How teams ship memory with MemLab
One memory layer, six common shapes. Whatever vertical you build in, the architecture is the same — capture every signal, extract structured facts, retrieve them with hybrid search, evolve them over time.
CUSTOMER SUPPORT AGENTS
Agents that remember the customer, not just the ticket
Every conversation, escalation, and resolution lands in MemLab as structured memory. Next time the customer reaches out, the agent already knows the open invoice, the last engineer involved, and the workaround that almost worked.
Hybrid retrieval surfaces the right turn from a year-old conversation in under 200ms.
HEALTHCARE ADVISORS
Clinician copilots grounded in the patient graph
Patient encounters, lab results, and ongoing prescriptions become first-class entities. The bi-temporal knowledge graph keeps the timeline coherent — facts that became invalid are marked, never overwritten — so the model can reason across the full record without hallucinating yesterday into today.
RLS-enforced tenancy and append-only audit trails on every memory mutation.
SALES COPILOTS
Forecast the next call, not the last quarter
Calls, emails, deal notes, and CRM events all flow into one memory layer. The sales agent recalls the buyer's objection from week three, the procurement contact who joined late, and the slide that finally landed.
Per-project Qdrant collections keep accounts strictly isolated.
CODE ASSISTANTS
Engineering agents with project context that lasts
The PR description from three months ago, the thread where the team decided to use Postgres advisory locks, and the bug report that motivated the refactor — all retrievable as graph-grounded context for the next code generation.
Five-tier dedup keeps the same fact from being learned three different ways.
PERSONAL AI
Assistants that build a relationship, not just a session
Long-running personal AI needs more than a context window. MemLab gives every user a private memory store with preferences, goals, and life events represented as a continuously-evolving knowledge graph.
Bi-temporal facts capture changing preferences without losing the history.
INTERNAL KNOWLEDGE
A single source of truth for every internal agent
Wikis, Slack archives, deal rooms, and incident reports get unified into one query-able knowledge graph. The same memory layer powers the support copilot, the sales copilot, and the engineering copilot.
One ingest pipeline, many consumers — gateway routes by org and project.