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 create a memory and retrieval system on top of your Slack workspace. This 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 your Slack workspace real recall. By the end of the night, you will:

• Ingest messages and threads from a Slack export or live workspace
• Structure that history into queryable memory
• Answer 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 it
• Run 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 participants.

Schedule

• 17:00 PM - Doors open + Networking
• 17:30 PM - Opening remarks + Cognee cloud infrastructure demo
• 18:00 PM - Hacking begins
• 21:00 PM - Project Submission Deadline – finalist selection
• 21:15 PM - Finalist presentations & judging
• 21:45 PM - Awards ceremony
• 22:00 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.