# 使用 Homebrew 安装 nanobot

查看 nanobot 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。

## 安装

```sh
sudo av install brew:nanobot
```

其他安装命令:

### macOS

- Homebrew (100%):

```sh
brew install nanobot
```

  证据: local Homebrew formula metadata

## 软件包事实

- **软件包键:** brew:nanobot
- **软件包管理器:** Homebrew
- **版本:** 0.0.91
- **来源摘要:** Build MCP Agents
- **主页:** <https://www.nanobot.ai/>
- **仓库:** <https://github.com/obot-platform/nanobot>
- **最后更新:** 2026-07-26T19:43:13+02:00
- **已生成:** 2026-08-03T19:37:03+00:00

## 可执行文件

- nanobot (别名)

## 安装行为

- Bottle: 不可用

## 版本和新鲜度

- 页面生成时间: 2026-08-03
- 管理器版本: 0.0.91
## 项目历史与用法

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.

### 项目历史

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.

### 采用历史

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.

### 使用方式

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.

### 为什么软件包爱好者会关心

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.

### 时间线

- 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

### 来源

- <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>


## 安全说明

没有找到 nanobot 的匹配本地密钥处理 manifest。Nucleus 软件包元数据仍在此发布，以便未来覆盖拥有稳定的软件包 URL。



## Combined YAML source

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


## 来源

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