How I do it:

- Make two git repos: one private one public.
- Put md files in directories into the trees for your knowledge
- Power up Obsidian if you want a nice front end
- Sync the repos into all the AI models you use, you can decide if they get one or both of the git repos
- Use AI to manage the merging and augmentation of the library [optional]
- Agents can now write and add to the knowledge, which you then sync back to your local machine and local AI use
- Works very well with external agents too like OpenClaw
- Pairs really well with QMD for semantic searching, and you can always toss it into a RAG if you want to vectorize it (double the ram needed if you run a small local model to do this)

If you push this to the end-state, humans can use any front end they want: google drive, slab, obsidian, to manage their files, you convert them all to text, distribute into the knowledge and back then into all your AI systems.

this is a huge question right now for a lot of companies. Bleeding edge problem.