99. Build a Chatbot With Memory

<h1> 8 AI Agent Memory Patterns for Production Systems (Beyond Basic RAG) </h1> <p>Every AI agent tutorial shows stateless request-response. User asks, agent answers, context

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<p>This is post #21 in the <strong>Ruby for AI</strong> series. We've been building everything from scratch — API calls, RAG pipelines, agents, streaming. That's great for

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<p>We need memory to store the previous conversational history. </p> <p>For example:</p> <p>Previous question is:</p> <p><strong>User:</strong> File handling in Python</p>

<p>Two AI agents need to collaborate. One researches, the other writes. How do they share what they know?</p> <p>This is not a theoretical question. Multi-agent systems are the

<blockquote> <p>Drawing from practical experience with memo-agent (simplified Hermes version), exploring how to give terminal AI assistants "long-term memory" and "extended

<p>Most LLM demos are amnesiacs. The user says "my name is noear and I like blue" in turn one, asks "what's my name?" in turn two, and the model shrugs - because every HTTP call