The "persistent operational baseline" is doing a lot of work in that phrase. In practice I see three orthogonal stores that need separate design:
(a) outcome-set — what the system has actually achieved this session (append-only event log)
(b) constraint-set — config / SLA / dependency invariants the next session must respect (versioned snapshot)
(c) drift-log — where reality diverged from intent + how it was reconciled (correlated diffs)
Most "agent memory" implementations collapse all three into one blob ("context window" / "long-term memory") which is why they fail under real infra: writes overwrite, reads are lossy, you can't audit divergence.
If SysAI exposes these as three separately addressable surfaces, you also get a natural Lightning-monetized read path: per-store, per-query sats, with caching anchored to event ids.