Ross ROSS = Recommend OSS · open-source software intelligence for agents

nneonneo/2048-ai

AI for the 2048 game observed · 2026-08-28

github.com/nneonneo/2048-ai · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

65/100

  • Activity 72
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 4550
  • days_rel: n/a
  • days_push: 168
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1215 stars · 291 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

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

application · maturity stable

game simulation cli gaming-tools artificial-intelligence windows cli browser 2048 expectimax game-ai bitboard browser-automation algorithms linux macos

1 source

Member repositories

RepositoryRoleHealth v2
nneonneo/2048-aimain65

For agents

markdown · JSON · MCP: product_card(name="nneonneo/2048-ai")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem