A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows

A phone number can reveal whether a device is active, in standby or offline (and more). This PoC demonstrates how delivery receipts + RTT timing leak sensitive device-activity patterns. (WhatsApp /…

Kubetools - Curated List of Kubernetes Tools

Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel t…

Kubernetes CLI plugin to decode Kubernetes secrets

Kubernetes Goat is a "Vulnerable by Design" cluster environment to learn and practice Kubernetes security using an interactive hands-on playground 🚀

A 100% free modern JS SaaS boilerplate (React, NodeJS, Prisma). Full-featured: Auth (email, google, github, slack, MS), Email sending, Background jobs, Landing page, Payments (Stripe, Polar.sh), Sh…

Boilerplate for rest service of authentication using Spring Boot

Gamified Chaos Engineering Tool for Kubernetes

⚙️ A GitHub Action to send an email to multiple recipients

Native Kubernetes desktop IDE designed for seamless cluster exploration

An awesome README template to jumpstart your projects!

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Instant voice cloning by MIT and MyShell. Audio foundation model.

Optimized and Maintenance-free Kubernetes on Hetzner Cloud in one command!

maquinitas manuals

Investigation and discovery of the Roland TR-8S SysEx implementation

Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

Linux containers from scratch in C.

Teste rápido e simples do modelo Albertina PT-PT

A curated list of awesome libraries, tools, and integrations for Hetzner Cloud

Skaffold NestJS Angular example with local remote and kaniko configurations

RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.

Generate automated tests for your Node.js app via LLMs without developers having to write a single line of code.