Graphs Gone Wild
An experimental builder event for developers, researchers, and AI practitioners interested in creating practical prototypes with AI agents, knowledge graphs, and emerging AI tools.
Graphs Gone Wild brings together Berlin's AI and developer community to explore new approaches to intelligent agents, connected knowledge systems, and AI-powered workflows. In a hands-on hackathon format, participants collaborate to build working prototypes and experimental applications within a single afternoon and evening.
The event focuses on AI Agents, Knowledge Graphs, Agent Memory, Retrieval-Augmented Generation (RAG), Multi-Agent Systems, MCP Workflows, and Document Intelligence. Participants are free to use their preferred tools, models, datasets, and development environments while experimenting with modern AI technologies. Technical introductions, networking opportunities, and demo sessions are included throughout the programme.
The event is designed for builders who enjoy exploring emerging AI capabilities and developing new ideas in a collaborative environment. No previous experience with Neo4j is required.
Audience: AI engineers, software developers, researchers, founders, product teams, designers, and anyone building with AI agents and modern AI workflows.
- Date: October 23, 2026
- Time: 3:00 PM–8:30 PM
- Location: CODE University of Applied Sciences, Donaustraße 44, 12043 Berlin, Germany
- Organizer: Global AI Berlin
- Admission: Free with registration
- Audience: Developers, researchers, founders, product teams, and AI practitioners
- Focus: AI Agents, Knowledge Graphs, Agent Memory, RAG, MCP, Document Intelligence, and Prototyping