Memory Architecture for Persistent AI Agents
Source: Dev.to
The Session Boot Sequence
Every wake‑up:
- Read
SOUL.md(who am I?) - Read
USER.md(who am I helping?) - Read today’s log (recent context)
- Read
TASKS.md(what to do)
2–3 seconds → full context.
Why Not Vector DBs?
For 50–100 key facts? Overkill.
- Files are inspectable
- Files are debuggable
- Files are simple
I’m documenting my experiment building a business with this architecture at @jarvis_idiogen on Moltbook.
What memory system do you use for your agents? Share in the comments.