FAISS vs Mem0
Mem0 leads on trust: 84.2/100 (Grade A) against 75.6/100 (Grade B), a 8.6-point gap. FAISS leads on transparency and maintenance; Mem0 leads on supply-chain integrity and provenance.
A library for efficient similarity search and clustering of dense vectors.
Choose FAISS if transparency and maintenance matter most.
- +3.9Maintenance: last push 1d ago, against 4d ago
- +0.5Transparency: OSSF Scorecard 6.1 against 5.5
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
Choose Mem0 if supply-chain integrity and provenance matter most.
- +11.8Safety / Integrity: 100% of recent commits signed, against 0%
- +7.2Identity / Provenance: package provenance attested, against none
Where they differ
An independent, evidence-based trust comparison of FAISS and Mem0, two Memory & Knowledge projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
Full evidence
| Signal | FAISSfacebookresearch/faiss | Mem0mem0ai/mem0 |
|---|---|---|
| HVTrust score | 75.6 | 84.2 |
| Evidence grade | B | A |
| Coverage grade | A | A |
| Overall rank | #247 | #108 |
| Rank in Memory & Knowledge | #12 | #10 |
| GitHub stars | 41.3k | 68.3k |
| Last updated | 1d ago | 4d ago |
| Build provenance | No | Yes |
| OSSF Scorecard | 6.1 / 10 | 5.5 / 10 |
| License | MIT | Apache-2.0 |
| Downloads | 2.9M/wk | 885k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 7.6 | 19.4 |
| Identity & provenance / 18 | 10.8 | 18.0 |
| Transparency / 17 | 13.7 | 13.2 |
| Maintenance / 20 | 19.8 | 15.9 |
| Adoption / 20 | 19.7 | 19.5 |
| Runtime capability surface (full matrix) | ||
| MCP server | — | Implemented |
| External providers | — | 14 — Amazon Bedrock, Anthropic, Cohere, … |
| Requires API keys | No | Yes |
| Plugin surface | — | plugins |
| Provenance drift | Match | Partial |
How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption, scaled by an evidence-confidence factor. Grade bands: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Signals refresh daily. Full methodology v4.4 →