# nneonneo/2048-ai

AI for the 2048 game

Repository: https://github.com/nneonneo/2048-ai
Canonical: https://ross.abutalabs.com/products/2048-ai
Language: Python
License: MIT
License Family: permissive
Last push: 2026-03-18T13:07:21+00:00

## Health v2 (maintenance only)
Score: 65/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 72, release rhythm 35, longevity 100
- inputs: {"age_days": 4550, "days_push": 168, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1215, forks 291 (observed 2026-08-28T04:04:00.978709+00:00)

## What it is
An AI solver for the 2048 game using expectimax optimization with an efficient bitboard representation, searching over 10 million moves per second. It can run standalone from the command line or control the 2048 game in a browser.

## Use cases
- solve the 2048 game automatically
- watch an AI play 2048 at superhuman level
- control the 2048 browser game with an AI
- study expectimax search and game heuristics
- benchmark move-search performance with bitboards

## When to choose
- you want a fast, proven 2048 solver
- you want to automate the browser version of 2048
- you're studying expectimax optimization or bitboard techniques

## When to avoid
- you need an AI for a different game
- you want a general-purpose game AI framework

## Facets
- artifact type: application
- maturity: stable
- function: game, simulation, cli
- domain: gaming-tools, artificial-intelligence
- platform: windows, cli, browser
- tags: 2048, expectimax, game-ai, bitboard, browser-automation, algorithms, linux, macos

## Member repositories
- nneonneo/2048-ai (main) score 65

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:00.978709+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 2026-08-30T06:17:17.593288+00:00, confidence not recorded.
  - readme: https://github.com/nneonneo/2048-ai (fetched 2026-08-28T04:04:00.978709+00:00, sha 63c8144c4a29)
- Data as of 2026-08-30T08:39:29.467469+00:00.