Comparison
CognitiveX vs Mem0 vs Zep vs Letta vs Cognee
Five ways to give AI long-term memory, compared honestly. The column most comparisons skip is the one that matters: does the memory consolidate and learn, or only store and retrieve?
| Capability | CognitiveX | Mem0 | Zep | Letta | Cognee |
|---|---|---|---|---|---|
| Core model | Cognition engine + consolidation | Vector store + extraction | Temporal knowledge graph | OS-style agent memory | Graph-native pipelines |
| Learns repeated patterns | Yes | No | Partial (temporal) | No (self-editing) | No |
| Episodic to semantic promotion | Yes | No | No | No | No |
| Self-hostable | Hosted | Yes (Apache 2.0) | Cloud only (CE retired) | Yes | Yes |
| MCP-native | Yes | Via API | Via API | Via API | Via CLI |
| Best for | Memory that learns about you | Drop-in fact recall | Enterprise temporal recall | OS-style agent state | Graph from unstructured data |
Each tool is genuinely good at its job. CognitiveX is the option to reach for when storing is not enough and you want a memory that learns. The deeper write-up is in the full comparison post.
Want the memory that learns?
CognitiveX plugs in over MCP and keeps the LLM swappable.
Get started →The mem0 alternative