Building Memory-First AI Reminder Agents With Mem0 And Claude Agent SDK

RecallAgent is a Slack-based reminder assistant designed by Mem0 to combine dependable reminder management with long-term personalization, addressing the limitations of conventional bots that lose context after each interaction. Its architecture strictly separates authoritative reminder state, stored in a relational database, from behavioral preferences and historical context, stored in Mem0, ensuring that active reminders reliably fire and completed reminders do not recur while the assistant can learn habits such as preferred notification times and typical snooze intervals. Slack events are authenticated and deduplicated, deterministic logic resolves short or ambiguous follow-up messages before invoking the Claude Agent SDK, and the model can only request structured actions through a limited set of tools rather than directly alter data. The system retrieves memory selectively to avoid unnecessary prompt noise, proposes personalized default times only with user confirmation, preserves completed reminders as searchable archives, and records behavior as summaries instead of unbounded raw history. Separate background processes handle idempotent notification delivery and overdue-reminder archiving, while the overall design emphasizes auditability, resilience to model errors or memory failures, and a clear boundary between personalization and operational truth.

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