TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #15503 · Feb 19
#go#coolq#cqhttp#cqhttp_mirai#go#go_cqhttp#golang#group_manager#mirai#mirai_bot#nonebot#onebot#onebot_plugin#onebot_sdk#plugin#qq#qq_bot#qqbot#qqrobot#websocket#zerobot ZeroBot-Plugin is a comprehensive utility plugin collection for the ZeroBot chatbot framework, offering over 100 features across entertainment, management, and productivity categories. The system provides high-priority functions like chat management, sleep tracking, and group administration, alongside mid-tier features such as image generation, music streaming, and game simulations. Users benefit from flexible plugin control—enabling or disabling specific features per group—and dynamic loading capabilities that reduce program size. The platform supports multiple deployment methods, from pre-compiled releases to local compilation, making it accessible whether you prefer ready-to-use binaries or customized builds. With extensive command options, scheduled task triggers, and AI integration, ZeroBot-Plugin transforms group chat management into an automated, entertaining experience while maintaining user control over which features activate in specific communities. https://github.com/FloatTech/ZeroBot-Plugin
Search: #runtime
@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
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@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
@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