Memory your agents own and reason on.
Supermemory is built for conversational recall: plug-and-play, with a broad set of connectors. Cognee is a self-evolving memory engine that reasons: it auto-generates ontologies and gets more useful every time your agents reuse it. Your agents will start learning from their mistakes.
What sets cognee apart.
Self-evolving
Supermemory is a good fit when the job is remembering what was said and surfacing it quickly. With Cognee, every correction and action feeds back, so cognee's memory gets more useful the more your agents work with it. The result is fewer agent mistakes.
Customizable to your domain
Cognee auto-generates ontologies and supports custom data schemas, so your memory mirrors your domain instead of a generic chunk index.
One Postgres, no graph database
Cognee runs the entire layer on a single Postgres instance you already operate. There is no separate vector or graph service to set up and maintain.
Yours to keep
Cognee is open source (Apache 2.0), and your memory is exportable at any time via open COGX or standard graph formats. Supermemory operates a managed cloud with an open core (MIT).
Supermemory remembers.Cognee remembers and improves.
Plug-and-play conversational memory
For an agent that only needs to recall a conversation, Supermemory works. Supermemory is built for conversational recall: plug-and-play, with a broad set of connectors around a dedicated vector store. It is a good fit when the job is remembering what was said and surfacing it.
Memory that evolves and is yours
Cognee is built for teams whose agents need to reason over memory, beyond simple recall. We built a memory layer many agents read from and write back to. It auto-generates ontologies and supports custom schemas, so your memory mirrors your domain instead of a generic chunk index. It is self-evolving: every correction and reuse feeds back. When many agents share one knowledge layer and learn across it, cognee fits best.
Cognee vs. Supermemory at a glance.
Managed memory on a vector-graph engine
Self-evolving memory that curates itself
Hybrid retrieval with vector similarity and graph traversal
Hybrid search with no separate index to build or keep in sync
A proprietary engine with internals not disclosed
A single Postgres for graph, vectors, sessions, and metadata
Managed cloud or self-hosted binary
Local, managed cloud, or on the edge
Open core (MIT)
Open source (Apache 2.0), with memory you can export anytime via open COGX
Conversational recall and per-user personalization
From agent personalization to multi-agent environments on one shared memory
How we measure memory.
Supermemory measures retrieval recall and token efficiency: how few tokens it takes to find the right memories. Cognee evaluates on BEAM, a long-horizon benchmark that measures reasoning accuracy across many turns.
Supermemory measures Recall@k on LongMemEval, optimising for how few tokens are needed to retrieve the right memories. Cognee is evaluated on BEAM, a long-horizon benchmark measuring reasoning accuracy when evidence is scattered across many turns. Full methodology and reproducible benchmark code are publicly available.