Developer Builds AI Agent Using Memory Graphs to Detect Customer Churn Risk

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A customer support professional with over five years of experience built an AI agent designed to identify customers at risk of churning by connecting patterns across support tickets, usage data, and plan changes. The tool uses Cognee, an open-source memory layer, to construct a knowledge graph that links signals across interactions rather than treating each one in isolation. In testing, the agent flagged customers showing significant usage drops and unresponsiveness to outreach, while correctly ignoring engaged users. The project was developed for the Cognee 'Where's My Context?' hackathon by a self-taught builder who used AI-assisted tools to handle technical implementation. The full code has been published on GitHub.

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