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chore: add gallery in README
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@@ -87,6 +87,31 @@ Memoh Bot can distinguish and remember requests from multiple humans and bots, w
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- 🖥️ **Web UI**: Modern dashboard (Vue 3 + Tailwind CSS) with real-time streaming chat, tool call visualization, in-chat file manager, container filesystem browser, and visual configuration for all settings. Dark/light theme, i18n.
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- 🚀 **One-Click Deploy**: Docker Compose with automatic migration, containerd setup, and CNI networking. Interactive install script included.
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## Gallery
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<table>
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<tr>
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<td><img src="./assets/gallery/01.png" alt="Gallery 1" width="100%"></td>
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<td><img src="./assets/gallery/02.png" alt="Gallery 2" width="100%"></td>
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<td><img src="./assets/gallery/03.png" alt="Gallery 3" width="100%"></td>
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</tr>
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<tr>
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<td><strong text-align="center">Chat with Bots</strong></td>
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<td><strong text-align="center">Container & Bot Management</strong></td>
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<td><strong text-align="center">Provider & Model Configuration</strong></td>
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</tr>
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<tr>
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<td><img src="./assets/gallery/04.png" alt="Gallery 4" width="100%"></td>
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<td><img src="./assets/gallery/05.png" alt="Gallery 5" width="100%"></td>
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<td><img src="./assets/gallery/06.png" alt="Gallery 6" width="100%"></td>
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</tr>
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<tr>
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<td><strong text-align="center">Container File Manager</strong></td>
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<td><strong text-align="center">Scheduled Tasks</strong></td>
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<td><strong text-align="center">Token Usage Tracking</strong></td>
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</tr>
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</table>
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## Tech Stack
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| Layer | Stack |
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@@ -6,7 +6,7 @@
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<div align="center">
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<img src="./assets/logo.png" alt="Memoh" width="100" height="100">
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<h1>Memoh</h1>
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<p>多用户、结构化记忆、容器化的 AI Agent 系统。</p>
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<p>多成员、结构化长记忆、容器化的 AI Agent 系统。</p>
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<p>📌 <a href="https://docs.memoh.ai/blogs/2026-02-16.html">Introduction to Memoh - The Case for an Always-On, Containerized Home Agent</a></p>
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<div align="center">
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<img src="https://img.shields.io/github/package-json/v/memohai/Memoh" alt="Version" />
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@@ -61,7 +61,7 @@ sudo docker compose -f docker-compose.yml -f docker/docker-compose.cn.yml up -d
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## 为什么选择 Memoh?
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OpenClaw、Clawdbot、Moltbot 固然出色,但在稳定性、安全性、配置复杂度与 token 成本上仍有不足。若你正在寻找稳定、安全的 Bot SaaS 方案,不妨考虑我们的开源 Memoh。
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OpenClaw 令人印象深刻,但在稳定性、安全性、配置复杂度和 token 成本上存在明显不足。如果你正在寻找稳定、安全的方案,不妨考虑 Memoh。
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Memoh 是基于 Golang 的多 bot agent 服务,提供 bot、Channel、MCP、Skills 等的完整图形化配置。我们使用 Containerd 为每个 bot 提供容器级隔离,并大量借鉴 OpenClaw 的 Agent 设计。
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@@ -85,7 +85,32 @@ Memoh Bot 能区分并记忆多人与多 bot 的请求,在任意群聊中无
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- 📊 **Token 用量追踪**:按 bot 监控 token 消耗,支持用量统计与可视化。
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- 🧪 **多模型**:兼容任何 OpenAI 兼容、Anthropic 或 Google Generative AI 提供商。每个 bot 可独立配置聊天、记忆和嵌入模型。
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- 🖥️ **Web 管理界面**:基于 Vue 3 + Tailwind CSS 的现代面板,实时流式聊天、工具调用可视化、聊天内文件管理器、容器文件浏览器,所有配置可视化操作。深色/浅色主题,中英文支持。
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- 🚀 **一键部署**:Docker Compose 编排,自动迁移、containerd 初始化与网络配置,一条命令启动全栈。附带交互式安装脚本。
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- 🚀 **一键部署**:Docker Compose 编排,自动迁移、containerd 初始化与 CNI 网络配置。附带交互式安装脚本。
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## 图库
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<table>
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<tr>
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<td><img src="./assets/gallery/01.png" alt="Gallery 1" width="100%"></td>
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<td><img src="./assets/gallery/02.png" alt="Gallery 2" width="100%"></td>
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<td><img src="./assets/gallery/03.png" alt="Gallery 3" width="100%"></td>
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</tr>
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<tr>
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<td><strong text-align="center">与 Bot 聊天</strong></td>
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<td><strong text-align="center">容器与 Bot 管理</strong></td>
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<td><strong text-align="center">提供商与模型配置</strong></td>
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</tr>
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<tr>
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<td><img src="./assets/gallery/04.png" alt="Gallery 4" width="100%"></td>
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<td><img src="./assets/gallery/05.png" alt="Gallery 5" width="100%"></td>
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<td><img src="./assets/gallery/06.png" alt="Gallery 6" width="100%"></td>
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</tr>
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<tr>
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<td><strong text-align="center">容器文件管理器</strong></td>
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<td><strong text-align="center">定时任务</strong></td>
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<td><strong text-align="center">Token 用量追踪</strong></td>
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</tr>
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</table>
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## 技术栈
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