AI agent starters · Rank #20

B

video-search-and-summarization

Grade B: derived only from the two verdicts below. How grades work

NVIDIA AI Blueprint for video search and summarization (VSS) is a GPU-accelerated reference architecture for building video analytics agents with real-time verified alerts, visual Q&A, and automated reporting. The VSS Blueprint uses vision language models (VLMs) such as NVIDIA Cosmos, LLMs such as NVIDIA Nemotron, RAG, and NVIDIA NIMs.

ActiveDeps unknownFree

Why this verdict

How we check →
  • 1807 commits by 77 contributors in the last 90 days (429 in the last 30). receipt ↗
  • Latest release v3.2.1, 87 days ago. receipt ↗

Snapshot: commit 7f4cca9 on develop, checked 2026-10-19 06:19 UTC. Receipts link to files at this exact commit.

Check before you commit
  • Manifest not found: package.json

What the README says you get

  • AI
    Visual Q&A reportsAsk visual questions and automatically generate reports
  • API
    Video analytics REST APINode.js and Express REST API service for VSS Video Analytics data
  • Deploy
    Docker Compose and HelmDeployment configs, Docker Compose, and Helm charts
  • Other
    Natural language video searchSearch video streams or archives using natural language queries
  • Other
    Long video summarizationSummarize hours of video
  • Other
    Real-time alert verificationDetect and verify real-time alerts with VLMs
  • Other
    Video clip retrievalvideo snapshot/clip retrieval
  • Other
    Semantic video searchsemantic video search using embeddings
  • Other
    Real-time video intelligenceReal-Time Video Intelligence layer extracts rich visual features
  • Other
    Behavior analytics pipelinePython streaming pipeline for spatial AI analytics, incident detection
  • Other
    Camera and VMS ingestConnects to RTSP/ONVIF/Milestone cameras, VMS systems, and NVStreamer sources
  • Other
    Message broker consumersMultiprocessing Redis and Kafka consumers that decode VSS protobuf messages
  • Other
    MCP tool interfaceleverages the Model Context Protocol (MCP) to access video analytics data
  • UI
    Next.js frontendFrontend monorepo (Next.js, Turbo)

Extracted from the kit's README by a local AI model (deepseek-flash) on Oct 19, 2026. Every item is checked against an exact README quote. A README claim is the maker's description, not something we tested.

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History

Sep 29, 2026 → Oct 19, 2026. One square per check, colored by maintenance status. Hover for details.

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DateMaintenanceDependenciesCommits (90d)
Oct 19, 2026ActiveDeps unknown1807
Oct 12, 2026ActiveDeps unknown2068
Sep 29, 2026ActiveDeps unknown1832

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