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Source channel @githubtrending · Post #15158 · Sep 20

#typescript#anthropic#anthropic_claude#claude#claude_4#claude_4_opus#claude_4_sonnet#claude_ai#claude_code#claude_code_sdk#cursor#ide#llm#llm_code#rust#tauri opcode is a powerful desktop app that makes working with Claude Code easier and more visual. It lets you manage projects and coding sessions with a clear interface, create custom AI agents for specific tasks, track your usage and costs, and organize servers all in one place. You can save and restore session checkpoints, view detailed logs, and edit project files with live previews. It runs securely on your computer, keeping your data private, and supports Windows, macOS, and Linux. This tool helps you be more productive and organized when coding with Claude Code by replacing complex command-line work with a user-friendly GUI. https://github.com/winfunc/opcode

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@githubtrending · Post #14772 · 06/01/2025, 12:00 AM

#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