Which is more popular, codebase-memory-mcp or ragflow?

ragflow has more GitHub stars (91,600 vs 45,666).

Which is more actively developed, codebase-memory-mcp or ragflow?

ragflow had more commits in the last 90 days (2,665 vs 2,093).

Should I use codebase-memory-mcp or ragflow?

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.

codebase-memory-mcp vs ragflow

Side-by-side comparison of two AI agent tools

Short answer

Pick codebase-memory-mcp for: mCP server indexing codebases into a persistent knowledge graph with tree-sitter and hybrid LSP. Pick ragflow for: open-source RAG engine combining knowledge retrieval and agent capabilities for LLMs.

From GitHub data refreshed daily.

codebase-memory-mcpopen-source

MCP server indexing codebases into a persistent knowledge graph with tree-sitter and hybrid LSP

ragflowopen-source

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

Metrics

	codebase-memory-mcp	ragflow
Stars	45.7k	91.6k
Star velocity /mo	1.7k	2.4k
Commits (90d)	2.1k	2.7k
Releases (6m)	10	10
Overall score	0.906371149690189	0.9150811116917444

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 codebase-memory-mcp Details View ragflow Details

FAQ

Which is more popular, codebase-memory-mcp or ragflow?: ragflow has more GitHub stars (91,600 vs 45,666).
Which is more actively developed, codebase-memory-mcp or ragflow?: ragflow had more commits in the last 90 days (2,665 vs 2,093).
Should I use codebase-memory-mcp or ragflow?: 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.