Локальные LLM
llmfit
Hundreds of models & providers. One command to find what runs on your hardware.
★ 37,5 тыс. звёздMIT
Смотреть руководство →node-llama-cpp — проект с открытым исходным кодом из категории «Локальные LLM» от withcatai (withcatai/node-llama-cpp на GitHub). У него 2 187 звёзд на GitHub и 221 форк, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 2 октября 2026.
Run AI models locally on your machine with node.js bindings for llama.cpp. Enforce a JSON schema on the model output on the generation level
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.
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.
Ask questions over your PDFs, notes, and codebases.
Download the source and move into the project folder.
git clone https://github.com/withcatai/node-llama-cpp.git
cd node-llama-cppEvery 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 withcatai/node-llama-cpp with 221 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
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.
Hundreds of models & providers. One command to find what runs on your hardware.
Typescript/React Library for AI Chat 💬🚀
Atomic Agent is a local-first AI agent. Runs open-weight models on your own machine via llama.cpp.
Maid is a free and open source application for interfacing with llama.cpp models locally, and with Anthropic, DeepSeek, Ollama, Mistral and OpenAI models rem…
Run controllable pre-trained AI models locally, written in Rust.
KoboldCpp - Run GGUF AI models locally with a KoboldAI UI. One File. Zero Install
Другие проекты из категории «Локальные LLM» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если node-llama-cpp 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 node-llama-cpp — продолжайте изучать полку по обе стороны от него.
Let any LLM actually watch a video — frames plus transcript, run locally.
Local-first desktop where a commander LLM directs specialist coding agents.
Run controllable pre-trained AI models locally, written in Rust.
Sandbox for local AI agents so they only touch what they need.
Noise-robust subtitle generator powered by Whisper and local ASR models.
Local API bridge to run Claude and Antigravity inside other coding clients.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.