As you work with the agent, it records durable facts about your environment —
service names and owners, how a deploy flows, where the runbooks are, what
“normal” looks like. These become memory, and they make every later session
smarter: the agent doesn’t re-learn your infrastructure from scratch each time.
Memories are formed during conversations. When the agent learns something durable
and reusable — not a one-off detail — it persists it so future sessions can draw
on it.
Shared across the team
Memory belongs to the team, not to one person. When a teammate’s agent
figures out how your staging cluster is wired, your agent already knows it. This
is how operational knowledge compounds instead of living in one engineer’s head.
Reviewing and pruning
You can review what the agent has remembered and remove anything that’s wrong,
stale, or shouldn’t be retained. Prune aggressively when something changes — an
out-of-date memory is worse than none, because the agent will act on it.
If the agent keeps making the same wrong assumption, check its memory — a stale
fact is often the cause. Remove it and the behavior usually corrects itself.
