Graph Database - DACH (Germany, Austria, Switzerland )

Register: https://www.meetup.com/openvaluemuenchen/events/311532124/

This time, we’re hosting a special event for Neo4j enthusiasts. Zaid Zaim, Microsoft MVP and TED speaker, will give an interesting talk where he will explain how to use Neo4j knowledge graphs as a powerful memory layer for your AI agents.

🎤 Talk:

"Plug-and-Play AI Memory with Neo4j Knowledge Graphs & AI Agents" by Zaid Zaim (Developer Advocate at Neo4j)
AI agents are becoming core to modern applications, from copilots that assist knowledge workers to autonomous systems that manage complex workflows. Yet one major challenge remains: memory. Without it, agents lose context, forget past interactions, and often hallucinate—undermining trust and reliability. In this session, you’ll learn how to use a plug-and-play Neo4j knowledge graph as a powerful memory layer for your AI agents. Knowledge graphs capture not just facts, but relationships, allowing your agent to build a living model of conversations, decisions, and data over time. Combined with modern AI services, this approach helps ground responses, reduce hallucinations, and create a feedback loop where agents become more adaptive, contextual, and trustworthy. Through a live demo, we’ll show how to connect graph-powered memory into your AI workflows with minimal setup, so you can build copilots and agentic applications that don’t just respond in the moment—but remember, learn, and evolve with your users.

Register: https://www.meetup.com/vienna-data-science-group-meetup/events/311956864/

Dear Data Enthusiasts,
Join us this time at Medical University of Vienna on the 27th of November to dive deeper in the world of Graphs and AI Agents and AI to advance Energy innovation.

Plug-and-Play AI Memory with Neo4j Knowledge Graphs & AI Agents
AI agents are becoming core to modern applications, from copilots that assist knowledge workers to autonomous systems that manage complex workflows. Yet one major challenge remains: memory. Without it, agents lose context, forget past interactions, and often hallucinate - undermining trust and reliability. In this session, you’ll learn how to use a plug-and-play Neo4j knowledge graph as a powerful memory layer for your AI agents. Knowledge graphs capture not just facts, but relationships, allowing your agent to build a living model of conversations, decisions, and data over time. Combined with modern AI services, this approach helps ground responses, reduce hallucinations, and create a feedback loop where agents become more adaptive, contextual, and trustworthy. Through a live demo, we’ll show how to connect graph-powered memory into your AI workflows with minimal setup, so you can build copilots and agentic applications that don’t just respond in the moment, but remember, learn, and evolve with your users.

Register: Global Agentic Night Berlin: Exploring the Future of AI Agents | Global AI Berlin - Global AI Community

Global Agentic Nights are community-driven evenings by the Global AI Community, uniting developers, researchers, and innovators exploring the next wave of autonomous AI systems.
Building on the legacy of Global AI Nights, this Berlin edition dives into how agentic AI—systems that can reason, learn, and act—are reshaping industries and research.
Expect short, insightful talks, hands-on showcases, and a welcoming space for meaningful exchange and collaboration among the Berlin AI community.