Локальные LLM
llm
Access large language models from the command-line
★ 12,6 тыс. звёздApache-2.0
Смотреть руководство →kotaemon — проект с открытым исходным кодом из категории «Локальные LLM» от Cinnamon (Cinnamon/kotaemon на GitHub). У него 25 801 звезда на GitHub и 2 157 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 14 июля 2026.
An open-source RAG-based tool for chatting with your documents.
One binary or app gets you a working local model setup.
Pick a size that fits your RAM/VRAM; smaller models run on laptops.
Use the built-in UI, or point OpenAI-compatible clients at it.
Airplane mode works — your prompts never leave the device.
Prompts and documents stay on your hardware, always.
RAG, tools, and agents build on the same base.
Smart compression runs big models on modest hardware.
Works on planes, in basements, behind firewalls.
Swap between hundreds of open models freely.
Existing tools plug in by changing one URL.
Download the source and move into the project folder.
git clone https://github.com/Cinnamon/kotaemon.git
cd kotaemonEvery 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 commandIt is an open-source project at Cinnamon/kotaemon with 2,157 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
8B models run on 16GB RAM; bigger models want a real GPU.
A recent 8–32B instruct model is the sweet spot for most machines.
Yes — with no network calls, there's nothing to leak.
Access large language models from the command-line
Official repo for spec & SDK of MCP Apps protocol - standard for UIs embedded AI chatbots, served by MCP servers
Local-first privacy guard that strips PII before documents reach an LLM.
AI e-book reader with semantic search, RAG chat, notes, and text-to-speech.
Desktop AI agent platform with one-click models and offline-first RAG.
Clean web interface for chatting with your local Ollama models.
Другие проекты из категории «Локальные LLM» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если kotaemon 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 kotaemon — продолжайте изучать полку по обе стороны от него.
Distribute and run LLMs with a single file.
Compile and run LLMs anywhere - phones, laptops, browsers and GPUs - with one engine
Open-source 24/7 Cowork app for OpenClaw, Hermes, Claude Code, Codex, OpenCode and 20+ more CLI Agent | Customize your assistants | Team them up｜Star if you …
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
Strata — one-click Qwen3.8-Flash-Next inference on consumer hardware: chat, code and images, locally, no account, MIT
A fast LLM inference server for Apple Silicon, managed from the macOS menu bar
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.