Creating an AI Streamer That Remembers Previous Visits — Designing Memory and Mu

<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>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

<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>The dry run said the reminder text would go out to a customer with the window "12PM–2PM." The actual appointment was 8AM–10AM. Four hours off, on a message the customer would

<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

<blockquote> <p>The pager went off at 2:14 AM.</p> </blockquote> <p>If you’ve spent any time operating distributed systems, you know that sound. It doesn’t just wake you up; it

<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