I've been working on my own thing with more of a 'management' angle to it. It lets me connect memories to tasks and projects across all of my workspaces, and gives me a live SPA to view and edit everything, making controlling what the models are doing a lot easier in my experience https://github.com/Sornaensis/hmem in a way that suits how I think vs other project management or markdown systems.

I would be interested in trying to make the models go into more of a research mode and organize their knowledge inside it, but I've found this turns into something like LLM soup.

For coding projects, the best experience I have had is clear requirements and a lot of refinement followed through with well documented code and modules. And only a few big 'memories' to keep the overall vision in scope. Once I go beyond that, the impact goes down a lot, and the models seem to make more mistakes than I would expect.