"Proposed memory: preference_apply_memory_autonomously. md - when a memory entry

<!-- SC_OFF --><div class="md"><p>Most agent systems treat memory as advisory.</p> <p>The agent reads past context, but nothing forces it to follow it.</p> <p>So memory becomes a

<!-- 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>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

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1svasld/memory_systems_with_vector_objects_as/"> <img alt="Memory systems with vector objects as

<!-- SC_OFF --><div class="md"><p>We rely on calendars to remember appointments, contact lists to remember phone numbers, GPS systems to navigate, search engines to retrieve

<!-- SC_OFF --><div class="md"><p>But is there an industry need for it ... It's smth like vlc media player of memory systems ... My team thinks it's hard to make money from it or

<!-- 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>