VideoDB
Real-time perception, memory, and action layer for AI agents
Details
- Follow on
- @videodb_ioLinkedIn
- Categories
- AIDeveloper ToolsVideo & Audio Tools
- Use Cases
- AI AgentsAI AutomationVideo Editing
- Target Audience
- Software DevelopersAI EngineersEnterprises
- Pricing
- Freemium from $20
- Featured in
- Best Tools for AI Engineers
- Alternative To
LanceDB
AWS
Memories.ai
About VideoDB
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. 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. 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 1. 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 near real-time. 2. Understand: Define Indexes-as-code to extract meaning: Scene detection, transcripts, visual signals, and custom prompts to define what “matters”. Search returns playable moments, not timestamps. 3. 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 -> Works 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 Enterprise Security: SOC 2 Type II, HIPAA-ready with BAA support, GDPR aligned with regional deployment options, and end-to-end encryption and flexible data residency. Designed for production workloads across sensitive environments.
Product Insights
VideoDB provides a programmable video and audio infrastructure that enables AI agents to process media as live context through storage, indexing, and real-time streaming. The platform bridges raw media streams with agent reasoning by offering freemium API, CLI, and MCP access.
- Native support for diverse inputs including RTSP, YouTube, and desktop capture.
- Skill-first integration allows deployment of video capabilities via npx and SDKs.
- Enterprise-grade security with SOC 2 Type II compliance and HIPAA readiness.
- Programmable processing converts unstructured media into searchable context and triggers.
Ideal for: Software Developers and AI Engineers who need to equip AI agents with the ability to observe, index, and trigger actions from real-time video and audio streams.
VideoDB serves as a media-focused alternative to general data and infrastructure platforms such as LanceDB, AWS, and Memories.ai.
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We're thrilled to launch VideoDB on PeerPush! Our goal is to give AI agents eyes and ears, allowing developers to easily build real-time video perception and memory into their AI Agents.