<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>OpenClaw on heihie</title><link>https://heihei0299.github.io/tags/openclaw/</link><description>Recent content in OpenClaw on heihie</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Wed, 29 Jul 2026 01:00:00 +0800</lastBuildDate><atom:link href="https://heihei0299.github.io/tags/openclaw/index.xml" rel="self" type="application/rss+xml"/><item><title>Pi Coding Agent 使用教程</title><link>https://heihei0299.github.io/posts/ai/pi-%E4%BD%BF%E7%94%A8%E6%95%99%E7%A8%8B/</link><pubDate>Wed, 29 Jul 2026 01:00:00 +0800</pubDate><guid>https://heihei0299.github.io/posts/ai/pi-%E4%BD%BF%E7%94%A8%E6%95%99%E7%A8%8B/</guid><description>Pi 是目前最好用的 AI Agent CLI，本文详细介绍从安装、模型配置到自定义扩展的全流程操作指南。</description></item><item><title>Linux 部署 OpenClaw</title><link>https://heihei0299.github.io/posts/ai/openclaw-linux-deploy/</link><pubDate>Sat, 04 Apr 2026 00:00:00 +0800</pubDate><guid>https://heihei0299.github.io/posts/ai/openclaw-linux-deploy/</guid><description>在 Linux 上部署 OpenClaw 的完整流程：切换中科大源加速、用 fnm 安装 Node.js、安装 git、配置 npm 国内镜像，最后安装并初始化 openclaw</description></item><item><title>macOS 部署 OpenClaw</title><link>https://heihei0299.github.io/posts/ai/openclaw-macos-deploy/</link><pubDate>Sat, 04 Apr 2026 00:00:00 +0800</pubDate><guid>https://heihei0299.github.io/posts/ai/openclaw-macos-deploy/</guid><description>在 macOS 上部署 OpenClaw 的完整流程：安装 Homebrew、通过 nvm 安装 Node.js 并配置国内镜像源、安装 git，最后安装并初始化 openclaw</description></item><item><title>OpenClaw 接入飞书机器人</title><link>https://heihei0299.github.io/posts/ai/openclaw-feishu-integration/</link><pubDate>Sat, 04 Apr 2026 00:00:00 +0800</pubDate><guid>https://heihei0299.github.io/posts/ai/openclaw-feishu-integration/</guid><description>将 OpenClaw 接入飞书，通过飞书机器人对话使用 AI 能力，含 DeepSeek 模型配置、飞书应用创建、权限设置、插件安装等完整步骤</description></item><item><title>安装 MCP 并使用 MCP</title><link>https://heihei0299.github.io/posts/ai/install-mcp/</link><pubDate>Sat, 04 Apr 2026 00:00:00 +0800</pubDate><guid>https://heihei0299.github.io/posts/ai/install-mcp/</guid><description>在配置 MCP 服务器之前，先用 mcporter CLI 做好准备工作：安装、启用技能，为后续接入各类 MCP 服务器打好基础</description></item><item><title>QMD 记忆优化系统</title><link>https://heihei0299.github.io/posts/ai/qmd-memory-optimization/</link><pubDate>Fri, 20 Mar 2026 00:00:00 +0800</pubDate><guid>https://heihei0299.github.io/posts/ai/qmd-memory-optimization/</guid><description>在 OpenClaw 中接入 QMD（Quantum Memory Database）本地语义搜索引擎：安装、配置、验证与实测效果，解决长会话上下文爆炸导致的慢、贵、卡问题</description></item><item><title>常见问题</title><link>https://heihei0299.github.io/posts/ai/openclaw-faq/</link><pubDate>Sat, 07 Mar 2026 00:00:00 +0800</pubDate><guid>https://heihei0299.github.io/posts/ai/openclaw-faq/</guid><description>OpenClaw 部署与使用中的高频问题汇总：飞书循环提示配对码的 Dm Policy 调整、Windows 安装报错 3221225477 的解决、Git SSH 网络错误的三种处理方法</description></item><item><title>OpenClaw 浏览器自动化教程</title><link>https://heihei0299.github.io/posts/ai/openclaw-browser-automation/</link><pubDate>Thu, 05 Mar 2026 00:00:00 +0800</pubDate><guid>https://heihei0299.github.io/posts/ai/openclaw-browser-automation/</guid><description>浏览器自动化一般主要靠代码框架、零代码工具和 AI 辅助工具实现，常用于功能测试、回归测试和跨浏览器兼容性测试。</description></item><item><title>OpenClaw + 飞书（Feishu）环境搭建指南</title><link>https://heihei0299.github.io/posts/ai/openclaw-feishu-setup/</link><pubDate>Tue, 24 Feb 2026 00:00:00 +0800</pubDate><guid>https://heihei0299.github.io/posts/ai/openclaw-feishu-setup/</guid><description>Windows 环境下 OpenClaw × 飞书 插件安装与调试的部署教程：安装 OpenClaw、配置本地网关、接入飞书机器人（含国内环境 npm 安装困难的解决方案）与常见问题排查</description></item><item><title>Windows 部署 OpenClaw</title><link>https://heihei0299.github.io/posts/ai/openclaw-windows-deploy/</link><pubDate>Fri, 20 Feb 2026 00:00:00 +0800</pubDate><guid>https://heihei0299.github.io/posts/ai/openclaw-windows-deploy/</guid><description>在 Windows 上部署 OpenClaw 的完整流程：安装 Node.js、Git 与 Visual Studio，配置 npm 国内镜像，安装 openclaw 并掌握常用命令与常见问题排查</description></item></channel></rss>