ローカルLLM
llmfit
Hundreds of models & providers. One command to find what runs on your hardware.
★ 37.5k スターMIT
ガイドを見る →node-llama-cppは、withcataiが公開しているオープンソースのローカルLLMプロジェクトです（GitHub: withcatai/node-llama-cpp）。GitHubスターは2,187、フォークは221で、MITライセンスの下で公開されています。GitHubでの最終更新は2026年10月2日です。
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.
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LibreAIカタログに掲載されたローカルLLMプロジェクトの中で最もスターの多いもの — node-llama-cppが合わなかった場合に検討したい、現実的な候補リストです。
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A high-throughput and memory-efficient inference and serving engine for LLMs
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カタログの中でnode-llama-cppとスター数が近いローカルLLMプロジェクト — 前後の棚もそのまま見て回れます。
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.
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