本文分享了一种高效切换Google Play商店地区的实用技巧，帮助用户解决家庭组加入难题。作者通过创建新付款资料（利用AI生成对应地区真实地址）、挂载目标国家IP、禁用定位权限并清空应用数据，成功实现地区切换。该方法操作简单，成功率高达100%，能保留Play点数，且绕过90天改区限制限制。文章还提供了风控验证方法，如使用GeminiAPP检查IP质量，确保操作安全。这一技巧融合了AI技术和谷歌服务，为科技爱好者提供了宝贵的解决方案，让用户能够无缝切换地区，享受全球应用资源。
原文链接：Linux.do
Software Control Level Standards in the AI EraClaude Launches Agent Skills Open Standard, Leading AI Skills Ecosystem DevelopmentMistral OCR 3 Released: Pricing as Low as $1 per 1000 PagesAI-Powered Migration of High-Fidelity Prototypes: Animation TechniquesAI时代的软件控制级别标准AI迁移高保真原型图：动效处理技巧分享AI Music Creation: Dogalog - A Real-Time Programming Environment Based on PrologAI Agent Development Tool: The Ultimate Productivity Booster for ProgrammersClaude Code 原生没有跨会话记忆。Claude-Mem 解决了这个问题。现在，它有中文版了。
项目地址：https://github.com/cfrs2005/claude-mem
用过 Claude Code 的人都知道一个痛点：
每次新会话，AI 都是一张白纸。
昨天你花了两小时教它理解项目架构。今天打开，它全忘了。
这不是 Bug，是设计。大模型本身没有持久化存储。每次对话都是独立的。
就像和一个失忆症患者合作——能力很强，但每天都要重新自我介绍。
Claude-Mem 的思路很简单：
既然 AI 没有记忆，就给它造一个。
它做了三件事：
类比：给 AI 配了一本日记本。每天写日记，需要时翻阅。
原版 Claude-Mem 是英文的。
对于中文开发者来说，有几个问题：
中文版解决了这些：
对中文用户更友好。
第一步：安装原版插件
在 Claude Code 中执行：
/plugin marketplace add thedotmack/claude-mem
/plugin install claude-mem
重启 Claude Code。
第二步：克隆中文版
git clone https://github.com/cfrs2005/claude-mem.git
cd claude-mem
npm install
第三步：编译并同步
npm run build-and-sync
这一条命令完成：编译 → 同步到插件目录 → 重启服务。
完成。
你在开发一个复杂项目。
没有 Claude-Mem：每次都要重新解释项目结构、技术栈、代码规范。
有了 Claude-Mem：AI 记得你的项目，直接进入工作状态。
你教会 AI 一些特定领域知识。
没有 Claude-Mem：下次全忘。
有了 Claude-Mem：知识持久化，越用越聪明。
昨天调试到一半，今天继续。
没有 Claude-Mem：从头开始。
有了 Claude-Mem：AI 知道昨天做到哪了。
Claude-Mem 的核心是一个本地 SQLite 数据库。
写入流程： 1. 对话结束时，触发记忆压缩 2. 提取关键信息（决策、发现、错误、代码变更） 3. 生成结构化摘要 4. 存入本地数据库
读取流程： 1. 新会话开始 2. 根据当前项目/上下文，检索相关记忆 3. 注入到系统提示词 4. AI 获得"记忆"
隐私保障： - 所有数据存在本地 - 不上传任何服务器 - 你完全控制自己的数据
| 特性 | 原版 | 中文版 |
|---|---|---|
| 提示词语言 | 英文 | 中文 |
| 文档语言 | 英文 | 中文 |
| 日志输出 | 英文 | 中文 |
| 记忆摘要 | 英文生成 | 中文生成 |
| 核心功能 | 完整 | 完整 |
功能完全一致，只是语言本地化。
Q：会影响 Claude Code 性能吗？
A：影响很小。记忆压缩是异步的，不阻塞主流程。
Q：数据存在哪里？
A：本地 SQLite 文件，路径可配置。
Q：能和原版共存吗？
A：不建议。中文版会覆盖原版的提示词文件。
Q：支持哪些操作系统？
A：macOS、Linux、Windows（WSL）。
Claude-Mem 解决了 Claude Code 的记忆问题。
中文版让中文用户用得更顺手。
如果你： - 经常用 Claude Code 开发 - 受够了每次重新解释项目 - 希望 AI 能"记住"你教它的东西
试试这个项目。
GitHub：https://github.com/cfrs2005/claude-mem
参考链接
The author reflects on their journey developing four AI products in one year, from Readecho in 2024 to Wentutu, PrompterHub, and Heartsticker in 2025, sharing ten key reflections. These insights include matching product form with use cases, balancing technical learning with business goals, prioritizing operations over features, focusing on core value, considering commercialization from the start, aligning feature design with operations, driving business value through growth, how platform choice affects product potential, the importance of building a user community, and the symbiotic relationship between personal branding and product growth. These experiences offer practical product development strategies for indie developers and entrepreneurs, emphasizing how to avoid common pitfalls and achieve sustainable product growth in the AI era through hands-on experience.
Original Link:V2EX Share & Discover
Recently, a developer successfully created a handwriting practice website using the latest GPT-5.2-Codex update. The author had previously attempted to debug using Gemini 3 and Claude 4.5 with unsatisfactory results, but GPT-5.2-Codex delivered impressive outcomes. The website is now live at https://lianzi.wangwangit.com, and the author invites readers to try it out and share their experiences. This case demonstrates the practical application of AI models in website development, offering valuable insights for tech enthusiasts and highlighting the practical value of cutting-edge AI technology.
Original link:V2EX Share & Discover
This article introduces a practical method to enhance the search efficiency of Obsidian knowledge bases. As a popular knowledge management tool, Obsidian's native search functionality often fails to meet user needs. By combining with Qoder's Agent service, users can achieve more precise searches within their local knowledge base. The article provides detailed operational steps: simply open Qoder in your Obsidian storage folder to quickly find the content you need. Additionally, the article mentions that Qoder is currently running a credit giveaway event, offering users an opportunity to try this solution. This combined approach is particularly suitable for users who need to efficiently manage large numbers of Markdown documents, significantly improving knowledge retrieval efficiency.
Original Link:V2EX Share & Discover
This article introduces an AI-developed Chrome extension specifically designed to remove the star watermarks from Gemini-generated content. The tool processes images using local computation, requiring no internet connection or reliance on AI models, ensuring user privacy and security. The author has optimized the algorithm to solve the poor performance issues of traditional methods, and the extension is now available on the Chrome Web Store for users to try directly. The extension provides an efficient and convenient solution for Gemini-style visible watermarks, suitable for scenarios that require cleaning up AI-generated content. The article also mentions related discussion topics, encouraging users to further exchange technical details. This tool demonstrates the innovative value of AI in cutting-edge technology applications, providing a practical utility for handling AI-generated content.
Original Link:Linux.do
This article provides a detailed guide on how to build a WeChat bot by combining AstrBot and WeChatPadPro, supporting integration with large model services like OpenAI and DeepSeek. Starting from deploying AstrBot, to configuring the WeChatPadPro environment, and then adding the bot connection, it offers complete operational steps. Solutions for WeChat login security verification issues are also provided. Suitable for developers and tech enthusiasts to learn and quickly build their own AI-driven WeChat bot.
Original Link:Linux.do
最新评论
I don't think the title of your article matches the content lol. Just kidding, mainly because I had some doubts after reading the article.
这个AI状态研究很深入，数据量也很大，很有参考价值。
我偶尔阅读 这个旅游网站。激励人心查看路线。
文章内容很有深度，AI模型的发展趋势值得关注。
内容丰富，对未来趋势分析得挺到位的。
Thank you for your sharing. I am worried that I lack creative ideas. It is your article that makes me full of hope. Thank you. But, I have a question, can you help me?
光纤技术真厉害，文章解析得挺透彻的。
文章内容很实用，想了解更多相关技巧。