ZeroDB for Game Developers (GDC Edition)
Building AI-Native Game Worlds
Modern games are no longer just software—they’re living systems.
Players expect persistent worlds, intelligent NPCs, evolving economies, and gameplay that reacts to their actions. But building this kind of experience usually requires stitching together a massive backend stack: player databases, telemetry pipelines, AI infrastructure, asset storage, analytics systems, and live ops tooling.
ZeroDB replaces that entire backend with a single AI-native platform built for real-time systems like games.
In this workshop, we’ll explore how game developers can use ZeroDB to build AI-native game worlds—where player actions, NPC behavior, and game systems continuously learn and evolve.
What You’ll Build
During the session we’ll design and prototype systems that power the next generation of games:
Persistent NPC Memory
NPCs that remember player interactions, past events, and world history.
Player Intelligence Systems
Store gameplay behavior and build systems that adapt to how players actually play.
AI-Driven Dialogue & Lore
Use vector search and embeddings to power dynamic dialogue and lore systems.
Emergent Gameplay Events
Capture gameplay telemetry and trigger live world events in response to player behavior.
Procedural Content & AI Systems
Use stored player feedback and RLHF data to improve AI behaviors over time.
Player-Generated Worlds
Store assets, content, and player creations directly inside the platform.
Why This Matters
The biggest games today are evolving toward persistent AI-powered worlds.
Players want:
• NPCs that remember them
• worlds that evolve over time
• dynamic quests and stories
• player-driven economies
• gameplay systems that learn
But implementing this usually requires 10+ backend services and significant infrastructure complexity.
ZeroDB simplifies that into one unified AI-native platform.
What You’ll Learn
We’ll walk through how to build game systems using ZeroDB’s integrated capabilities:
• relational + document storage for player data
• free auto-embeddings for semantic game systems
• vector search for dialogue, lore, and knowledge
• event streams for gameplay telemetry
• persistent AI memory for NPCs and agents
• RLHF capture to train smarter game AI
• S3-compatible storage for assets and content
• scalable Postgres infrastructure for game services
We’ll also cover architecture patterns used in modern games:
• player state and progression systems
• guild faction team data models
• live ops telemetry pipelines
• AI-powered NPC agents
• persistent world simulation systems
The Outcome
By the end of this workshop, you’ll have a blueprint for building AI-native game backends capable of powering:
• persistent multiplayer worlds
• AI-driven NPC ecosystems
• player-adaptive gameplay systems
• dynamic game economies
• next-generation live ops
Come prepared to design, experiment, and build.
This is where game development meets AI-native infrastructure.