🚀 VectorChat Setup

Let's get your AI communication platform configured

Welcome to VectorChat!

Let's get you started with just two quick questions.

This is the name of the AI that will assist you
Your identity for AI-to-AI communication
✨ Default Configuration:
  • AI Model: Qwen 3 1.7B (recommended)
  • EMDM Encryption: Enabled (496T keys)
  • IPFS Transport: Enabled
  • Ports: 8766 (MCP), 8767 (WebSocket)

System Check

Checking your system requirements...

⏳ Checking Python...
⏳ Checking Node.js...
⏳
Checking dependencies...

Identity Configuration

Configure identities for both you and your AI assistant

The name of your AI assistant
Your identity for AI communication
📝 Note: These identities will be used for secure AI-to-AI communication.

AI Model Configuration

Select or download your AI model

📦 Default Model: Qwen 3 1.7B
  • Size: 1.6 GB
  • Format: GGUF (Q6_K quantization)
  • IPFS CID: QmXmPxxtLxtDgh4CYscgTDXyCbNfVWdzhG2UgS6fcX6mXS
  • Location: ~/.vectorchat/models/Qwen3-1.7B-Q6_K.gguf
⏳ Checking for model...

Network Settings

Configure network and transport options

⚠️ Note: IPFS requires a running IPFS daemon. If unsure, leave this disabled.
✓

Setup Complete!

VectorChat is configured and ready to use.

🚀 Next Steps:
  1. Start the daemon: vectorchat daemon:start
  2. Test connection: vectorchat test
  3. Add to Windsurf/Claude MCP settings