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Source channel @githubtrending · Post #14881 · Jun 29

#go#docker#golang#media_streaming#remote_control#remote_desktop#self_hosted#virtual_browser#vue#webrtc Neko is a self-hosted virtual browser that runs inside a Docker container and streams via WebRTC, letting you securely and privately access a full browser or desktop environment from anywhere. It supports multiple users at once, making it great for team collaboration, shared browsing, watch parties, and interactive presentations. You can run various browsers like Firefox, Chrome, or Tor, and even other Linux apps. Neko keeps your data safe by isolating the browser environment, avoids leaving traces on your device, and supports smooth video and audio streaming. This gives you flexible, secure, and private web access with easy sharing and real-time interaction. https://github.com/m1k1o/neko

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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