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Josh HawkinsandGitHub
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* strip intel media driver on install The manually built iHD_drv_video.so was installed with full debug info, making it 513 MB in the image instead of 41 MB stripped. Installing with install/strip removes about 240 MB from the compressed amd64 image. * remove rjsf 6.11.0 dependabot hold The hold covered the GenAI form refilling the saved model after a provider switch. That was a GenAIModelWidget bug that rjsf 6.11 exposed, and it was fixed with the 6.11.1 bump in #24901, so no rjsf version needs holding. * strip intel media driver after install install/strip skipped iHD_drv_video.so because media-driver installs it with install(PROGRAMS), not as a target. Strip it directly instead. * bump dev docs version in header * attest published images with github build provenance Published images carried unsigned BuildKit provenance, so nothing tied an image digest to the commit it was built from. Each published image (the default multi-arch build and the six variants) now gets an actions/attest provenance attestation pushed to GHCR, verifiable with gh attestation verify. Release tags are skopeo copies with the same digest, so they're covered too. Storage records are off because they require an org-owned repo.
Frigate NVR™ - Realtime Object Detection for IP Cameras
[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
Streamlined review workflow
Multi-camera scrubbing
Built-in mask and zone editor
Translations
We use Weblate to support language translations. Contributions are always welcome.
Copyright © 2026 Frigate, Inc.