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一分鐘完成驗證Proxmox VE Helper-Scripts (Heretek Upstream)
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取自儲存庫 README
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檢視完整 README ↗Experimental AI/ML and specialized scripts for Proxmox VE
Originally created by tteck, maintained by the community, extended by hereteks
"The Omnissiah guides our scripts, but innovation demands we venture beyond established doctrine."
While the orthodox community-scripts/ProxmoxVE maintains the sacred canon of stable, community-vetted scripts, this Heretek repository serves as a forge for experimental and specialized tools that may one day prove worthy of the main temple.
What makes this a Heretek forge:
This fork maintains synchronization with community-scripts/ProxmoxVE while adding experimental scripts that may not yet meet the stability requirements for upstream inclusion. See how this fork works.
| Aspect | Orthodox (Upstream) | Heretek (This Fork) |
|---|---|---|
| Stability | Production-ready | Experimental/Bleeding-edge |
| Focus | Broad community needs | AI/ML & specialized tools |
| Release Cycle | Stable & tested | Rapid iteration |
| Best For | General users | Early adopters |
Scripts that prove stable and gain community interest may be submitted upstream to join the orthodox canon.
These scripts are exclusive to this forge, focusing on AI/ML workloads and specialized applications:
| Script | Description | Resources |
|---|---|---|
| Hermes | Nous Research Hermes AI Agent (with Docker & CUA support) | 4 CPU / 8GB RAM |
| MCPHub | Model Context Protocol Hub for AI tooling integration | 2 CPU / 2GB RAM |
| Strata | Inference engine for Qwen3.8-Flash-Next with a Strix Halo HIP engine, OpenAI-compatible API | 8 CPU / 64GB RAM + Strix Halo GPU |
| GSQHalo.cpp | llama.cpp fork for GSQ-RCO Qwen3.8-Flash-Next on Strix Halo, own ROCm 7.14.1 | 8 CPU / 64GB RAM + Strix Halo GPU |
| SwarmUI | Stable Diffusion Swarm interface | 8 CPU / 16GB RAM + GPU |
| LlamaCPP | High-performance LLM inference engine with GPU acceleration | 4 CPU / 8GB RAM + GPU |
| Gufo | Local inference engine tuned for AMD Strix Halo, OpenAI-compatible API | 8 CPU / 32GB RAM + Strix Halo GPU |
| Kyojin | ExLlamaV3-based engine for Strix Halo serving Yamz's EXL3 Qwen3.8, GLM-5.3 and MiMo packs, OpenAI-compatible API | 8 CPU / 120GB RAM + Strix Halo GPU |
| OpenClaw | AI-powered assistant and automation platform |
| Script | Description | Resources |
|---|---|---|
| Agregarr | Media aggregation and streaming | 2 CPU / 4GB RAM |
| Drop | Gaming and media server | 2 CPU / 4GB RAM |
Complete VM deployment scripts for various operating systems and specialized appliances:
| Script | Description |
|---|---|
| Arch Linux VM | Arch Linux virtual machine |
| Debian VM | Debian virtual machine |
| Ubuntu VM | Ubuntu LTS virtual machine |
| Script | Description |
|---|---|
| OPNsense VM | OPNsense firewall and router |
| OpenWrt VM | OpenWrt wireless router platform |
| MikroTik RouterOS VM | MikroTik RouterOS virtual router |
| Script | Description |
|---|---|
| TrueNAS VM | TrueNAS Community Edition storage server |
| Nextcloud VM | Nextcloud self-hosted cloud platform |
| ownCloud VM | ownCloud file sync and share platform |
| Umbrel OS VM | Umbrel personal server OS |
| Script | Description |
|---|---|
| Home Assistant OS VM | Home Assistant Operating System |
| Pimox HAOS VM | Home Assistant OS for Raspberry Pi (Pimox) |
| Docker VM | Docker-ready virtual machine |
⚠️ Note: Heretek scripts may require more resources or additional configuration. Check individual script documentation for requirements.
Choose your preferred installation method:
The fastest way to get started:
For Heretek scripts, use the Heretek-AI repository:
# Example: Install MCPHub
bash -c "$(curl -fsSL https://raw.githubusercontent.com/Heretek-AI/ProxmoxVE/main/ct/mcphub.sh)"
Install a convenient script manager directly in your Proxmox UI:
bash -c "$(curl -fsSL https://raw.githubusercontent.com/Heretek-AI/ProxmoxVE/main/ct/pve-scripts-local.sh)"
This adds a menu to your Proxmox interface for easy script access without visiting the website.
📖 Learn more: ProxmoxVE-Local Repository
👉 Check our Contributing Guidelines to get started
This project is maintained by volunteers in memory of tteck. Your support helps us maintain infrastructure, improve documentation, and give back to important causes.
🎗️ 30% of all donations go directly to cancer research and hospice care
This project is licensed under the MIT License — feel free to use, modify, and distribute.
| 2 CPU / 4GB RAM |