Why Your AI Agent Needs Memory

<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>`---<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>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>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><strong>TL;DR:</strong> I built the same browser agent twice — once with 500 lines of Python, once with 7 lines of JSON. The second one took 5 minutes. The agent harness layer

<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>Vertex AI has been Google Cloud's AI development platform since 2021. On April 22, 2026, at Google Cloud Next in Las Vegas, Google retired it — not with a deprecation notice,

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