Hermes Agent 部署 UI + 本地模型 Gemma 4，对接微信（完全免费，无需 Tokens）

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如果你想打造一个完全本地运行、无需 API Key、可接入微信的 AI 助手系统，这套方案可以说是目前最香的组合之一：Hermes Agent + WebUI + Ollama + Gemma 4<strong ,</strong不仅免费，而且隐私可控、可扩展性极强，非常适合做自动化助手、私域 AI、甚至商业化探索。

一、整体架构说明</h2

先快速理解一下整体结构：</p

• <strongOllama + Gemma 4</strong  本地大模型推理
• <strongHermes Agent</strong  AI Agent 调度核心
• <strongHermes WebUI</strong  可视化操作界面
• <strong微信接入</strong  实现真实应用场景

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二、下载本地模型（Ollama + Gemma 4）</h2

首先，我们需要准备本地大模型环境。

 安装 Ollama</h3

官网安装： 【<span style="color: #0000ff;"<strong<a style="color: #0000ff;" href="https://ollama.com" target="_blank" rel="noopener"点击前往</a</strong</span】 下载最新版

安装完成后，拉取 Gemma 4 模型：

 </p
<pre class="EnlighterJSRAW" data-enlighter-language="generic"ollama run gemma4</pre

</h3

（你也可以选择更大版本，比如 26B / 31B，看你电脑配置）</h4

获取 API 地址</h3

Ollama 默认会启动本地服务：http://127.0.0.1:11434

 

但 Hermes Agent 需要用你局域网 IP来访问。

在 CMD 输入：</p
<pre class="EnlighterJSRAW" data-enlighter-language="generic"ipconfig</pre

找到类似： IPv4 地址 . . . . . . . . . . . : 192.168.1.228

那么你的 API 地址就是： http://192.168.1.228:11434/v1

⚠️ 这个地址非常关键，后面要填到 Hermes 配置里！

<strong三、部署 WSL 2（Linux 子系统）</strong</h2

Hermes Agent 官方推荐 Linux 环境，这里我们用 <strongWSL2</strong。

 

<strong前期准备：</strong</h2

 

在开始之前，建议大家安装下 Windows Terminal，它是一款新式、快速、高效、强大且高效的Windows 的终端程序，适用于命令行工具和命令提示符，PowerShell和 WSL 等 Shell 用户。可以方便我们切换不同的系统！

【<span style="color: #0000ff;"<strong<a style="color: #0000ff;" href="https://apps.microsoft.com/detail/9n0dx20hk701?hl=zh-CN" target="_blank" rel="noopener"点击下载</a</strong</span】</h3

</h3

一、安装 WSL2</h3

<span class="BZ_Pyq_fadeIn"在 </span<span class="BZ_Pyq_fadeIn"PowerShell（</span<span class="BZ_Pyq_fadeIn"管理</span<span class="BZ_Pyq_fadeIn"员）</span<span class="BZ_Pyq_fadeIn"执行：</span

<span class="enlighter-text"wsl –install</span</div
</div
</div
</div
</div
<p data-start="289" data-end="299"<span class="BZ_Pyq_fadeIn"安装</span<span class="BZ_Pyq_fadeIn"完成后</span<span class="BZ_Pyq_fadeIn"重</span<span class="BZ_Pyq_fadeIn"启</span<span class="BZ_Pyq_fadeIn"电脑，</span<span class="BZ_Pyq_fadeIn"然后</span<span class="BZ_Pyq_fadeIn"安装</span<span class="BZ_Pyq_fadeIn"Ubuntu</span<strong data-start="306" data-end="316"<span class="BZ_Pyq_fadeIn"，</span</strong

<span class="enlighter-text"wsl –install -d Ubuntu</span</div
</div
</div
</div
</div

 </p
<p data-start="289" data-end="299"<span class="BZ_Pyq_fadeIn"检查</span<span class="BZ_Pyq_fadeIn"版本：</span

<span class="enlighter-text"wsl –version</span</div
</div
</div
</div
</div

<span class="BZ_Pyq_fadeIn"确保输出结果</span<span class="BZ_Pyq_fadeIn"是：</spanWSL2

四、部署 Hermes Agent + UI</h2

进入 Ubuntu 后，开始核心部署。

</h3

 安装 Hermes Agent</h3
<pre class="EnlighterJSRAW" data-enlighter-language="generic"curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash</pre

 </p
<pre安装完成后，可以执行：

</pre
<pre class="EnlighterJSRAW" data-enlighter-language="generic"hermes doctor</pre

 

检查环境是否正常。

</h3

 安装 Hermes WebUI</h3
<pre class="EnlighterJSRAW" data-enlighter-language="generic"git clone https://github.com/nesquena/hermes-webui.git hermes-webui
cd hermes-webui
./start.sh</pre

 

 

启动后，一般访问：

 

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</div

<phttp://127.0.0.1:8787</p
<pre即可打开 UI 页面 🎉</pre

</h2

<strongMac 系统一键部署命令:</strong</h2
<pre class="EnlighterJSRAW" data-enlighter-language="generic"git clone https://github.com/nesquena/hermes-webui.git hermes-webui
cd hermes-webui
python3 bootstrap.py</pre

 </p
<p dir="auto"<span dir="auto"引导程序将：</span</p
<ol dir="auto"

<span dir="auto"检测 Hermes Agent，如果缺少，则尝试使用官方安装程序（</span<codecurl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash</code<span dir="auto"）。</span

<span dir="auto"查找或创建包含 WebUI 依赖项的 Python 环境。</span

<span dir="auto"启动 Web 服务器并等待</span<code/health</code<span dir="auto"。</span

<span dir="auto"除非通过验证，否则请打开浏览器</span<code--no-browser</code<span dir="auto"。</span

<span dir="auto"将您直接导入 WebUI 中的首次运行引导向导。</span

 

五、配置 Hermes 对接本地 Gemma 4</h2

运行：</p
<pre<code class="language-bash"hermes setup
</code</pre

进入配置界面后：

关键配置项：</h3

• <strongModel Provider</strong：选择 OpenAI Compatible
• <strongBase URL</strong：填入你的 Ollama 地址

<pre<codehttp://192.168.1.228:11434/v1
</code</pre

• <strongModel Name</strong：

<pre<codegemma4
</code</pre

⚠️ 如果提示上下文不足（比如你之前遇到的 8K 限制问题）：

可以修改：</p
<pre<code class="language-yaml"model:
context_length: 8192
</code</pre

或者换更大的模型。

</h2

六、Hermes Agent 对接微信（重点）</h2

 

 进入配置</h3
<pre<code class="language-bash"hermes setup
</code</pre

</h3

 选择微信接入</h3

找到：</p
<pre<codemessaging platforms
</code</pre

选择：</p
<pre<codeweixin / wechat
</code</pre

</h3

扫码登录</h3

系统会弹出二维码：

用微信扫码登录即可完成绑定

 完成效果</h3

完成后你就拥有：</p

• 一个<strong微信 AI 助手</strong
• 基于本地模型（无需 API）
• 可执行自动化任务（Agent能力）

</h2

七、最终效果展示</h2

部署完成后，你的系统具备：

✅ 本地 AI（Gemma 4）
✅ 可视化 UI 管理
✅ 微信实时对话
✅ 无需 Token / 无费用
✅ 完全私有化部署

</h2

八、常见问题（避坑指南）</h2

1. 模型上下文不足报错</h3

错误示例：</p
<pre<codecontext window too small
</code</pre

解决：</p

• 换更大模型（如 7B+）
• 或手动设置 context_length

</h3

2. Ollama 无法被访问</h3

检查：</p

• 是否用的是 <code127.0.0.1</code（❌）
• 是否改为局域网 IP（✅）

</h3

3. WebUI 无法打开</h3

尝试：</p
<pre<code class="language-bash"./start.sh
</code</pre

或者检查端口占用。

</h3

4. 微信掉线问题</h3

这是微信协议限制，建议：</p

• 保持 Hermes 常驻运行
• 避免频繁重启

九、总结</h2

这套方案的核心价值在于：

<strong零成本 + 本地化 + 可扩展 AI Agent</strong

相比传统 OpenAI API 方案：</p

• 不用花钱
• 不怕封号
• 数据更安全

如果你做：</p

• 私域流量运营
• 自动客服
• AI 工具开发

这套架构非常值得你深入研究。

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<div class="code-block code-block-center code-block-1 ai-track" data-ai="WzEsMCwiQmxvY2sgMSIsIiIsMV0="
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