Every AI coding session starts from zero — the decisions, the dead ends, the reasons behind a weird workaround, all gone by the next conversation. HiveMind is persistent recall: Q and Hive both draw on it, so context survives across cards, sprints, and time — at whatever level of detail you need, from a single agent's decision up to a whole application.
Add-on to Q · runs in your infrastructure · your history stays yours
Without persistent memory, every agent conversation re-derives facts that were already settled, re-litigates decisions that were already made, and repeats mistakes that were already caught.
Why a workaround exists, why an approach was rejected, what a stakeholder actually asked for — recalled instead of re-explained. Context doesn't reset at the sprint boundary; what Hive learned building card 40 is available when card 41 starts.
Memory isn't one flat pile. Recall scopes to whatever level you need — a single agent, a whole application, a specific requirement, or one user story — so context stays precise instead of generic.
HiveMind recalls what actually happened — from your tickets, your commits, your prior runs — not a plausible-sounding guess.
Where recall data lives, what leaves your environment (nothing, by default), and how retention works.
HiveMind is an add-on to Q. Talk to us about turning it on for your team.
