# Self-Hosted

Frigate is the MIT-licensed, self-hosted NVR with 31,000+ stars that does real-time AI object detection entirely on your own hardware. Here's how the two-stage pipeline works, what hardware you actually need, the real costs, and the privacy responsibilities that come with it.

changedetection.io is the Apache-2.0, self-hosted web page change monitor with 33,000+ stars. Here's how it works, why your watchlist is a privacy liability on hosted services, the real costs, and the security defaults you must fix before exposing it.

Headscale is the BSD-3-Clause, self-hosted implementation of the Tailscale control server with 41,000+ stars. Here's how it works, what it really costs, where your network metadata lands, and why the maintainers actively discourage running it in Docker.

RustDesk is the AGPL-3.0 remote desktop with 113,000+ stars that replaces TeamViewer and AnyDesk by letting you self-host the relay. Here's how it works, what the Pro tier really gates, where your screen data lands, and the AGPL trap to know before you embed it.

Uptime Kuma is the MIT-licensed, single-container uptime monitor with 89,000+ stars and 90+ alert channels. Here's how it works, what it really costs, where your monitoring data lands, and the single-instance limits you must plan around.

Home Assistant is the local-first, Apache-2.0 smart-home hub with 2,000+ integrations and 90,000+ stars. Here's how it works, what it really costs to run, where your data lands, and who should (and shouldn't) self-host it.

DotCraft is an Apache-2.0, .NET 10 agent harness that anchors an AI agent to a project folder instead of a chat window. Here's how it works, what it costs, and where your data lands — plus an honest look at how young it is.

Cognee is an Apache-2.0 memory platform that turns messy files, chats, and APIs into a self-hosted knowledge graph your agents can query across sessions. Here's how it works, what it costs, and where your data lands.

OpenWork is an MIT-licensed, OpenCode-powered desktop agent that lets non-technical teammates run AI workflows locally and share them across the team. Here's how it works, what it really costs, and where your files land.