Zep and Supermemory both store memory for agents, but at different levels of structure. Zep builds a temporal knowledge graph — facts as entities and relationships that change over time. Supermemory offers a simpler hosted memory API. It's structure versus simplicity: how much modeling does your problem actually need? (Looking at the whole field? See our roundup of the best memory for AI agents.)
Zep vs Supermemory at a glance
| Zep | Supermemory | |
|---|---|---|
| Model | Temporal knowledge graph | Hosted memory API |
| Structure | High (entities + relationships) | Low (store/recall facts) |
| Shines at | Relationship + time reasoning | Fast, simple memory |
| Setup effort | Higher | Low |
When to choose Zep
Choose Zep when relationships and their evolution over time are central to what your agent reasons about — the graph structure is the point.
When to choose Supermemory
Choose Supermemory when you want plain, fast memory without modeling a graph, and simple recall covers your needs.
Where Kit for AI fits
Neither centers on reading your documents. If your agent must remember and also retrieve from files, URLs, and scans, Kit for AI combines remember/recall memory with document knowledge bases and hybrid retrieval — one API, no graph schema to design.
Related reading
Go deeper: our Zep alternative take · our Supermemory alternative take — or start with the complete guide to persistent memory for AI.
Want memory that reads your documents too, across every tool you use? Start free and connect over MCP or the REST API.