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. observed · 2026-08-28
Health v2 · maintenance only
55/100
- Activity 91
- Release rhythm 35
- Longevity 9
Flags: no_releases young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 137
- days_rel: n/a
- days_push: 56
- n_releases_24m: 0
Adoption not part of the score
1384 stars · 228 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
application · maturity experimental
agent-framework llm-inference simulation game-engine chatbot artificial-intelligence large-language-models simulation gaming-tools cross-platform 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
1 source
- readme: https://github.com/YGYOOO/WorldX · fetched 2026-08-28 · 0edcbae484db
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| YGYOOO/WorldX | main | 55 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem