Creating a Neo4j Agentic Memory Multi-User Dungeon

The article explores the evolution and development of text-based adventure games, particularly focusing on Multi-User Dungeons (MUDs) and the novel concept of Agentic Dungeons. It discusses using GenAI to enhance text-based games by solving challenges related to command parsing and dynamic world-building, which traditional models struggle with due to limited context windows. The proposed solution involves utilizing agentic memory with Neo4j graph databases to store game environments and NPC interactions, ensuring consistency when players revisit areas. The article provides a detailed overview of implementing a game set in a haunted castle using Neo4j and Java, highlighting the use of Cypher for game mechanics and the Embabel Java/Kotlin framework for agent management. Additionally, it offers insights into enhancing gameplay with AI-driven dynamic storytelling, multi-player capabilities, and potential future improvements like multi-floor castles and interactive NPCs.

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