macOS
brew install leela-zerolocal Homebrew formula metadata
brew / 順位 5783
leela-zero のインストール経路、実行ファイル、メタデータ、AI エージェント向けセキュリティノートを確認します。
インストール
brew install leela-zerolocal Homebrew formula metadata
sudo apt install leela-zeroDebian stable package indexes · leela-zero · ソース: deb.debian.org
nix profile install nixpkgs#leela-zeronixpkgs package indexes · pkgs/by-name/le/leela-zero/package.nix · ソース: api.github.com
概要
Neural Network Go engine with no human-provided knowledge
履歴
Leela Zero is an open-source Go engine modeled after DeepMind's AlphaGo Zero approach: Monte Carlo tree search guided by a deep residual convolutional neural network, trained without human-provided Go knowledge.
The project appeared after the AlphaGo Zero paper as a public reimplementation effort. Its README explicitly framed the engine as a faithful open-source implementation of the AlphaGo Zero system, while also noting that the repository did not contain trained network weights.
A major part of the project was the distributed AutoGTP training loop: volunteers ran clients that generated self-play games, uploaded results, and helped train stronger networks. The official training site records 21,219,288 self-play games and 1,264,007 match games before the server shut down on 2021-02-15.
The release line evolved through practical engine work: OpenCL/GPU support, GTP integration, GUI-facing analysis commands, batching, Tensor Core support, Winograd optimizations, and AutoGTP features. Version 0.17 was released on 2019-04-04.
Leela Zero reached adoption well beyond a niche package: the GitHub repository shows thousands of stars and forks, the README documents Homebrew installation for macOS, and the official site linked to community successor projects after training ended.
Go players and engine users usually paired it with GTP-compatible GUIs rather than running the engine directly. The README names Lizzie, Sabaki, LeelaSabaki, and GoReviewPartner as related clients or review tools.
Leela Zero is used as a Go engine through the Go Text Protocol. A user supplies a neural-network weights file, enables GTP with `--gtp`, and connects the engine to a GUI or analysis tool for playing, review, and study.
During the distributed-training phase, contributors ran AutoGTP to generate self-play or match games for the public training effort.
For package people, Leela Zero is a snapshot of the post-AlphaGo open-source AI-engine wave: C++14, OpenCL, GPU tuning, neural-network weights as separate data artifacts, and package-manager builds that had to expose a command-line engine while leaving training data outside the formula.
It also links Go-engine packaging with AI reproducibility culture: the executable, weights, GUI clients, training server, and community forks are all separate moving parts.
セキュリティ状態
broad file, network, media, or database tool signal.
リスク blue · 信頼度 中 · tool
エージェントに無人実行させる前に、このツールが平文の認証情報を読むか、リモート状態を書き込むか、成果物を公開するか、プラグインを起動するかを確認してください。
実行可能ファイル
| コマンド | 種類 | 公開範囲 | メモ |
|---|---|---|---|
leelaz | 実行可能ファイル | インデックス済み実行可能ファイル | ローカル実行可能ファイルインデックスから検出されました。 |
鮮度
これらの信号は、ページ生成時期、パッケージマネージャの活動、上流リリース比較を分けて示します。バージョン遅れは、証拠 URL と比較可能なバージョンがある場合だけ警告されます。
インストールメタデータ
| パッケージキー | brew:leela-zero |
|---|---|
| バージョン | 0.17 |
| パッケージマネージャ | Homebrew |
| ホームページ | https://zero.sjeng.org/ |
| リポジトリ | https://github.com/leela-zero/leela-zero |
| 最終更新 | 2026-07-05T18:49:59+09:00 |
| Pulse | updated |
| Bottle | 未記録 |
| サービス | 宣言なし |
ソースデータベース一致
一致は外部パッケージマネージャインデックスから取得され、ローカルの Automic Vault パッケージリンクとは分けて表示されます。
leela-zero 0.17-1+b4
Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper
https://github.com/gcp/leela-zero
sudo apt install leela-zeroleela-zero
nix profile install nixpkgs#leela-zeroleela-zero 0.17-1build6
Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper
https://github.com/gcp/leela-zero
sudo apt install leela-zeroソース経路
このページは scripts/generate-pkg-sqlite.py が生成した非公開のパッケージ SQLite アーティファクトから av-web によって提供されます。
View the package source record on GitHub.