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* Add on-demand Frigate+ API key validation The Frigate+ settings page reported the API key as validated whenever it matched the expected format, without ever checking it with the server. - Clarify the status text to say the key matches the expected format - Add PlusApi.validate_key(), which requests a token from Frigate+ and reports the key as valid, invalid, unreachable, or not set; server errors and timeouts are not reported as an invalid key - Add an admin-only POST /plus/validate endpoint and regenerate the API spec - Add a "Validate with Frigate+" button that shows the result inline Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01E4iDiZE2b3tVFVYyZrfZde * Validate Frigate+ key asynchronously and keep cached token on bad replies - Use aiohttp for the validation request so the endpoint awaits it instead of blocking a worker thread - Only replace the cached token when the reply has a string accessToken and numeric expires; otherwise report unreachable so an unexpected response can't break later Frigate+ requests - Test against a local aiohttp server, covering timeouts, connection failures, non-JSON replies and unusable token shapes Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01E4iDiZE2b3tVFVYyZrfZde * Honor proxy settings when validating the Frigate+ key aiohttp ignores HTTP(S)_PROXY unless trust_env is set, so validation reported Frigate+ as unreachable on installs that need a proxy while other Frigate+ requests still worked. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01E4iDiZE2b3tVFVYyZrfZde --------- Co-authored-by: Claude Opus 5.5 <noreply@anthropic.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.