Stop building AI Agents from scratch: I open-sourced my production FastAPI + LangChain stack

# python# ai# opensource# backend
Stop building AI Agents from scratch: I open-sourced my production FastAPI + LangChain stackThe-AppLab

I got tired of manually wiring the exact same backend infrastructure every single time I needed an...

I got tired of manually wiring the exact same backend infrastructure every single time I needed an autonomous AI workflow.

To solve that, I packaged my core production architecture into an open-source, asynchronous FastAPI + LangChain starter boilerplate designed for enterprise automation and B2B agents.

Pre-Configured Out of the Box:

  • Full asynchronous API routing utilizing LangChain Expression Language (LCEL)
  • Native client hooks for Claude 3.5 / 5.5 and OpenAI models
  • Sandboxed environment configs (.env) to prevent API key exposure
  • Production-ready error handling and request parsing
  • Companion Next.js streaming frontend container

Quickstart CLI

You can spin up the backend or matching frontend container directly in your terminal:


bash
npx create-ai-agent-boilerplate
npx create-ai-agent-frontend
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