Supermemory vs Zep: Compare Memory for Your Agent Workload
Compare Supermemory, managed Zep, and Graphiti using the same workflow, evaluation conditions, and operating-cost assumptions.
Supermemory and Zep both provide infrastructure for giving agents context beyond the current conversation. Compare them against the information your agent must use, the lifecycle of that information, and the work your team will operate. Distinguish Zep's managed service from Graphiti, its open-source graph framework, before comparing deployment or integration effort.
This comparison is published by Supermemory. Use the feature comparison to shortlist a deployment, then test it on your workload.
Separate the products being compared
Graphiti is a framework for temporal knowledge graphs. Zep provides a managed context platform built around graph-based memory. A feature or operating requirement of the framework should not automatically be attributed to the managed service.
Supermemory provides APIs for ingesting content, retrieving context, and maintaining user profiles. The exact deployment and feature availability should be checked against the current documentation and plan for the implementation you intend to use.
Write down which products and versions are in the pilot. “Zep versus Supermemory” is too vague if one side uses a managed service and the other uses a locally operated framework.
Supermemory, Zep, and Graphiti at a glance
| Decision | Supermemory | Managed Zep | Graphiti |
|---|---|---|---|
| Starting point | Memory APIs, content ingestion, retrieval, and user profiles | Managed graph-based context and memory | Framework for building temporal knowledge graphs |
| Persistent user context | Documented profiles alongside retrieval | Documented asynchronously updated user summaries | Evaluate the graph and context behavior you implement |
| Main pilot question | Do supported ingestion and memory flows reduce application work? | Does the managed graph and context workflow fit the task? | Is operating and extending a graph framework part of the intended architecture? |
| Evidence needed before purchase | Required sources, scopes, processing behavior, and workload cost | The same requirements under the same test conditions | Those requirements plus deployment and operating effort |
Start with Supermemory when ingestion, retrieval, and profiles match the application. Start with managed Zep when its graph-based context workflow matches it. Evaluate Graphiti separately when framework-level control is a requirement. Confirm current plan and deployment limits before committing.
Both support persistent user context
Zep documents a user summary derived from its user graph and updated asynchronously when new data arrives. Its default context block can include that summary.
Supermemory's user profiles separate relatively stable information from recent context and can be used alongside targeted retrieval.
For either system, test a user who corrects a preference and starts a new conversation. Check what is returned before and after processing completes, and whether historical questions receive the appropriate earlier fact.
Compare the same workflow
| Requirement | What to test |
|---|---|
| Conversation continuity | A returning user refers to a previous unresolved issue |
| Changing facts | A new statement corrects an earlier one without losing unrelated context |
| Document-heavy workflows | Real document formats, source references, refreshes, and deleted sources |
| User and team scopes | Personal facts and shared knowledge stay within authorized boundaries |
| Operational behavior | Retries, processing lag, outages, exports, and deletion |
| Cost | Ingestion, retrieval, model context, background work, and operating effort |
Check the integrations you actually need. “Has connectors” is less useful than testing whether your required source refreshes correctly and preserves the permissions your application relies on.
Treat benchmark results as configuration-specific
Keep the dataset, answering model, judge, retrieval budget, and aggregation settings visible. A recall metric is not interchangeable with answer accuracy. A provider's mean search latency is not another provider's p95 end-to-end latency.
If you cannot align published conditions, use the results to identify questions for a pilot rather than to calculate a performance advantage. The MemoryBench guide describes how to structure a reproducible evaluation.
Do not infer guaranteed production performance from a result on one public dataset. Your customer histories, source formats, and concurrency can produce different behavior.
Compare total operating cost
Price the same monthly workload using each provider's current plan and metering rules. Include any services that remain outside the selected product, and avoid assuming managed Zep requires the same operating work as a self-hosted Graphiti deployment.
Then add implementation and maintenance effort. A low API bill can coexist with substantial integration work; a higher service fee can be reasonable if it removes work your team would otherwise perform. The build-versus-buy framework provides an explicit model you can adapt.
Plan a migration before committing
Inventory source conversations, documents, identifiers, timestamps, and permissions. Decide which derived records can be exported and which must be rebuilt. Preserve stable application identifiers where possible.
Run a representative subset through the target system and compare answers with the current implementation. Include changed facts, absent evidence, deleted content, and scope boundaries. Keep a rollback path while validating the new write and read flows.
Estimate the migration timeline after inspecting the source data and testing the required lifecycle operations.
Choose on demonstrated fit
Consider Zep when its managed graph and context workflow matches the application you want to build. Consider Graphiti when operating and extending that framework is itself part of your intended architecture. Consider Supermemory when its ingestion, retrieval, profiles, and integrations reduce the work required by your workflow.
Test the strongest plausible implementation of each option. Choose the one that meets your quality, access, latency, and operating requirements, with tradeoffs you can explain and reproduce.
If Weaviate is also on the shortlist, compare Weaviate Database, Engram, and Supermemory as distinct offerings before applying the same pilot.
Include Supermemory in your comparison: open the console and run the same conversations, corrections, and permission tests you use for Zep. Compare the evidence and operating effort before choosing a provider.