# Installer marmot avec Homebrew

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

## installation

```sh
sudo av install brew:marmot
```

Commandes d'installation supplémentaires:

### macOS

- Homebrew (100%):

```sh
brew install marmot
```

  Preuve: local Homebrew formula metadata

## Faits du paquet

- **Clé du paquet:** brew:marmot
- **Gestionnaire de paquets:** Homebrew
- **Version:** 0.10.0
- **Résumé source:** Open-source data catalog exposing metadata to AI agents
- **Page d'accueil:** <https://marmotdata.io>
- **Dépôt:** <https://github.com/marmotdata/marmot>
- **Dernière mise à jour:** 2026-07-29T17:04:51+02:00
- **Généré:** 2026-08-03T19:37:03+00:00

## exécutables

- marmot (alias)

## Comportement d'installation

- Bouteille: non disponible

## Version et fraîcheur

- page générée: 2026-08-03
- version du gestionnaire: 0.10.0
## Historique du projet et usages

Marmot is a young open-source data catalog and context layer for teams and AI agents, focused on metadata discovery rather than storing the underlying data.

### Historique du projet

The Marmot repository was created on 2025-03-12. The README and official docs describe it as an open-source data catalog that catalogs tables, topics, queues, APIs, dashboards, services, and other assets, then exposes that metadata to humans and AI tools.

The project is written in Go and positions itself as light infrastructure: a single binary backed by PostgreSQL, with a UI, REST API, plugin model, and built-in MCP server.

### Historique d'adoption

By 2026-07-01 GitHub metadata showed 592 stars and 21 forks. The supplied package-manager facts list a Homebrew formula, and the GitHub organization also publishes related deployment assets such as charts.

The official docs frame adoption around agent-readable context: Marmot stores metadata such as schemas, ownership, descriptions, tags, lineage, and statistics, while not ingesting table rows, topic messages, or API payloads.

### Modes d'utilisation

Marmot is used by deploying the service, connecting sources through plugins or APIs, and browsing or querying cataloged assets through the UI, REST API, or MCP server. Its main package-manager relevance is the marmot executable and single-binary deployment story.

Because it is still young, the package history is thinner than established Markdown tools. The official sources are strong on positioning and architecture, but public third-party adoption signals remain limited.

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

Marmot matters to package nerds as an example of the 2025-2026 wave of AI-adjacent infrastructure being packaged as ordinary CLIs and single binaries. Its MCP server makes the data-catalog package part of agent tooling, not just data-platform tooling.

### Chronologie

- 2025: GitHub repository created.
- 2026: v0.8 and v0.10 preview releases appeared with binary assets and agent-native/context-layer work.

### Related projects

- Marmot sits near data catalogs, metadata platforms, lineage tools, and MCP servers for AI agents.
- Its official organization also publishes Helm/chart deployment material for Kubernetes use.

### Sources

- <https://github.com/marmotdata/marmot>
- <https://marmotdata.io/docs/introduction>
- <https://raw.githubusercontent.com/marmotdata/marmot/main/README.md>
- source_facts.repo


## Notes de sécurité

Aucun manifest local de gestion des secrets correspondant n'a été trouvé pour marmot. Les métadonnées de paquet Nucleus restent publiées ici afin que la couverture future dispose d'une URL stable.



## Combined YAML source

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


## Sources

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