3 AI Agent Patterns Explained Know which pattern owns which job.

<!-- 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>Every time one of our agents made a bad call in production, we had the same problem. Logs showed what happened. Nothing showed why it decided to

<!-- SC_OFF --><div class="md"><p>want to put a different multi-agent direction on the table because most of what i see assumes task teams.</p> <p>the dominant pattern right now:

<!-- SC_OFF --><div class="md"><p>I’ve been experimenting with a different way of handling agents and I’m trying to sanity check if this makes sense.</p> <p>Right now most setups

<!-- SC_OFF --><div class="md"><p>The idea is simple, if one agent is good then multiple agents working together must be better. In practice coordination between agents is an

<!-- SC_OFF --><div class="md"><p>I’ve been in QA for almost a decade. My mental model for quality was always: given input X, assert output Y. Now I’m on a team that’s shipping an

<!-- 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>Cursor dropped their new product yesterday and its not a code editor anymore. its an agent orchestration console that happens to have an editor