AI Sleep Coach: Build a Multi-Agent System to Master Your Circadian Rhythm with CrewAI

Short summary

A tutorial for building an AI Sleep Coach using CrewAI's multi-agent framework, with a Data Analyst Agent that processes health metrics and a Protocol Agent that generates sleep optimization strategies. The system uses Redis for persistent memory of user health data from Google Health Connect, including light exposure, steps, and sleep scores. The two agents work sequentially—the analyst identifies circadian disruptors before the coach prescribes a 24-hour protocol.

• •Two-agent CrewAI system: Data Analyst processes metrics, Protocol Agent generates sleep strategies
• •Redis stores persistent health context for long-term trend recognition
• •Agents work sequentially with defined tasks and expected outputs

Generated with AI, which can make mistakes.