
Frigate is an open source NVR for IP cameras that detects people, cars, and other objects on your own hardware. Camera feeds stay at home. It's built for people who want a locally controlled security camera system, particularly those using Home Assistant.
Frigate uses motion to identify where it needs to look for objects. This helps filter out activity such as shadows and wind, so recordings and alerts can focus on objects you care about. You can set zones to distinguish a person approaching the front steps from activity elsewhere in the frame. Frigate can retain recordings based on detected objects or record continuously.
Home Assistant integration makes camera feeds, recorded media, sensors, and switches available for home automations. Frigate also shares detection events through MQTT with OpenHab, NodeRed, and other compatible systems. WebRTC and MSE support low-latency live viewing, while RTSP restreaming reduces the number of connections to each camera.
Frigate uses OpenCV and TensorFlow for local object detection. A GPU or supported AI accelerator is recommended for better performance. The software is free and licensed under MIT; Frigate+ offers optional custom models designed for Frigate.
Claim this page with an email at frigate.video. Frigate gets the verified badge, and you can upgrade the listing to be featured on localhosted. Proud to be listed? Put our badge on your site.
Want more people to find Frigate?Promote it
Something wrong or outdated on this page?
818Updated 4 years agoApache-2.0
macOS · Windows · Linux · Docker#Home Assistant integration#Works offline
DeepStack is a self-hosted computer vision API for developers adding image analysis to camera systems, home automation or other applications. It runs prebuilt and custom models on your own hardware and works fully offline. Image processing stays on the device or server where you host it, with no cloud service required.
1.4KUpdated 1 year agoMIT
Docker · Web#Home Assistant integration
Double Take connects Frigate camera images to facial recognition services through a shared web interface and API. It's for people running camera systems and Home Assistant who want to identify familiar faces and use the results in home automations. The app runs on your own server in Docker and is open source under the MIT license.
1.5KUpdated 2 weeks agoApache-2.0
#Home Assistant integration#Multimodal input#Ollama integration
6KUpdated 2 days ago
#Home Assistant integration
Scrypted is a server-based video integration platform for people who want to view their home cameras through their existing smart home apps and displays. It supports most cameras and focuses on low latency streaming. Its NVR plugin adds continuous recording and smart detections for people who also need a record of what happened.
982Updated 1 year ago
macOS · Windows · Linux · Docker#Home Assistant integration#Image-to-image#Multimodal input
3.1KUpdated 2 months agoApache-2.0
#Home Assistant integration#Voice activity detection#Wake word detection
LLM Vision is a free, open-source Home Assistant integration for people who want their smart home to interpret what cameras see. It uses multimodal LLMs to describe images, video files, live feeds and Frigate events, then uses those results in notifications and automations.
CodeProject.AI Server gives developers a shared API for AI tasks that run on their own hardware. It's a self-hosted service for adding image analysis, text processing and generation to applications. Processing stays on the machine running the server, without cloud calls or sending data outside your device or network.
Willow is a self-hosted voice assistant platform for people who want home automation voice control on their own hardware. It runs on Espressif's ESP32-S3-BOX family and connects to Home Assistant, openHAB, or other services that accept speech results over HTTP. The project is open source under Apache 2.0.