Choosing Your Agent Framework for Healthcare: LangChain vs CrewAI vs AutoGen vs Building From Scratch

The Framework Decision That Keeps Healthcare CTOs Up at Night

Every engineering team building AI agents for healthcare hits the same crossroads: do you adopt an established framework like LangChain, CrewAI, or AutoGen, or do you build your own orchestration layer from scratch?

In most software domains, this is a matter of preference. In healthcare, it is a compliance decision. The framework you choose determines how you audit every LLM interaction, how you validate outputs before they reach a clinician, how you handle errors when a drug interaction check fails mid-workflow, and whether your deployment can run inside a BAA-covered environment. HIPAA audit requirements for AI agents are not optional add-ons; they are architectural constraints that must be baked in from day one.

This guide is not a generic framework comparison. It is a healthcare-specific evaluation of LangChain/LangGraph, CrewAI, AutoGen, Claude Agent SDK, and building from scratch, measured against the criteria that actually matter in regulated clinical environments.