OpenHuman vs private-gpt

Side-by-side comparison of two AI agent tools

Short answer

  • OpenHuman is growing faster: +2,510 GitHub stars in the last 30 days vs +56 for private-gpt.
  • Pick OpenHuman for: openHuman is the fastest, cheapest, most efficient open-source agent harness. Pick private-gpt for: interact with your documents using the power of GPT, 100% privately, no data leaks.

From GitHub data refreshed daily.

O
OpenHumanopen-source

OpenHuman is the fastest, cheapest, most efficient open-source agent harness. Written in Rust

private-gptopen-source

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

Metrics

OpenHumanprivate-gpt
Stars40.5k57.6k
Star velocity /mo2.5k55.89473684210526
Commits (90d)22.8k62
Releases (6m)104
Overall score0.93082273956958560.5274831341481462

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 OpenHuman DetailsView private-gpt Details

        FAQ

        Which is more popular, OpenHuman or private-gpt?
        private-gpt has more GitHub stars (57,558 vs 40,486).
        Which is more actively developed, OpenHuman or private-gpt?
        OpenHuman had more commits in the last 90 days (22,774 vs 62).
        Should I use OpenHuman or private-gpt?
        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.