sonpiaz

sonpiaz / watch-cli

Public

Give your AI agent eyes and ears for any social video. ~50× cheaper than calling a multimodal API on full video.

kymaapi.com
16
9
100% credibility
Found Apr 30, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

watch-cli is a command-line utility that downloads videos from social platforms, extracts evenly spaced frames, and generates audio transcripts to enable efficient video understanding for AI agents.

How It Works

1
📰 Discover watch-cli

You learn about a handy tool that lets AI assistants 'watch' videos from social sites like YouTube or Twitter by turning them into pictures and words.

2
📥 Set it up on your computer

With one simple download command, the tool checks what you need and places it ready to use on your machine.

3
🔗 Connect a speech service

Sign up for a free speech-to-text account online and add your personal access code so it can understand audio.

4
🎥 Share a video link

Just paste the web address of any social video, and it grabs the full recording.

5
✨ Receive frames and words

In moments, you get the video saved, a set of clear snapshot images from it, and a complete text version of everything spoken.

6
🤖 Feed to your AI helper

Hand the images and text to your AI, and it now fully understands the video without any hassle.

🎉 Videos come alive cheaply

Your AI processes videos super fast and at a fraction of the usual cost, saving time and money on every clip.

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AI-Generated Review

What is watch-cli?

watch-cli is a Shell-based CLI that gives your AI agent eyes and ears for social videos from YouTube, X, LinkedIn, TikTok, Reddit, Vimeo, or Facebook. Drop a URL into the `watch` command, and it downloads the video, extracts evenly spaced JPG frames, and delivers a full audio transcript—bypassing slow multimodal APIs. You get local files ready for your agent to parse, with automatic cookie handling for login-walled content like private posts where you might give read access to a GitHub repo or give collaborator access to settings.

Why is it gaining traction?

It slashes costs 50x and speeds up processing 5x versus full-video multimodal LLMs, using free tools for downloads and frames plus cheap ASR for transcripts. Devs love the structured output—video path, frame list, transcript block—that agents like Claude parse effortlessly, plus subcommands like `dl-video`, `transcribe`, and `audio-q` for tone or scene questions. Bring your own keys or use Kyma's unified API, and it stays current without updates.

Who should use this?

AI agent builders scraping social videos for analysis, like monitoring cliffhanger where to watch trends or giving agents access to classification apps. RAG pipeline devs needing cheap video context, or indie hackers automating content intel without burning API budgets—think giving GitHub Copilot context from road 96-style video logs or giving two agents of soil erosion for environmental monitoring agents.

Verdict

Grab it if you're prototyping agentic video workflows; the installer symlinks everything cleanly, docs cover cookies and models, and MIT license invites forks despite 16 stars and 1.0% credibility score signaling early maturity. Test on public clips first—solid for side projects, but watch for edge cases on paywalled feeds.

(198 words)

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