videodb

Ingest, index, and stream video content from local files, URLs, and live feeds.

3|2|Updated Mar 8, 2026

Search Tags:#streaming #timeline-editing #video-ingest #ai-indexing #visual-index #spoken-index

Ready to run

npx skills add https://github.com/agentmatters/mullai-bot --skill videodb-agentmatters

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: videodb
Source: https://github.com/agentmatters/mullai-bot/tree/main/src/Mullai.Skills/Skills/claude-code-everything/videodb
Command: npx skills add https://github.com/agentmatters/mullai-bot --skill videodb-agentmatters

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python-dotenv, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Ingest, index, and stream video content with AI-powered capabilities to transform raw footage into searchable, playable assets across ingestion, indexing, editing, and streaming workflows.

Core Features & Use Cases

Ingest from local files, URLs, RTSP/live feeds, and live desktop captures.
Build visual, temporal, and spoken indexes for fast search and retrieval.
Edit, transcode, and generate media assets with real-time alerts for live streams and events.
Use cases include creating highlight reels, monitoring live feeds, and automating video workflows in media apps.

Quick Start

Connect to VideoDB, upload a video to a collection, index spoken words and scenes, then generate a stream URL.

Frequently Asked Questions about videodb

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I index spoken words and scenes in a video for search?▼

You can ingest video content from local files, URLs, and RTSP live feeds to build visual and spoken indexes. This allows you to search and retrieve specific segments, monitor live feeds in real-time, and generate alerts for live stream events.

Can I ingest and index live RTSP feeds for real-time alerts?▼

Yes, you can ingest live RTSP feeds and desktop captures to build searchable indexes. The skill supports real-time alert generation for live streams, enabling automated monitoring and immediate event detection across your video feeds.

What is the best way to perform timeline editing on indexed video streams?▼

The best way to perform timeline editing on indexed video streams is to use the skill's built-in editing features after ingestion. You can transcode media, generate highlight reels, and create assets directly from the searchable streams retrieved from your visual and spoken indexes.

Does Python video ingest support local files and URLs?▼

Yes, Python video ingest supports local files, URLs, RTSP live feeds, and desktop captures. You upload the video to a collection, index the spoken words and scenes, and generate a stream URL for downstream applications.

What do I need to set up before using AI video indexing?▼

Before using AI video indexing, you need Python and the python-dotenv dependency installed to manage environment configurations. You then connect to VideoDB, upload your video source to a collection, and build visual and spoken indexes for search.