The latest articles on DEV Community by Victor Egbo (@victor_egbo_8e8c0ff90b131). https://dev.to/victor_egbo_8e8c0ff90b131 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3103150%2Facece9fb-cc76-445c-99bc-91ad756c7c9b.png https://dev.to/victor_egbo_8e8c0ff90b131 en Victor Egbo Sat, 26 Jul 2025 12:21:15 +0000 https://dev.to/victor_egbo_8e8c0ff90b131/ai-agent-console-36ho https://dev.to/victor_egbo_8e8c0ff90b131/ai-agent-console-36ho <p><em>This is a submission for the <a href="https://dev.to/challenges/redis-2025-07-23">Redis AI Challenge</a>: Real-Time AI Innovators.</em></p> <h2> What I Built </h2> <p>I built a <strong>Second Brain for Real-Time Automation</strong>, powered by Redis and n8n — a smart memory engine that:</p> <ul> <li>Captures, stores, and recalls human-like context from multi-session conversations</li> <li>Automates business workflows in real time</li> <li>Uses Redis as the core memory, delay timer, and trigger controller</li> </ul> <p>It works across platforms like WhatsApp, and it's designed for use cases such as:</p> <ul> <li>Order and delivery automation</li> <li>Agent memory recall</li> <li>Time-based workflows (e.g. "start in 1 hour", converted into seconds using Redis TTL)</li> <li>Context-aware task delegation</li> </ul> <p>The system dynamically routes messages based on role (Admin, Customer, Agent), and it persistently remembers chat states using Redis JSON. It’s capable of acting like a CRM, automation layer, and AI memory unit — all in one.</p> <h2> Demo </h2> <p>🚀 [Live Workflow Screenshot] <a href="https://drive.google.com/file/d/1mXRqrzDCtEMs4yr2IO4Wst5pp825vOF6/view?usp=drive_link" rel="noopener noreferrer">https://drive.google.com/file/d/1mXRqrzDCtEMs4yr2IO4Wst5pp825vOF6/view?usp=drive_link</a><br> 🎥 [Demo Video]<a href="https://drive.google.com/file/d/1NKhmdgOHxA9NFlbc8Xe_8cxHCKxz5pRE/view?usp=drive_link" rel="noopener noreferrer">https://drive.google.com/file/d/1NKhmdgOHxA9NFlbc8Xe_8cxHCKxz5pRE/view?usp=drive_link</a> <br> 📸 Screenshots: </p> <ul> <li>Redis key structure </li> <li>Message context stored and recalled </li> <li>Real-time delivery timers firing workflows via TTL expiration</li> </ul> <h2> How I Used Redis 8 </h2> <p>Redis was at the core of the brain. I used:</p> <ul> <li> <strong>RedisJSON</strong> to store structured session history, roles, and memory per phone number.</li> <li> <strong>Redis TTL + Key Expiry</strong> to schedule timed workflows ("start in 1 hour" is auto-converted to seconds and scheduled in Redis).</li> <li> <strong>Redis Streams</strong> for logging and chaining AI agent interactions.</li> <li> <strong>Pub/Sub</strong> to push live triggers to n8n for follow-ups, reminders, or escalations.</li> </ul> <p>This allowed me to build a <strong>modular second brain</strong> that remembers, reacts, and acts in real time — like a digital operating system for conversations.</p> <h2> Tags </h2> <h1> redischallenge #devchallenge #database #ai </h1> redischallenge devchallenge database ai Victor Egbo Sat, 26 Jul 2025 12:16:59 +0000 https://dev.to/victor_egbo_8e8c0ff90b131/memora-ai-personal-assistant-3jl5 https://dev.to/victor_egbo_8e8c0ff90b131/memora-ai-personal-assistant-3jl5 <h2> What I Built </h2> <p>I built a <strong>Second Brain for Real-Time Automation</strong>, powered by Redis and n8n — a smart memory engine that:</p> <ul> <li>Captures, stores, and recalls human-like context from multi-session conversations</li> <li>Automates business workflows in real time</li> <li>Uses Redis as the core memory, delay timer, and trigger controller</li> </ul> <p>It works across platforms like WhatsApp, and it's designed for use cases such as:</p> <ul> <li>Order and delivery automation</li> <li>Agent memory recall</li> <li>Time-based workflows (e.g. "start in 1 hour", converted into seconds using Redis TTL)</li> <li>Context-aware task delegation</li> </ul> <p>The system dynamically routes messages based on role (Admin, Customer, Agent), and it persistently remembers chat states using Redis JSON. It’s capable of acting like a CRM, automation layer, and AI memory unit — all in one.</p> <h2> Demo </h2> <p>🚀 [Live Workflow Screenshot] <a href="https://drive.google.com/file/d/1mXRqrzDCtEMs4yr2IO4Wst5pp825vOF6/view?usp=drive_link" rel="noopener noreferrer">https://drive.google.com/file/d/1mXRqrzDCtEMs4yr2IO4Wst5pp825vOF6/view?usp=drive_link</a><br> 🎥 [Demo Video] <a href="https://drive.google.com/file/d/1NKhmdgOHxA9NFlbc8Xe_8cxHCKxz5pRE/view?usp=sharing" rel="noopener noreferrer">https://drive.google.com/file/d/1NKhmdgOHxA9NFlbc8Xe_8cxHCKxz5pRE/view?usp=sharing</a><br> 📸 Screenshots: </p> <ul> <li>Redis key structure </li> <li>Message context stored and recalled </li> <li>Real-time delivery timers firing workflows via TTL expiration</li> </ul> <h2> How I Used Redis 8 </h2> <p>Redis was at the core of the brain. I used:</p> <ul> <li> <strong>RedisJSON</strong> to store structured session history, roles, and memory per phone number.</li> <li> <strong>Redis TTL + Key Expiry</strong> to schedule timed workflows ("start in 1 hour" is auto-converted to seconds and scheduled in Redis).</li> <li> <strong>Redis Streams</strong> for logging and chaining AI agent interactions.</li> <li> <strong>Pub/Sub</strong> to push live triggers to n8n for follow-ups, reminders, or escalations.</li> </ul> <p>This allowed me to build a <strong>modular second brain</strong> that remembers, reacts, and acts in real time — like a digital operating system for conversations.</p> <h2> Tags </h2> <h1> redischallenge #devchallenge #database #ai </h1> redischallenge devchallenge database ai