# MaaEnd/MaaEnd

MaaEnd 终末地小助手：基于视觉 AI 的「明日方舟：终末地」自动化工具

Repository: https://github.com/MaaEnd/MaaEnd
Canonical: https://ross.abutalabs.com/products/maaend
Homepage: https://maaend.com
Language: C++
License: AGPL-3.0
License Family: copyleft
Last push: 2026-08-26T16:52:30+00:00

## Health v2 (maintenance only)
Score: 95/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 86, longevity 100
- inputs: {"age_days": 1629, "days_push": 7, "days_rel": 12, "gap_med": 0, "n_releases_24m": 122}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3712, forks 313 (observed 2026-08-28T04:08:15.235698+00:00)

## What it is
MaaEnd is a vision-AI-powered automation assistant for the game 'Arknights: Endfield', built on MaaFramework. It captures the screen, recognizes game state, and performs human-like input actions to automate dailies, combat, farming, trading, and puzzle-solving without touching game memory.

## Use cases
- automate daily tasks in Arknights Endfield
- auto-farm materials and sanity in Endfield
- solve in-game puzzles automatically
- auto-play combat with dodges and skills
- automate resource farming and trading routes
- run game automation on PC and Android via ADB

## When to choose
- you play Arknights: Endfield and want to automate repetitive gameplay
- you need a non-invasive, screen-recognition-based game assistant
- you want cross-platform support for PC (Win32) and Android (ADB)

## When to avoid
- you need automation for a different game
- you want a memory-injection or cheat-based tool
- you need a general-purpose scripting framework rather than a ready-made app

## Facets
- artifact type: application
- maturity: active
- function: computer-vision, ocr, workflow-automation, gui, image-processing
- domain: gaming-tools, computer-vision, artificial-intelligence
- platform: windows, cross-platform
- tags: game-automation, maaframework, arknights-endfield, vision-ai, adb, macro, gacha-games, automation, android, desktop

## Member repositories
- MaaEnd/MaaEnd (main) score 95

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:15.235698+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 2026-08-29T18:30:53.856842+00:00, confidence not recorded.
  - readme: https://github.com/MaaEnd/MaaEnd (fetched 2026-08-28T04:08:15.235698+00:00, sha c37133b25b52)
  - homepage: https://maaend.com (fetched 2026-08-29T09:24:18.778804+00:00, sha 0ba71828cf7e)
- Data as of 2026-08-30T08:39:29.467469+00:00.