planning-with-files vs ragflow

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 +590 for planning-with-files.
  • Pick planning-with-files for: persistent file-based planning and context recovery for AI coding agents and long-running tasks. Pick ragflow for: open-source RAG engine combining knowledge retrieval and agent capabilities for LLMs.

From GitHub data refreshed daily.

p

Persistent file-based planning and context recovery for AI coding agents and long-running tasks

ragflowopen-source

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

Metrics

planning-with-filesragflow
Stars27.3k91.6k
Star velocity /mo5902.4k
Commits (90d)2282.7k
Releases (6m)1010
Downloads (30d, npm + PyPI)2.7K—
Overall score0.77985019151161380.9098521001650974

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 planning-with-files DetailsView ragflow Details

        FAQ

        Which is more popular, planning-with-files or ragflow?
        ragflow has more GitHub stars (91,619 vs 27,264).
        Which is more actively developed, planning-with-files or ragflow?
        ragflow had more commits in the last 90 days (2,666 vs 228).
        Should I use planning-with-files 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.