# 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.

Repository: https://github.com/vstorm-co/full-stack-ai-agent-template
Canonical: https://ross.abutalabs.com/products/full-stack-ai-agent-template
Homepage: https://vstorm-co.github.io/full-stack-ai-agent-template/
Language: Python
License: MIT
License Family: permissive
Topics: python, ai-agents, docker, fastapi, llm, nextjs, postgresql, pydantic-ai, react, typescript, full-stack, langchain, langgraph, rag, agent-framework, crewai, pydantic-deep, websocket, ai-agent-template, vstorm
Last push: 2026-08-07T04:07:30+00:00

## Health v2 (maintenance only)
Score: 80/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 96, release rhythm 95, longevity 18
- inputs: {"age_days": 257, "days_push": 26, "days_rel": 32, "gap_med": 3.5, "n_releases_24m": 41}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1856, forks 358 (observed 2026-08-28T04:05:44.935368+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: active
- function: agent-framework, rag, web-framework, auth, websocket, chat-interface, developer-tools, cli, llm-inference, monitoring
- domain: artificial-intelligence, large-language-models, web-development, backend, frontend, developer-tools, self-hosted
- platform: python, cross-platform, cli, self-hosted
- tags: 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

## Member repositories
- vstorm-co/full-stack-ai-agent-template (main) score 80

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:44.935368+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T08:32:16.777744+00:00, confidence not recorded.
  - readme: https://github.com/vstorm-co/full-stack-ai-agent-template (fetched 2026-08-28T04:05:44.935368+00:00, sha afb84bc59653)
  - homepage: https://vstorm-co.github.io/full-stack-ai-agent-template/ (fetched 2026-08-29T10:55:45.388508+00:00, sha 7db600d9d68e)
- Data as of 2026-08-30T08:39:29.467469+00:00.