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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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@kejiqu · Post #3946 · 12/10/2025, 08:27 AM

AI 智能体开源基金会成立:OpenAI、谷歌、亚马逊 AWS 等巨头加入,目标打破新时代垄断 为应对AI智能体发展可能出现的不兼容和封闭生态,Linux基金会启动“Agentic AI Foundation”(AAIF)。该组织旨在推动AI智能体相关开源项目的中立发展,初期获得Anthropic、Block和OpenAI的捐赠支持。Anthropic贡献了模型上下文协议MCP,Block贡献了Goose框架,OpenAI贡献了AGENTS.md。亚马逊AWS、彭博社、Cloudflare和谷歌等也已加入AAIF。AAIF通过“定向基金”模式筹集资金,技术路线图由技术指导委员会决定,以避免少数平台垄断AI智能体基础设施,确保不同系统间的协作。IT之家 🏷#Agentic#AI#Foundation#AI#智能体#开源 📢频道👥群组📝投稿