Skip to content

Official documentation for building tools on the Vectoryon AI automation platform

License

Unknown, Unknown licenses found

Licenses found

Unknown
LICENCE
Unknown
LICENSE-EXPLAINED.md
Notifications You must be signed in to change notification settings

vectoryon/platform-docs

Folders and files

NameName
Last commit message
Last commit date

Latest commit

Β 

History

5 Commits
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 

Repository files navigation

Vectoryon Platform Documentation

Build the Future of AI Automation for SMBs

Official documentation for developing tools on the Vectoryon platform

What is Vectoryon? β€’ Quick Start β€’ Documentation β€’ Tech Stack β€’ License


πŸš€ What is Vectoryon?

Vectoryon is a tool-agnostic, multi-tenant AI automation platform designed for small and medium-sized businesses (SMBs) in Switzerland and beyond. Build your own AI-powered tools, leverage our APIs, and become part of the developer ecosystem.

✨ Key Features

  • πŸ”§ Tool-Agnostic Platform: Develop unlimited tools with our plugin system
  • πŸ‘₯ Multi-Tenant Architecture: Built-in tenant isolation with Row Level Security (RLS)
  • ☁️ Cloud-Native: Auto-scaling with Azure Container Apps
  • πŸ” Enterprise Security: OAuth 2.0, JWT tokens, encryption at rest
  • πŸ”„ Workflow Builder: Visual workflow builder for tool orchestration
  • πŸ“Š Open APIs: REST + GraphQL APIs for seamless integration

🏁 Quick Start

Prerequisites

  • Node.js 20+
  • Docker Desktop
  • Git

Get Started in 5 Minutes

# Clone this repository
git clone https://github.com/vectoryon/platform-docs.git
cd platform-docs

# Explore examples
cd examples/minimal-tool

# Follow the guide
cat README.md

πŸ‘‰ Full Getting Started Guide (coming soon)


πŸ“š Documentation

For Developers

  • Getting Started - Your first tool in 10 minutes (coming soon)
  • Tool Development SDK - Build powerful tools (coming soon)
  • API Documentation - REST and GraphQL APIs (coming soon)
  • Workflow Builder - Visual workflow orchestration (coming soon)

Architecture & Design

  • Platform Overview - High-level architecture (coming soon)
  • Multi-Tenant System - Tenant isolation and security (coming soon)
  • Tool-Agnostic Design - Plugin architecture (coming soon)
  • Security Model - RLS, authentication, encryption (coming soon)

Deployment

  • Local Development - Docker-based dev environment (coming soon)
  • Production Deployment - Azure Container Apps (coming soon)

πŸ› οΈ Technology Stack

Technology Purpose Why We Use It
Next.js 15 Frontend Framework App Router, Server Components, TypeScript support
Supabase Database + Auth PostgreSQL with RLS, real-time subscriptions
Azure Container Apps Cloud Hosting Auto-scaling, zero-downtime deployments
TypeScript Type Safety Catch errors at compile time, better DX
REST + GraphQL API Layer Flexible integration options

🌟 Example Tools

πŸ“§ Email Context Tool

AI-powered email intelligence with workflow automation for Swiss SMBs.

Features: Email parsing, AI context analysis, automated responses, SharePoint integration

πŸ” Deep Research Tool

Automated research and document analysis for business intelligence.

Features: Web scraping, document parsing, AI summarization, knowledge graphs

πŸš€ Build Your Own

Start with our minimal tool template and add your own features (coming soon)


πŸ—οΈ Architecture Highlights

Multi-Tenant by Design

Every database table includes tenant_id with automatic Row Level Security (RLS) enforcement.

// Automatic tenant isolation
const { data } = await supabase
  .from('workflows')
  .select('*')
  // tenant_id automatically filtered by RLS

Tool-Agnostic Platform

Build any tool - email, documents, calendar, CRM, analytics - using the same infrastructure.

// Register your tool
const tool = {
  id: 'my_amazing_tool',
  name: 'My Amazing Tool',
  capabilities: ['workflows', 'api', 'ui'],
  endpoints: {
    main: '/api/tools/my_amazing_tool'
  }
};

Cloud-Native Scaling

Automatically scales from 1 to 100+ instances based on load.

# Azure Container Apps configuration
replicas:
  min: 1
  max: 10
resources:
  cpu: 1.0
  memory: 2.0Gi

πŸ“œ License

This project is licensed under the Business Source License 1.1 (BSL).

What This Means

βœ… You CAN:

  • Build commercial tools on the platform
  • Use for internal business purposes
  • Modify and adapt the documentation
  • View and study all source code

❌ You CANNOT:

  • Offer Vectoryon as a competing commercial service
  • Resell the platform itself
  • Create a competing AI automation platform

πŸ”„ After December 2, 2029: Automatically converts to Apache 2.0 (fully open source)

Full License β†’ β€’ License Explained (coming soon)


πŸ’Ό Developer Ecosystem

Benefits for Developers

  • πŸš€ Schneller Start: Production-ready platform, zero infrastructure setup
  • πŸ’° Revenue Share: Earn from your tools in the marketplace (coming 2026)
  • 🎯 Direct Support: Access to core team for technical guidance
  • πŸ“š Comprehensive Docs: Everything you need to build successfully
  • 🌍 Swiss Market: Direct access to 600,000+ Swiss SMBs

Join the Community


πŸ“ž Contact & Support

Developer Relations

Commercial Inquiries

For commercial licensing or partnership opportunities:


🏒 About Kinnovations & Associates

Vectoryon is developed by Kinnovations & Associates, a Swiss technology consultancy specializing in AI automation for SMBs. Based in Switzerland, we're passionate about making enterprise-grade AI accessible to small and medium businesses.

Learn more: kinnovations.ch


⭐ Star This Repository

If you find Vectoryon useful, please consider starring this repository to show your support and help others discover the platform!


Made with ❀️ in Switzerland πŸ‡¨πŸ‡­

Vectoryon Platform β€’ Documentation Repository β€’ Β© 2025 Kinnovations & Associates

About

Official documentation for building tools on the Vectoryon AI automation platform

Topics

Resources

License

Unknown, Unknown licenses found

Licenses found

Unknown
LICENCE
Unknown
LICENSE-EXPLAINED.md

Contributing

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published