Which is more popular, ragflow or xiaohongshu-mcp?

ragflow has more GitHub stars (91,600 vs 16,085).

Which is more actively developed, ragflow or xiaohongshu-mcp?

ragflow had more commits in the last 90 days (2,665 vs 67).

Should I use ragflow or xiaohongshu-mcp?

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.

ragflow vs xiaohongshu-mcp

Side-by-side comparison of two AI agent tools

Short answer

ragflow is growing faster: +2,412 GitHub stars in the last 30 days vs +300 for xiaohongshu-mcp.
Pick ragflow for: open-source RAG engine combining knowledge retrieval and agent capabilities for LLMs. Pick xiaohongshu-mcp for: mCP for xiaohongshu.com.

From GitHub data refreshed daily.

ragflowopen-source

Open-source RAG engine combining knowledge retrieval and agent capabilities for LLMs

xiaohongshu-mcpopen-source

MCP for xiaohongshu.com

Metrics

	ragflow	xiaohongshu-mcp
Stars	91.6k	16.1k
Star velocity /mo	2.4k	300
Commits (90d)	2.7k	67
Releases (6m)	10	10
Overall score	0.9150811116917444	0.6923990937577467

Pros

+结合了先进的RAG技术和Agent能力，提供比传统RAG更强大的功能
+开源且拥有活跃社区支持，GitHub星数超过7.6万，可信度高
+提供云服务和Docker容器化部署，支持多种部署方式

Cons

-作为相对复杂的RAG系统，可能需要一定的技术背景才能充分配置和优化
-大规模部署可能需要相当的计算资源和存储空间

Use Cases

•企业知识库问答系统，基于内部文档为员工提供智能查询服务
•智能客服系统，结合产品文档和FAQ提供准确的客户支持
•研究助手应用，帮助研究人员从大量学术文献中检索相关信息

View ragflow Details View xiaohongshu-mcp Details

FAQ

Which is more popular, ragflow or xiaohongshu-mcp?: ragflow has more GitHub stars (91,600 vs 16,085).
Which is more actively developed, ragflow or xiaohongshu-mcp?: ragflow had more commits in the last 90 days (2,665 vs 67).
Should I use ragflow or xiaohongshu-mcp?: 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.