Popular GitHub Repositories for Wsl

LLMs for your CLI

Examples of RAG using Llamaindex with local LLMs - Gemma, Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B

Implementing Ollama and Agents to create a blogging bot

One-click install for StabilityAI's Stable-Diffusion with AUTOMATIC1111's webui

JAX implementation of instant-ngp (NeRF part)

Automate Windows screenshots for Claude Code workflows in WSL2. Take screenshots (Win+Shift+S, Win+PrintScreen, Snipping Tool) and instantly get file paths copied to clipboard for pasting into Claude Code (Terminal or running in VS Code). No more manual save/copy/paste!

Simple Telegram bot using GPT4All

A web interface for llama.cpp cli written in js, jQuery and php.

? A modern, full-featured web interface for Claude AI with advanced coding capabilities. Features multi-language support, terminal integration, file management, session handling, and MCP server management. Built with React + TypeScript frontend and Deno backend.

A fully auto configured, self-hosted local AI & database stack on Debian WSL2.

Windows + WSL2 + VSCode + RemoteContainers + Stable Diffusion WebUI ( + Forge )

? A comprehensive toolkit for benchmarking, optimizing, and deploying local Large Language Models. Includes performance testing tools, optimized configurations for CPU/GPU/hybrid setups, and detailed guides to maximize LLM performance on your hardware.

This demo explores Gemini's computer use feature with a virtual environment, agent loop, and tools. It includes a Streamlit interface for interaction. Requires a Gemini API key and careful security precautions due to beta risks, especially internet access. Follow setup instructions using WSL, and ensure environment variables are configured.

? CLI tool to create isolated Docker-based development environments with local domain access via NGINX reverse proxy. Designed for Windows + WSL2.

ai-jax

用于从 Windows 访问 WSL 发行版的 MCP 文件系统服务器

A beginner-friendly project for fine-tuning, testing, and deploying language models for sentiment analysis with a strong emphasis on quality assurance and testing methodologies.

A fully auto configured, self-hosted local AI & database stack on Debian WSL2.

Modular productivity framework for integrating ChatGPT and LLMs into VSCode workflows with WSL2-based Ubuntu environments.

Installing, configuring and running CARLA and ROS on WSL on Windows