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GDG Berlin is supporting Global AI Berlin as a community partner to amplify this event.

This edition of Global AI Berlin focuses on one of the most critical building blocks of modern AI systems: AI Memory and its role in shaping intelligent applications.

You’ll hear from founders, product leaders, and engineers on how memory is designed, structured, and operationalized in real-world AI and agentic systems—covering practical approaches to building memory-enabled applications at production scale.

Topics include: graph-based context, retrieval layers, user interaction history, system architecture, performance considerations, and governance—plus lessons learned and trade-offs when moving from prototypes to reliable, memory-driven products.

Who should attend: developers, technical founders, product managers, architects, and teams interested in using AI memory to improve application intelligence, user experience, and product differentiation.

Speakers / agenda

• Abdel Sghiouar (Developer Advocate, Google) — Taming Agentic AI: How to Run Rogue Code Safely on Kubernetes (Google)

• Louis Buys (CEO, Delta Campus) — Incubating the Next Generation of Developers and Startup Founders

• Andreas Kollegger (GenAI Lead, Neo4j) — Context Graphs for Agents – What, How, and Why to Act

• Vasilije Markovic (Founder, Cognee) — Building Memory for AI Agents

• Elizaveta Zinovyeva (Applied Scientist, AWS) — Analyze codebase with multi-agent systems built on Strands Agents, Amazon Bedrock AgentCore (AWS)

• Christian Kniep (Agentic Thinker, MemVerge) — MemMachine: Agents That Learn, Memory That Lasts

• Christian Glessner & Luise Freese (Microsoft MVP) — Building AI Agents with Microsoft Foundry (Microsoft)

• Sujay Joshy (AI Engineer and strategist, Riverty) — Graph-Native Memory for Code Understanding at Scale (Riverty)