memU offers three deployment options:
- Cloud version: Quick access via API for small to medium-sized applications and prototypes, no infrastructure to maintain
- Enterprise EditionSupport for private deployment and commercial licenses to meet the high security requirements of financial, medical and other scenarios
- community edition(coming soon): fully localized deployment for developers focused on data sovereignty and deep customization
These three types of architectures do not differ in functional integrity; the main differences are in data storage location, service level agreements (SLAs), and O&M complexity.
This answer comes from the articlememU: an open-source framework for creating long-term memories for AI companionsThe
May not be reproduced without permission:AI productivity tools " What are the options for memU deployment architecture? What are the applicable scenarios for each?
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