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
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
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
- readme: https://github.com/vstorm-co/full-stack-ai-agent-template · fetched 2026-08-28 · afb84bc59653
- homepage: https://vstorm-co.github.io/full-stack-ai-agent-template/ · fetched 2026-08-29 · 7db600d9d68e
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| vstorm-co/full-stack-ai-agent-template | main | 80 |
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