Give Your Slack a Memory: A Cognee and Qdrant Hack Night

Your team's knowledge is buried in Slack threads nobody can find again. Cognee and Qdrant are teaming up for an evening of building. We'll show you how to build a memory and retrieval system on top of your Slack workspace. The system ingests conversations, detects patterns and turns them into agentic SKILLs. Each SKILL retrieves the most relevant context for your task and builds structured memory on top of your unstructured data. What you'll build Working in small teams (or solo, if you prefer), you'll wire up Cognee's memory engine with Qdrant's vector search to give a Slack workspace real recall. By the end of the night you will: Ingest messages and threads from a Slack export or live workspaceStructure that history into queryable memoryAnswer questions a plain keyword search never could Show us what you got You will have 2 minutes to present a demo in which you: Present your idea - Explain what memory problem you solved and how you used Cognee and Qdrant to do itRun a live demo - Show your build in action, solving something a plain search or a stateless bot couldn't 🏆 1,200€ Cash Pool Main Prizes: 🥇 Prize: 600€ cash 🥈 Prize: 400€ cash 🥉 Prize: 200€ cash Plus amazing swag from both Qdrant and Cognee for all the participants. Schedule 17:00 PM - Doors open + Networking17:30 PM - Opening remarks + Cognee cloud infrastructure demo18:00 PM - Hacking begins21:00 PM - Project Submission Deadline – finalist selection21:15 PM - Finalist presentations & judging21:45 PM - Awards ceremony22:00 PM - Event wrap-up & doors close Bring a laptop. We'll have API keys, sample datasets, and people from both teams on hand to help you get unstuck. Limited spots available. Can't make it? Please cancel your RSVP so we can offer your place to someone else. Photos will be taken throughout the event and may be used by Cognee afterward. About Qdrant: Qdrant is an open-source vector search engine built to handle high-dimensional data at scale. It powers the retrieval layer behind some of the most demanding AI applications in production today, from RAG pipelines to recommendation systems to AI agents, giving developers fast, accurate similarity search wherever it's needed. 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 and infrastructure, making it possible to build reliable, adaptive, and stateful AI systems that operate seamlessly across cloud and local environments.