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Source channel @githubtrending · Post #14772 · Jun 1

#cplusplus#cache#cpp#database#fibers#in_memory#in_memory_database#key_value#keydb#memcached#message_broker#multi_threading#nosql#redis#valkey#vector_search Dragonfly is a modern in-memory data store compatible with Redis and Memcached, offering up to 25 times higher throughput and better cache efficiency while using up to 80% fewer resources. It scales well with larger servers, supports many Redis commands, and features a unique, memory-efficient cache and fast snapshotting. Dragonfly provides low latency, high performance, and is easy to configure with familiar Redis options. Its design ensures atomic operations and efficient resource use, making it ideal for fast, cost-effective cloud applications needing real-time data access and high scalability. This means you get faster, more efficient caching and data handling with minimal changes to your existing setup[5][2][4]. https://github.com/dragonflydb/dragonfly

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@JianjiaoPD · Post #9270 · 09/13/2025, 10:08 AM

🔖Everything AI Chat | 智能文件搜索与自然语言查询助手 Everything AI Chat 将 AI 智能 与 Everything 极速搜索引擎 融合,带来全新的文件搜索体验。它支持 10 种语言,能将“今天的 PDF 文件”“大于 10MB 的视频”这样的自然语言自动转换为精确搜索语法,并通过 GPT-3.5/GPT-4 理解复杂查询意图,即便没有 AI 配置也能依靠本地规则优化搜索 工具具备 自动安装检测、智能进程管理、端口冲突规避、配置备份恢复 等自动化特性,确保连接安全稳定。搜索结果支持 多维度排序、文件类型识别、详细属性展示,配合 现代化毛玻璃界面、历史记录管理、系统托盘集成,让文件搜索真正做到 智能、高效、好用 🌐官网 · 📃下载 · 🐙GitHub 标签:#EverythingAIChat#文件管理#文件管理器#文件#AI#Everything 🔗发【关键词】搜索资源: @xiuerSearch 📮频道 | 🪧群聊 | ✨中文包