Use cases
Six shapes of agent memory
One vault, scoped per agent. Each verticale ships with a full article, a diagram, and a Python snippet you can paste into your own codebase.
Coding agent
The conventions your team agreed on, remembered. The refactor decisions, surfaced. One folder per editor, plain Markdown on disk.
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Sales co-pilot
Deal stages, objections, contact preferences. One vault per SDR, audit trail per contact, valid_at on every fact.
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Support agent
Past tickets, resolution channels, preferred contact path. A returning customer is recognised before the first message.
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Tutor agent
Recurring mistakes, learning style, the explanation that landed. One profile per student, adapts at every lesson.
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Healthcare assistant
Patient context with audit logs, lawful-basis tags, on-prem or EU residency. Designed for GDPR and NIS2.
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Personal AI
Long-term timeline of the user. Color preferences that shift, jobs that change, goals that evolve. Memory that compounds.
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Want a verticale we haven't covered?
Tell us what your agent forgets
Email me with the shape of memory you need and the agent you're using. If it's a recurring pattern, it ends up on this page.
hello@korely.aiOr join the early-access cohort to get the Python SDK first.