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2026-05-05 / memory, agents, context

Why Enterprise Intelligence needs memory

Memory, context, and feedback are the difference between chat and useful ongoing work.

Brief

A useful AI worker needs more than a prompt. It needs context about the person, the company, the tools, prior decisions, and what worked before.

Gwen treats memory as controllable product infrastructure. Users can review, approve, edit, and forget what Gwen remembers.

The long-term loop is simple: mission history becomes context, feedback improves future missions, and tools are governed through approvals.

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