LibreAI / Local LLM / gpt-home
// local-llm · judahpaul16/gpt-home

gpt-home

gpt-home is an open-source local llm project by judahpaul16 (judahpaul16/gpt-home on GitHub). It has 651 GitHub stars and 69 forks, is released under the GPL-3.0 license, and was last updated on GitHub on 13 September 2026.

ChatGPT for your home, running on a Raspberry Pi.

💎 Hidden gem★ 651 stars⑂ 69 forksGPL-3.0updated 2026-09
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

GitHub stars
651
Forks
69
License
GPL-3.0
Last updated on GitHub
13 September 2026
Category
Local LLM
Listing
Hidden gem — a shorter page for a lesser-known project
Official site
Official site
// how it works

How it works

  1. Clarify your goal

    Decide what you want the project to do before installing anything.

  2. Clone the repo

    Grab the source and skim the README for setup requirements.

  3. Install and configure

    Install dependencies and add any API keys or settings it needs.

  4. Run your first task

    Launch it and follow the example workflow from the docs.

// features

Why people love it

Docker deployment

Ships with container support for one-command self-hosting.

Modern web UI

A responsive interface built with current web tech.

Session history

Browse and resume past agent sessions.

Privacy-first

Your code and prompts never leave your machine.

Cross-platform

Runs on macOS, Linux, and Windows.

Low resource use

Designed to be practical on consumer hardware.

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// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/judahpaul16/gpt-home.git
    cd gpt-home
  2. Step 2 — Install dependencies

    Create a virtual environment and install the requirements.

    python3 -m venv .venv && source .venv/bin/activate
    pip install -r requirements.txt
  3. Step 3 — Run it

    Start the app or CLI and follow the README examples.

    python main.py --help
// use cases

What you can build

  • Run a private coding assistant on your laptop.
  • Control smart-home devices with local voice AI.
  • Browse and resume old agent sessions.
  • Develop multi-agent apps with zero API cost.
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// faq

Questions, answered

Who maintains gpt-home?

It is an open-source project at judahpaul16/gpt-home with 69 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.

Is gpt-home free to use?

Yes for most uses, but it is GPL-3.0 (copyleft): if you distribute modified versions, you must share your source changes too.

What hardware do I need?

A modern laptop works for smaller models; bigger models want more RAM or a GPU.

Which models are supported?

Usually anything Ollama or llama.cpp can run — check the README for tested models.

Is my data private?

Yes — local inference means prompts never leave your machine.

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// alternatives

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The most-starred other Local LLM projects in the LibreAI catalogue — the realistic shortlist if gpt-home is not the right fit.

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// more in local-llm

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Get gpt-home

Free and open — grab the source, star the repo, and start creating.