ローカルLLM
helmor
A local workbench for multi-agent software development.
★ 1.3k スターApache-2.0
ガイドを見る →gpt-homeは、judahpaul16が公開しているオープンソースのローカルLLMプロジェクトです（GitHub: judahpaul16/gpt-home）。GitHubスターは651、フォークは69で、GPL-3.0ライセンスの下で公開されています。GitHubでの最終更新は2026年9月13日です。
ChatGPT for your home, running on a Raspberry Pi.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Ships with container support for one-command self-hosting.
A responsive interface built with current web tech.
Browse and resume past agent sessions.
Your code and prompts never leave your machine.
Runs on macOS, Linux, and Windows.
Designed to be practical on consumer hardware.
Download the source and move into the project folder.
git clone https://github.com/judahpaul16/gpt-home.git
cd gpt-homeCreate a virtual environment and install the requirements.
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtStart the app or CLI and follow the README examples.
python main.py --helpIt 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.
Yes for most uses, but it is GPL-3.0 (copyleft): if you distribute modified versions, you must share your source changes too.
A modern laptop works for smaller models; bigger models want more RAM or a GPU.
Usually anything Ollama or llama.cpp can run — check the README for tested models.
Yes — local inference means prompts never leave your machine.
A local workbench for multi-agent software development.
Browse and resume your AI coding-agent sessions on macOS.
Local AI search across your podcast and video archives.
Cloud-native runtime for building and running agentic AI in production.
Open-source marketing agents for Claude, ChatGPT, and Codex.
Local-first inbox designed for long-running AI agents, built.
LibreAIカタログに掲載されたローカルLLMプロジェクトの中で最もスターの多いもの — gpt-homeが合わなかった場合に検討したい、現実的な候補リストです。
The simplest way to run open language models on your own machine.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
LLM inference in C/C++
A high-throughput and memory-efficient inference and serving engine for LLMs
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
カタログの中でgpt-homeとスター数が近いローカルLLMプロジェクト — 前後の棚もそのまま見て回れます。
Rustunnel, in Rust — built for self-hosted, secure tunnel server in rust. expose local.
Agent! now supports macOS 14.6 or later, Apple Silicon and Intel, latest release.
Local code-intelligence MCP server and CLI for coding agents.
Private AI chat and model studio that runs in your browser via WebGPU.
AI gets the context.
[ICML 2024] TrustLLM: LLM trustworthiness evaluation across truthfulness, safety