
PrivateGPT
Open-source API layer that turns local models into production private AI applications.
About PrivateGPT
PrivateGPT is an open-source API layer, built by Zylon and following the Claude API model, that turns local LLMs into production-ready private AI applications. It provides higher-level building blocks such as a messages API with streaming, document and artifact ingestion, RAG retrieval with citations, embeddings and orchestration, and custom tools/MCP, so all data stays within your own environment. It ships a built-in workbench UI and works with any OpenAI-compatible local inference server like Ollama, llama.cpp, vLLM, and LocalAI.
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Run your own AI (but private)
Commonly Cited Strengths & Limitations
Strengths
- Keeps sensitive data fully local and private
- Open source and free to use
- OpenAI-compatible API for easy integration
- Works out of the box with both an API and a UI
Common Use Cases
- Secure internal knowledge base querying
- Private sales and business development intelligence
- On-premise AI application development and secure testing
- Deploying department-specific AI assistants
- Chatting with private documents offline
- Building RAG experiences with citations
- Powering private AI workflows through automation platforms like n8n
Details
- Pricing Model
- Free
- Team Size
- Small Business, Enterprise
- Category
- Developer Tools
Key Features
- Standard messages API with streaming, async processing, and token counting
- File and artifact ingestion for use as context
- Retrieval-augmented generation with source-grounded answers and citations
- Built-in /ui workbench for testing, demos, and inspecting API requests
- Structured data access for databases, CSVs, and tabular data
- Embeddings and orchestration behind a single local application API
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