Supermemory

Managed context engine when you want memory without running a vector DB. Mem0 for simpler fact API; Cognee…

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Managed context engine when you want memory without running a vector DB. Mem0 for simpler fact API; Cognee for graph-native OSS. Strengths: Clear credit + rate card; Sub-300ms recall claims; Connectors + self-host on Scale.

Overall

7.9

curated_estimate

confidence: high · as of 2026-09-14

Capability fit

8.4

Price / performance

7.8

Latency / reliability

8.0

Developer & agent DX

8.8

Privacy / data retention

8.2

Lock-in risk (higher = worse)

5.5

Maturity / track record

7.2

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

Sources: Supermemory pricing: https://supermemory.ai/pricing/ · Supermemory: https://supermemory.ai

Managed context engine when you want memory without running a vector DB. Mem0 for simpler fact API; Cognee for graph-native OSS.

Strengths

· Clear credit + rate card
· Sub-300ms recall claims
· Connectors + self-host on Scale

Weaknesses

· Proprietary memory layer
· Can get spendy at Scale
· Less OSS than Mem0/Cognee

Pricing notes

As of 2026-09-14 (supermemory.ai/pricing): Free $5 credits/mo; Pro $19 ($20 credits); Max $100 ($130); Scale $399 ($600) with SOC2/HIPAA/self-host; Enterprise custom. Rate card in SM tokens — Memory plain $0.005/1k (rich $0.010); SuperRAG text $0.001/1k; Search $0.005/1k queries; ops $0.10/1k. Dedupes unchanged content.

Regions: global, usLast reviewed: 2026-09-14Status: active

Sourced pricing

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

No sourced SKU row. Notes above stay prose.

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