User and subject context
Keep relevant context attached to the person, account or subject the work is actually about instead of leaking it into unrelated runs.
Createting can assemble reusable context around the configured user, agent, subject and runtime scope. Reading and writing memory are treated as distinct behaviors, while authoritative business systems remain the source of record.
AI agent memory is reusable context that an agent can retrieve across interactions or tasks. Unlike the temporary prompt for one model call, memory can persist beyond a single turn and be reintroduced when it is relevant and permitted.
For enterprise systems, persistence is only half the problem. The harder question is whose context this is, which agent may use it, and under what write policy. Createting treats that boundary as part of the runtime model rather than one shared conversation history.
Reusable context becomes useful when it follows the work. It becomes risky when every agent sees the same undifferentiated history.
Keep relevant context attached to the person, account or subject the work is actually about instead of leaking it into unrelated runs.
Different agents can operate with different context boundaries. A support agent does not automatically need the same memory surface as a sales or operations agent.
Short-lived execution context can stay local to the current interaction or mission while longer-lived memory is retrieved only when it remains relevant.
A useful memory architecture separates retrieval from mutation. An agent may need context from prior work without being allowed to create or modify long-lived memory freely.
Resolve relevant memory inside the allowed scope.
READCapture candidate context without silently turning every observation into durable truth.
REVIEWPersist or update memory only where configured policy allows that behavior.
WRITELong-lived agent systems need to distinguish remembered context from verified systems of record. Where evidence and provenance are available, they should travel with memory instead of disappearing into prompt state.
Memory can enrich decisions, but authoritative business systems should remain the source of record for operational truth.
When memory is enabled for a deployment, it can participate in the same runtime model as the agents, missions and execution surfaces that use it.
Conversation history is usually the transcript of one interaction. Agent memory is reusable context that may be retrieved across interactions or tasks when the scope and policy allow it.
A knowledge base normally retrieves curated organizational information. Memory is more context-sensitive and may represent relevant information learned through prior interactions or execution.
No. Shared memory can create context leakage and unnecessary coupling. The useful boundary depends on the user, subject, agent role, workspace and execution context.
Yes. Read access and write behavior should be separate controls because many agents need historical context without needing permission to mutate durable memory.
No. Memory can enrich agent context, but operational systems should remain authoritative for business records and state.
Memory is another governed resource: who may retrieve it, what scope is visible, and when durable writes are permitted should be explicit rather than inferred from a prompt.
Bring one agent workflow and the context it needs. Map the memory, knowledge and authority boundaries before deployment.