# nanobot を Homebrew でインストール

nanobot 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:nanobot
```

追加のインストールコマンド:

### macOS

- Homebrew (100%):

```sh
brew install nanobot
```

  証拠: local Homebrew formula metadata

## パッケージ情報

- **パッケージキー:** brew:nanobot
- **パッケージマネージャ:** Homebrew
- **バージョン:** 0.0.91
- **ソース概要:** Build MCP Agents
- **ホームページ:** <https://www.nanobot.ai/>
- **リポジトリ:** <https://github.com/obot-platform/nanobot>
- **最終更新:** 2026-07-26T19:43:13+02:00
- **生成日時:** 2026-08-03T19:37:03+00:00

## 実行可能ファイル

- nanobot (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: 0.0.91
## プロジェクトの歴史と使われ方

Nanobot is a young Obot Platform project for building MCP-based agents. Its upstream README describes it as a standalone open-source MCP host that combines MCP servers, an LLM, and context into a deployable agent experience, rather than relying on the MCP hosts built into editors and chat products.

### プロジェクトの歴史

The GitHub repository was created on 2025-05-16, and the project was still explicitly labeled alpha/heavy-development in its README during this run. That fits the package's role: it tracks the fast-moving Model Context Protocol ecosystem and is still changing configuration and host behavior while MCP and MCP-UI mature.

Release metadata shows rapid iteration through v0.0.87, published on 2026-06-24. The README roadmap emphasizes fuller MCP and MCP-UI compliance, multi-agent support, production-ready UI, more model providers, authentication/security features, and embeddable front-end integrations.

### 採用の歴史

GitHub API data fetched on 2026-07-01 showed 1,327 stars and 200 forks, a notable early signal for a project less than fourteen months old. Homebrew's formula JSON generated on 2026-07-01 reported 897 installs over 365 days and 75 installs over 30 days, so Homebrew adoption exists but is still small compared with mature infrastructure packages.

The README's examples show the intended adoption path: builders package MCP servers into dedicated chat-like experiences such as a game, a Hugging Face MCP example, or a Shopify shopping assistant, then run them with a `nanobot.yaml` or directory of markdown agent definitions.

### 使われ方

Package users install the `nanobot` CLI, define one or more agents and MCP servers, provide model-provider credentials such as OpenAI or Anthropic API keys, and run `nanobot run ./nanobot.yaml` or a configuration directory. The local UI is served from port 8080 in the README example.

Package nerds should treat this as an agent-hosting tool rather than a library dependency: it is useful for experimenting with MCP servers, local provider wiring, and standalone agent UIs, but the upstream warning about breaking changes means pinning versions matters for repeatable demos or internal tools.

### パッケージ好きにとっての重要性

Nanobot is significant because it packages the MCP-host side of the agent stack into a single Homebrew CLI. It is not yet an old, stable Unix utility; its value is that it gives MCP developers a reproducible command-line way to turn MCP servers into usable agent surfaces while the ecosystem is still forming.

### タイムライン

- 2025-05-16: obot-platform/nanobot repository created on GitHub.
- 2026-06-24: v0.0.87 release published.
- 2026-07-01: Homebrew formula JSON listed stable version 0.0.87 and 897 installs over 365 days.

### Related projects

- Model Context Protocol
- MCP-UI
- Obot Platform

### ソース

- <https://api.github.com/repos/obot-platform/nanobot>
- <https://api.github.com/repos/obot-platform/nanobot/releases?per_page=5>
- <https://formulae.brew.sh/api/formula/nanobot.json>
- <https://formulae.brew.sh/formula/nanobot>
- <https://github.com/obot-platform/nanobot>


## セキュリティノート

nanobot 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/nanobot.yml](https://github.com/mxcl/pkgdb/blob/main/combined/nanobot.yml)


## ソース

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