How to Evaluate Memory Services for a Multi-Tenant AI Product

Evaluating a multi-tenant memory service should test both logical isolation and predictable performance under adversarial access scenarios and mixed workloads rather than relying on a single successful user lookup. Teams should first define an access matrix for personal, project, and organization scopes, including permissions for guests, departed users, and service accounts, then convert denied actions into acceptance tests while independently inspecting retrieved evidence and generated responses for data leaks. Testing should use identical project and document names across tenants to confirm separation throughout ingestion, retrieval, revision, deletion, caching, and asynchronous processing. Performance evaluation should measure per-tenant latency, errors, queue delays, and readiness while one tenant performs heavy ingestion, and should verify actual quotas, scheduling controls, deployment options, and service commitments. Operational tests should also cover tenant-specific export, derived-data identification, access revocation, deletion, and recovery from interrupted removal workflows. For Zep, evaluators should distinguish documented platform behavior from application responsibilities using its architecture, authorization, and isolation guidance, while Supermemory and other candidates should undergo the same two-tenant pilot and evaluation gates.

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