VideoDB
VideoDB is the real-time perception, memory, and action layer for AI agents
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VideoDB: Give AI agents eyes and earsVideoDB is a modern backend for AI agents, giving them the ability to see, understand, and act on video and audio in real time. While most AI systems are built on text and static data, the real world runs on continuous streams — cameras, meetings, screens, and live feeds. VideoDB turns this raw, unstructured media into structured, searchable context with playable evidence, so agents can operate on it natively. Instead of treating video as files, VideoDB treats it as live context.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 npxSDK-first: Python and Node.jsWorks with any LLM, VLM, or agent framework Native integrations with tools like Claude, Cursor, and Codex Supports MCP and agent workflows (Zapier, n8n, custom runtimes)Serverside processing all workloads. It plugs directly into your agent loop with minimal glue code.Enterprise-ready by design: SOC 2 Type II, HIPAA-ready with BAA support, GDPR aligned with regional deployment options, and end-to-end encryption and flexible data residency (US, EU, or custom regions).
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