private-gpt vs SiYuan

Side-by-side comparison of two AI agent tools

private-gptopen-source

Interact with your documents using the power of GPT, 100% privately, no data leaks

S
SiYuanopen-source

An open-source, privacy-first, self-hosted knowledge workspace where humans and AI agents work together 开源、隐私优先、自托管的知识工作空间，让人与智能体在此协作

Metrics

private-gptSiYuan
Stars57.6k46.6k
Star velocity /mo56.1497326203208543.9k
Commits (90d)624.9k
Releases (6m)410
Overall score0.5448658692946460.9271708503527412

Pros

  • +Complete data privacy with 100% local processing and no external data transmission
  • +Production-ready with comprehensive API following OpenAI standards and streaming support
  • +Flexible architecture offering both high-level RAG pipeline and low-level API for custom implementations

    Cons

    • -Requires significant local compute resources to run LLMs effectively
    • -Setup complexity may be challenging for non-technical users
    • -Limited to documents that can be processed and stored locally

      Use Cases

      • •Enterprise document analysis for regulated industries requiring complete data privacy
      • •Offline research and document querying in environments without internet connectivity
      • •Building custom AI applications with contextual document understanding without cloud dependencies
        View private-gpt DetailsView SiYuan Details

        FAQ

        Which is more popular, private-gpt or SiYuan?
        private-gpt has more GitHub stars (57,554 vs 46,580).
        Which is more actively developed, private-gpt or SiYuan?
        SiYuan had more commits in the last 90 days (4,873 vs 62).
        Should I use private-gpt or SiYuan?
        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.