Локальные LLM
Ollama
The simplest way to run open language models on your own machine.
★ 182,1 тыс. звёздMIT
Смотреть руководство →selfhost-ai — проект с открытым исходным кодом из категории «Локальные LLM» от kossakovsky (kossakovsky/selfhost-ai на GitHub). У него 939 звёзд на GitHub и 239 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 2 октября 2026.
One-command installer for a full self-hosted AI stack on your server.
Prepare a machine with Docker.
One command sets up the whole stack.
Caddy provisions certificates automatically.
Open each service from your new AI hub.
The entire stack installs in a single step.
n8n, Ollama, Dify, ComfyUI, and many more.
Everything orchestrated declaratively.
Caddy handles certificates for you.
Built-in visibility into the stack.
Free automation without per-task fees.
Download the source and move into the project folder.
git clone https://github.com/kossakovsky/selfhost-ai.git
cd selfhost-aiEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandA server with Docker; check the README for sizing guidance.
Apache 2.0 licensed — commercial use allowed with attribution.
n8n, Ollama, Open WebUI, OpenClaw, Dify, Flowise, Supabase, ComfyUI, Qdrant, and more.
Caddy automatically provisions and renews certificates.
Check the docs for selective deployment options.
The simplest way to run open language models on your own machine.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Run and fine-tune LLMs and diffusion models locally — faster training, smaller memory footprint.
Rustunnel, in Rust — built for self-hosted, secure tunnel server in rust. expose local.
Self-hosted control plane: approve or block rogue agent calls.
Open-source AI sales OS — self-hosted CRM with native AI agents + WhatsApp (WAHA). Open alternative to Kommo, Octadesk & Intercom for any business that sells…
Другие проекты из категории «Локальные LLM» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если selfhost-ai вам не подходит.
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.
Соседние проекты из категории «Локальные LLM» в каталоге, ближайшие по числу звёзд к selfhost-ai — продолжайте изучать полку по обе стороны от него.
Run siliconscope locally: sudoless apple silicon system monitor (native swiftui g.
A talking LLM voice assistant that runs fully offline on your computer.
Autonomous AI pentesting with 50 specialist agents on a local LLM.
Browse and resume your AI coding-agent sessions on macOS.
Write an agent skill once, sync it to 32 AI coding tools.
Early proposal and implementation for connecting LLMs to web pages.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.