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

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