This project provides portable, containerized development workspaces designed for isolating work, enabling seamless backups, and facilitating cross-computer and cloud migration. It targets developers and researchers seeking flexible, reproducible, and easily shareable work environments, offering a unique feature of an offline, self-hosted ChatGPT-like experience.

How It Works

The core of Alnoda Workspaces is built upon Docker containers, allowing users to define and run isolated environments. Users can select pre-configured workspaces or create custom ones by specifying applications via a Dockerfile and the wrk install command. This approach offers flexibility and portability, enabling users to replicate their exact development setup anywhere. The inclusion of a Vicuna 7B model for an offline GPT experience is a novel addition, providing AI assistance without external dependencies or registration.

Quick Start & Requirements

• Install applications: wrk install <app-name> (e.g., wrk install openvscode).
• Run a workspace: docker run --name space-1 -d -p 8020-8040:8020-8040 --restart=always alnoda/alnoda-workspace
• Prerequisites: Docker.
• Documentation: Getting Started Guide

Highlighted Details

• Offers an offline, self-hosted ChatGPT experience using the Vicuna 7B model.
• Supports sharing of workspace applications with colleagues via internet access.
• Provides Docker Compose and Kubernetes Helm charts for cloud self-hosting.
• Allows customization of workspaces with a wide range of applications from Alnoda Hub.

Maintenance & Community

The project appears to be maintained by a single author, bluxmit. Community interaction channels are not explicitly mentioned in the README.

Licensing & Compatibility

The project's licensing is not specified in the README.

Limitations & Caveats

The offline GPT feature is experimental and currently only supported in alnoda-workspace v.2. The GPT model is based on Vicuna 7B and is restricted to personal use.