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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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@githubtrending · Post #15487 · 02/12/2026, 12:30 PM

#typescript#ai#augmentation#humans#productivity PAI is open-source Personal AI Infrastructure that builds on tools like Claude Code to create your custom AI assistant. It learns your goals, preferences, and history from files like MISSION.md and GOALS.md, uses modular packs for skills like research or security, and improves via feedback in an Observe-Think-Plan-Execute-Learn loop. Install easily with git clone and a wizard for a full system in minutes. This magnifies your abilities, activates your potential, saves time on repetitive tasks, and makes elite AI accessible to everyone—not just experts—helping you achieve more with less effort. https://github.com/danielmiessler/Personal_AI_Infrastructure