OpenSkyCam records a sky-facing IP camera around the clock on hardware you own, and searches the footage for meteors, planes, and anything else that moves. A small Linux relay by the camera copies the RTSP stream into one-minute MP4 files without re-encoding, kept on your disk under a rolling 40-day window: browse by day, scrub by hour, zoom into the 4K frame, download originals. Workshop workflows sample frames from any time window, run up to four detection or classification models over them, and sort each frame into buckets by class, score, count, time of day, or motion, once or nightly as footage lands. Detections of one object link across a recording into tracks labeled moving, stationary, or brief, so fixed stars and porch lights are discarded and aircraft kept. A trained night detector for planes and meteors ships with the project; every detection waits in a review view where you confirm or correct its label and box, then freeze the approved set as a versioned training dataset. The processor lives on your machine too (Apple or NVIDIA GPU, or plain CPU), and the footage itself never leaves your disk. Every website action is also a /v1 API call, and an MCP server lets an AI agent find last night's clearest meteors, take a photo at any second of stored video, or schedule the next workflow. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.