CogneeAdaptive memory layer that helps AI agents learn from context over time.

Does cognee support multiple users, tenants, or workspaces?

Yes. Cognee Cloud is multi-tenant with isolated workspaces and per-session memory, so you can serve many users or customers from one deployment.

Asked by Quentin Lefevre · Mar 15, 2026

How accurate is cognee?

cognee is state of the art on BEAM, the agent memory benchmark — outperforming the previously reported state of the art on long-term, multi-session recall (79% vs. 73.4% at 100k tokens, 67% vs. 64.1% at 10M), without building a custom architecture for the benchmark.

Asked by Mei-Ling Wong · Mar 9, 2026

Is cognee cost-effective at scale?

Yes. cognee is built to keep memory costs flat as data grows — in our benchmarks it processes the same workloads at a fraction of a baseline LLM approach's cost.

Asked by Henrik Dahl · Mar 5, 2026

Which databases and data sources does cognee support?

cognee connects to the data sources your team already uses — Slack, Notion, Google Drive, GitHub, Confluence, Jira, Dropbox, Amazon S3, Salesforce, and more. Under the hood it works with graph and vector backends including Kuzu, NetworkX, Neo4j, FalkorDB, LanceDB, Qdrant, Milvus, Weaviate, pgvector, and Redis, so you can match your existing infrastructure.

Asked by Celia Ramirez · Feb 28, 2026

Can I run cognee on my existing Postgres database?

Yes. cognee runs on Postgres with pgvector, so you can add agent memory to infrastructure you already operate, instead of standing up a new database.

Asked by Amos Fältskog · Feb 27, 2026