Registry › Compare › agentmemory vs LanceDB

agentmemory vs LanceDB

Both are Grade A and 0.9 points apart, so choose on what you weigh most. agentmemory leads on supply-chain integrity and transparency; LanceDB leads on adoption and rests on broader evidence. Note: agentmemory's evidence coverage is thinner (coverage B vs A) — its score rests on fewer independent signal types.

A agentmemory 88.9

#1 Persistent memory for AI coding agents based on real-world benchmarks

rohitg00/agentmemory · #43 overall · #1 Memory & Knowledge · coverage B (3/5)

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

+0.7Transparency: OSSF Scorecard 6.9 against 6.1
+0.6Safety / Integrity: OSSF Scorecard 6.9 against 6.1

A LanceDB 88.0

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

lancedb/lancedb · #56 overall · #3 Memory & Knowledge · coverage A (4/5)

Choose LanceDB if adoption matters most.

+2.3Adoption: 1.8M weekly downloads against 6.7k
A vs BEvidence coverage: 4 of 5 independent signal types, against 3

Where they differ

20.6

Safety / Integrityagentmemory +0.6

20.0

14.4

Transparencyagentmemory +0.7

13.7

15.8

AdoptionLanceDB +2.3

18.1

+0.1

Runtime calibrationagentmemory +1.9

-1.8

2 dimensions identical: Identity 18.0 · Maintenance 20.0 · Full evidence table

An independent, evidence-based trust comparison of agentmemory 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	agentmemoryrohitg00/agentmemory	LanceDBlancedb/lancedb
HVTrust score	88.9	88.0
Evidence grade	A	A
Coverage grade	B	A
Overall rank	#43	#56
Rank in Memory & Knowledge	#1	#3
GitHub stars	30.0k	11.8k
Last updated	today	today
Build provenance	Yes	Yes
OSSF Scorecard	6.9 / 10	6.1 / 10
License	Apache-2.0	Apache-2.0
Downloads	7k/wk	1.8M/wk
Trust dimensions (points earned)
Safety / integrity / 25	20.6	20.0
Identity & provenance / 18	18.0	18.0
Transparency / 17	14.4	13.7
Maintenance / 20	20.0	20.0
Adoption / 20	15.8	18.1
Runtime capability surface (full matrix)
MCP server	Implemented	—
External providers	5 — Anthropic, Google Gemini, OpenAI, …	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 → agentmemory 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 →