knowledge-gpt vs private-gpt
Side-by-side comparison of two AI agent tools
Short answer
- knowledge-gpt has had no commit in 37 months; private-gpt is actively maintained (62 commits in the last 90 days).
- private-gpt is growing faster: +56 GitHub stars in the last 30 days vs +-4 for knowledge-gpt.
- Pick knowledge-gpt for: accurate answers and instant citations for your documents. Pick private-gpt for: interact with your documents using the power of GPT, 100% privately, no data leaks.
From GitHub data refreshed daily.
knowledge-gptopen-source
Accurate answers and instant citations for your documents.
private-gptopen-source
Interact with your documents using the power of GPT, 100% privately, no data leaks
Metrics
| knowledge-gpt | private-gpt | |
|---|---|---|
| Stars | 1.6k | 57.6k |
| Star velocity /mo | -3.7894736842105265 | 55.89473684210526 |
| Commits (90d) | 0 | 62 |
| Releases (6m) | 0 | 4 |
| Overall score | 0.10861700850703523 | 0.5274831341481462 |
Pros
- +Provides instant citations with answers, ensuring transparency and verifiability of information sources
- +Easy local deployment with both Poetry and Docker installation options, giving users full control over their data
- +Built on established frameworks (Streamlit + Langchain) with active development and clear roadmap for advanced features
- +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 paid OpenAI API key for optimal performance and to avoid rate limits
- -Limited to 25MB file upload size in the hosted version, which may restrict use with larger documents
- -Currently supports limited document formats, though expansion is planned on the roadmap
- -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
- •Academic research where scholars need to quickly find and cite specific information from multiple research papers
- •Legal document review where attorneys need to extract relevant clauses and precedents with exact citations
- •Corporate knowledge management where teams need to query internal documentation and reports for specific information
- •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
FAQ
- Which is more popular, knowledge-gpt or private-gpt?
- private-gpt has more GitHub stars (57,558 vs 1,628).
- Which is more actively developed, knowledge-gpt or private-gpt?
- private-gpt had more commits in the last 90 days (62 vs 0).
- Should I use knowledge-gpt 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.