Registry › Compare › Hindsight vs ReMe

Hindsight vs ReMe

Both are Grade A and 2.5 points apart, so choose on what you weigh most. Hindsight leads on adoption and maintenance, 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 Hindsight 86.1

Hindsight: Agent Memory That Learns

vectorize-io/hindsight · #66 overall · #6 Memory & Knowledge · coverage A (4/5)

Choose Hindsight if adoption and maintenance matter most.

+3.1Adoption: 19.1k weekly downloads against 7.9k
+1.2Maintenance
A vs BEvidence coverage: 4 of 5 independent signal types, against 3

A ReMe 88.6

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.

+2.6Safety / Integrity: 100% of recent commits signed, against 93%
+1.5Transparency: OSSF Scorecard 7.1 against 5.3

Where they differ

18.8

Safety / IntegrityReMe +2.6

21.4

13.0

TransparencyReMe +1.5

14.5

19.9

MaintenanceHindsight +1.2

18.7

16.8

AdoptionHindsight +3.1

13.7

-0.4

Runtime calibrationReMe +2.7

+2.3

1 dimension identical: Identity 18.0 · Full evidence table

An independent, evidence-based trust comparison of Hindsight 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	Hindsightvectorize-io/hindsight	ReMeagentscope-ai/ReMe
HVTrust score	86.1	88.6
Evidence grade	A	A
Coverage grade	A	B
Overall rank	#66	#31
Rank in Memory & Knowledge	#6	#1
GitHub stars	40.9k	3.5k
Last updated	1d ago	1d ago
Build provenance	Yes	Yes
OSSF Scorecard	5.3 / 10	7.1 / 10
License	MIT	Apache-2.0
Downloads	19k/wk	8k/wk
Trust dimensions (points earned)
Safety / integrity / 25	18.8	21.4
Identity & provenance / 18	18.0	18.0
Transparency / 17	13.0	14.5
Maintenance / 20	19.9	18.7
Adoption / 20	16.8	13.7
Runtime capability surface (full matrix)
MCP server	Implemented	Implemented
External providers	2 — Anthropic, OpenAI	2 — Anthropic, OpenAI
Requires API keys	Yes	Yes
Plugin surface	plugins	plugins
Provenance drift	Unknown	Match

Open in the live compare tool → Hindsight 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 →