Automatically handle fishing, from casting to selling caught fish.
Run the in-game cafe by making coffee and collecting revenue automatically.
Skip story dialogue and cutscenes, and auto-claim daily login rewards.
| yapeth/maante | sinotrade/shioaji-pro-app | ufuknode/noustiny | |
|---|---|---|---|
| Stars | 157 | 157 | 157 |
| Language | TypeScript | TypeScript | TypeScript |
| Setup difficulty | easy | hard | moderate |
| Complexity | 3/5 | 4/5 | 3/5 |
| Audience | general | developer | vibe coder |
Figures from each repo's GitHub metadata at analysis time.
Must be run as administrator, README warns that using automation software may violate the game's terms of service.
MaaNTE is a Windows automation assistant for the game Neverness to Everness, built on top of a framework called MAAFramework. The project automates repetitive daily tasks inside the game so players do not have to perform them manually. The automation works through image recognition: the tool watches the screen, identifies what is happening in the game at any given moment, and then simulates mouse and keyboard inputs to carry out actions. The README states it does not modify game files or inject code into the game's memory, and describes it as operating strictly through visual input and simulated user actions. The features it automates include fishing (buying bait, casting, catching, and selling fish automatically), managing a cafe within the game (making coffee and collecting revenue), skipping story dialogue and cutscenes, and claiming daily login rewards and tasks. You run the tool as administrator, select which automation profile you want (fishing, cafe, or dialogue skip), and start it. The README describes the project as open-source, free, and intended for personal and educational use. The disclaimer notes it is an unofficial third-party tool, not affiliated with the game's developers Hotta Studio or Perfect World Games. It also notes that using automation software may violate the game's terms of service and that use is at the user's own risk. Installation is straightforward: download the release archive, extract it, launch the game at the recommended screen resolution, and run the MaaNTE executable.
A Windows automation assistant that uses image recognition to auto-play repetitive daily tasks in the game Neverness to Everness.
Mainly TypeScript. The stack also includes TypeScript, MAAFramework, Windows.
Setup difficulty is rated easy, with roughly 30min to a first successful run.
Mainly general.
This repo across BitVibe Labs
Verify against the repo before relying on details.