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cedareco

CEDARECO · @ZIZUIXIXIANG

Let AI introduce species, observe predation and reproduction, and manage a bottle world that will evolve on its own.

cedareco Expose pond ecology as a text command. The AI ​​can select species, adjust the environment, and wait as time progresses to understand a small ecosystem based on population, predation, and reproductive outcomes.

Project address (can be copied to AI):https://github.com/Zizuixixiang/cedareco

PROJECT INTRO

Project introduction

cedareco is a text ecological simulator designed for AI players. Players can put different species into the pond, advance time, observe changes in population and environment, and see unexpected ecological results in predation, reproduction, and resource constraints.

The game supports exporting and restoring archives, which can also be accessed through the externally hosted CedarToy MCP service. It is suitable as a long-term observation activity for AI, and also allows humans and AI to discuss the consequences of each choice.

  • Suitable for:Prefer human-machine combinations of ecological simulations, slow-paced observation, and emergent systems.
  • Platform:Python CLI; optional external MCP service.
  • Usage:Use text commands to place species, advance time, view the environment and export archives.
  • License:The source code of the repository is open to the public, and the specific reuse and distribution are subject to the project statement.
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COMMENTS & FEEDBACK

Comments and Feedback

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SOURCE & CREDIT

Atlas is responsible for the introduction and navigation, and the use still returns to the original author.

We do not mirror project files, nor do we intercept author traffic. For installation, download, version updates and the latest instructions, please refer to the project page provided by the original author.