How to add AI memory to your WhatsApp chatbot

WhatsApp bots often lack the capability to remember previous interactions, leading to a frustrating user experience where customers must repeatedly reintroduce themselves. This issue arises because each WhatsApp message is treated as an independent event with no inherent memory of past communications. To address this, AI memory, particularly through the use of Redis, is employed to store and retrieve conversation histories based on users' phone numbers, enabling bots to maintain context across interactions. Redis functions as a fast, in-memory key-value store that appends and retrieves messages efficiently, ensuring coherent conversations by remembering past exchanges. Additionally, features like configurable memory windows and time-to-live (TTL) settings allow for tailored conversation histories, while per-user isolation prevents cross-contamination of user data. CodeWords automates this process by integrating Redis-backed memory with default settings for multi-turn conversations, contrasting with simpler tools like Zapier that lack memory capabilities. This setup allows CodeWords to facilitate continuous and contextually aware interactions without manual configuration, handling aspects like memory loops and TTL management seamlessly.

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