self-hosting

An open-source, self-hostable PaaS alternative to Vercel, Heroku & Netlify that lets you easily deploy static sites, databases, full-stack applications and 280+ one-click services on your own servers.

Build your personal knowledge base with Trilium Notes

☁️ Nextcloud server, a safe home for all your data

A simple server for sending and receiving messages in real-time per WebSocket. (Includes a sleek web-ui)

The Privacy First PDF Toolkit

An elegant home server OS. Run OpenClaw, store your files and photos, run a Bitcoin node, and do more with over 300 apps in the Umbrel App Store.

:cloud: ownCloud web server core (Files, DAV, etc.)

A minimalist, open source online pastebin where the server has zero knowledge of pasted data. Data is encrypted/decrypted in the browser using 256 bits AES.

Bare metal to production ready in mins; your own fly server on your VPS.

🇨🇳 OpenClaw中文用例大全 | 50个真实场景 | 国内特色 + 海外案例的国内适配 | 自动化办公·内容创作·运维·AI助理·知识管理 | 新手友好

Manage your photos with Piwigo, a full featured open source photo gallery application for the web. Star us on Github! More than 200 plugins and themes available. Join us and contribute!

Serverless, 100% free, and open-source Evernote alternative on Cloudflare with native MCP | 无需服务器、0费用、原生支持 AI Agent 的开源自托管『印象笔记』

Unofficial OpenClaw runbook for running agents day to day without burning money, exposing your gateway, or trusting random automation.

An open-source alternative to GitHub copilot that runs locally.

Devopness: AI DevOps on your cloud. Deploy apps, infra and CI/CD. Any cloud and any stack, one MCP. Deterministic API, opinionated and fully configurable. No cloud credentials in AI chats. Free plan.

Self-hosted huggingface mirror service. 自建huggingface镜像服务。

An open-source cloud-native of large multi-modal models (LMMs) serving framework.

Self-hosted PaaS for private infrastructure. Deploy 200+ services on any server in one click. GPU monitoring, AI model management, VRAM checker, and MCP built in. Coolify alternative. MIT licensed. Free forever.

Why is LLM inference slow — and how do you make it fast? A hands-on, first-principles course: roofline → KV cache → quantization → parallelism → vLLM/SGLang, with GPU labs on open models.