🧠 AI-Memory Hackathon: Building Your Own Agent LLM Knowledge Wiki

"Instead of just retrieving from raw documents at query time, the LLM incrementally builds and maintains a persistent wiki" — Karpathy

Inspired by Karpathy's popularization of the LLM Wiki concept, Cognee is inviting builders to take that idea further — collaboratively extending and constructing an Agent Knowledge Wiki together. This is your chance to get hands-on with cutting-edge AI memory technology and compete for serious prizes!

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🏆 Prize Pool: $1,500+ Cash

Place	Prize
🥇 1st	$800 cash
🥈 2nd	$500 cash
🥉 3rd	$200 cash

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🛠️ What You'll Build

Using Cognee's open-source memory engine, participants will construct their own LLM Knowledge Wiki capable of three core operations:

• 📥 Ingest — feed and structure raw information
• 🔍 Query + Self-improve — retrieve and refine knowledge over time
• ✅ Lint — validate and clean the knowledge base

👉 See how Karpathy explains the concept: Karpathy's LLM Wiki Gist

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💥 Presentation Format

Each team gets 3 minutes to impress the judges:

• 🎤 Pitch your idea and demonstrate how you leverage agent self-improvement
• 🖥️ Run a live demo showcasing your agent in action

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⏱️ Schedule

Time	Activity
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 presentations & judging
5:30 PM	🏆 Awards ceremony
6:00 PM	🎉 Event wrap-up & doors close

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🤝 Technology & Venture Partners

⚙️ Cognee

Cognee is an open-source AI memory engine that converts unstructured data into persistent, queryable memory. It empowers AI agents to store, retrieve, and reason over information across time — enabling more reliable, adaptive, and stateful AI systems.

🔴 Redis

Redis serves as a real-time context engine that unifies streaming and vector data to power intelligent applications and AI agents with instant awareness. It allows developers to process and serve dynamic context at sub-millisecond speed with enterprise-grade reliability.

💼 Pebblebed

Pebblebed is a technical early-stage VC firm founded by:

• Pam Vagata — co-founder of OpenAI, ran AI for Stripe, inventor of FBLearner Flow
• Keith Adams — founded Facebook AI Research, chief architect at Slack, 20th engineer at VMware
• Tammie Siew — former Sequoia Southeast Asia investor, former Sequoia & Notable Capital backed founder

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🎟️ Register now: lu.ma/uhda61yp