Agent Memory System Blueprint: Stop Losing Context Between Runs
Most AI agents are stateless. Every restart wipes their memory. You repeat instructions, lose decisions, and waste tokens re-explaining context.
The Agent Memory System Blueprint fixes this with a lightweight, file-based system:
- structured daily logs:
memory/YYYY-MM-DD.md - domain-specific memory vaults:
memory/domains/ - compression and archival rules
- Git-friendly storage
- consolidation scripts and
SOUL.mdintegration
Buyers use it to keep agents from losing decisions between runs, reduce token spend on repeated context, and stop the “what did we decide last time?” loop.
Part of the MarketMai bundle.
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