Registry › Compare › Cognee vs Hindsight

Cognee vs Hindsight

Both are Grade A and 0.2 points apart, so choose on what you weigh most. Cognee leads on supply-chain integrity and transparency; Hindsight rests on broader evidence. Note: Cognee's evidence coverage is thinner (coverage B vs A) — its score rests on fewer independent signal types.

A Cognee 85.9

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free

topoteretes/cognee · #80 overall · #6 Memory & Knowledge · coverage B (3/5)

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

+1.6Transparency: OSSF Scorecard 7.0 against 5.0
+0.9Safety / Integrity: OSSF Scorecard 7.0 against 5.0

A Hindsight 85.7

Hindsight: Agent Memory That Learns

vectorize-io/hindsight · #84 overall · #8 Memory & Knowledge · coverage A (4/5)

Choose Hindsight if breadth of evidence matters most.

A vs BEvidence coverage: 4 of 5 independent signal types, against 3

Where they differ

19.2

Safety / IntegrityCognee +0.9

18.3

14.4

TransparencyCognee +1.6

12.8

16.7

AdoptionHindsight +0.4

17.1

-2.3

Runtime calibrationHindsight +1.9

-0.4

2 dimensions identical: Identity 18.0 · Maintenance 19.9 · Full evidence table

An independent, evidence-based trust comparison of Cognee and Hindsight, 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	Cogneetopoteretes/cognee	Hindsightvectorize-io/hindsight
HVTrust score	85.9	85.7
Evidence grade	A	A
Coverage grade	B	A
Overall rank	#80	#84
Rank in Memory & Knowledge	#6	#8
GitHub stars	32.5k	51.2k
Last updated	2d ago	1d ago
Build provenance	Yes	Yes
OSSF Scorecard	7.0 / 10	5.0 / 10
License	Apache-2.0	MIT
Downloads	25k/wk	21k/wk
Trust dimensions (points earned)
Safety / integrity / 25	19.2	18.3
Identity & provenance / 18	18.0	18.0
Transparency / 17	14.4	12.8
Maintenance / 20	19.9	19.9
Adoption / 20	16.7	17.1
Runtime capability surface (full matrix)
MCP server	Implemented	Implemented
External providers	9 — Amazon Bedrock, Anthropic, Groq, …	2 — Anthropic, OpenAI
Requires API keys	Yes	Yes
Plugin surface	extensions	plugins
Provenance drift	Match	Unknown

Open in the live compare tool → Cognee profile Hindsight 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 →