Multi-Tenancy

CortexDB is designed for real-world deployments where memory needs to be organized and governed across customers, teams, applications, or agents.

At a public product level, multi-tenancy means teams can keep memory separated, organized, and operationally manageable.

Why multi-tenancy matters

AI memory is rarely used by a single workflow in isolation.

Teams often need to support:

• multiple customers in one product
• multiple teams inside one organization
• multiple applications sharing common infrastructure
• multiple agents with distinct memory scopes

Multi-tenancy helps ensure those memory boundaries remain clear.

Common organization patterns

Teams often organize CortexDB memory by:

• tenant or customer
• team or department
• project or initiative
• environment or workflow
• agent or assistant role

This helps keep retrieval relevant and makes operational ownership easier.

Practical use cases

Examples include:

• a SaaS product with one memory boundary per customer
• an enterprise deployment with separate team workspaces
• multiple copilots sharing infrastructure but not memory context
• a shared organizational memory plus narrower task-specific memory scopes

Governance and operational value

Multi-tenancy is not just about separation. It also helps with:

• access boundaries
• operational ownership
• policy-driven workflows
• enterprise deployment needs
• cleaner scaling across products and teams

What this page intentionally does not cover

This page focuses on the public product idea of tenant-aware memory. It does not describe internal storage layouts, partitioning rules, or low-level implementation details.

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