Registry › Compare › Mem0 vs ReMe

Mem0 vs ReMe

Both are Grade A and 2.7 points apart, so choose on what you weigh most. Mem0 leads on adoption and rests on broader evidence; ReMe leads on supply-chain integrity and transparency. Note: ReMe's evidence coverage is thinner (coverage B vs A) — its score rests on fewer independent signal types.

A Mem0 86.0

The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.

mem0ai/mem0 · #69 overall · #7 Memory & Knowledge · coverage A (4/5)

Choose Mem0 if adoption matters most.

  • +5.5Adoption: 488k weekly downloads against 7.5k
  • A vs BEvidence coverage: 4 of 5 independent signal types, against 3
A ReMe 88.7

ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.

agentscope-ai/ReMe · #31 overall · #1 Memory & Knowledge · coverage B (3/5)

Choose ReMe if supply-chain integrity and transparency matter most.

  • +2.0Safety / Integrity: OSSF Scorecard 7.1 against 5.5
  • +1.3Transparency: OSSF Scorecard 7.1 against 5.5

Where they differ

19.4
Safety / IntegrityReMe +2.0
21.4
13.2
TransparencyReMe +1.3
14.5
18.5
MaintenanceReMe +0.3
18.8
19.2
AdoptionMem0 +5.5
13.7
-2.3
Runtime calibrationReMe +4.6
+2.3

1 dimension identical: Identity 18.0 · Full evidence table

An independent, evidence-based trust comparison of Mem0 and ReMe, 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 Mem0mem0ai/mem0 ReMeagentscope-ai/ReMe
HVTrust score 86.0 88.7
Evidence grade A A
Coverage grade A B
Overall rank #69 #31
Rank in Memory & Knowledge #7 #1
GitHub stars 66.3k 3.5k
Last updated 4d ago today
Build provenance Yes Yes
OSSF Scorecard 5.5 / 10 7.1 / 10
License Apache-2.0 Apache-2.0
Downloads 488k/wk 7k/wk
Trust dimensions (points earned)
Safety / integrity / 25 19.4 21.4
Identity & provenance / 18 18.0 18.0
Transparency / 17 13.2 14.5
Maintenance / 20 18.5 18.8
Adoption / 20 19.2 13.7
Runtime capability surface (full matrix)
MCP server Implemented Implemented
External providers 14 — Amazon Bedrock, Anthropic, Cohere, … 2 — Anthropic, OpenAI
Requires API keys Yes Yes
Plugin surface plugins plugins
Provenance drift Partial Match
Open in the live compare tool → Mem0 profile ReMe profile More Memory & Knowledge →

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 v4.3 →