OpenNVR turns your own cameras and hardware into a video platform where recording, live viewing, and AI analysis all stay inside your perimeter. Any ONVIF or RTSP camera connects, including an Android phone running the companion camera app, and footage is written in one-minute chunks whether or not any model is running. Detection overlays appear moments after a camera is added, and you search recorded events in natural language instead of scrubbing timelines. Twelve installable applications cover intrusion detection, loitering, occupancy counting, line crossing, license plates, camera tampering, gate watching, and a doorbell that recognizes your family, each declaring its camera and network permissions before an administrator approves it. Swapping the underlying model changes nothing else, because every detector, plate reader, face recognizer, or vision-language model answers through the same adapter contract. Two Python SDKs let you write your own app as a rule over platform events or wrap your own model as a first-class capability. Cameras, zones, and apps surface in Home Assistant automatically through MQTT discovery. Offline and local-only modes return errors to every cloud route until an operator opts in, model weights are fingerprinted with SHA-256 and re-checked every minute, and an append-only audit log traces each alert to the exact weights that produced it. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Your cameras should answer to you, not to a vendor cloud, and MiBee NVR turns an ordinary server into a complete video recorder that keeps every frame on your own disks. The surveillance grid shows all cameras live at once with per-camera health scores, while the recordings timeline marks AI-detected events so you can jump straight to the moment that matters instead of scrubbing hours of empty hallway. ONVIF cameras joining the network are discovered and enrolled automatically, and a camera that changes its IP address is relocated by serial number and reconnected without your intervention. Adaptive recording watches the compressed stream and drops calm scenes to a timelapse-grade baseline, cutting disk use by 75 to 98 percent on static views while a pre-buffer guarantees no frames are lost when motion resumes. You can push video in from remote publishers over RTMP, SRT, or WHIP, re-serve every camera as an RTSP feed, and browse the recording library from a TV through DLNA. Browser-side AI detection flags people and motion with no inference server to maintain, and Prometheus metrics with ready-made Grafana dashboards expose per-camera stream and storage health. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0-only licensed.

Turn ordinary IP cameras, USB webcams, and video files into a self-hosted surveillance system that watches, records, and replays everything from a browser. Every camera becomes a monitor that can capture, analyze, and record around the clock or only when motion appears. Draw detection zones in six types (active, inclusive, exclusive, preclusive, inactive, and privacy) so a visitor on the driveway raises an alarm and swaying trees do not. The Montage view tiles live feeds in selectable layouts, Cycle rotates through them, and the Watch view adds scale, stream quality, and player controls for a single camera. Events arrive in a sortable list with thumbnails, durations, and alarm scores, play back against a timeline, and can be reviewed across every camera in Montage Review. Filters automate housekeeping by archiving, emailing, messaging, uploading, copying, moving, or deleting matching events on a schedule. PTZ controls steer supported cameras. User roles limit who can view or change each monitor, a REST API and MQTT support connect other tools, and the optional event server adds push notifications and object detection through machine-learning hooks. Multi-server installs spread cameras and storage across machines, and the zmNinjaNg app brings the same views to phones and desktops. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-2.0 licensed.

Homeowners and facility operators deploy Viseron to turn standard RTSP and ONVIF security cameras into a self-hosted network video recorder with local AI object detection, face recognition, and license plate reading. Instead of uploading private camera feeds to subscription cloud services, you monitor low-latency WebRTC live streams, scrub through an interactive event timeline, and review 24/7 continuous recordings directly from a responsive web dashboard. You can draw custom detection zones and privacy masks in the visual camera tuning editor to filter out street traffic, while lookback buffering captures footage several seconds before motion or an object triggers an event. Pluggable computer vision pipelines connect your cameras to YOLOv7 Darknet, Google Coral EdgeTPU, CompreFace, dlib, and CodeProject.AI to classify people, vehicles, known faces, and license plates in real time. Tiered storage policies automatically migrate older video segments from fast NVMe drives to high-capacity archival disks based on age and quota rules. Bidirectional MQTT integration and Home Assistant auto-discovery let you toggle cameras on demand, ingest external motion sensors, and dispatch instant snapshot alerts to Telegram or Discord. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

MediaMTX sits between cameras and viewers as a self-hosted live media server, taking in video and audio streams over one protocol and handing them back out over another, so one IP camera feed can end up playing in a browser, a phone app, and a recording archive simultaneously. Publish with FFmpeg, GStreamer, OBS Studio, a browser, or a Raspberry Pi camera over RTSP, RTMP, SRT, WebRTC, Media-over-QUIC, HLS, MPEG-TS, or RTP, and read it back on any other protocol without a transcoding pipeline. Run dozens of camera feeds side by side, each on its own path, and keep every path available even while its publisher is offline. Record everything to disk in fMP4 or MPEG-TS as it streams, then play recordings back later through the same server instead of shipping files around. Authenticate publishers and viewers with built-in users, an external HTTP check, or JWT, and use the control API plus Prometheus metrics to wire the server into the rest of your monitoring stack. Forward streams to other servers, proxy cameras behind NAT, and fire hook commands whenever a client connects, publishes, or disconnects, so a doorbell camera can trigger a snapshot or an alert as it starts streaming. Reload the configuration while clients stay connected, and tune everything from the same mediamtx.yml file or environment variables, with no database or runtime dependencies to babysit. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

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.

Your house already has lights, locks, sensors, thermostats, and speakers from many brands, and Home Assistant gives them one local control room with no vendor cloud in the loop. To close the shutters when the outdoor temperature holds above 25 °C, or to be alerted when the garage door is left open, build the routine in the visual editor: When, And if, Then do. Scenes, scripts, and blueprints package it for reuse, and run traces show what it did. More than 1,500 integrations cover Zigbee, Z-Wave, Matter, Thread, MQTT, ESPHome, Bluetooth, Hue, and Sonos, and network discovery offers known devices for one-step setup. To see the house at a glance, drag tile, thermostat, gauge, graph, and map cards into a dashboard, then put it on a TV with Home Assistant Cast. The Energy dashboard answers where the power goes, drawing solar, grid, battery, gas, and water as one distribution diagram with cost totals and per-appliance tracking. To talk to the house, use Assist: natural-language commands, wake words, and custom sentences run locally or through Home Assistant Cloud. The map panel shows who is home, plotting people against zones such as Home, Work, and School from the iOS and Android companion apps. Areas and labels keep large setups tidy, and multi-factor authentication guards each account. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

HomeGenie runs your whole smart home locally, controlling lights, sensors, cameras, and automations from hardware in your own house, so everything keeps obeying you even with the internet cable pulled. The dashboard is your control room: watch energy consumption, security zones, and environmental conditions in real time, then customize layouts, themes, and charts until the view matches your household. Automations suit every skill level, from a visual editor where scenarios assemble without code, to full programs in C#, JavaScript, or Python against a documented API. The built-in AI assistant, Lailama, runs locally: speak or type natural-language commands and it reasons about your home's context, orchestrates multiple devices, and shows the exact code it executed, so nothing happens by opaque magic. Voice works locally too, with Whisper recognizing speech and Piper answering through the browser. Cameras gain brains through VisionCore, which detects people, vehicles, and objects in real time, records buffered event clips, and feeds what it sees into your automations. A data browser turns months of sensor history into interactive charts with filters like moving averages, so "why did heating spike Tuesday" gets an answer. Virtual modules let you prototype sensors before buying hardware, and the interface speaks more than 90 languages. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Over 400 technologies and thousands of smart devices from any manufacturer, unified under one roof: openHAB is the vendor-neutral home automation platform with a pluggable binding architecture. Each binding translates a device or service into openHAB's clean abstraction: Things expose Channels, Channels link to Items, and Items feed a rules engine that runs your home. That engine meets you at your skill level: Blockly gives non-programmers drag-and-drop visual logic, JS Scripting (GraalJS with the openhab-js library) is the modern text-based standard, the classic Rules DSL remains supported, and JSR223 opens the door to Python, Ruby, and Groovy. Time- and event-based triggers, scripts, notifications, and voice control compose into automations of any complexity, and users report decade-old rule sets still running rock solid. The Main UI handles configuration, semantic modeling, and now built-in charting - no external Grafana required. Built in Java on Apache Karaf's OSGi runtime and stewarded by the non-profit openHAB Foundation, it requires no cloud to function: everything runs locally, talking directly to your devices. Optional connectors bridge to Alexa, Google Assistant, and HomeKit, with iOS, Android, and web apps for control from anywhere.

If cloud-dependent smart home hubs and YAML-heavy configuration files leave your household at the mercy of vendor outages and broken scripts, Gladys Assistant puts your entire home under clean, point-and-click local control. Zero YAML required. Pair thousands of lights, thermostats, smart plugs, locks, and sensors directly through native Zigbee2MQTT, Matter, Z-Wave, and MQTT support, or install hundreds of sandboxed community integrations for Philips Hue, Shelly, Sonos, TP-Link Tapo, Netatmo, and Reolink cameras in a single click. Visual scenes make automation effortless. Trigger multi-step routines from motion sensors, sunrise schedules, house presence, calendar events, or electricity tariff changes, and chain conditional actions with delays, HTTP webhooks, and Telegram alerts. Customizable room dashboards display live RTSP camera streams, climate charts, weather forecasts, and interactive dimmer controls. Built-in energy monitoring tracks real-time wattage, historical kWh consumption, and utility contract costs across every circuit. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.