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Hack the Video Agent Context Graph (OpenAI + Neo4j + AWS + TwelveLabs)

lumaHosted on Luma

Fetched about 15 hours ago

Thursday, July 30, 2026

to Friday, July 31, 2026

•

11 hours long

Artificial IntelligenceCloud ComputingSocial Impact

Event Type

in person

169

Participants

15

Est. Projects

Hack the Video Agent Context Graph Video is one of the hardest data types to search: hours of footage where everything you care about—what is shown, said, and written on screen—is locked inside frames nobody has time to watch. Your challenge is to build a video agent that turns what it sees into a context graph it can reason over. In one full day, your agent will ingest raw video, understand it across vision, audio, and speech with TwelveLabs, and write what it finds into a Neo4j context graph: entities, scenes, tags, and the relationships between them. Strands Agents orchestrates the pipeline. OpenAI drives the reasoning. Go solo or form a team. No prior graph or video AI experience is required. The event operator expects to provide starter templates and the technical stack; final links and access instructions will be shared when confirmed. Prize categories and judging details are still to come. Build something that watches, tags, and connects. What You Will Build With Strands Agents to orchestrate the video-to-graph pipelineOpenAI to reason over extracted contextTwelveLabs to understand vision, audio, speech, and on-screen contentNeo4j to model entities, scenes, tags, and their connections Schedule 9:30 AM - Doors, check-in, coffee, and setup10:00 AM - Orchestrating the Pipeline with Strands Agents - Elizabeth Fuentes10:15 AM - Reasoning over Video Context with OpenAI - Charlie Guo10:30 AM - Understanding Vision, Audio, and Speech with TwelveLabs - James Le10:45 AM - Modeling a Neo4j Context Graph: Entities, Scenes, Tags, and Connections - Jeremy Adams11:00 PM - Challenge briefing, starter templates, questions, and team formation - Hacking Begins12:00 PM - Lunch / setup buffer; food details TBD4:00 PM - Target submission window; final cutoff - Judges review submissions5:15 PM - Target demo and judging window7:00 PM - Target awards and closing remarks; prize details TBD7:30 PM - Doors close Who Should Join AI, ML, and software engineersBuilders working with agents, video, search, retrieval, or knowledge graphsTechnical founders and product engineersDevelopers curious about multimodal reasoning and graph-based contextFirst-time video AI or graph builders who want a practical starting point Bring a laptop and come ready to build. You may participate solo or with a team. Event Ownership This event is organized and operated by the lead event team, whose final public name and contact are still to be confirmed. HackerSquad and The Builder Collective are providing promotional support only; they are not producing or operating the event. Venue operations, registration decisions, attendee support, speakers, food, AV, judging, prizes, safety, and day-of production belong to the lead event operator. When: Thursday, July 30, 2026 | 9:30 AM-8:00 PM PT; technical program begins at 10:00 AMWhere: AWS Builder Loft, 525 Market St, San Francisco, CA 94105

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • • Hosted by a university
  • • Open to students
  • • MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct