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Josh HawkinsandGitHub
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* bound recording snapshot lookups by segment length Ordering the recording snapshot and Frigate+ lookups by stream_type ahead of start_time broke index order, so SQLite fetched and sorted every older recording for the camera on each request (about 100 ms on a 30 day camera, run on the event loop). A start_time lower bound of the frame time minus MAX_SEGMENT_DURATION keeps the lookup to a few rows. * bound recording overlap queries by segment length Clip, export, review and recording deletion, debug replay, motion search, and audio transcription found overlapping recordings with an OR clause that gave SQLite no start_time range, so every call read the camera's whole recording history (30 to 300 ms on a 30 day database). The classification and review description point lookups did the same whenever the timestamp had no recording. A shared recording_overlap helper now adds a start_time lower bound of MAX_SEGMENT_DURATION before the range, which drops no rows because segments are always shorter than that. * probe webrtc before reporting it as not configured The WebRTC gate read only the Frigate config, so an install with no go2rtc candidates showed WebRTC as not configured, even though go2rtc fills in default candidates at startup (including the internal one under the HA app) and WebRTC often worked. Unset candidates now run the connectivity probe first, and only a failed probe reports not configured. The not-configured reason shows as a neutral note that names the setting and says WebRTC is optional, rather than as a red error. * validate trusted_proxies at config load Malformed trusted_proxies entries were only parsed per request in get_remote_addr, so a typo logged a warning on every proxied request and the entry was skipped, collapsing all clients behind that proxy into one rate-limit bucket. The config now rejects unparseable entries at startup and get_remote_addr no longer needs the fallback. Host bits are accepted (192.168.1.1/24 reads as 192.168.1.0/24) so a common typo doesn't take down safe mode, which copies the auth section verbatim. * remove path data from thumbnail payloads The thumbnail data carried a full copy of the object's path, which went out as snapshot.path_data in every events message alongside the top level path_data. Nothing reads the snapshot copy, and the path has no length limit, so it only made events payloads larger. * hide incompatible frigate+ models behind a toggle * keep the probe failure detail in the not-configured console message * use a unique id for each show incompatible models toggle * pad the bottom of the desktop timeline so zoom buttons don't cover segments * create the admin row when auth is disabled so notification registrations persist Installs that never enabled auth had no admin row, so registering for notifications returned 200 but saved nothing. Frigate now creates an admin row with an empty password hash when auth is disabled, and treats that empty hash as first-time setup when auth is enabled later so a password is still generated and printed. Registration returns 404 when no user row was updated, and the success toast only shows after the request succeeds. The Users settings page hides Add User and Reset Password when auth is disabled and notes that accounts only apply once built-in auth is enabled.
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.