MemoryOS

Definition

MemoryOS is a working MarketIQX memory capability and architecture for preserving business context across agent workflows. It should be understood as a technology substrate, not as a standalone public SaaS product claim.

How it works

• Resolve identity, tenant, workflow and business context.
• Recall relevant facts, policies, history, outcomes and corrections.
• Pass context into agent reasoning and Agentic RAG retrieval.
• Record approved outcomes, corrections and decision receipts back into memory.
• Keep memory scoped to the relevant business and workflow boundaries.

When to use it

• Agents must remember customer, partner or workflow context over time.
• Teams need corrections to inform future behavior.
• RAG needs business state, not only documents.
• Multiple agents need shared organisational context.

When not to use it

• The workflow is a one-off question with no durable context.
• The data cannot be governed or permissioned.
• The business has no clear policy for what should be remembered.

Technical constraints

• Memory must be scoped.
• Corrections need provenance.
• Private data requires access controls.
• Stale facts need review or expiry rules.

Security and governance

• Tenant boundaries
• RBAC
• Human corrections
• Decision receipts
• Data minimisation
• Reviewable memory writes

Related MarketIQX work

• Alex/Priya specialised workflow context
• Anika correction loop
• MarketIQX Agentic AI operating model

FAQs

Is MemoryOS just chat history?
No. Chat history is a transcript. MemoryOS is structured business context: facts, policies, entities, corrections and outcomes that can inform future work under governance.

Is MemoryOS a public SaaS product?
The current public claim is a MarketIQX technology substrate and working capability, not a standalone commercial SaaS product claim.