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

Full-stack AI app generator — FastAPI + Next.js with AI Agents, RAG, streaming, auth, and 20+ integrations out of the box. observed · 2026-08-28

github.com/vstorm-co/full-stack-ai-agent-template · homepage · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

80/100

  • Activity 96
  • Release rhythm 95
  • Longevity 18
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 3.5
  • age_days: 257
  • days_rel: 32
  • days_push: 26
  • n_releases_24m: 41

Full methodology

Adoption not part of the score

1856 stars · 358 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A production-ready full-stack project generator that scaffolds FastAPI + Next.js 15 applications with AI agents, RAG pipelines, WebSocket streaming, and authentication. It is installed as the fastapi-fullstack CLI and supports multiple agent frameworks (PydanticAI, LangChain, LangGraph, DeepAgents) with 25+ optional enterprise integrations.

Use cases

  • generate a full-stack AI chat app with FastAPI and Next.js
  • scaffold a RAG application with vector database support
  • build an AI agent backend with WebSocket streaming responses
  • start an LLM app with JWT auth and OAuth2 already wired up
  • create a production-ready AI SaaS starter with Docker configs
  • compare PydanticAI vs LangChain vs LangGraph in one template
  • bootstrap an AI assistant UI with real-time chat and task plans

When to choose

  • you want a complete, opinionated AI/LLM app skeleton in minutes rather than assembling pieces yourself
  • you need FastAPI backend plus Next.js frontend with streaming chat out of the box
  • you want built-in auth, observability, and deployment configs for a production AI product
  • you want to experiment with multiple agent frameworks and vector stores via configuration

When to avoid

  • you need a minimal library to embed in an existing codebase rather than a generated project
  • you use a stack other than FastAPI/Next.js or want a different frontend framework
  • you prefer building your own architecture without template-generated conventions
  • your project has no AI/LLM component and you just need a plain web app scaffold

Facets

learning-resource · maturity active

agent-framework rag web-framework auth websocket chat-interface developer-tools cli llm-inference monitoring artificial-intelligence large-language-models web-development backend frontend developer-tools self-hosted python cross-platform cli self-hosted project-generator fastapi nextjs pydantic-ai langchain langgraph vector-database streaming scaffolding full-stack-template jwt-authentication observability boilerplate ai-agents retrieval-augmented-generation nodejs docker web-server

2 sources

Member repositories

RepositoryRoleHealth v2
vstorm-co/full-stack-ai-agent-templatemain80

For agents

markdown · JSON · MCP: product_card(name="vstorm-co/full-stack-ai-agent-template")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem