Cognee

Graph memory when documents→ontology matter. Zep for temporal bipartite graphs; Mem0 for simplest hosted…

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Graph memory when documents→ontology matter. Zep for temporal bipartite graphs; Mem0 for simplest hosted memory; Letta for stateful runtime (ex-MemGPT). Strengths: Graph-native ECL memory; Generous free + cheap token meter; EU company + OSS self-host.

Overall

8.1

curated_estimate

confidence: high · as of 2026-09-14

Capability fit

8.4

Price / performance

8.8

Latency / reliability

7.6

Developer & agent DX

8.2

Privacy / data retention

8.5

Lock-in risk (higher = worse)

3.0

Maturity / track record

7.0

Lock-in risk: higher = more lock-in (worse). Overall already inverts this dimension.

Sources: Cognee pricing: https://www.cognee.ai/pricing · Cognee: https://www.cognee.ai

Graph memory when documents→ontology matter. Zep for temporal bipartite graphs; Mem0 for simplest hosted memory; Letta for stateful runtime (ex-MemGPT).

Strengths

· Graph-native ECL memory
· Generous free + cheap token meter
· EU company + OSS self-host

Weaknesses

· Enterprise is services-heavy BYOC
· Not a drop-in Mem0 API clone
· Young commercial cloud

Pricing notes

As of 2026-09-14 (cognee.ai/pricing): Free $0 (1 workspace, 1M tokens). Standard $1.00/1M tokens + $5/extra workspace/mo. Enterprise BYOC engagement (6–24 mo packages, startup discount). Apache-2.0 OSS with SQLite/LanceDB/Kuzu defaults. ECL pipeline → knowledge graph.

Regions: eu, globalLast reviewed: 2026-09-14Status: active

Sourced pricing

Contract status unavailable · no_sourced_price. Single normalized $/1M: null. Machine list: /api/pricing?provider=cognee

No sourced SKU row. Notes above stay prose.

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