VideoDB: Give AI Agents Eyes and Ears VideoDB is a modern backend for AI agents, giving them the ability to see, understand, and act on video and audio in real time. It unifies storage, indexing, streaming, editing, memory, retrieval, and delivery into a single programmable system. Instead of treating video as files, VideoDB treats it as live context. What VideoDB Does VideoDB sits between raw media streams and agent reasoning systems. It converts video into: - Structured context — scenes, transcripts, events - Searchable memory — semantic + multimodal retrieval - Action triggers — real-time alerts, workflows, editing So your agents don't just read the world — they observe it continuously. Core Workflow: See → Understand → Act See Ingest video and audio from anywhere: files, cloud storage, YouTube, live streams (RTSP, cameras, drones), and desktop capture (screen, mic, system audio). All streams become agent-readable in ~real time. Understand Define Indexes-as-code to extract meaning: scene detection, transcripts, visual signals, custom prompts to define what "matters", and multiple indexes per stream for evolving understanding. Search returns playable moments, not timestamps. Act Trigger actions directly from video: real-time alerts via webhooks or WebSockets, agent-driven workflows and automations, and programmable editing — clips, summaries, overlays, dubbing. Integration & Ecosystem VideoDB is built for agent-native development: - Skill-first: Install VideoDB skills on any agent using npx - SDK-first: Python and Node.js - Agnostic: Works with any LLM, VLM, or agent framework - Native integrations: Claude, Cursor, and Codex - Extensible: Supports MCP and agent workflows (Zapier, n8n, custom runtimes) Who Uses VideoDB? - AI & Agent Builders — screen-aware agents, coding assistants, autonomous workflows - Media & Content Platforms — archive search, AI-assisted editing and content generation - Security & Monitoring — real-time camera intelligence, automat
