ChatGPT_Agent
Basic Information
This repository is a playable game demo that uses ChatGPT-powered agents to drive NPC dialogue and behavior. It provides a small React application and backend services that connect to the OpenAI API so non-player characters can converse with the player. The README explains how to supply an OpenAI API key via a local .apikeys.ts file, install dependencies with yarn, and run the app on localhost:3000. The project exposes data and code locations for changing the map, NPC personalities, and NPC actions so the story and agent behavior can be customized. The project is presented as a developer-facing demo to experiment with conversational agents inside a simple game environment.
Links
Stars
269
Language
Github Repository
App Details
Features
Interactive browser game demo with NPCs driven by ChatGPT-style agents. Clear local setup instructions requiring an OpenAI API key and the creation of a .apikeys.ts file. Frontend React app with development scripts including yarn start, yarn test, yarn build, and optional yarn eject. Editable data and code points for customization: src/backend/data/locationData.ts for maps, src/backend/data/npcs/NpcData.ts for NPC personalities, and src/backend/services/ConversationService.ts for NPC actions and prompts. Live reload during development and console lint reporting. Control hint: press q when near an NPC to start a conversation. Credit to an external framework contributor for the base design.
Use Cases
The repository is helpful as a hands-on example for developers who want to integrate conversational AI into game characters. It provides a working pipeline from a local React app to the OpenAI API so you can test and iterate on NPC conversations quickly. The exposed data files and service layer make it straightforward to change story backgrounds, tweak character personalities, and modify action prompts without rebuilding core systems. Development scripts let you run, test, and build the app for deployment. Overall it serves as a practical starting point for prototyping agent-driven NPCs and learning how to route prompts and responses in a game-like environment.
-
$$$$ -
$$$$