📦 SigmaStudio-Moduli — Official Extensions & Modules Hub

Official Open-Source Repository for Σ-SIGMA Studio Modular Extensions

🇬🇧 English • 🇮🇹 Italiano • 🧬 SigmaStudio Kernel

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🌟 Overview

Welcome to the official modules catalog for Σ-SIGMA Studio.

Sigma Studio is built around a lightweight Micro-Kernel architecture. All specialized tools, generative labs, hardware telemetry, and advanced multi-agent workspaces are maintained in this repository as standalone, isolated modules.

Each module can be installed, uninstalled, or updated with 1-click directly from the Marketplace & Extensions Hub inside Sigma Studio, without restarting the server.

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📂 Official Module Directory

Module ID	Module Name	Category	Size	Key Capabilities & Highlights
sigma_creative_lab	Creative Lab 3D/2D	Multimodal & Graphics	~2 MB	FLUX.1 & SDXL Text-to-Image, Img2Img, SAM2/rembg background removal, Hunyuan3D/TripoSR 3D generation, PBR materials, Blender headless rendering, Wan2.1 video generation, DAG node editor, Creative MCP server.
sigma_training_lab	Training Lab & SLM Forge	LLM Training & SLM	~6 MB	Unsloth QLoRA, PEFT, Gradus Functional Weight Engine (FWE), Autopilot hyperparameter optimization, GGUF quantization, MMLU/GSM8K/HumanEval automated benchmarks.
sigma_voice_studio	Voice Studio & Speech Lab	Neural Voice & Audio	~3 MB	Kokoro 82M ultra-fast TTS, Coqui XTTS-v2 zero-shot voice cloning, pitch/speed tuning, live waveform visualizer, voice presets, Voice MCP server.
sigma_hardware_lab	Hardware & GPU Telemetry	System & VRAM	~1 MB	Live VRAM and RAM allocation telemetry, GPU/CPU load charts, CUDA process monitor, zombie task termination, Ollama daemon restart.
sigma_research_lab	Pipelines Lab & Swarm	Research & Automation	~1 MB	Visual DAG pipeline designer, multi-agent automated research sessions, execution tree inspector.
sigma_knowledge	Argomenti & Knowledge Graph	Knowledge & Memory	~2 MB	D3 force-directed interactive relational graph, Universal Knowledge Nodes explorer, episodic memory broker, Memory MCP server.
sigma_roadmap	Roadmap & Task Kanban	Productivity & Tasks	~1 MB	Interactive Activity Calendar, drag-and-drop Kanban task board, chronological audit trail, floating milestone tracker.
sigma_domotica	Smart Home Assistant	IoT & Home Automation	~1 MB	Native Home Assistant WebSocket/REST bridge, smart device discovery, automated routine triggers, climate and lighting controls.

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🏗️ Module Architecture Specification

Every module in modules/<module_id>/ is completely self-contained with strict separation between frontend, backend, test suites, and metadata:

modules/sigma_<module_name>/
├── manifest.json            # Module metadata, permissions, routes, and entrypoints
├── requirements.txt         # Module-specific Python dependencies
├── README.md                # Module documentation and usage guide
├── frontend/                # React components and styling (isolated from kernel)
│   ├── index.jsx            # Module root entrypoint exported to Sigma Studio
│   └── styles/              # Dedicated CSS rules
├── backend/                 # Python routes and MCP server implementations
│   ├── __init__.py
│   ├── handlers.py          # FastAPI route registration & hot-injection
│   └── mcp_server.py        # Optional Model Context Protocol server
└── tests/                   # Isolated test suite for automated CI/CD verification

Manifest Schema (manifest.json)

{
  "id": "sigma_example_module",
  "name": "Example Module Name",
  "version": "v1.0.0",
  "category": "Category Name",
  "tabType": "example_tab",
  "sidebarLabel": "Example Module",
  "sidebarIcon": "Sparkles",
  "description": "Comprehensive description of module capabilities.",
  "author": "Sigma Core Team",
  "repository": "https://github.com/Sigmanih/SigmaStudio-Moduli",
  "branch": "main",
  "path": "modules/sigma_example_module",
  "tags": ["AI", "FastAPI", "React"],
  "frontend": {
    "entrypoint": "frontend/index.jsx",
    "styles": ["frontend/styles/example.css"]
  },
  "backend": {
    "handlers_module": "core.modules.sigma_example_module.backend.handlers",
    "mcp_server_module": "core.modules.sigma_example_module.backend.mcp_server",
    "routes_prefix": "/api/example"
  },
  "requirements": "requirements.txt"
}

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🛠️ How to Develop a New Module

1. Create Directory: Create modules/sigma_<your_module>/ following the structure above.
2. Define Manifest: Write manifest.json describing your tab, sidebar icon, and routes.
3. Build Frontend: Implement your React component in frontend/ and export it in frontend/index.jsx.
4. Implement Backend: Create backend/handlers.py with register_routes(app) and optional register_mcp(mcp_hub).
5. Add Tests: Write Pytest test cases in tests/.
6. Submit a PR: Open a Pull Request to this repository. Once approved, the module becomes instantly discoverable by all Sigma Studio users worldwide.

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📄 License

• License: MIT License — free for personal, academic, and commercial use.
• Main Repository: Sigmanih/SigmaStudio
• Author: Sigma Core Team