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zylon-ai
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zylon-ai/private-gpt

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.

Python ◇ ai Apache-2.0
★57.6KSTARS
⑂7.6KFORKS
!14ISSUES
🏆#232GLOBAL RANK
🔥45DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

private-gpt is 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..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), zylon-ai/private-gpt has accumulated 57,616 GitHub stars and 7,615 forks. It is written in Python, licensed under Apache-2.0, and ranks #232 globally. It is actively maintained with the latest commit recorded on Oct 26, 2026.”
Repository zylon-ai/private-gpt ↗
Primary Category ai
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 57.6K stars · ⑂ 7.6K forks · #232 globally
Maintenance ● Active (Last commit: Oct 26, 2026) · 14 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 95/100 · Grade A+
✅
Is private-gpt actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, private-gpt is actively maintained. Continuous telemetry recorded the last code commit on Oct 26, 2026 (17 days ago). Supported by 57,616 stars and 7,615 community forks, this repository holds a calculated health index of 95/100, reflecting regular maintenance (17 days ago) and healthy issue cadence.

Commit Recency
Oct 26, 2026
17 days since last push
Issue Backlog
14 Open Issues
Healthy Issue Cadence
Community Backing
7.6K Forks
57.6K Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for zylon-ai/private-gpt
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Momentum

+55

STARS · LAST 30 DAYS

2

PER DAY

#64

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+55+180
Per day122
Forks gained+0+0+381

private-gpt gained 55 stars in the last 30 days, about 2 a day, and now has 57.6K. It is about 4 years old and has averaged roughly 14.4K stars a year. It ranks #64 among Python repositories and #232 across all languages on GitHubRepo.

Trending Record

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

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ 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

1

Install private-gpt using your package manager: `pip install private-gpt`

2

Initialize your project workspace or configuration file for private-gpt.

3

Import private-gpt into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `private-gpt --help` to verify successful setup.

👍 Strengths

Active community backing with 57,529 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 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 #232 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#227 pathwaycom/serviette Python ★ 58.7K Compare ↗
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#231 h5bp/html5-boilerplate JavaScript ★ 57.7K Compare ↗
#232 zylon-ai/private-gpt This Project Python ★ 57.6K
#233 coreyhaines31/marketingskills JavaScript ★ 57.6K Compare ↗
#234 firstcontributions/first-contributions — ★ 56.8K Compare ↗
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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.

Is private-gpt actively maintained in 2026? +

Yes, private-gpt is actively maintained. The latest code push was recorded on Oct 26, 2026 (17 days ago). It holds a calculated Maintenance Health Score of 95/100 (A+ rating) with 57,616 stars and 14 open issues.

What language is private-gpt written in? +

The primary language is Python. Topics include: ai, ai-tools, on-premise.

How many stars does private-gpt have? +

private-gpt has 57,616 stars and 7,615 forks on GitHub.

How does private-gpt rank among GitHub repositories? +

With 57,616 stars, zylon-ai/private-gpt is ranked #232 globally across all repositories tracked on GitHubRepo and #64 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.

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