full-stack-ai-agent-template

Project generator for FastAPI and Next.js apps with agents and RAG

Stars: 1.9k
License: MIT
Last commit: Oct 2026
Last release: Oct 2026
Language: Python

Overview

CLI (pip install fastapi-fullstack) scaffolding a FastAPI backend and Next.js frontend via a wizard or presets, with Pydantic AI, Pydantic Deep Agents, LangChain, LangGraph or DeepAgents, RAG on Milvus, Qdrant, pgvector or Chroma, WebSocket chat, JWT, OAuth, admin, teams, Stripe billing, Celery, Docker and K8s. make bootstrap starts Postgres, migrations and a seeded admin; projects can pull template upgrades later.

Who it is for: Python teams scaffolding a full-stack agent product

Strengths

Wizard and presets pick framework, vector store, auth and billing per project
Template upgrades merge into generated projects on a branch
Chat UI renders tool calls, plans, subagents, charts and Python execution
100% coverage badge and CI on the generator

Weaknesses

Generator, not a repo to fork; output size depends on options chosen
Seeds admin@example.com with a fixed password; rotate before exposing
Optional services (Milvus, Redis, Celery) raise the local footprint
Windows needs GNU Make or WSL2

What it needs

Python, Pydantic AI, Pydantic Deep Agents, LangChain, LangGraph
Needs PostgreSQL, Redis (optional), Milvus, Qdrant, pgvector or ChromaDB (RAG), Stripe (billing), LLM provider API key

Also in AI API backends

See all 6

Also in AI API backends
Rank	Project	Score
1	agent-service-toolkitLangGraph agents served by FastAPI with a Streamlit chat client Live demo ↗ (opens in a new tab)4.5k stars, MIT	70 out of 100
2	fastapi-langgraph-agent-production-ready-templateFastAPI service for a LangGraph agent with auth, memory and tracing2.7k stars, MIT	55 out of 100
#4	generative-ai-project-templateuv workspace with FastAPI, NiceGUI, LiteLLM and Promptfoo evals118 stars, MIT	51 out of 100
#5	nodejs-api-boilerplateExpress TypeScript CRUD API template with an LLM module generator163 stars, MIT	31 out of 100
#6	genai-apiHono API on Cloudflare Workers proxying Gemini with bearer auth111 stars, Apache-2.0	28 out of 100

How to choose

Check auth, rate limiting and tracing; these are what separate a template from a demo.
Prefer templates with Docker and tests if the service will run in production.
Make sure the model layer is swappable (LiteLLM, provider adapters) if you expect to change vendors.

For maintainers

Show this rank in your README. It updates twice a day.

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