Memobase vs Supermemory
Agent-native side-by-side. Scores are curated estimates on a 0–10 scale. Lock-in: higher = worse. Prefer JTBD picks via /api/decide when choosing for a job.
| Dimension | Memobase | Supermemory |
|---|---|---|
| Overall | 7.9 | 7.9 |
| Capability fit | 8.0 | 8.4 |
| Price / performance | 9.0 | 7.8 |
| Latency / reliability | 7.4 | 8.0 |
| Developer & agent DX | 8.6 | 8.8 |
| Privacy / data retention | 8.2 | 8.2 |
| Lock-in risk (higher = worse) | 4.0 | 5.5 |
| Maturity / track record | 6.8 | 7.2 |
| Pricing | As of 2026-09-14 (memobase.ai): Free $0 / 500 credits/mo (store_memory=10 credits, search=1). Pro $9/mo / 5k credits. Unlimited $29/mo unlimited credits + SLA option. MCP at mcp.memobase.ai; APIs also via api.memobase.de… | 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… |
| Tagline | Depot pick for portable/user-profile memory (MCP across Claude/ChatGPT/agents). Mem0 remains general… | Managed context engine when you want memory without running a vector DB. Mem0 for simpler fact API; Cognee… |
Memobase
Depot pick for portable/user-profile memory (MCP across Claude/ChatGPT/agents). Mem0 remains general hosted-agent-memory default; Zep for temporal graphs; Letta for MemGPT-style runtime. Strengths: MCP-native cross-assistant memory; Cheap Pro tier; Profile/event model + graph retrieval.
Strengths
- MCP-native cross-assistant memory
- Cheap Pro tier
- Profile/event model + graph retrieval
Weaknesses
- Product surface spans personal vault + developer API
- Younger than Mem0
- CN/global endpoint split to reason about
Supermemory
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.
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
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