A customer support brain
Every ticket, resolution, and promise — shared by human and AI agents alike.

Without memory
Customers repeat their history to every new support contact — human or bot. The context of past tickets, workarounds already tried, and promises already made is scattered across a ticketing system nobody queries mid-conversation.
With Rekall
Per-customer memory shared across your whole support surface: the AI that answers first already knows the customer’s setup, past issues, and the workaround that failed last time. Escalations arrive with context instead of archaeology.
How it works
Every interaction is remembered
Tickets, chats, and resolutions land in customer-scoped memory via the REST API — from whatever helpdesk you already run.
AI answers with history
The support agent recalls this customer’s environment and past fixes before proposing anything — no “have you tried restarting.”
Handoffs carry context
Escalation to a human includes the full recall: what was tried, what the customer was told, what’s still open.
See it in action
// Inbound ticket from customer acme-supportconst history = await rekall.memories.search({query: 'webhook delivery failures',hiveId: 'customer-acme',})// → 2 prior tickets: TLS cert issue (resolved),// retry-storm workaround (active — do NOT// suggest re-enabling instant retries)
Related use cases
Sales & account memory
Walk into every meeting knowing what was promised, objected to, and decided.
Institutional memory for agencies & consultancies
Per-client memory that never leaks. Firm-wide skills that keep compounding.
Add memory to your AI product
Give your users persistent memory — without building five storage systems.