Registry › Compare › Hindsight vs ReMe

Hindsight vs ReMe

Both are Grade A and 3.1 points apart, so choose on what you weigh most. Hindsight 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 Hindsight 86.4

Hindsight: Agent Memory That Learns

vectorize-io/hindsight · #83 overall · #6 Memory & Knowledge · coverage A (4/5)

Choose Hindsight if adoption matters most.

+2.0Adoption: 61.1k GitHub stars against 3.8k
A vs BEvidence coverage: 4 of 5 independent signal types, against 3

A ReMe 89.5

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

agentscope-ai/ReMe · #39 overall · #1 Memory & Knowledge · coverage B (3/5)

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

+2.3Safety / Integrity: 100% of recent commits signed, against 96%
+1.4Transparency: OSSF Scorecard 6.6 against 4.9

Where they differ

18.4

Safety / IntegrityReMe +2.3

20.7

12.7

TransparencyReMe +1.4

14.1

19.9

MaintenanceHindsight +0.4

19.5

17.3

AdoptionHindsight +2.0

15.3

+0.1

Runtime calibrationReMe +1.8

+1.9

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	86.4	89.5
Evidence grade	A	A
Coverage grade	A	B
Overall rank	#83	#39
Rank in Memory & Knowledge	#6	#1
GitHub stars	61.1k	3.8k
Last updated	1d ago	1d ago
Build provenance	Yes	Yes
OSSF Scorecard	4.9 / 10	6.6 / 10
License	MIT	Apache-2.0
Downloads	23k/wk	106k/wk
Trust dimensions (points earned)
Safety / integrity / 25	18.4	20.7
Identity & provenance / 18	18.0	18.0
Transparency / 17	12.7	14.1
Maintenance / 20	19.9	19.5
Adoption / 20	17.3	15.3
Runtime capability surface (full matrix)
MCP server	Implemented	Implemented
External providers	1 — 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 v4.4 →