# marmot を Homebrew でインストール

marmot 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

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

追加のインストールコマンド:

### macOS

- Homebrew (100%):

```sh
brew install marmot
```

  証拠: local Homebrew formula metadata

## パッケージ情報

- **パッケージキー:** brew:marmot
- **パッケージマネージャ:** Homebrew
- **バージョン:** 0.10.0
- **ソース概要:** Open-source data catalog exposing metadata to AI agents
- **ホームページ:** <https://marmotdata.io>
- **リポジトリ:** <https://github.com/marmotdata/marmot>
- **最終更新:** 2026-07-29T17:04:51+02:00
- **生成日時:** 2026-08-03T19:37:03+00:00

## 実行可能ファイル

- marmot (エイリアス)

## インストール挙動

- Bottle: 利用不可

## バージョンと鮮度

- ページ生成日: 2026-08-03
- マネージャ版: 0.10.0
## プロジェクトの歴史と使われ方

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.

### プロジェクトの歴史

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.

### 採用の歴史

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.

### 使われ方

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.

### パッケージ好きにとっての重要性

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.

### タイムライン

- 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.

### ソース

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


## セキュリティノート

marmot に一致するローカルシークレット処理マニフェストは見つかりませんでした。将来の対応で安定したパッケージ URL を使えるよう、Nucleus パッケージメタデータはここに公開されています。



## Combined YAML source

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


## ソース

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