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2019-01-26

frigate logo

frigate

Not rated yet

34.6K GitHub stars

Type:

Tool

Platforms:

Github

Task:

Chat with AITranslate textBuild RAG systemsConnect AI to appsMonitor infrastructure

Best for:

MarketingCustomer serviceIT & Development
Visit websiteView on GitHub

Pricing


Pricing information has not been added yet.

Overview

Frigate is an open-source network video recorder designed for local, real-time object detection on IP camera streams. It is closely integrated with Home Assistant and uses computer-vision models to identify relevant objects while keeping video processing and detection on the user’s own hardware.

The system combines lightweight motion detection with dedicated object-detection processes so expensive inference is performed only where it is needed. It supports hardware accelerators and GPUs, object-aware recording retention, MQTT integration, RTSP restreaming, low-latency WebRTC and MSE viewing, zone and mask configuration, and a streamlined workflow for reviewing detected events.

Frigate is primarily aimed at smart-home users and self-hosters who want intelligent security-camera monitoring without sending their video feeds to a cloud service. Its architecture emphasizes efficient local processing and integration with automation systems, making it useful for presence detection, security alerts, searchable recordings, and other camera-based home or small-site monitoring workflows.

README

logo

Frigate NVR™ - Realtime Object Detection for IP Cameras

License: MIT

Translation status

[English] | 简体中文

A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.

Use of a GPU or AI accelerator is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead. See Frigate's supported object detectors.

  • Tight integration with Home Assistant via a custom component
  • Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary
  • Leverages multiprocessing heavily with an emphasis on realtime over processing every frame
  • Uses a very low overhead motion detection to determine where to run object detection
  • Object detection with TensorFlow runs in separate processes for maximum FPS
  • Communicates over MQTT for easy integration into other systems
  • Records video with retention settings based on detected objects
  • 24/7 recording
  • Re-streaming via RTSP to reduce the number of connections to your camera
  • WebRTC & MSE support for low-latency live view

Documentation

View the documentation at https://docs.frigate.video

Donations

If you would like to make a donation to support development, please use Github Sponsors.

License

This project is licensed under the MIT License.

  • Code: The source code, configuration files, and documentation in this repository are available under the MIT License. You are free to use, modify, and distribute the code as long as you include the original copyright notice.
  • Trademarks: The "Frigate" name, the "Frigate NVR" brand, and the Frigate logo are trademarks of Frigate, Inc. and are not covered by the MIT License.

Please see our Trademark Policy for details on acceptable use of our brand assets.

Screenshots

Live dashboard

Live dashboard

Streamlined review workflow

Streamlined review workflow

Multi-camera scrubbing

Multi-camera scrubbing

Built-in mask and zone editor

Built-in mask and zone editor

Translations

We use Weblate to support language translations. Contributions are always welcome.

Translation status

Copyright © 2026 Frigate, Inc.

Releases

Release information has not been added yet.

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