Your AI agents remember yesterday.

<!-- SC_OFF --><div class="md"><p>I've been working on MDA (Modular Dynamic Architecture), an online associative memory system for LLMs. Here's what I learned building it.</p>

<!-- 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

<!-- SC_OFF --><div class="md"><p><a href="https://github.com/SomeoneAlt-86/open-mythos">https://github.com/SomeoneAlt-86/open-mythos</a><br /> Claude just previewed their Mythos

<!-- SC_OFF --><div class="md"><p>Just putting together a quick list of the new <strong>open-source physical AI / robotics models</strong> from <strong>NVIDIA GTC

<!-- SC_OFF --><div class="md"><p>Link to full article <a href="https://orimnemos.com/bedrock">here </a></p> <p>TLDR:</p> <p>- LLMs are the wrong substrate for memory. Prediction

<!-- SC_OFF --><div class="md"><p>Been heads down building graphify since April 5th. The idea: instead of stuffing your entire codebase into context every session, build a

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1t5lywi/i_analyzed_922_agentic_task_trace_and_found_the/"> <img alt="I analyzed 922 agentic task trace and

<!-- SC_OFF --><div class="md"><p>Yesterday, Thinking Machines Lab (Mira Murati's company) announced something categorically new : <strong>Interaction models</strong> are AI