Локальные LLM
comfyui_LLM_party
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…
★ 2,4 тыс. звёздAGPL-3.0
Смотреть руководство →shimmy — проект с открытым исходным кодом из категории «Локальные LLM» от Michael-A-Kuykendall (Michael-A-Kuykendall/shimmy на GitHub). У него 5 914 звёзд на GitHub и 575 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 30 августа 2026.
⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.
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.
Works on planes, in basements, behind firewalls.
Swap between hundreds of open models freely.
Existing tools plug in by changing one URL.
Ask questions over your PDFs, notes, and codebases.
Pay nothing per token, ever.
Prompts and documents stay on your hardware, always.
Download the source and move into the project folder.
git clone https://github.com/Michael-A-Kuykendall/shimmy.git
cd shimmyEvery 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 Michael-A-Kuykendall/shimmy with 575 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
A recent 8–32B instruct model is the sweet spot for most machines.
Yes — with no network calls, there's nothing to leak.
Close on many tasks now; frontier cloud models still lead on hard reasoning.
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…
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
Hundreds of models & providers. One command to find what runs on your hardware.
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, an…
Token efficient translation utility built on ChatGPT or any OpenAI compatible LLM.
GPT4All — run local LLMs on any device: a free desktop chat client and Python SDK that run open models entirely on your CPU, no GPU or cloud required
Другие проекты из категории «Локальные LLM» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если shimmy 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 shimmy — продолжайте изучать полку по обе стороны от него.
Quantization, kernels, runtime and inference engine for mobiles, wearables, smart home and robots
Discover and run local AI apps, serving optimized LLMs from your own GPU and NPU.
DeepSeek-Coder-V2 — DeepSeek's open code model family that challenged closed-source code models.
Google DeepMind's Gemma open-weight LLM library — install, load and chat with Gemma models in Python.
vLLM-Omni — efficient inference for omni-modality models: image, audio, video, diffusion and policies.
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…
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.