Registry › Compare › agentmemory vs EverOS

agentmemory vs EverOS

Both are Grade A and 1.1 points apart, so choose on what you weigh most. agentmemory leads on maintenance and adoption.

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 maintenance and adoption matter most.

+2.2Maintenance
+0.9Adoption: 6.7k weekly downloads against 5.6k

A EverOS 87.8

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 · #59 overall · #4 Memory & Knowledge · coverage B (3/5)

EverOS doesn't lead on any scored dimension in this pair.

Where they differ

20.6

Safety / IntegrityEverOS +0.2

20.8

20.0

Maintenanceagentmemory +2.2

17.8

15.8

Adoptionagentmemory +0.9

14.9

+0.1

Runtime calibrationEverOS +1.8

+1.9

2 dimensions identical: Identity 18.0 · Transparency 14.4 · Full evidence table

An independent, evidence-based trust comparison of agentmemory and EverOS, 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	EverOSEverMind-AI/EverOS
HVTrust score	88.9	87.8
Evidence grade	A	A
Coverage grade	B	B
Overall rank	#43	#59
Rank in Memory & Knowledge	#1	#4
GitHub stars	30.0k	13.7k
Last updated	today	today
Build provenance	Yes	Yes
OSSF Scorecard	6.9 / 10	7.0 / 10
License	Apache-2.0	Apache-2.0
Downloads	7k/wk	6k/wk
Trust dimensions (points earned)
Safety / integrity / 25	20.6	20.8
Identity & provenance / 18	18.0	18.0
Transparency / 17	14.4	14.4
Maintenance / 20	20.0	17.8
Adoption / 20	15.8	14.9
Runtime capability surface (full matrix)
MCP server	Implemented	Implemented
External providers	5 — Anthropic, Google Gemini, OpenAI, …	3 — Anthropic, OpenAI, OpenRouter
Requires API keys	Yes	Yes
Plugin surface	plugins	plugins
Provenance drift	Match	Match

Open in the live compare tool → agentmemory profile EverOS 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 →