AI agents are only as good as the information they can find, retrieve, and remember. In this community roundtable with the Qdrant team, we explored the latest advances in agentic memory, vector search, retrieval systems, and production AI architectures. As AI agents move beyond simple chatbots into systems that can reason across large amounts of information, retrieval is becoming one of the most important layers in the AI stack. The discussion covered the real-world challenges of building agents that remember what matters, forget what doesn't, and consistently retrieve the right context at the right time. If you're building AI agents, RAG systems, or production AI applications, this conversation offers practical insights into where retrieval is headed and what it takes to build reliable, scalable agentic systems.

Kingsley Madikaegbu is the founder of HealID, a startup building agentic AI on top of the Model Context Protocol (MCP) for one of the most heavily regulated environments there is: healthcare. Recorded at MCP Dev Summit North America in New York, Kingsley sits down with Alex Salkever of the Agentic AI Foundation to break down how you give patients, doctors, caregivers, and family members each their own agent over the same medical record — without breaching HIPAA, leaking PHI, or letting an agent quietly go off the rails.

This article captures a personal shift in the engineering and founder mindset, charting the transition from writing code line-by-line to orchestrating a specialized "Council of Agents." Drawing from recent hackathon experiences and real-world deployment at ApertureData, it explores how accessible, multimodal tools allow builders to spin up sophisticated systems in hours rather than months. Ultimately, the piece argues that AI doesn't let leaders "tune out" the technical realities or enter an automated hands-off mode. Instead, it elevates the human developer’s role to focus on deep architectural intent, system integration, and production readiness, making agents the next logical evolution in engineering leverage.