
- Which is more actively developed, Dify or SuperAGI?
- Dify had more commits in the last 90 days (2,338 vs 0).
- Should I use Dify or SuperAGI?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.