Compare
Honest comparisons.
Choose the right tool — even when it isn't ours. Five AI memory layers, each steelmanned at its strongest, then measured against Genesys under one frozen LoCoMo protocol. Every competitor fact is dated and sourced; where a system is genuinely better, this section says so.
Five comparisons
Genesys vs. the field.
One graph you own, read everywhere over MCP — set against the alternatives, plainly. Pick the row closest to the decision you are actually making.
Genesys vsMem0The category's most-adopted default for cheap, accumulated facts. Genesys when a correction must be structure — a traversable supersede edge, not a read-time ranking guess.Genesys vsZepThe most architecturally serious rival — bi-temporal validity at enterprise scale. Genesys when the question is why the agent believes something, not just when a fact was valid.Genesys vsSupermemoryStrongest at the front of the pipeline — wide ingestion, connectors, auto-built profiles. Genesys is strongest at the back: how a memory links causally, ages, and can be explained.Genesys vsLettaA full stateful-agent runtime with self-editing tiered memory. Genesys is the memory underneath any runtime over MCP — engine-scored, auditable, and portable.Genesys vsCogneeThe closest in spirit — graph-native with a real lifecycle stage. Cognee leads on ingestion breadth; Genesys on causal recall you can audit, cite, and reproduce.
Every number in this section is measured under one frozen protocol — Genesys certified at
85.55 ± 0.37 on LoCoMo, and no competitor number quoted unless it was published under a comparable configuration. The method, the ten runs, and the caveats are the LoCoMo citation surface.Keep reading
Related.
Benchmark
LoCoMo results
The number and how to cite it, with the comparability caveats spelled out.
Concept
What is an AI memory layer?
Vector stores vs. temporal knowledge graphs vs. causal graphs — the honest tradeoffs.
Method
How we measure
The frozen protocol, the failure ledger, and the measured ceiling — the full dossier.
Product
The open-source engine
A causal-graph memory you own and can inspect — connected once, read everywhere.