Vector AI Command Center

Your Autonomous Digital C-Suite.

Vector is a multi-agent SaaS platform designed to act as your enterprise AI executive council. Whether you need startup ideation, zero-trust cloud architecture, fintech modeling, or viral go-to-market strategies, Vector puts a full AI C-suite at your fingertips, allowing you to build entire startups in seconds.

Built with a lightning-fast Next.js 16 frontend, powered by Google Gemini 2.5 Flash, and natively integrated with InsForge PostgreSQL for persistent memory.

• 🧠 Prism (Lead Architect): The master orchestrator. Prism analyzes your requests, delegates tasks, and synthesizes the outputs of the council.
• 💼 Atlas (CEO): Focuses on business strategy, seed-round pitch decks, startup valuation, and enterprise sales motions.
• 💻 Nexus (CTO): Architects zero-trust cloud infrastructure, telemetry pipelines, and scalable database schemas.
• 📢 Vanguard (Marketing): Designs cinematic brand positioning, influencer outreach, and viral gamified engagement loops.
• 📈 Ledger (Finance): Builds fintech monetization models, Stripe subscription architectures, and cloud cost optimization plans.

• Instantaneous Cinematic UI: A premium, glassmorphism dashboard featuring highly reactive agent status cards, buttery-smooth Framer Motion staggered animations, and zero-latency document rendering.
• Autonomous Project Architecting: The AI automatically generates crisp, contextual titles (e.g., "Retro TV SaaS") and builds massive, production-ready markdown documents (Executive Summaries, Architecture Specs, GTM Plans) seamlessly stored in the database.
• Agent-Native Memory (InsForge): Natively integrated with InsForge PostgreSQL utilizing pgvector. Chat histories, massive project hierarchies, and contextual embeddings are permanently saved across sessions.
• Zero-Trust Data Scrubbing: Built for enterprise. Strict context routing ensures that the Finance agent doesn't overwrite the CTO's architecture notes.

Frontend & Orchestration Engine

• Framework: Next.js 16 (App Router, Turbopack)
• Styling: Tailwind CSS, Framer Motion, Cinematic UI Tokens
• AI Engine: Google Gemini 2.5 Flash (@google/generative-ai)
• Database & Memory: InsForge PostgreSQL (pgvector for RAG)
• Deployment: Vercel

Built to be completely serverless.

• Node.js 18+
• PostgreSQL Database (via InsForge or Supabase)
• Google Gemini API Key

Clone the repository and install the Next.js dependencies:

git clone https://github.com/a-sweet-debug/the-vector.git
cd the-vector
npm install

Create a .env.local file in the root directory. Never commit this file to version control:

# Database connection for Project & Chat Memory
POSTGRES_URL="postgresql://<user>:<password>@<host>:<port>/<db>?sslmode=require"

# Gemini AI Integration
GEMINI_API_KEY="<YOUR_GEMINI_API_KEY>"

Start the Next.js development server:

npm run dev

Visit http://localhost:3000 and enter the Board Room to initialize your first project!

The platform is completely serverless and fully optimized for zero-configuration Vercel deployment.

1. Push your code to a GitHub repository (ensure .env.local is listed in your .gitignore).
2. Go to your Vercel Dashboard and click Add New... > Project.
3. Import your GitHub repository.
4. Leave the Root Directory completely blank (./). Vercel will automatically detect the Next.js application at the root.
5. Add your Environment Variables (POSTGRES_URL and GEMINI_API_KEY).
6. Click Deploy!

This project is licensed under the MIT License - see the LICENSE file for details.