zylon-ai

Private GPT — Data skill for Claude Code

Data community

Complete API layer for private AI applications on local models: RAG, skills, tools, MCP, text-to-sql, and more.

How to install Private GPT

This entry records only its repository, not the path inside it, so there is no exact command to give. Open zylon-ai/private-gpt and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Private GPT does

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.

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README

![Banner image](./fern/docs/assets/privategpt_banner.png)

**PrivateGPT is the open-source API layer that turns local models into production AI applications.**

[![Tests](https://github.com/zylon-ai/private-gpt/actions/workflows/tests.yml/badge.svg)](https://github.com/zylon-ai/private-gpt/actions/workflows/tests.yml?query=branch%3Amain) [![Website](https://img.shields.io/website?up_message=check%20it&down_message=down&url=https%3A%2F%2Fdocs.privategpt.dev%2F&label=Documentation)](https://docs.privategpt.dev/) [![Discord](https://img.shields.io/discord/1164200432894234644?logo=discord&label=PrivateGPT)](https://discord.gg/F8KCFeZbkx) [![X (formerly Twitter) Follow](https://img.shields.io/twitter/follow/ZylonPrivateGPT)](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