# Installer lc0 avec Homebrew, Nix

Consultez les chemins d'installation, exécutables, métadonnées et notes de sécurité de lc0 pour les workflows d'agents IA.

## installation

```sh
sudo av install brew:lc0
```

Commandes d'installation supplémentaires:

### macOS

- Homebrew (100%):

```sh
brew install lc0
```

  Preuve: local Homebrew formula metadata

### Linux

- Nix (92%):

```sh
nix profile install nixpkgs#lc0
```

  Preuve: nixpkgs package indexes: pkgs/by-name/lc/lc0/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1

## Faits du paquet

- **Clé du paquet:** brew:lc0
- **Gestionnaire de paquets:** Homebrew
- **Version:** 0.32.1
- **Résumé source:** Open source neural network based chess engine
- **Page d'accueil:** <https://lczero.org/>
- **Dépôt:** <https://github.com/LeelaChessZero/lc0>
- **Dernière mise à jour:** 2026-06-25T13:37:48+02:00
- **Généré:** 2026-08-03T19:37:03+00:00

## exécutables

- lc0 (alias)

## Comportement d'installation

- Bouteille: non disponible

## Version et fraîcheur

- page générée: 2026-08-03
- version du gestionnaire: 0.32.1
## Historique du projet et usages

lc0 is the Leela Chess Zero engine, an open source UCI-compatible chess engine that plays with neural networks from the LeelaChessZero project.

### Historique du projet

Leela Chess Zero grew out of the post-AlphaZero wave of open source chess experimentation. The official site describes Lc0 as inspired by Google's Alpha Zero project, and the GitHub README describes the engine as the executable half of the LeelaChessZero project.

### Historique d'adoption

The project became important beyond ordinary package installation because users could both run the engine and contribute self-play training games. The README says the training server enforces game quality using client and engine versions, and the official site separates downloading the engine from downloading a neural network.

### Modes d'utilisation

Users typically run lc0 through a chess GUI or UCI-compatible interface, pairing the engine binary with a downloaded network. The README documents CPU and GPU backends including BLAS, CUDA, cuDNN, ONNX, Apple's Metal Performance Shaders, and experimental SYCL support.

### Pourquoi les passionnés de paquets s'y intéressent

lc0 is a rare package-manager-facing chess engine whose useful artifact is not just code but a code-plus-weights ecosystem. It also represents a major open source response to AlphaZero: a reproducible, community-run neural-network chess engine distributed through source, binary releases, and operating-system package managers.

### Chronologie

- 2018-05-30: GitHub lc0 repository created.
- 2018-11-19: Official blog announced lc0 v0.19.0.
- 2018-12-07: Official blog discussed AlphaZero paper details and lc0 v0.19.1.
- 2019-05-28: Official blog announced that Lc0 won TCEC 15.
- 2023-01-15: Official blog summarized 2022 progress, including contributors, search changes, network architecture changes, and new backends.
- 2025-11-23: Release v0.32.1 published.

### Related projects

- The official docs relate lc0 to AlphaZero, the LeelaChessZero training network, chess GUIs such as Nibbler, UCI-compatible chess tooling, TCEC competition, and backends such as CUDA, ONNX, BLAS, Metal, and SYCL.

### Sources

- <https://api.github.com/repos/LeelaChessZero/lc0>
- <https://github.com/LeelaChessZero/lc0>
- <https://github.com/LeelaChessZero/lc0/releases>
- <https://lczero.org/>
- <https://lczero.org/blog/2018/12/alphazero-paper-and-lc0-v0191/>
- <https://lczero.org/blog/2019/05/lc0-won-tcec-15/>
- <https://lczero.org/blog/2023/01/2022-progress/>
- <https://lczero.org/dev/wiki/what-is-lc0/>


## Notes de sécurité

broad file, network, media, or database tool signal.

- **Risque Geiger:** blue / moyen
- broad file, network, media, or database tool signal

## Autres enregistrements de gestionnaires de paquets

- Nix - lc0: normalized package name match | nixpkgs package indexes: pkgs/by-name/lc/lc0/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1


## Combined YAML source

View the package source record on GitHub. [combined/lc0.yml](https://github.com/mxcl/pkgdb/blob/main/combined/lc0.yml)


## Sources

- pkg.so package database
- Geiger risk classifier
- curated package history
- pkgdb category and tag curation
- external package-manager database matches
- cross-ecosystem install command graph