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* Update version * Create scaffolding for case management (#21293) * implement case management for export apis (#21295) * refactor vainfo to search for first GPU (#21296) use existing LibvaGpuSelector to pick appropritate libva device * Case management UI (#21299) * Refactor export cards to match existing cards in other UI pages * Show cases separately from exports * Add proper filtering and display of cases * Add ability to edit and select cases for exports * Cleanup typing * Hide if no unassigned * Cleanup hiding logic * fix scrolling * Improve layout * Camera connection quality indicator (#21297) * add camera connection quality metrics and indicator * formatting * move stall calcs to watchdog * clean up * change watchdog to 1s and separately track time for ffmpeg retry_interval * implement status caching to reduce message volume * Export filter UI (#21322) * Get started on export filters * implement basic filter * Implement filtering and adjust api * Improve filter handling * Improve navigation * Cleanup * handle scrolling * Refactor temperature reporting for detectors and implement Hailo temp reading (#21395) * Add Hailo temperature retrieval * Refactor `get_hailo_temps()` to use ctxmanager * Show Hailo temps in system UI * Move hailo_platform import to get_hailo_temps * Refactor temperatures calculations to use within detector block * Adjust webUI to handle new location --------- Co-authored-by: tigattack <10629864+tigattack@users.noreply.github.com> * Camera-specific hwaccel settings for timelapse exports (correct base) (#21386) * added hwaccel_args to camera.record.export config struct * populate camera.record.export.hwaccel_args with a cascade up to camera then global if 'auto' * use new hwaccel args in export * added documentation for camera-specific hwaccel export * fix c/p error * missed an import * fleshed out the docs and comments a bit * ruff lint * separated out the tips in the doc * fix documentation * fix and simplify reference config doc * Add support for GPU and NPU temperatures (#21495) * Add rockchip temps * Add support for GPU and NPU temperatures in the frontend * Add support for Nvidia temperature * Improve separation * Adjust graph scaling * Exports Improvements (#21521) * Add images to case folder view * Add ability to select case in export dialog * Add to mobile review too * Add API to handle deleting recordings (#21520) * Add recording delete API * Re-organize recordings apis * Fix import * Consolidate query types * Add media sync API endpoint (#21526) * add media cleanup functions * add endpoint * remove scheduled sync recordings from cleanup * move to utils dir * tweak import * remove sync_recordings and add config migrator * remove sync_recordings * docs * remove key * clean up docs * docs fix * docs tweak * Media sync API refactor and UI (#21542) * generic job infrastructure * types and dispatcher changes for jobs * save data in memory only for completed jobs * implement media sync job and endpoints * change logs to debug * websocket hook and types * frontend * i18n * docs tweaks * endpoint descriptions * tweak docs * use same logging pattern in sync_recordings as the other sync functions (#21625) * Fix incorrect counting in sync_recordings (#21626) * Update go2rtc to v1.9.13 (#21648) Co-authored-by: Eugeny Tulupov <eugeny.tulupov@spirent.com> * Refactor Time-Lapse Export (#21668) * refactor time lapse creation to be a separate API call with ability to pass arbitrary ffmpeg args * Add CPU fallback * Optimize empty directory cleanup for recordings (#21695) The previous empty directory cleanup did a full recursive directory walk, which can be extremely slow. This new implementation only removes directories which have a chance of being empty due to a recent file deletion. * Implement llama.cpp GenAI Provider (#21690) * Implement llama.cpp GenAI Provider * Add docs * Update links * Fix broken mqtt links * Fix more broken anchors * Remove parents in remove_empty_directories (#21726) The original implementation did a full directory tree walk to find and remove empty directories, so this implementation should remove the parents as well, like the original did. * Implement LLM Chat API with tool calling support (#21731) * Implement initial tools definiton APIs * Add initial chat completion API with tool support * Implement other providers * Cleanup * Offline preview image (#21752) * use latest preview frame for latest image when camera is offline * remove frame extraction logic * tests * frontend * add description to api endpoint * Update to ROCm 7.2.0 (#21753) * Update to ROCm 7.2.0 * ROCm now works properly with JinaV1 * Arcface has compilation error * Add live context tool to LLM (#21754) * Add live context tool * Improve handling of images in request * Improve prompt caching * Add networking options for configuring listening ports (#21779) * feat: add X-Frame-Time when returning snapshot (#21932) Co-authored-by: Florent MORICONI <170678386+fmcloudconsulting@users.noreply.github.com> * Improve jsmpeg player websocket handling (#21943) * improve jsmpeg player websocket handling prevent websocket console messages from appearing when player is destroyed * reformat files after ruff upgrade * Allow API Events to be Detections or Alerts, depending on the Event Label (#21923) * - API created events will be alerts OR detections, depending on the event label, defaulting to alerts - Indefinite API events will extend the recording segment until those events are ended - API event start time is the actual start time, instead of having a pre-buffer of record.event_pre_capture * Instead of checking for indefinite events on a camera before deciding if we should end the segment, only update last_detection_time and last_alert_time if frame_time is greater, which should have the same effect * Add the ability to set a pre_capture number of seconds when creating a manual event via the API. Default behavior unchanged * Remove unnecessary _publish_segment_start() call * Formatting * handle last_alert_time or last_detection_time being None when checking them against the frame_time * comment manual_info["label"].split(": ")[0] for clarity * ffmpeg Preview Segment Optimization for "high" and "very_high" (#21996) * Introduce qmax parameter for ffmpeg preview encoding Added PREVIEW_QMAX_PARAM to control ffmpeg encoding quality. * formatting * Fix spacing in qmax parameters for preview quality * Adapt to new Gemini format * Fix frame time access * Remove exceptions * Cleanup --------- Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com> Co-authored-by: tigattack <10629864+tigattack@users.noreply.github.com> Co-authored-by: Andrew Roberts <adroberts@gmail.com> Co-authored-by: Eugeny Tulupov <zhekka3@gmail.com> Co-authored-by: Eugeny Tulupov <eugeny.tulupov@spirent.com> Co-authored-by: John Shaw <1753078+johnshaw@users.noreply.github.com> Co-authored-by: Eric Work <work.eric@gmail.com> Co-authored-by: FL42 <46161216+fl42@users.noreply.github.com> Co-authored-by: Florent MORICONI <170678386+fmcloudconsulting@users.noreply.github.com> Co-authored-by: nulledy <254504350+nulledy@users.noreply.github.com>
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.