Chaindesk vs Dify
Side-by-side comparison of two AI agent tools
Short answer
- Chaindesk has had no commit in 27 months; Dify is actively maintained (2,369 commits in the last 90 days).
- Dify is growing faster: +3,637 GitHub stars in the last 30 days vs +4 for Chaindesk.
- Pick Chaindesk for: the no-code platform for building custom LLM Agents. Pick Dify for: production-ready platform for agentic workflow development.
From GitHub data refreshed daily.
Chaindeskfree
The no-code platform for building custom LLM Agents
Difyfree
Production-ready platform for agentic workflow development.
Metrics
| Chaindesk | Dify | |
|---|---|---|
| Stars | 3.0k | 157.8k |
| Star velocity /mo | 3.9473684210526314 | 3.6k |
| Commits (90d) | 0 | 2.4k |
| Releases (6m) | 0 | 9 |
| Overall score | 0.1751288334186123 | 0.8805791472432994 |
Pros
- +No-code approach potentially makes LLM agent creation accessible to non-developers
- +Moderate GitHub community interest with 2940 stars
- +Focuses specifically on custom LLM agents rather than general AI tools
- +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
- -Extremely limited documentation makes evaluation difficult
- -Unclear what specific features or capabilities are actually provided
- -Cannot assess reliability, performance, or production readiness from available information
- -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
- •Building chatbots or conversational agents without coding
- •Creating custom AI assistants for specific business needs
- •Prototyping LLM-powered applications through visual interfaces
- •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, Chaindesk or Dify?
- Dify has more GitHub stars (157,757 vs 2,965).
- Which is more actively developed, Chaindesk or Dify?
- Dify had more commits in the last 90 days (2,369 vs 0).
- Should I use Chaindesk or Dify?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.