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Cultivation World Simulator

Cultivation World Simulator is a cultivation-fantasy world simulator in which AI-driven characters act within a rules-based setting. The player observes the world as its “Heavenly Dao” and can intervene in its development.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Cultivation World Simulator — OpenViST project profile in Workflow Agents.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you want to watch or influence a cultivation-world simulation whose character decisions and stories emerge from AI agents operating within setting rules.

Who it is for

  • Players who want to observe an evolving xianxia world and influence its events.
  • Developers interested in running or modifying a Python-based AI-assisted simulation.

Documented uses

  • Observe cultivators, sects and events as the simulated world evolves.
  • Intervene in the world by triggering a tribulation or changing a character’s mindset.
  • Run the project in development mode after installing its backend and frontend dependencies and configuring a model preset.
Before you choose

Requirements & limits

The project README links to a desktop edition on the Epic Games Store and describes it as free. For source or Docker use, the README says to configure a model preset before starting a new game.

  • Source development requires Python 3.10+, Node.js 18+ and an available model service.
  • The README names DeepSeek, MiniMax and Ollama as model preset examples.
  • The documented Docker deployment is explicitly marked untested.
  • The README says its mobile interface is not fully adapted.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up the source project in development mode

Start the project’s development services and reach its frontend setup stage.

Before you start

  • Python 3.10 or later
  • Node.js 18 or later
  • An available model service

Steps

  1. Install backend dependencies with the command below.

    Documented command
    pip install -r requirements.txt

  2. Install frontend dependencies by running cd web && npm install && cd ...

  3. Start development mode with the command below.

    Documented command
    python src/server/main.py --dev

  4. Open the frontend address shown in the startup log; the README says it is usually http://localhost:5173.

  5. In the frontend settings page, choose a model preset such as DeepSeek, MiniMax or Ollama before starting a new game.

Expected outcome

The development frontend is available and the model preset is configured for beginning a new game.

Guide limitations

  • The frontend address is described as usually, not invariably, localhost:5173; use the address printed in the startup log.
  • The guide describes the documented setup process, not an independently verified run.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
15 October 2026
Original website title
4thfever/cultivation-world-simulator · Official homepage title · retained in its source language
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