
I think most founders are overcomplicating AI memory.
After months of using AI agents, I realized:
Memory is good for preferences and decisions.
Knowledge is better stored in plain Markdown files.
My current setup:
One topic = one .md file
quick-ref.md acts as the index
Agent reads files when needed
Example:
/knowledge/
indie_hacker_growth_tactics.md
free_developer_resources.md
Benefits:
✓ Human-readable
✓ Git-friendly
✓ No vector DB
✓ No embeddings pipeline
✓ Works across agents
Now the AI doesn't need to remember everything.
It only needs to know where knowledge lives.
Curious how others handle long-term knowledge for AI agents?