RAG - Memory Systems

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<p>This post originally appeared on <a href="https://tokenjam.dev/blog/2026-05-13-agent-memory?utm_source=devto&amp;utm_medium=referral&amp;utm_campaign=cross-post" rel="noopener

<p>Most agent frameworks treat memory as an afterthought. They give your agent tools, prompts, and orchestration patterns — but when you restart the conversation, everything

<h2> Your Agent Can Think. Let's Make It Remember. </h2> <p>You've seen the headlines, the demos, and the hype. AI agents can now reason, plan, and execute tasks. But as the

<p>If you are building agents in 2026, you have already hit the wall. Bigger models do not fix forgetfulness. Context windows can grow forever, and the agent still cannot remember

<p>Most AI agents have amnesia.</p> <p>You close the chat window. They forget everything. Every session starts from zero. Every context window fills up and dumps the earliest

<p>Hi. While making my agents orchestrate, remember, resume or anything for that matter, I found myself thinking about how naturally we do some of these things ourselves. We

<p>You ask a chatbot: "What's the capital of France?"</p> <p>It says: "Paris."</p> <p>You ask: "What's the population there?"</p> <p>It says: "Where?"</p> <p>That's a stateless