Локальные LLM
ComfyUI-GGUF
GGUF Quantization support for native ComfyUI models
★ 4,1 тыс. звёздApache-2.0
Смотреть руководство →comfyui-mcp — проект с открытым исходным кодом из категории «Локальные LLM» от artokun (artokun/comfyui-mcp на GitHub). У него 785 звёзд на GitHub и 134 форка, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 2 октября 2026.
Agent-native control plane for ComfyUI — generate media in plain chat.
Set it up alongside ComfyUI.
Use Claude, ChatGPT, Gemini, or local Ollama.
Describe the media you want in plain language.
The agent builds, runs, and tweaks the graph.
A huge tool surface for media generation.
Packaged capabilities for the agent.
Edit your live graph by chatting.
Cloud models or offline Ollama.
Images, video, and audio generation.
Local, LAN, VPS, or Comfy Cloud.
Download the source and move into the project folder.
git clone https://github.com/artokun/comfyui-mcp.git
cd comfyui-mcpEvery 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 commandYes, this is a control plane that drives your ComfyUI instance.
MIT licensed — commercial use allowed.
Claude, ChatGPT, Gemini, offline Ollama, or any hosted model.
Prebuilt packs to get set up fast; check the docs.
Yes, local, LAN, VPS, and Comfy Cloud are all supported.
GGUF Quantization support for native ComfyUI models
LLM Agent Framework in ComfyUI includes MCP sever, Omost,GPT-sovits, ChatTTS,GOT-OCR2.0, and FLUX prompt nodes,access to Feishu,discord,and adapts to all llm…
Access large language models from the command-line
Self-hosted control plane: approve or block rogue agent calls.
A utility for clawBio - The first bioinformatics-native AI agent skill library.
18 Google Maps tools and 3 agent skills over MCP or CLI.
Другие проекты из категории «Локальные LLM» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если comfyui-mcp 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 comfyui-mcp — продолжайте изучать полку по обе стороны от него.
Check if your GPU can fine-tune an LLM — memory estimates and LoRA recipes.
AI gets the context.
Local-first dashboard of tokens, models, and cost for coding agents.
Local code-intelligence MCP server and CLI for coding agents.
Local-first desktop workspace designed for running.
Rustunnel, in Rust — built for self-hosted, secure tunnel server in rust. expose local.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.