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full-stack-fastapi-template vs agent-service-toolkit

Two of the top projects in Backend and cloud templates, side by side: who leads on each score part and who each one suits, then setup, license, activity and what each review found.

11st of 16 in Backend and cloud templates

full-stack-fastapi-template

FastAPI and React starter with JWT auth, PostgreSQL and a generated API client

74 out of 100 GitHub ↗ (opens in a new tab)
22nd of 16 in Backend and cloud templates

agent-service-toolkit

LangGraph agents served by FastAPI with a Streamlit chat client

66 out of 100 Live demo ↗ (opens in a new tab) GitHub ↗ (opens in a new tab)

Verdict

full-stack-fastapi-template ranks higher, 74 to 66. Of the 5 score parts we measure for both, full-stack-fastapi-template leads on 2, agent-service-toolkit on 2 and 1 is even.

  • Adoptionfull-stack-fastapi-template leads by 33 points, 95 to 62: a wide gap.
  • FreshnessEven at 100.
  • Maintenancefull-stack-fastapi-template leads by 38 points, 100 to 62: a wide gap.
  • Easy to runagent-service-toolkit leads by 17 points, 50 to 33: a wide gap.
  • Agent-readyagent-service-toolkit leads by 40 points, 55 to 15: a wide gap.

Pick full-stack-fastapi-template if you are

Python developers starting a FastAPI and React web app

  • Auto-generated frontend client for the FastAPI API
  • Pytest backend tests and Playwright end-to-end tests, with GitHub Actions CI/CD

Pick agent-service-toolkit if you are

Python teams serving LangGraph agents over an API

  • AG-UI endpoint for CopilotKit-style frontends alongside the REST API
  • docker compose watch runs Postgres, API and Streamlit with live reload
full-stack-fastapi-template vs agent-service-toolkit: score parts and facts
What we comparefull-stack-fastapi-templateagent-service-toolkit
Score parts, out of 100
Adoption95, widely used62, popular
Freshness100, active100, active
Maintenance100, healthy62, fair
Easy to run33, some setup50, easy
Agent-ready15, none55, partly
Facts from GitHub and the README
Stars46.1k4.5k
LicenseMIT (permissive)MIT (permissive)
Last commitOct 2026Oct 2026
Last releaseAug 2026None published
LanguageTypeScriptPython
DockerYesYes
GPUNot neededNot needed
arm64 or Apple SiliconNot statedNot stated

full-stack-fastapi-template

A GitHub template for a full-stack web app: a FastAPI backend using SQLModel and PostgreSQL, and a React/TypeScript frontend built with Vite, Tailwind CSS and shadcn/ui. The frontend is built into the backend and served on the same domain as the API. It includes JWT login, email password recovery, and Docker Compose with Traefik for self-hosting. It has no AI features built in.

Who it is for: Python developers starting a FastAPI and React web app

Strengths

  • Auto-generated frontend client for the FastAPI API
  • Pytest backend tests and Playwright end-to-end tests, with GitHub Actions CI/CD
  • Docker Compose with Traefik gives automatic HTTPS for self-hosting
  • Mailpit for local email testing and React Email templates

Weaknesses

  • No AI or model integration; it is a generic app scaffold
  • No billing or payments wired in
  • Authentication is JWT with email recovery only; no OAuth or social login listed
  • PostgreSQL only; other databases are not mentioned
  • TypeScript
  • Needs PostgreSQL, Docker Compose, Traefik, Mailpit
  • GitHub template
  • ⚠️ .env file committed
Repository on GitHub ↗ (opens in a new tab)

agent-service-toolkit

Python service where LangGraph v1 agents (interrupt, Command, Store) are served by FastAPI with streaming and non-streaming endpoints, AG-UI support, per-agent URL paths, /threads history and a Postgres checkpointer via docker compose. Includes an AgentClient, a Streamlit chat UI with voice, LangSmith feedback, Groq moderation, a ChromaDB RAG agent, unit, integration and smoke tests. Needs at least one LLM API key.

Who it is for: Python teams serving LangGraph agents over an API

Strengths

  • AG-UI endpoint for CopilotKit-style frontends alongside the REST API
  • docker compose watch runs Postgres, API and Streamlit with live reload
  • Unit and integration tests plus smoke tests for Postgres, Mongo, AG-UI and Langfuse
  • Hosted demo on Streamlit Cloud

Weaknesses

  • Solo maintainer; issues triaged roughly biweekly
  • Streamlit client is a demo UI, not a product frontend
  • Content moderation needs a Groq API key
  • Tests only run outside Docker
  • Python, LangChain providers: OpenAI, Anthropic, Google, Ollama, VertexAI, vLLM/SGLang, AG-UI protocol
  • Needs LLM API key (OpenAI, Anthropic, Google, Groq, Ollama or others), PostgreSQL (compose), LangSmith (optional), ChromaDB (RAG agent)
  • GitHub template
  • Docker
  • env example file
Live demo ↗ (opens in a new tab)Repository on GitHub ↗ (opens in a new tab)

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