AI agent memory best practices across channels
Memory quality determines whether recurring workflows get faster or noisier over time. This guide covers practical rules for durable, safe, and useful memory.
Persist only durable facts
Keep profile traits, role preferences, recurring projects, stable contacts, and standing process decisions. Do not persist transient ticket details or one-off errors.
Use category-based memory sections
Structured sections make updates safer and easier to audit. A reliable pattern is profile, preferences, projects, contacts, decisions, and processes.
This structure supports better follow-up in workflows like meeting follow-up automation and GitHub issue execution.
Set review cadence for stale context
Memory should be reviewed on a schedule. Archive outdated preferences and remove invalid contacts to prevent routing mistakes.
- Weekly checks for active projects.
- Monthly checks for contacts and permissions.
- Immediate updates when governance policies change.