Private Gpt
Description
Complete API layer for private AI applications on local models: RAG, skills, tools, MCP, text-to-sql, and more. Works with any OpenAI-compatible inference server.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
**PrivateGPT is the open-source API layer that turns local models into production AI applications.**
[](https://github.com/zylon-ai/private-gpt/actions/workflows/tests.yml?query=branch%3Amain) [](https://docs.privategpt.dev/) [](https://discord.gg/F8KCFeZbkx) [](https://twitter.com/ZylonPrivateGPT)
Running a model locally is only the first step. To build useful AI applications you need a set of higher-level building blocks. PrivateGPT provides that layer as an open-source API following the Claude API model — so you can build private AI products without rebuilding the same backend primitives from scratch, and without depending on cloud APIs.
Production-tested: [PrivateGPT powers Zylon](#privategpt-vs-zylon), the on-premise AI platform providing Private AI to enterprises across the globe.
Your app / agent / workflow / UI
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PrivateGPT API
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OpenAI-compatible inference server (Ollama, llama.cpp, vLLM, …) PrivateGPT does **not** run models itself. It connects to any OpenAI-compatible inference server via `OPENAI_API_BASE`. If it implements `/v1/chat/completions` and `/v1/models`, it works.
PrivateGPT ships a built-in workbench UI for testing and demos, available at `/ui`. The AP
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