vstorm-co/full-stack-ai-agent-template

Full-stack AI app generator — FastAPI + Next.js with AI Agents, RAG, streaming, auth, and 20+ integrations out of the box.

What it solves

It eliminates the repetitive boilerplate required to build production-ready AI applications. Instead of manually setting up authentication, database schemas, RAG pipelines, and frontend chat interfaces, developers can use this generator to scaffold a complete full-stack environment with enterprise-grade integrations already configured.

How it works

The project provides a CLI tool (fastapi-fullstack) and a web configurator that generates a customized project structure. It combines a FastAPI backend with a Next.js 15 frontend, utilizing WebSockets for real-time streaming. The generated app includes a modular agent runtime supporting multiple frameworks (like PydanticAI and LangGraph) and a RAG pipeline compatible with various vector databases (such as Milvus and Qdrant). It uses Docker and Makefiles to automate the deployment of infrastructure like PostgreSQL and Redis.

Who it’s for

Developers and entrepreneurs who want to move from an AI prototype to a production-ready SaaS or enterprise application quickly without building the core infrastructure from scratch.

Highlights

  • Multi-Framework Support: Compatible with PydanticAI, PydanticDeep, LangChain, LangGraph, and DeepAgents.
  • Enterprise Features: Built-in JWT/OAuth authentication, admin panels, team/workspace management, and Stripe billing integration.
  • Advanced AI UI: Real-time streaming chat with support for tool-call cards, live task checklists, reasoning views, and inline charts.
  • Flexible RAG: Integrated pipeline supporting Milvus, Qdrant, pgvector, and ChromaDB.
  • Production Tooling: Includes Docker, Kubernetes configurations, Celery for background tasks, and a Django-style CLI for project management.