Atomic: An AI-augmented knowledge base that uses your local models

<!-- SC_OFF --><div class="md"><p>Memory store for coding agents that lives entirely in a <code>.lethe/</code> directory per project. Markdown files for the source of truth,

<!-- 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>Most of my LLM cost was on the wrong tier of work.</p> <p>Classification, extraction, JSON formatting, summarization I'm going to review anyway.

<!-- SC_OFF --><div class="md"><p>I have snobbishly long felt that the local models were not 'up to my standards' for local development, or otherwise able to compete with GHCP,

<!-- SC_OFF --><div class="md"><p>Even with agent framework DX getting somewhat better - it's still really annoying to build real apps with them. Even a basic in-app agent chatbot

<!-- SC_OFF --><div class="md"><p>I've been going down a rabbit hole trying to solve LLM memory. the problem where every session starts blank and your agent has no idea what it

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1t0ea9u/i_built_a_fully_local_meeting_ai_that_runs/"> <img alt="I built a fully local meeting AI that runs

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s48pbf/basic_local_app_builder_poc_using_openui/"> <img alt="Basic, local app builder PoC using OpenUI"