GH Repository · 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.
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python/uvmemoryagentic-aimakedockerfastapi-templatelangchainfastapilangchain-pythonlanggraphlanggraph-pythonagentexamplepythonllmPython
A FastAPI project template for building AI agent services with LangGraph integration, written in Python and managed with uv. It ships with Docker support, Make targets, and AI assistant config files (AGENTS.md, CLAUDE.md, Cursor rules) to help you scaffold and maintain agent-backed APIs.
You want a ready-made, MIT-licensed starting point that wires FastAPI, LangGraph, and Docker together instead of assembling them yourself.
Use it to
- Scaffold a new FastAPI AI agent service
- Serve LangGraph-based agent workflows behind an HTTP API
- Containerize an LLM agent application with Docker
- Standardize a repo with AI coding assistant rules
- Learn an example production layout for LangGraph apps
For Python developers building LLM agent services
- Role
- example
- Language
- Python
- Licence
- MIT
- Forks
- 629
- Open issues
- 6
- Last push
- 2026-08-16
topicsfastapilanggraphlangchainllmagentdocker