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jamespetts/monsterbreeder

Analysis updated 2026-05-18

1Audience · generalComplexity · 2/5LicenseSetup · easy

TLDR

A browser game where you breed a genetically simulated monster population across seasons to defend treasure from raiding adventurers.

Mindmap

mindmap
  root((Monster Breeder))
    What it does
      Breed monster population
      Defend treasure
      Seasonal management and raids
    Genetics
      Inherited traits
      Mutation and crossover
      Wild gene capture
    Game modes
      Tutorial
      Campaign
      Custom game
    Tech stack
      Single HTML file
      Web Worker simulation
      No build step
    Saving
      Local browser storage
      JSON monster export
    Audience
      Strategy game players
      Simulation fans

Code map

Detail Auto

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filefunction / class

What do people build with it?

USE CASE 1

Play a strategy game about breeding monsters with realistic genetic inheritance

USE CASE 2

Run a persistent campaign or a fully custom world with your own seed and map size

USE CASE 3

Export individual bred monsters as JSON files to transfer between games or back up

USE CASE 4

Study the single-file, Web Worker based architecture as an example of a self-contained browser game

What is it built with?

HTMLJavaScriptWeb Worker

How does it compare?

jamespetts/monsterbreeder0xkinno/neuralvault0xlocker/d17-contracts
Stars111
LanguageTypeScriptSolidity
Setup difficultyeasyhardhard
Complexity2/54/55/5
Audiencegeneraldeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

Open index.html directly, or run a local web server like Python's http.server if the browser blocks some features.

Licensed under GPL-3.0, so copies and modified versions can be freely used and shared but must also stay open source under the same license.

In plain English

Monster Breeder is a browser based strategy and simulation game built around one continuously interbreeding population of monsters that you raise to defend a kingdom's treasure. Each season alternates between two phases: a management phase where you inspect your monsters, choose which ones to breed together, allocate food, review injuries and family history, and decide who to deploy, and a raid phase where monsters, adventurers, and wildlife act on their own across a procedurally generated map while you capture, recall, or release monsters as needed. The core idea is that monsters are not fixed collectible species. Instead, every monster's colour, metabolism, body shape, behaviour, senses, and reproduction come from a genetic simulation with inheritance, mutation, dominant and codominant traits, and crossover between parents. Breeding choices shape both the individual offspring and the long-term health of the whole population. The game also tracks nutrition, fat reserves, injuries, disease, fatigue, and heat stress over time, and the terrain, climate, and biomes are procedurally generated for each world. There are several ways to play: a guided tutorial, a persistent 25 round campaign, a 20 round advanced campaign with extra setup options, a quick standalone game, and a fully custom game where you choose the seed, map size, biome, and starting treasure. The interface supports both mouse and touch, with keyboard shortcuts for actions like capturing or releasing monsters, pausing, fast forwarding, and opening the scoreboard. Technically, the whole game lives in a single main HTML file with the simulation running inside a Web Worker, so the browser's main thread only handles rendering and input. You can run it by simply opening index.html in a modern browser, or by serving the folder over a local web server, for example with Python's built in HTTP server, if the browser blocks certain features when opening the file directly. No build step is needed. Saved games and leaderboards live in the browser locally, and individual monsters can be exported and imported as JSON files to move them between games or keep long term backups. The project is under active development, so features, balance, and save compatibility may still change, and the author asks that backups be kept before updating. The code is licensed under GPL-3.0-only, and contributions such as bug reports and focused pull requests are welcome.

Copy-paste prompts

Prompt 1
Explain how the genetic inheritance system in Monster Breeder likely works, based on its README
Prompt 2
Walk me through how to run Monster Breeder locally using Python's http.server
Prompt 3
Help me understand the difference between the Campaign, Advanced Campaign, and Custom Game modes
Prompt 4
Summarize the keyboard shortcuts and controls for playing Monster Breeder
Prompt 5
Explain what GPL-3.0-only means for using or modifying this game's code

Frequently asked questions

What is monsterbreeder?

A browser game where you breed a genetically simulated monster population across seasons to defend treasure from raiding adventurers.

What license does monsterbreeder use?

Licensed under GPL-3.0, so copies and modified versions can be freely used and shared but must also stay open source under the same license.

How hard is monsterbreeder to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is monsterbreeder for?

Mainly general.

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