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Source channel @TossLabChannel · Post #445 · 12月26日

#夸克网盘#青龙#自动转存#签到#任务#Script#Task#quark#Docker 夸克网盘自动签到转存脚本 功能亮点: • 自动签到:每日自动完成签到,领取网盘奖励; • 自动转存:对持续更新的资源自动转存,减少手动操作; • 命名整理:统一文件命名规则,便于管理; • 推送提醒:支持消息推送,实时获取动态; • 刷新媒体库:自动刷新媒体库,配合 Alist、rclone、Emby,实现自动追更。 适用场景: 适合网盘重度用户和资源收集者,大幅提升资源管理效率。 📢 群聊: @TossLab 🎈 频道: @TossLabChannel ❤️不想错过精彩内容,请打开 #频道通知,你的 #阅读#点赞#转发 便是我发帖的最大动力!

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Go

@golang · Post #58 · 2018/04/22 20:22

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 · 2018/06/21 16:17

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 · 2026/01/01 12:30

#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