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

Description and use

The boilerplate streamlines AI agent development by eliminating repetitive FastAPI and LangChain setup, enabling local launch in under 5 minutes.

Problem

Developers repeatedly had to manually set up backend infrastructure, configure LangChain Expression Language pipelines, and mock Stripe webhooks for each new AI automation project, leading to wasted time and inconsistent codebases.

Outcome

The boilerplate reduces setup time by over 40 hours, standardizes project structure, and enables rapid prototyping of AI agents for B2B agencies and indie developers.

Workflow

• Clone the repository from GitHub
• Install dependencies via pip or poetry
• Configure environment variables (e.g., API keys, Stripe secrets)
• Run the FastAPI server locally
• Use the provided LCEL pipeline templates to build AI agent logic
• Test endpoints with Postman or curl
• Deploy to production when ready

Evidence

I cleaned up my backend code structure and open-sourced it as an ultra-lightweight, production-ready framework blueprint for indie developers and B2B AI Automation Agencies (AAA).

Source

Runs locally on your machine in under 5 minutes with zero server bloat.

Source