- llama.cpp for local LLM experimentation

- Weaviate vector database for RAG + embeddings. Swarm replicas stability tested: no crash loops. HTTP layer: /v1/schema, /v1/nodes, and GraphQL respond correctly. Raft/cluster layer: /v1/nodes reports healthy node. Persistence: created class and inserted object successfully. Query engine: GraphQL returned inserted object.

- Pre‑configured environment for AI tools, prototypes, modern workflows, optimal future‑proof and production‑ready.

- Node.js

- Express.js backend the “brain” of the system, Express server the orchestrator

- Next.js

- React and React Native (ready for connect to Android SDK) Cross‑platform

- TailwindCSS

- HeroUI

- Storybook for testing, and documenting frontend UI components libraries

- MongoDB, and MySQL (fully configured)

- VS Code with curated extensions

- Unit testing environment ready

- Postman installed

- All Dockerfiles included and tested

- MicroK8s automation scripts

- Docker Swarm mode

- Cluster creation & teardown scripts

- Reproducible, battle‑tested workflows

- Cross-platform, compiled language Go to create high‑performance apps, such as: Docker, Kubernetes, Grafana.

- One of the best GUI toolkits for Go (Golang), Fyne to create cross‑platform applications on Windows, macOS, Linux, Android, iOS, PLC, Embedded / IoT Controller and Ground Control Station (GCS) for drone. Desktop apps can be used where web apps cannot perform a task reliably.

- Test types are set up and ready to run: Unit tests, Fuzz tests, Benchmark tests.

- Ubuntu VM running on VMware

- Version 3.0.3

- VM image file (over 54 GB), can be downloaded

- Boot → Build → Deploy → Run AI models

- Zero setup. Zero dependency hell.

- Full‑stack developers

- AI learners, AI builders

- DevOps engineers

- Students, colleges and schools

- Recently laid‑off engineers reskilling for US/Canada markets

- Software company, small teams needing a standardized dev environment

If you’ve ever wanted a clean, modern, AI‑ready dev machine without spending days configuring everything, stAI will save you a ton of time.

Launch promo: 50% off (limited time)

Getting started with stAI takes just a few minutes. Everything is pre‑configured, so you can go from download to coding instantly.

Download VMware Workstation 17 Pro, and install it on your laptop.

Visit our online shop

to buy. After your payment, download the stAI VM image (a large ZIP file).

Unzip it into any folder you prefer — for example (C:/vm)

Open VMware Workstation

Click Open a Virtual Machine

Select the vmx file from the unzipped stAI folder (e.g., C:/vm/stAI)

Press Power on this virtual machine

The VM will boot, and you’ll immediately see your full development environment — files, tools, VS Code, everything ready to go.

For more detail please refer Developer guide

You can start coding right away and have fun building. The Docker containers will be up running, or you can use the Linux script files to start. You now have 2 monorepo: Node JS, and Go monorepo.

A purchase is required to download the Virtual Machine.

However, if you are a college student or are currently experiencing financial difficulty, please contact us — you may qualify for a free download of stAI.