Vortex Memory is a managed data layer that can index selected business data for approved agent workflows. Access methods, freshness and performance depend on the configured source and client.
Every team adds another agent. Each one re-crawls the same systems, holds its own half-picture, and answers with whatever it managed to fetch in time.
Three agents, three sets of live API calls against the same order and catalogue data.
Pagination and throttling turn a simple cross-system question into a multi-minute job.
Two agents answer the same question differently because neither sees the whole picture.
Writes go straight to production with no approval gate and no way back.
Adding another connector to an agent gives it another door to knock on. Giving it indexed, permissioned business context tells it exactly where to look, before it runs.
Cross-system questions your team already asks, answered against indexed context, with live actions when they are needed.
Configured searches use indexed context where available. Some workflows may still require source calls, pagination or provider limits.
Reads come from the store. Writes go to the source system through the same connector, under the same permissions.
Everything the store holds about one account, fetched in milliseconds instead of crawled from three separate APIs.
Structured filters against indexed entities, so an agent narrows the field before it spends a single token reasoning.
An automation can begin with approved context and write its run outcome back to the operating history, so the next task does not start without the earlier decision.
Triggers, schedules, approvals and run history use the same permissioned context.
Explore Automations →DetectDetection runs against context that is already resolved, not re-crawled.
Explore Nerve Centre →ExplainDiagnosis draws on the same indexed picture every other agent sees.
Explore Vortex Mind →FixSupported writes follow permissions; staging and rollback apply where available, with retrieval recorded.
Explore Vortex Apps →
