

Hackathon: Building your own Agent LLM Wiki
ββπ§ AI-Memory Hackathon: Building your own Agent LLM Wiki π
β"Instead of just retrieving from raw documents at query time, the LLM incrementally builds and maintains a persistent wiki" - Karpathy
βRecently, 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.
βββπ $1,500+ Cash Pool
βββMain Prizes
βββπ₯ Prize: $800 cash
π₯ Prize: $500 cash
π₯ Prize: $200 cash
βπ§° Build LLM Knowledge Wiki
ββIn this hands-on hackathon, you will use Cogneeβs open-source memory engine to build your LLM Knowledge Wiki
βYour wiki should do thee base operations:
βIngest
βQuery + Self-improve
βLint
βCheck how Karpathy explains it here: https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f
βπ₯ Show us what you got
ββYou will have 3 minutes to stand out:
ββPresent your idea and explain how you leverage agent self-improvement
ββRun a live demo that showcases your agent in action
ββββ±οΈ Schedule
βββ12:00 PM β Doors open + Networking
βββ12:30 PM β Opening remarks + partner demos
βββ1:00 PM β Hacking begins
βββ4:30 PM β Project Submission Deadline - finalists selection
βββ5:00 PM β Finalist presentation & judging
βββ5:30 PM β Awards ceremony
βββ6:00 PM β Event wrap-up & doors close
ββTechnology & Venture Partners
ββRedis
βAbout Cognee
ββCognee 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.
ββAbout Pebblebed
βββPebblebed 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)