ローカルLLM
handy-ollama
动手学Ollama，CPU玩转大模型部署，在线阅读地址：https://datawhalechina.github.io/handy-ollama/
★ 2.5k スターUnknown
ガイドを見る →Routerlyは、Inebrioが公開しているオープンソースの簡単インストールプロジェクトです（GitHub: Inebrio/Routerly）。GitHubスターは99、フォークは14で、AGPL-3.0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。
Self-hosted LLM gateway routing across providers with cost controls.
Self-host it following the official site guide.
Plug in your OpenAI, Anthropic, Gemini, and other keys.
Enforce spending limits per key or team.
Send all LLM traffic through the one gateway.
One endpoint for OpenAI, Anthropic, Gemini, Mistral, Ollama.
Hard caps keep AI spend under control.
See token usage per provider and key.
Your keys and traffic stay on your infra.
Drop-in proxy for existing app code.
AGPL-3.0 TypeScript codebase.
Download the source and enter the folder.
git clone https://github.com/Inebrio/Routerly.git
cd RouterlyInstall the Node.js dependencies.
npm installLaunch it and open the dashboard to add providers.
npm run startA self-hosted LLM gateway routing requests across AI providers with budgets, at Inebrio/Routerly.
OpenAI, Anthropic, Gemini, Mistral, and Ollama.
The source is open under AGPL-3.0; self-host it yourself.
You set spending caps and it blocks or reroutes over-budget traffic.
Your API keys and request data never pass through a third party.
动手学Ollama，CPU玩转大模型部署，在线阅读地址：https://datawhalechina.github.io/handy-ollama/
Clean web interface for chatting with your local Ollama models.
A no-install GUI for Ollama and other local LLM providers.
A self-hosted AI workout tracker with your own LLM.
Open source, OpenAI-compatible LLM gateway you run yourself.
Track LLM spend per user and feature inside your Rails app — no proxy.
LibreAIカタログに掲載された簡単インストールプロジェクトの中で最もスターの多いもの — Routerly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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カタログの中でRouterlyとスター数が近い簡単インストールプロジェクト — 前後の棚もそのまま見て回れます。
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