GH Repository · 4thfever
cultivation-world-simulator
基于 AI Agent 工作流的修仙世界模拟器，旨在还原智能、开放的仙侠世界。| An open-source Cultivation World Simulator using Agentic Workflow to create a dynamic, emerging Xianxia world.
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agent-appPythoncultivation-gameprocedural-generationautonomous-agentsai-nativesimulatoraiworld-simulationgameagentic-workflowopen-sourcesimulationdockerai-agentscultivationsimulation-gameprompt-engineeringllmpythontext-based-game
An open-source text-based cultivation (Xianxia) world simulator built on AI agent workflows, written in Python. It uses autonomous agents and procedural generation to produce a dynamic, emerging world rather than a fixed script.
Reach for it when you want to experiment with agentic world simulation in a genre setting or study how LLM agents drive an emergent text game.
Use it to
- Run a text-based cultivation world simulation
- Experiment with agentic workflow design
- Study prompt engineering for autonomous agents
- Prototype procedural world generation with LLMs
- Extend an open-source agent game in Python
For Python developers exploring agentic workflows and simulation games
- Role
- agent-app
- Language
- Python
- Licence
- custom (licence file present)
- Forks
- 235
- Open issues
- 1
- Last push
- 2026-08-16
- Latest release
- v1.0.1 · 2025-11-01
topicsagentic-workflowsimulationllmtext-based-gameprocedural-generationpython