# leela-zero/leela-zero

Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.

Repository: https://github.com/leela-zero/leela-zero
Canonical: https://ross.abutalabs.com/products/leela-zero
Language: C++
License: GPL-3.0
License Family: copyleft
Last push: 2024-05-02T18:00:51+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3235, "days_push": 853, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5586, forks 1012 (observed 2026-08-28T04:09:22.617944+00:00)

## What it is
Leela Zero is an open-source Go engine that reimplements AlphaGo Zero, combining Monte Carlo Tree Search with a deep residual convolutional neural network and requiring no human-provided game knowledge. It relies on externally supplied network weights and supports a distributed community effort to train them.

## Use cases
- play Go against a strong AI engine
- reproduce the AlphaGo Zero paper
- contribute GPU compute to a distributed Go training effort
- study reinforcement learning and MCTS in board games
- run a self-taught Go program without human game records

## When to choose
- you want an open-source AlphaGo Zero-style Go engine
- you have a modern GPU and want to play or help train the network
- you want to study MCTS plus deep neural network game play

## When to avoid
- you need a strong engine out of the box without obtaining network weights
- you lack a GPU and need high performance
- you want a Go engine trained on human professional games

## Facets
- artifact type: application
- maturity: maintenance
- function: machine-learning, deep-learning, gpu-computing, simulation
- domain: artificial-intelligence, deep-learning, reinforcement-learning
- platform: windows, cpp
- tags: go-engine, alphago-zero, mcts, reinforcement-learning, neural-network, board-games, distributed-computing, game-development, linux, macos, gpu

## Member repositories
- leela-zero/leela-zero (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:22.617944+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 2026-08-29T17:55:32.429296+00:00, confidence not recorded.
  - readme: https://github.com/leela-zero/leela-zero (fetched 2026-08-28T04:09:22.617944+00:00, sha f423504ae703)
- Data as of 2026-08-30T08:39:29.467469+00:00.