# wassim249/fastapi-langgraph-agent-production-ready-template

A production-ready FastAPI template for building AI agent applications with LangGraph integration. This template provides a robust foundation for building scalable, secure, and maintainable AI agent services.

Repository: https://github.com/wassim249/fastapi-langgraph-agent-production-ready-template
Canonical: https://ross.abutalabs.com/products/fastapi-langgraph-agent-production-ready-template
Language: Python
License: MIT
License Family: permissive
Topics: agent, agentic-ai, docker, fastapi, fastapi-template, langchain, langchain-python, langgraph, langgraph-python, llm, memory
Last push: 2026-08-16T17:35:22+00:00

## Health v2 (maintenance only)
Score: 64/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 98, release rhythm 35, longevity 36
- inputs: {"age_days": 513, "days_push": 17, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2614, forks 615 (observed 2026-08-28T04:07:04.552068+00:00)

## What it is
A production-ready FastAPI template for building AI agent backends with LangGraph integration. It provides stateful conversations, long-term memory, tool calling, auth, rate limiting, and observability out of the box.

## Use cases
- build a production AI agent backend
- scaffold a FastAPI service with LangGraph agents
- add long-term memory to a chatbot API
- deploy an LLM agent service with Docker
- add auth and rate limiting to an agent API
- start an agentic application with tool calling

## When to choose
- you want a solid, opinionated foundation for a FastAPI + LangGraph agent service rather than starting from scratch
- you need production concerns like auth, rate limiting, memory, and observability handled upfront

## When to avoid
- you need a frontend or chat UI - this is a backend template only
- you use a different web framework or agent orchestration library than FastAPI/LangGraph
- you want a minimal example rather than a full production scaffold

## Facets
- artifact type: framework
- maturity: active
- function: web-framework, agent-framework, llm-inference, auth, rate-limiting, monitoring, chatbot
- domain: large-language-models, web-development, backend, developer-tools
- platform: python, self-hosted
- tags: fastapi, langgraph, langchain, template, boilerplate, production-ready, tool-calling, long-term-memory, observability, ai-agents, docker, web-server

## Member repositories
- wassim249/fastapi-langgraph-agent-production-ready-template (main) score 64

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:04.552068+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 2026-08-30T02:20:37.622465+00:00, confidence not recorded.
  - readme: https://github.com/wassim249/fastapi-langgraph-agent-production-ready-template (fetched 2026-08-28T04:07:04.552068+00:00, sha 67d83b87ec35)
- Data as of 2026-08-30T08:39:29.467469+00:00.