OpenMemory MCP
코딩 어시스턴트 · 388.8K 월 방문
OpenMemory MCP는 AI 도구를 위한 영구적이고 비공개적인 메모리를 제공하는 로컬 우선 애플리케이션입니다. 사용자의 상호 작용, 선호도 및 컨텍스트를 장치에 안전하게 저장, 구성 및 관리하여 Claude 및 Cursor와 같은 다양한 AI 플랫폼에서 개인화되고 연속적인 대화를 가능하게 합니다.
VS
supermemory
LLM · 174.2K 월 방문
supermemory는 AI 시대를 위한 메모리 API 및 인프라로, 개발자가 장기적이고 영구적인 메모리를 갖춘 LLM을 구축할 수 있도록 설계되었습니다. 이는 유한한 컨텍스트 창의 한계를 극복하여 과거의 상호 작용과 정보를 여러 플랫폼에서 기억하는 지능적이고 상황 인식적인 AI 에이전트, 챗봇 및 애플리케이션을 만들 수 있게 합니다.
제품 개요
OpenMemory MCP 제품 개요
OpenMemory MCP는 AI 도구를 위한 영구적이고 비공개적인 메모리를 제공하는 로컬 우선 애플리케이션입니다. 사용자의 상호 작용, 선호도 및 컨텍스트를 장치에 안전하게 저장, 구성 및 관리하여 Claude 및 Cursor와 같은 다양한 AI 플랫폼에서 개인화되고 연속적인 대화를 가능하게 합니다.
Preview
supermemory 제품 개요
supermemory는 AI 시대를 위한 메모리 API 및 인프라로, 개발자가 장기적이고 영구적인 메모리를 갖춘 LLM을 구축할 수 있도록 설계되었습니다. 이는 유한한 컨텍스트 창의 한계를 극복하여 과거의 상호 작용과 정보를 여러 플랫폼에서 기억하는 지능적이고 상황 인식적인 AI 에이전트, 챗봇 및 애플리케이션을 만들 수 있게 합니다.
Preview
Detailed feature comparison
OpenMemory MCP vs supermemory monthly traffic
Compare OpenMemory MCP and supermemory by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the OpenMemory MCP vs supermemory monthly traffic comparison, OpenMemory MCP currently shows 388.8K visits and supermemory shows 174.2K; OpenMemory MCP has about 2.2 times the visible traffic of supermemory, an absolute difference of about 214.6K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
OpenMemory MCP is registered at the mem0.ai/openmemory-mcp subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.
OpenMemory MCP monthly traffic:
Latest traffic
월 방문
388.8K
평균 방문 시간
1:49
방문당 페이지
3.29
이탈률
39.92%
Data updated 2026-06-15
Monthly traffic trend
- 2026/1: 247.9K 월 방문
- 2026/2: 275.5K 월 방문
- 2026/3: 362.4K 월 방문
- 2026/4: 339.5K 월 방문
- 2026/5: 388.8K 월 방문
주요 지역
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 44.61% | 173.4K |
| 🇨🇳China | 23.09% | 89.8K |
| 🇮🇳India | 16.87% | 65.6K |
| 🇭🇰Hong Kong | 10.56% | 41.1K |
| 🇩🇪Germany | 4.87% | 18.9K |
트래픽 소스
| Source type | Percentage | Traffic |
|---|---|---|
| 직접 | 78.15% | 303.8K |
| 리퍼럴 | 19.83% | 77.1K |
| 이메일 | 2.02% | 7.9K |
검색 키워드
claude ai pricingclaude plansclaude priceclaude pricingmem0
supermemory monthly traffic:
Latest traffic
월 방문
174.2K
평균 방문 시간
1:11
방문당 페이지
3.55
이탈률
42.55%
Data updated 2026-06-15
Monthly traffic trend
- 2025/9: 68.9K 월 방문
- 2026/1: 140.4K 월 방문
- 2026/2: 216.9K 월 방문
- 2026/3: 242.5K 월 방문
- 2026/4: 244.7K 월 방문
- 2026/5: 174.2K 월 방문
주요 지역
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 56.33% | 98.1K |
| 🇮🇳India | 22.09% | 38.5K |
| 🇳🇬Nigeria | 8.47% | 14.8K |
| 🇨🇦Canada | 6.67% | 11.6K |
| 🇹🇭Thailand | 6.44% | 11.2K |
트래픽 소스
| Source type | Percentage | Traffic |
|---|---|---|
| 직접 | 84.44% | 147.1K |
| 리퍼럴 | 14.32% | 24.9K |
| 이메일 | 1.24% | 2.2K |
검색 키워드
super memorysupermemorysuper memory aisupermemory aisupermemory mcp
Traffic-based selection guidance: OpenMemory MCP is registered under a mem0.ai subpath, so its large visible total may include the host platform. The current data does not justify choosing OpenMemory MCP for traffic alone; shortlist by unique taxonomy and use case, then validate with the same tasks.
Usage comparison
Compare the core capabilities of OpenMemory MCP and supermemory
OpenMemory MCP Core features
지식 관리
코딩 어시스턴트
데이터 제어
supermemory Core features
지식 관리
LLM
API 및 통합
Use cases
OpenMemory MCP Use cases
컨텍스트 관리
개발자 도구
대규모 언어 모델
상호 운용성
지식 기반
로컬 우선
기억
개인 AI
프라이버시
생산성
supermemory Use cases
컨텍스트 관리
개발자 도구
대규모 언어 모델
AI 에이전트
API
챗봇
지식 관리
장기 기억
메모리 API
검색 증강 생성
두 번째 뇌
OpenMemory MCP vs supermemory：In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth OpenMemory MCP vs supermemory comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. OpenMemory MCP is primarily listed under “코딩 어시스턴트”, while supermemory is primarily listed under “LLM”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (OpenMemory MCP: 코딩 어시스턴트; supermemory: LLM); Product type (OpenMemory MCP: App; supermemory: Website); Monthly visits (OpenMemory MCP: 388.8K; supermemory: 174.2K); Monthly growth (OpenMemory MCP: 14.5%; supermemory: -28.8%); Favorites (OpenMemory MCP: 137; supermemory: 122). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the OpenMemory MCP vs supermemory monthly traffic comparison, OpenMemory MCP currently shows 388.8K visits and supermemory shows 174.2K; OpenMemory MCP has about 2.2 times the visible traffic of supermemory, an absolute difference of about 214.6K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
OpenMemory MCP is registered at the mem0.ai/openmemory-mcp subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.
OpenMemory MCP is registered under a mem0.ai subpath, so its large visible total may include the host platform. The current data does not justify choosing OpenMemory MCP for traffic alone; shortlist by unique taxonomy and use case, then validate with the same tasks.
Product positioning, use cases, and roles
OpenMemory MCP and supermemory currently overlap in shared categories: 지식 관리; shared tags: 컨텍스트 관리, 개발자 도구 및 대규모 언어 모델. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
OpenMemory MCP's unique categories/tags are 코딩 어시스턴트, 데이터 제어, 상호 운용성, 지식 기반, 로컬 우선, 기억, 개인 AI 및 프라이버시; supermemory's are LLM, API 및 통합, AI 에이전트, API, 챗봇, 지식 관리, 장기 기억 및 메모리 API. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
OpenMemory MCP has no verified rating, 0 comments, 137 favorites, and 143 likes；supermemory has no verified rating, 0 comments, 122 favorites, and 100 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate OpenMemory MCP first
Put OpenMemory MCP on the priority trial list when the task aligns with “코딩 어시스턴트” and especially 코딩 어시스턴트, 데이터 제어, 상호 운용성, 지식 기반, 로컬 우선 및 기억. This follows recorded positioning and does not imply unlisted capabilities are absent.
OpenMemory MCP also currently records: pricing is freemium, product type is app, 388.8K monthly visits shown for the registered host (subpage scope unknown), no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate supermemory first
Put supermemory on the priority trial list when the task aligns with “LLM” and especially LLM, API 및 통합, AI 에이전트, API, 챗봇 및 지식 관리. This follows recorded positioning and does not imply unlisted capabilities are absent.
supermemory also currently records: pricing is freemium, product type is website, 174.2K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in OpenMemory MCP and supermemory, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
비교 FAQ
How should I choose between OpenMemory MCP and supermemory?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.