Build a Company Brain: AI Agents with Memory, Context and Secure Access

Join Scalekit and Cognee for a hackathon to build a Company Brain: an AI system that can understand your company’s knowledge, connect information across workplace tools, remember context over time, and securely help different people get work done. Most companies have their knowledge scattered across documents, Slack conversations, code, tickets, CRM systems, and other business applications. The challenge is not simply giving an AI agent access to these tools, but giving the agent a persistent understanding of the company, while ensuring every user sees and acts on the information they’re authorized to access. We want to see projects that reflect how teams actually work: across documents, collaboration tools, engineering systems, and business apps. Move beyond lightweight single-app demos. Your challenge is to build a Company Brain use case that brings these pieces together. Create an AI agent or workflow that can: - combine information from several systems of record - build a unified understanding of company knowledge from multiple sources - use multiple connectors, not just one app - solve a multi-user or team workflow - make thoughtful use of memory, context, and retrieval - show how secure user-level access and authorization shape the experience - help teams retrieve knowledge, coordinate work, or take action Potential sources may include tools like Google Drive, Notion, GitHub, Slack, and other workplace apps. Scalekit brings the secure access and authorization layer that lets agents act on behalf of users across SaaS tools and internal systems. Cognee brings the memory layer that helps agents store, retrieve, and build on a company brain with context over time. Together, they enable a new kind of AI experience: a Company Brain that can securely understand, remember, reason and act across the organization. The goal: Build something that makes us think: “This is what it would look like if a company had a brain” Expect an afternoon of building, feedback,…

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