<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>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>`---<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
<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>This post originally appeared on <a href="https://tokenjam.dev/blog/2026-05-13-agent-memory?utm_source=devto&utm_medium=referral&utm_campaign=cross-post" rel="noopener
<!-- SC_OFF --><div class="md"><p>I’ve been building Signet, an open-source memory substrate for AI agents.</p> <p>The problem is that most agent memory systems are still
<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>Claude's context window holds 200,000 tokens. Gemini's stretches to two million. But response quality starts degrading long before the window fills up. Window size doesn't
NewsHive monitors these sources continuously. All signal titles above link to the original reporting.
Intelligence by NewsHive. Need help navigating what this means for your business? Contact GeekyBee →