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Source channel @githubtrending · Post #15400 · Jan 8

#python#large_language_models#llms#long_video_understanding#multi_modal_llms#rag#retrieval_augmented_generation Vimo is a desktop app that lets me chat with any video, from short clips to hundreds of hours, in simple natural language. I can drag and drop videos, ask questions, find exact moments, compare multiple videos, and export useful insights, all on macOS, Windows, or Linux. Powering this is the VideoRAG algorithm, which deeply understands visual, audio, and contextual information, giving accurate answers even for very long videos. This helps me save time, understand complex content faster, and turn large video libraries into searchable, usable knowledge. https://github.com/HKUDS/VideoRAG

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@githubtrending · Post #15488 · 02/13/2026, 12:30 PM

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#swift#analysis#analytics#cocoapods#crashlytics#debug#debugger#debugging#hacktoberfest#layout_debugger#leak_detection#log#logs_analysis#networking#performance_analysis#sandbox#swift#swift6#ui#uikit#view DebugSwift is a comprehensive toolkit that simplifies debugging for Swift iOS apps by providing real-time monitoring of network requests, performance metrics (CPU, memory, FPS), crash reports, and app resources like keychain and user defaults. It includes interface tools for visualizing layouts with grid overlays and touch indicators, plus memory leak detection and console logging. The main benefit is that you can quickly identify and fix issues during development without leaving your app—just shake your device to toggle the debug panel, making troubleshooting faster and more efficient. https://github.com/DebugSwift/DebugSwift