Unlocking True AI Collaboration: Understanding Short-Term and Long-Term Memory i

<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

<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

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<p>`---<br /> title: "Why I Built a Brain for My AI Agents — and What It Taught Me About Memory"<br /> published: true<br /> description: "Anamnesis v0.3.0: The cognitive

<h2> The Problem with Forgetting </h2> <p>Every time you start a new conversation with an LLM, it forgets everything. No memory of your preferences, your codebase, your past

<p>Every agent pipeline I've touched in the last eighteen months reinvents memory, and most of them do it badly.</p> <p>Planner decisions never reach the executor. Giant prompts

<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>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