TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #15182 · Sep 30
#typescript#accessibility#cross_platform#speech_to_text#tauri_v2 Handy is a free, open-source speech-to-text app that works offline on Windows, macOS, and Linux. You press a shortcut, speak, and your words appear in any text field without sending your voice to the cloud, keeping your data private. It uses advanced models like Whisper and Parakeet for accurate transcription and supports GPU acceleration or CPU-only modes. Handy is simple, privacy-focused, and customizable, making it ideal if you want a secure, extensible tool for converting speech to text without relying on internet services. This helps you type hands-free while protecting your privacy and controlling your data. https://github.com/cjpais/Handy
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