Registry › Compare › EverOS vs LanceDB

EverOS vs LanceDB

Both are Grade A and 0.3 points apart, so choose on what you weigh most. EverOS leads on supply-chain integrity and transparency; LanceDB leads on maintenance and adoption, and rests on broader evidence.

A EverOS 87.6

One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.

EverMind-AI/EverOS · #66 overall · #4 Memory & Knowledge · coverage B (3/5)

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

+0.8Safety / Integrity: OSSF Scorecard 7.0 against 6.1
+0.7Transparency: OSSF Scorecard 7.0 against 6.1

A LanceDB 87.9

Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.

lancedb/lancedb · #61 overall · #3 Memory & Knowledge · coverage A (4/5)

Choose LanceDB if maintenance and adoption matter most.

+3.4Adoption: 1.8M weekly downloads against 3.9k
+2.2Maintenance
A vs BEvidence coverage: 4 of 5 independent signal types, against 3

Where they differ

20.8

Safety / IntegrityEverOS +0.8

20.0

14.4

TransparencyEverOS +0.7

13.7

17.7

MaintenanceLanceDB +2.2

19.9

14.7

AdoptionLanceDB +3.4

18.1

+2.0

Runtime calibrationEverOS +3.8

-1.8

1 dimension identical: Identity 18.0 · Full evidence table

An independent, evidence-based trust comparison of EverOS and LanceDB, 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	LanceDBlancedb/lancedb
HVTrust score	87.6	87.9
Evidence grade	A	A
Coverage grade	B	A
Overall rank	#66	#61
Rank in Memory & Knowledge	#4	#3
GitHub stars	13.8k	11.8k
Last updated	1d ago	1d ago
Build provenance	Yes	Yes
OSSF Scorecard	7.0 / 10	6.1 / 10
License	Apache-2.0	Apache-2.0
Downloads	4k/wk	1.8M/wk
Trust dimensions (points earned)
Safety / integrity / 25	20.8	20.0
Identity & provenance / 18	18.0	18.0
Transparency / 17	14.4	13.7
Maintenance / 20	17.7	19.9
Adoption / 20	14.7	18.1
Runtime capability surface (full matrix)
MCP server	Implemented	—
External providers	3 — Anthropic, OpenAI, OpenRouter	4 — Amazon Bedrock, Cohere, Google Gemini, …
Requires API keys	Yes	No
Plugin surface	plugins	plugins
Provenance drift	Match	Unknown

Open in the live compare tool → EverOS profile LanceDB 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 →