fastapi-langgraph-agent-production-ready-template
A production-ready FastAPI template for building AI agent applications, integrated with LangGraph.
- Region
- Overseas
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 2.4k
- Source
- GitHub
- Added
- 2026-06-07
- Last verified
- 2026-06-07
Overview
This is a production-ready FastAPI template for building AI agent applications, integrated with LangGraph. It addresses common challenges when developing scalable, secure, and maintainable AI agent services—such as stateful conversations, long-term memory, tool calling, observability, rate limiting, and authentication. Ideal for AI engineers who want to focus on agent logic without having to build the underlying infrastructure from scratch.
Key features
- ▪Stateful agents powered by LangGraph
- ▪Support for long-term memory and semantic search
- ▪LLM services with retry mechanisms and timeout budgets
- ▪JWT authentication and rate limiting
- ▪Structured logging
Use cases
Pros
- ＋Provides a complete backend solution
- ＋Easy to configure and deploy
- ＋Includes multiple practical features out of the box
- ＋Supports Docker for quick startup
Limitations / notes
- －Requires some Python knowledge
- －May not be beginner-friendly
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
What is this template?
A production-grade template for building AI agent backends using FastAPI + LangGraph.
How is this different from a basic LangGraph setup?
It includes database migrations, long-term memory, and other features making it more suitable for production environments.
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