EverOS vs Mem0
Both are Grade A and 2.2 points apart, so choose on what you weigh most. EverOS leads on supply-chain integrity and transparency; Mem0 leads on adoption and rests on broader evidence. Note: EverOS's evidence coverage is thinner (coverage B vs A) — its score rests on fewer independent signal types.
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
Choose EverOS if supply-chain integrity and transparency matter most.
- +1.3Safety / Integrity: OSSF Scorecard 7.0 against 5.5
- +1.2Transparency: OSSF Scorecard 7.0 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 adoption matters most.
- +4.6Adoption: 707.4k weekly downloads against 4.7k
- A vs BEvidence coverage: 4 of 5 independent signal types, against 3
Where they differ
1 dimension identical: Identity 18.0 · Full evidence table
An independent, evidence-based trust comparison of EverOS 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 | EverOSEverMind-AI/EverOS | Mem0mem0ai/mem0 |
|---|---|---|
| HVTrust score | 88.2 | 86.0 |
| Evidence grade | A | A |
| Coverage grade | B | A |
| Overall rank | #51 | #83 |
| Rank in Memory & Knowledge | #2 | #8 |
| GitHub stars | 13.6k | 67.6k |
| Last updated | today | today |
| Build provenance | Yes | Yes |
| OSSF Scorecard | 7.0 / 10 | 5.5 / 10 |
| License | Apache-2.0 | Apache-2.0 |
| Downloads | 5k/wk | 707k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 20.7 | 19.4 |
| Identity & provenance / 18 | 18.0 | 18.0 |
| Transparency / 17 | 14.4 | 13.2 |
| Maintenance / 20 | 18.5 | 18.2 |
| Adoption / 20 | 14.8 | 19.4 |
| Runtime capability surface (full matrix) | ||
| MCP server | Implemented | Implemented |
| External providers | 3 — Anthropic, OpenAI, OpenRouter | 14 — Amazon Bedrock, Anthropic, Cohere, … |
| Requires API keys | Yes | Yes |
| Plugin surface | plugins | 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 →