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

ragflow has more GitHub stars (91,555 vs 45,551).

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

ragflow had more commits in the last 90 days (2,698 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

codebase-memory-mcpopen-source

High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries

ragflowopen-source

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

Metrics

	codebase-memory-mcp	ragflow
Stars	45.6k	91.6k
Star velocity /mo	3.8k	2.4k
Commits (90d)	2.1k	2.7k
Releases (6m)	10	10
Overall score	0.912298123773986	0.8906881289739668

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 (91,555 vs 45,551).
Which is more actively developed, codebase-memory-mcp or ragflow?: ragflow had more commits in the last 90 days (2,698 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.