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Hackathon: Building your own Agent LLM Wiki

lumaHosted on Luma

Fetched 1 day ago

Saturday, May 16, 2026

to Sunday, May 17, 2026

•

6 hours long

Artificial Intelligence

Event Type

in person

194

Participants

$1,500

Prize Pool

17

Est. Projects

​🧠 AI-Memory Hackathon: Building your own Agent LLM Wiki 🚀 "Instead of just retrieving from raw documents at query time, the LLM incrementally builds and maintains a persistent wiki" - Karpathy Recently, Karpathy popularised the idea of LLM Wiki. We decided to give it a go and try to extend on that idea and build one together with you. ​​🏆 $1,500+ Cash Pool Main Prizes 🥇 Prize: $800 cash🥈 Prize: $500 cash🥉 Prize: $200 cash 🧰 Build LLM Knowledge Wiki In this hands-on hackathon, you will use Cognee’s open-source memory engine to build your LLM Knowledge Wiki Your wiki should do thee base operations: IngestQuery + Self-improveLint Check how Karpathy explains it here: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f 💥 Show us what you got You will have 3 minutes to stand out: Present your idea and explain how you leverage agent self-improvementRun a live demo that showcases your agent in action ​​⏱️ Schedule 12:00 PM — Doors open + Networking12:30 PM — Opening remarks + partner demos1:00 PM — Hacking begins4:30 PM — Project Submission Deadline - finalists selection5:00 PM — Finalist presentation & judging5:30 PM — Awards ceremony6:00 PM — Event wrap-up & doors close ​Technology & Venture Partners Redis About Cognee Cognee is an open-source AI memory engine that transforms unstructured data into persistent, queryable memory. It enables AI agents to store, retrieve, and reason over information across time, making it possible to build more reliable, adaptive, and stateful AI systems. About Redis Redis is a real-time context engine that unifies streaming and vector data to power intelligent applications and AI agents with instant awareness. It enables developers to process and serve dynamic context at sub-millisecond speed with enterprise-grade reliability, delivering highly responsive and personalized experiences at scale. About Pebblebed Pebblebed is a technical early stage VC founded by Pam Vagata (cofounder of OpenAI, ran AI for Stripe, inventor of FBLearner Flow); Keith Adams (founded Facebook AI Research, was chief architect at Slack, 20th engineer at VMWare) and Tammie Siew (former Sequoia Southeast Asia investor, former Sequoia & Notable Capital backed founder)

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