Possible memory classes
Conversation Memory · Preference Memory · Goal Memory · Progress Memory · Structured Profile Memory · Relationship Memory · Project Memory · Service Memory · Knowledge Interaction Memory. These are architecture classes, not proof that all are currently stored or publicly available.
Every memory needs a reason
Before storing anything: Why are we storing it? Who owns it? Who can access it? How long should it remain? Can the user inspect, correct, or delete it? Can AI use it? Is it sensitive? Not every statement deserves permanent memory.
Current memory boundary
Personalized cloud AI memory is not currently proven as a public meUus capability, and end-to-end deletion across connected systems is not yet proven. Personal knowledge remains private by default.
Specialized AI registry
The architecture separates systems: meYoo, SoulAI, Knowledge AI, Marketplace AI, DLAS AI, Business AI, Project AI, Evidence AI, Translation/Language AI, and Local meUus AI. Each has its own status and contract.
Default safe states differ
meYoo: navigation/info panel or pilot with memory/action authority gated. SoulAI: private/pilot only after source/privacy gates. Knowledge AI: internal/pilot after evidence model. Marketplace AI and DLAS AI: coming later under strict boundaries. Project/Evidence AI: internal candidates with approval gates. Translation AI: pilot after quality/review rules. Local AI: research/pilot.
Agent families are architecture, not staff
Possible families include Understanding/Reflection, Planning, Operations, Knowledge/Intelligence, Governance, and Engineering agents. A named agent does not mean a deployed autonomous worker exists. The live system should contain only agents justified by actual use cases, permissions, tests, and evidence.
Reflection
Questions to sit with
- Does this information deserve memory, or is temporary context enough?
- Who should be able to see, correct, export, or delete it?
- Does this agent need this permission to do its job?