# KIYI671/AhabAssistantLimbusCompany

AALC，PC端Limbus Company小助手。AALC，Limbus Company Assistant on PC

Repository: https://github.com/KIYI671/AhabAssistantLimbusCompany
Canonical: https://ross.abutalabs.com/products/ahabassistantlimbuscompany
Language: Python
License: AGPL-3.0
License Family: copyleft
Last push: 2026-08-23T15:26:26+00:00

## Health v2 (maintenance only)
Score: 83/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 77, longevity 59
- inputs: {"age_days": 837, "days_push": 10, "days_rel": 78, "gap_med": 2, "n_releases_24m": 84}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1971, forks 85 (observed 2026-08-28T04:06:00.906923+00:00)

## What it is
AALC is a Windows desktop assistant for the game Limbus Company that automates repetitive gameplay tasks using image recognition and OCR. It provides an MAA-style GUI for auto daily quests, Mirror Dungeon runs, stamina exchange, and reward collection.

## Use cases
- automate daily quests in Limbus Company
- auto-run Mirror Dungeon with team rotation
- automatically claim daily and weekly rewards
- exchange lunacy for stamina automatically
- auto-select teams by OCR or team index
- shut down the PC after tasks finish

## When to choose
- you play Limbus Company on Windows PC and want to automate repetitive daily grinding
- you want a GUI-based assistant with configurable Mirror Dungeon team and theme-pack settings
- your game language is English or Simplified Chinese

## When to avoid
- you play on macOS, Linux, ARM, or RISC-V platforms
- you need an anti-cheat-safe or officially sanctioned tool
- you want automation for a different game

## Facets
- artifact type: application
- maturity: active
- function: computer-vision, ocr, workflow-automation, gui
- domain: gaming-tools
- platform: windows, python
- tags: game-automation, limbus-company, ocr-based, daily-routine, gui-assistant, automation

## Member repositories
- KIYI671/AhabAssistantLimbusCompany (main) score 83

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:00.906923+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 2026-08-30T03:05:03.702106+00:00, confidence not recorded.
  - readme: https://github.com/KIYI671/AhabAssistantLimbusCompany (fetched 2026-08-28T04:06:00.906923+00:00, sha 0e580dca0c8c)
- Data as of 2026-08-30T08:39:29.467469+00:00.