# Hackathon: Building your own Agent LLM Wiki
**Date de l'événement :** 16/05/2026
* Publié le 16/05/2026

### Date
16/05/2026

### Galerie d'image
![1.png](https://firebasestorage.googleapis.com/v0/b/memory-ai.appspot.com/o/prod%2FrKxsdSTpqCfzIFY8Y2hg%2FprojectsMedias%2FDaxxj7TPYcAwGyJ8o5U8%2Fthumbs%2F1_1600x900.png?alt=media&token=6704a1ea-7026-4602-a26a-64cb73d87c1a) 

### Ville
`#San Francisco` 

## Description
🧠 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:  
Ingest  
Query + Self-improve  
Lint  
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-improvement  
Run a live demo that showcases your agent in action  
⏱️ Schedule  
12:00 PM — Doors open + Networking  
12:30 PM — Opening remarks + partner demos  
1:00 PM — Hacking begins  
4:30 PM — Project Submission Deadline - finalists selection  
5:00 PM — Finalist presentation & judging  
5:30 PM — Awards ceremony  
6:00 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)

**Lien de l'évènement :** [https://luma.com/event/evt-GKwHjS5VSatwkKx](https://luma.com/event/evt-GKwHjS5VSatwkKx)

### Pays
`#United States` 

### Continent
`#North America` 

**Médias associés :**
[Média 1](https://80954c1d.sibforms.com/serve/MUIFABojU8UBbDiX_TdcGa7Wv5VMoVB_nBZ92mkLkGlS1pJLpP7s-pVJusyN-7cG9KPrSuv3fv7TmXwuw_AoyNUShR8jZhmNDgUbZPJO2V5xYXlNz4YXOTjSb8X7Lj7PRIPzgzEWlLbA4f4uw_F8RM51EUsjSfQQko0qaby98GHMdYJVWLIXd5JzzaXBGmqN2CcYOFuqnbnaYEnw) 

## event_id
evt-GKwHjS5VSatwkKx@events.lu.ma

### Outils
`#Cognee` `#Redis` 

### Selection
`#Agents` 



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