Zep vs Supermemory
Detailed side-by-side comparison to help you choose the right tool
Zep
🔴DeveloperAgent memory
Zep provides agent memory capabilities for teams building and operating AI applications. It supports the MCP ecosystem.
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FreeSupermemory
🔴DeveloperAI Knowledge Tools
Supermemory is the memory and context layer for AI agents — a graph-based memory API with extractors, connectors, and retrieval for personal apps and enterprise stacks.
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$0Feature Comparison
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💡 Our Take
Choose Supermemory if you need a complete memory graph (not just partial), consumer plugins, document extractors, and an open eval platform — capabilities Zep does not offer per Supermemory's own comparison. Choose Zep if you are already committed to its temporal knowledge graph approach and your use case is narrowly focused on conversational memory for chatbots.
Zep - Pros & Cons
Pros
- ✓tracks when facts change
- ✓ingestion-centered pricing suits read-heavy agents
- ✓several SDK and deployment options
Cons
- ✗credit consumption needs real payload testing
- ✗free allowance is small
- ✗webhooks and analytics require a higher tier
Supermemory - Pros & Cons
Pros
- ✓Graph + extractor approach catches facts that vector RAG misses
- ✓Connector library means real productivity in days, not weeks
- ✓Free tier is generous enough to ship a hobby project end to end
- ✓Pro at $19/month is one of the cheapest production memory APIs
- ✓MemoryBench research signals the team is investing in evaluation rigor
Cons
- ✗Scale jumps from $19 to $399 — mid-volume teams have a steep step
- ✗Graph queries add latency vs raw vector lookups
- ✗Newer than Mem0/Zep, so ecosystem and community examples are smaller
- ✗Closed source on the platform side; self-host limited to enterprise
- ✗Connector reliability depends on third-party APIs (Slack, Notion, etc.)
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