GitHub 2026-11-13 Daily Trending Projects

It gives coding agents modern Web platform expertise, reducing legacy patterns by injecting guidance into their context.

A code-vulnerability CLI and SDK for development teams that validates findings and generates patches instead of only reporting results.

nvm: a POSIX-based lightweight Node.js version manager for quick install and switching in dev/CI; verify license and activity before adoption.

HermesEnabler2 enables Hermès watch faces for Apple Watch users on watchOS 27.0 through 27.3 beta 1.

A self-hosted finance app for individuals and small teams, deployed with Docker and accessible from browsers, mobile, and APIs.

Qwen Code is an open-source AI agent for developers that runs in the terminal, offering multi-protocol model access, agentic workflows and IDE integrations to accelerate code understanding and automation via CLI; verify license and maintenance viability before adoption.

A Zig-based local inference engine for Qwen3.5-2B and other language models on Apple Silicon and NVIDIA GPUs, without Python or MLX.

Node.js delivers a high-performance, event-driven, cross-platform JavaScript runtime for building scalable network services, CLI tools, and microservices; it operates under open governance with defined LTS releases and security/release verification practices, making it suitable for production deployments.

It gives AI coding agents an engineering workflow from requirements to release instead of just the shortest coding path.

A 150+ component design system for React 19+ teams that can customize themes and source without locking in a styling solution.

It puts AG-UI agents in company-owned browser and file environments, with every action gated by CEL and audited.

A free-token access point for Claude Code, Codex, and Pi across terminals, IDEs, and phones, claiming 1.3B+ tokens.

llama.cpp delivers efficient, local LLM inference via a pure C/C++ implementation, multi-bit quantization and CPU/GPU hybrid acceleration—suited for engineering and research teams requiring low-latency, controllable deployments and custom hardware optimizations.