Topic: video-understanding

oxbshw/

watch-skill

▲ 21/wk

Video understanding and self-verification for AI agents. Turn videos, streams, and agent screen recordings into searchable, timestamped evidence—then use THE LOOP to inspect, fix, and verify the work. MCP, CLI, REST, local-first.

NVIDIA-AI-Blueprints/

video-search-and-summarization

▲ 19/wk

NVIDIA AI Blueprint for video search and summarization (VSS) is a GPU-accelerated reference architecture for building video analytics agents with real-time verified alerts, visual Q&A, and automated reporting. The VSS Blueprint uses vision language models (VLMs) such as NVIDIA Cosmos, LLMs such as NVIDIA Nemotron, RAG, and NVIDIA NIMs.

HKUDS/

VideoAgent

"VideoAgent: All-in-One Agentic Framework for Video Understanding, Editing, and Remaking"

waybarrios/

vllm-mlx

OpenAI and Anthropic compatible server for Apple Silicon. Run LLMs and vision-language models (Llama, Qwen-VL, LLaVA) with continuous batching, MCP tool calling, and multimodal support. Native MLX backend, 400+ tok/s. Works with Claude Code.

gokayfem/

ComfyUI_VLM_nodes

ComfyUI nodes for vision-language models: Qwen3-VL, Moondream 3, Florence-2, SmolVLM2, InternVL, Gemma 3, MiniCPM-V. Plus open-vocabulary detection, SAM2/SAM3 segmentation, video temporal reasoning, GGUF via llama.cpp, and hosted LLM/VLM APIs.

addxai/

ReflectWorld

ReflectWorld-MM: An Entity-Oriented Multimodal Memory System for Open-Ended Video Stream