# 1bananachicken/MaaNTE

MaaNTE. Nevertheless to Everless automatic assistant 异环小助手

Repository: https://github.com/1bananachicken/MaaNTE
Canonical: https://ross.abutalabs.com/products/maante
Homepage: https://maante.org
Language: Python
License: AGPL-3.0
License Family: copyleft
Topics: maaframework, neverness-to-everness, neverness-to-everness-software, nte, computer-vision
Last push: 2026-08-26T08:16:13+00:00

## Health v2 (maintenance only)
Score: 81/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 99, longevity 9
- inputs: {"age_days": 129, "days_push": 7, "days_rel": 11, "gap_med": 6.5, "n_releases_24m": 13}
- flags: young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2730, forks 199 (observed 2026-08-28T04:07:16.011843+00:00)

## What it is
MaaNTE is an open-source automatic assistant for the game Neverness to Everness (NTE), built on MaaFramework. It recognizes the game screen and simulates normal interactions to automate repetitive gameplay tasks without modifying game files.

## Use cases
- automate daily tasks in Neverness to Everness
- run an in-game assistant that plays repetitive parts of NTE for me
- use computer vision to control a game without touching game files
- automate grinding in NTE on Windows
- set up a MaaFramework-based assistant for NTE

## When to choose
- you play Neverness to Everness on Windows and want to automate repetitive in-game actions
- you want an open-source, MaaFramework-based game assistant
- you want a tool that only reads the screen and simulates input without modifying game data

## When to avoid
- you need automation for a different game
- you are unwilling to accept the risk of violating the game's fair-play policy
- you need a fully mature, feature-complete tool - the project is in early development

## Facets
- artifact type: application
- maturity: experimental
- function: computer-vision, workflow-automation, gui
- domain: gaming-tools, computer-vision
- platform: windows, python
- tags: game-automation, maaframework, neverness-to-everness, assistant, image-recognition, automation

## Member repositories
- 1bananachicken/MaaNTE (main) score 81

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:16.011843+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:14:40.553766+00:00, confidence not recorded.
  - readme: https://github.com/1bananachicken/MaaNTE (fetched 2026-08-28T04:07:16.011843+00:00, sha fde922c834c9)
  - homepage: https://maante.org (fetched 2026-08-29T09:57:58.820642+00:00, sha a5998a5a5897)
- Data as of 2026-08-30T08:39:29.467469+00:00.