I made Warrior Quest, a local LLM-powered dark-fantasy RPG where the model only plays NPCs and the actual game state stays deterministic
Summary
Warrior Quest is a local LLM-powered dark-fantasy RPG demo on Steam where the AI model is used only for NPC emulation while the game state remains deterministic, requiring a GPU with 8GB VRAM.
Similar Articles
I released a local LLM-powered RPG where generated NPCs, locations, items, and quests persist as in-game objects
A developer released a local LLM-powered RPG where procedurally generated NPCs, locations, items, and quests persist as in-game objects, showcasing a novel integration of generative AI into gaming.
Open Dungeon: local roleplay with Gemma 4 QAT + inline Uncen-FLUX images, running at full 256K context under 8GB RAM (OS)
An open-source local AI dungeon app using Gemma 4 and FLUX for text and image generation, fully private and runs under 8GB RAM.
Qwen3.6 35b Q2_XXS: Being GPU poor in 2026 is not so bad
Demonstrates running the quantized Qwen3.6-35B model on a low-end laptop to create a Zelda-like RPG in 24 minutes, showing that GPU-poor scenarios are manageable in 2026.
NPC Engine Using Local Models
An engine for creating NPCs using local AI models, enabling offline and private character interactions.
Made this game in two prompts with Q4, Qwen 3.8 is amazing
A user created a simple game with just two prompts using the Qwen 3.8 AI model in Q4 quantization on llama.cpp with dual RTX 3060 GPUs, demonstrating impressive AI-assisted coding despite RAM limitations.