# YGYOOO/WorldX

One sentence creates an AI-driven world — generate maps, characters, and watch stories emerge on their own. 一句话生成一个AI自主驱动的世界.

Repository: https://github.com/YGYOOO/WorldX
Canonical: https://ross.abutalabs.com/products/worldx
Language: TypeScript
License: MIT
License Family: permissive
Topics: agent, ai, ai-agents, ai-characters, ai-simulation, ai-world, emergent-behavior, game-ai, generative-agents, generative-ai, llm, llm-agents, multi-agent-simulation, open-source, phaser, pixel-art, typescript
Last push: 2026-07-08T07:48:52+00:00

## Health v2 (maintenance only)
Score: 55/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 91, release rhythm 35, longevity 9
- inputs: {"age_days": 137, "days_push": 56, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1384, forks 228 (observed 2026-08-28T04:04:34.671032+00:00)

## What it is
WorldX is an open-source web application that generates an AI-driven virtual world from a single sentence, creating maps, pixel-art characters, and letting LLM-powered agents live autonomously with memory, personality, and emergent storytelling. Built with TypeScript, React, and Phaser 3, it includes a 'god mode' for intervening in the simulation via events, memory edits, and conversations with characters.

## Use cases
- generate an AI-driven world from one sentence
- simulate autonomous AI characters with memory and personality
- watch emergent stories unfold in a multi-agent simulation
- play god by injecting events into an AI world
- chat with AI characters in a generated setting
- build a generative agents sandbox like Smallville
- create pixel-art worlds with procedurally generated maps and NPCs

## When to choose
- you want an open-source generative-agents simulation you can run and modify
- you want to experiment with emergent narrative from LLM agents
- you want a visual pixel-art world rather than a text-only simulation
- you want to intervene in or converse with simulated characters

## When to avoid
- you need a production-ready or stable system (project is Alpha)
- you want a traditional game with defined goals rather than an open-ended simulation
- you cannot provide LLM API keys or want fully offline operation
- you need high-performance simulation of very large agent populations

## Facets
- artifact type: application
- maturity: experimental
- function: agent-framework, llm-inference, simulation, game-engine, chatbot
- domain: artificial-intelligence, large-language-models, simulation, gaming-tools
- platform: cross-platform
- tags: generative-agents, emergent-narrative, multi-agent-simulation, procedural-generation, pixel-art, phaser, god-mode, ai-world-simulation, ai-agents, game-development, nodejs, web-server, typescript

## Member repositories
- YGYOOO/WorldX (main) score 55

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:34.671032+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:39:58.495612+00:00, confidence not recorded.
  - readme: https://github.com/YGYOOO/WorldX (fetched 2026-08-28T04:04:34.671032+00:00, sha 0edcbae484db)
- Data as of 2026-08-30T08:39:29.467469+00:00.