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Source channel @githubtrending · Post #15273 · Nov 6

#typescript#electron#material_you#music#music_player#netease_cloud_music#react#reactjs Music You is a free desktop music player that lets you enjoy all the features of NetEase Cloud Music on your computer, with a modern, easy-to-use design that follows Google’s Material You style. You can log in with your phone, browse recommendations, manage your music library, listen to podcasts and radio, see lyrics (including word-by-word highlights), play local files, and access your cloud music. The app is built with React and Electron, works on Windows, macOS, and Linux, and is open source—so you can even download and modify the code yourself. This gives you a smooth, full-featured music experience right on your desktop, with regular updates and a clean, customizable interface. https://github.com/GuMengYu/music-you

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Go

@golang · Post #58 · 04/22/2018, 08:22 PM

Why are goroutines not lightweight threads? Kartik Khare shows us his meaning about goroutines, lightweight threads and their difference in GoLang. There are no code examples inside but good thoughts about parallelism, threads and useful links at the end of the article :) #development#runtime#language https://codeburst.io/why-goroutines-are-not-lightweight-threads-7c460c1f155f

Go

@golang · Post #64 · 06/21/2018, 04:17 PM

Hi there! Which ways do you use to avoid memory leaks for REST API? In the following article by Iman Tumorang describes an excellent example of memory leaks, his solution, and results. Must have to read for everyone 😉 #development#runtime#architecture https://hackernoon.com/avoiding-memory-leak-in-golang-api-1843ef45fca8

GitHub Trends

@githubtrending · Post #15382 · 01/01/2026, 12:30 PM

#jupyter_notebook#agent#agentic_ai#agents#authentication#bedrock#core#gateway#identity_management#memory_management#production_code#runtime Amazon Bedrock AgentCore lets you build, deploy, and run AI agents securely at scale with any framework like CrewAI or LangGraph and any model, without managing complex infrastructure. It offers serverless runtime for long tasks up to 8 hours, gateway to connect tools like Slack or APIs easily, memory for personalized experiences, identity management, built-in code interpreter and browser tools, plus observability. This saves time by skipping heavy setup, speeds prototypes to production, cuts costs with pay-per-use, and boosts security—helping you create powerful agents faster for real business needs. https://github.com/awslabs/amazon-bedrock-agentcore-samples