Where the other memory layers are the better choice.
Each page opens with what the competitor does better, because that is the part you can check. Then the differences that are architectural rather than editorial.
Both give an agent memory that survives the session. Mem0 runs a model to maintain it; Khwan's read and write paths make no model calls at all.
Read →vs ZepZep keeps facts accurate over time, at enterprise scale. Khwan captures the moment a person says the agent was wrong. Those are different problems.
Read →vs LettaLetta runs the agent. Khwan runs nothing — keep your harness, keep your model, add memory over MCP.
Read →Every memory layer here pays a model to maintain your memory — compression, graph construction, background consolidation, sleep-time compute. Khwan’s read and write paths make no model calls at all. Distillation happens once, overnight, on a schedule: a real production pass was 8 brains and 245 stored turns distilled into 11 standing lessons, for $0.0094.