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Cover image for Stop Building AI Backends — Meet the Open-Source Vezlo AI Assistant Server
Dylan Ashford
Dylan Ashford

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Stop Building AI Backends — Meet the Open-Source Vezlo AI Assistant Server

#webdev #opensource #javascript #ai

Every developer building with LLMs eventually faces the same problem —

“How do I manage chat memory, vector search, and real-time conversation without reinventing the backend every time?”

That’s exactly what inspired Vezlo Phase 2 — introducing the Vezlo AI Assistant Server, an open-source, production-ready AI backend built for developers who want to move fast without breaking things.

🧩 What Is the Vezlo AI Assistant Server?

The Vezlo AI Assistant Server is a full-stack backend framework that helps you build, run, and scale your own AI assistants — powered by Node.js, TypeScript, and Supabase.

It gives you a plug-and-play server to handle:

  • 💬 Real-time chat with WebSockets (Socket.io)
  • 🔍 Semantic search using pgvector and Supabase
  • 🧠 Persistent conversation memory
  • ⚙️ REST APIs + WebSocket endpoints
  • 🐳 Docker support for production
  • ☁️ One-click deploy to Vercel

In short — it’s your AI backend in a box, no external dependencies or lock-ins.

⚙️ Why Developers Love It

If you’ve ever tried building an AI assistant manually, you know the pain:

  • Setting up embeddings + vector search
  • Writing chat memory logic
  • Managing OpenAI calls efficiently
  • Handling API rate limits
  • Deploying scalable infra

Vezlo solves all of this out of the box. You just install, configure your keys, and get a working assistant server running locally or on Vercel.

npx vezlo-setup
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That’s literally it.

🧱 Key Features (Built for Developers)

Feature Description
🧠 AI Brain Connect any LLM (OpenAI, Anthropic, Gemini, etc.)
🔍 Vector Search Supabase + pgvector integration for semantic search
💬 Real-Time Chat WebSocket powered assistant conversations
⚙️ REST + WebSocket APIs Easy to integrate into any frontend (React, Next.js, Vue)
🗄️ Conversation Memory Stores user sessions and chat history automatically
☁️ One-Click Deploy Deploy on Vercel or use Docker in production
🔐 TypeScript Support Fully typed for predictable, safe developer experience

🧰 Tech Stack Under the Hood

The Vezlo AI Assistant Server is built with modern developer tooling:

  • Node.js + TypeScript — core backend
  • Supabase + pgvector — vector embeddings & semantic search
  • Socket.io — real-time message streaming
  • OpenAI SDK — default LLM integration
  • Vercel + Docker — deployment and scaling

This setup means you can start small (local) and scale seamlessly to production.

🧠 How It Works (Simplified Flow)

  1. User sends a message → /chat endpoint
  2. Vezlo Server retrieves past memory + relevant context from Supabase
  3. LLM API call (OpenAI by default)
  4. Response generated and streamed back via WebSocket
  5. Conversation & embeddings are stored automatically

You get persistence, memory, and semantic understanding — all without writing custom logic.

🧪 Example Setup

Here’s how to spin up your own AI backend in minutes:

# 1. Install globally
npm install -g @vezlo/assistant-server

# 2. Initialize project
npx vezlo-setup

# 3. Add your OpenAI + Supabase keys
# 4. Start server
npm run dev
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You’re ready to chat with your assistant instantly.

🌐 Deploy in One Click

Vezlo supports instant deployment to Vercel.
Or, for production-grade control, run it in Docker with:

docker compose up
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That’s all it takes to host your own open source AI backend — no proprietary APIs, no vendor lock-in.

💡 Why We Built This

Phase 1 of Vezlo helped developers turn source code into knowledge bases.

But developers wanted more — not just documentation or embeddings, but a full backend that could chat, search, and remember.

So we built Phase 2: AI Assistant Server, giving devs the power to:

  • 🤝 Integrate AI assistants directly into SaaS apps
  • 🧑‍💻 Build custom copilots for engineering teams
  • ⚙️ Prototype AI workflows faster than ever

⚡ What’s Next

This is just the start. Upcoming updates will include:

  • 🔗 Vector adapters for Pinecone, Qdrant, and Chroma
  • 🧠 Built-in agent workflows
  • 💬 UI SDK for chat + embeddings dashboard
  • ☁️ Self-hosting setup on Render, Fly.io, and AWS

💬 Try It Today

Get started in minutes:

🔗 GitHub: https://github.com/vezlo/assistant-server

📦 npm install -g @vezlo/assistant-server

🌐 Docs: Vezlo Documentations

Your AI backend shouldn’t take weeks to build.

With Vezlo, it takes one command.

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