Frigate NVR Updates: Export Features and Build Fixes
Three pull requests were merged addressing export functionality, system stability, and build issues. Notable additions include a new zip download feature for cases and fixes for ROCm Docker builds.
Duration: PT1M45S
Episode overview
This episode is a short developer briefing from Frigate NVR Updates.
It explains recent repository work in plain language.
- Show: Frigate NVR Updates
- Published: 2026-04-29T00:00:00Z
- Audio duration: PT1M45S
Transcript excerpt
This excerpt keeps the crawler page concise. Listen to the episode or use the RSS feed for the full update.
Good morning, this is your Frigate NVR Updates for Tuesday, April 29th, 2026.
Three merged pull requests and stability improvements highlight today's activity in the Frigate repository.
NickM-27 merged "Add ability to download case as zip file," introducing new export functionality that allows users to package and download complete cases as compressed archives. The changes span the export API and web interface, adding 201 lines of new functionality across two files.
Josh Hawkins merged "Miscellaneous fixes," a comprehensive update addressing multiple system components. Key improvements include ensuring the embeddings process restarts after maintainer thread crashes, fixing recording staleness threshold scaling with segment time, and resolving issues with Gemini tools calls and…
NickM-27 also merged "Fix ROCm build," resolving Docker build issues caused by Intel VPL upgrades. This targeted fix updates the ROCm Dockerfile to address compatibility problems.
All three pull requests received single approvals and were merged within the past 24 hours, indicating active development momentum.
Nearby episodes from Frigate NVR Updates
- Docker Generator and Debug Replay Improvements
- Ollama Cloud Integration and UI Fixes
- Timeline and Configuration Fixes
- Export Chapters and Birdseye Timing Fix
- Core System Fixes
- Weekly Recap - UI Fixes & Performance Optimization
- Performance Optimizations and UI Improvements
- GenAI Optimizations and Modal Reverts