I once tried to teach an agent to have a 'pain reflex' and save memory. The experiment failed horribly.
Summary? Is it "markdown as memory"?
No it's a graph memory storage and retrieval system usable by all AI via CLI or MCP tool.
Markdown as memory takes up too much context. Empirical loads dynamically via querying the context it needs on demand.
Interesting. I have hypothesis that markdown in repo is better.
Interesting. I will have to give it a try. I have found that markdown costs me 40% more and takes much longer to search through and doesn't cross project boundaries.
Try out empirical if you can and let me know what you think.