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.
Star History
Momentum
+1.4K
STARS · LAST 30 DAYS
48
PER DAY
#50
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +336 | +1.4K | +4.3K |
| Per day | 48 | 48 | 48 |
| Forks gained | +38 | +152 | +381 |
private-gpt gained 1.4K stars in the last 30 days, about 48 a day, and now has 57.5K. It is about 3 years old and has averaged roughly 19.2K stars a year. It ranks #50 among Python repositories and #183 across all languages on GitHubRepo.
Trending Record
6
DAYS ON TRENDING
#167
BEST RANK
Sep 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
private-gpt has maintained a continuous presence across global trending indexes, peaking at #167. Below is the 30-day activity profile:
💡 Overview
private-gpt is an open-source project written in Python: 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.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, ai-tools, on-premise. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install private-gpt
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
private-gpt coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with private-gpt.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install private-gpt using your package manager: `pip install private-gpt`
Initialize your project workspace or configuration file for private-gpt.
Import private-gpt into your codebase or invoke it directly from your terminal.
Execute your test suite or run `private-gpt --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
zylon-ai/private-gpt is currently ranked #183 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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| #183 | zylon-ai/private-gpt This Project | Python | ★ 57.5K | |
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Frequently Asked Questions
What does private-gpt do? +
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.
What language is private-gpt written in? +
The primary language is Python. Topics include: ai, ai-tools, on-premise.
Is private-gpt actively maintained? +
Yes, the last recorded push was on Sep 22, 2026 with 21 open issues being tracked.
How many stars does private-gpt have? +
private-gpt has 57,547 stars and 7,617 forks on GitHub.
How does private-gpt rank among GitHub repositories? +
With 57,547 stars, zylon-ai/private-gpt is ranked #183 globally across all repositories tracked on GitHubRepo and #50 among Python projects.
What license is private-gpt distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.