Which is more popular, ragflow or Supermemory?

ragflow has more GitHub stars (91,619 vs 31,067).

Which is more actively developed, ragflow or Supermemory?

ragflow had more commits in the last 90 days (2,666 vs 187).

Should I use ragflow or Supermemory?

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 Supermemory

Side-by-side comparison of two AI agent tools

Short answer

ragflow is growing faster: +2,402 GitHub stars in the last 30 days vs +280 for Supermemory.
Pick ragflow for: open-source RAG engine combining knowledge retrieval and agent capabilities for LLMs. Pick Supermemory for: memory and context engine + app that is extremely fast, scalable, and can be run fully locally.

From GitHub data refreshed daily.

ragflowopen-source

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

Supermemoryopen-source

Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.

Metrics

	ragflow	Supermemory
Stars	91.6k	31.1k
Star velocity /mo	2.4k	280
Commits (90d)	2.7k	187
Releases (6m)	10	10
Overall score	0.9098521001650974	0.730923354028454

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 Supermemory Details

FAQ

Which is more popular, ragflow or Supermemory?: ragflow has more GitHub stars (91,619 vs 31,067).
Which is more actively developed, ragflow or Supermemory?: ragflow had more commits in the last 90 days (2,666 vs 187).
Should I use ragflow or Supermemory?: 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.