yueying
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- FlicenseNot gradedqualityBmaintenanceEnables AI clients to watch and hear videos from local files or YouTube, Vimeo, and Loom links by returning timestamped key frames, a transcript, a contact sheet, and a combined timeline, with all processing done locally.-
- AlicenseAqualityBmaintenanceEnables AI agents to analyze videos by producing timestamped transcripts, keyframe contact sheets, and metadata reports from local files or online URLs, fully offline and without API keys.6MIT
- AlicenseAqualityDmaintenanceLet AI agents watch videos: local transcripts, speaker labels, scenes, chapters and exact-moment search from any video URL or file. Fully local, no API keys.43AGPL 3.0
- AlicenseNot gradedqualityBmaintenanceEnables an agent to process local video files and then read, search and inspect the results: timestamped transcripts, on-screen text and key frames as images. Everything runs locally, so an agent can answer questions like how to perform a task shown in a screencast or meeting recording.448 npm1MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to download, convert, and visually analyze videos by providing timestamped frames and locally transcribed speech, all without API keys.MIT
- AlicenseNot gradedqualityAmaintenanceLets any LLM agent actually watch videos: a watch_video tool takes a URL or local file and returns scene-aware keyframes fused with a timestamped transcript, processed 100% locally with per-source caching.1,045 PyPI2,275MIT
TDQS
Scored across 6 tools
Each tool targets a distinct step in the video processing workflow: create (watch_video), read transcript (get_transcript), search (search_transcript), visual overview (get_frames), precise frame lookup (get_frame_at), and listing (list_videos). There is no meaningful overlap between any two tools; the boundaries are clear.
All tool names follow a consistent imperative verb_noun snake_case convention (watch_video, get_transcript, list_videos, search_transcript, get_frames, get_frame_at). Even 'get_frame_at' is a predictable extension of the get_ pattern, so naming is uniform and easy to guess.
Six tools is well-scoped for a video analysis server. Each tool covers a necessary operation without redundancy, and the count is appropriate for the domain.
The core workflow is well covered: ingest a video, retrieve transcript segments, search within them, and view visual content. The only notable gap is the absence of a delete/cleanup tool to remove processed videos or cached results, though list_videos does expose disk usage as a workaround.