NOAN 每月有 3,663 次造訪，月增率 -15.7%，定價模式為付費。supermemory 每月有 156,579 次造訪，成長率 -7.7%，定價模式為需聯絡報價。
NOAN is a fact infrastructure platform for agentic companies: it stores your company's verified, versioned facts in one place and serves them to every AI agent, app, and website over REST and MCP. Instead of agents guessing from stale memory or retrieval, they read the current, attributed version of the truth.
為 AI Agent 提供持久記憶與持續學習的記憶引擎
| 面向／指標 | | |
|---|---|---|
| 官方網域 | getnoan.com | supermemory.ai |
| 定價模式 | 付費 | 需聯絡報價 |
| 每月造訪次數 | 3663 (3,663) | 15.66萬 (156,579) |
| 月流量變化量 | -684 (-15.7%) | -1.3萬 (-7.7%) |
| 主要市場與市佔 | 🇺🇸 美國 (100%) | 🇺🇸 美國 (46.2%) |
| 每月直接造訪 | 1450 | 7.12萬 |
| 使用者評分 | 4.4 | 4.5 |
| 支援平台 | 網站 | 網站 |
NOAN is a fact infrastructure platform for agentic companies: it stores your company's verified, versioned facts in one place and serves them to every AI agent, app, and website over REST and MCP. Instead of agents guessing from stale memory or retrieval, they read the current, attributed version of the truth.
Each fact keeps its date, sources, and the person who verified it, so nothing is silently overwritten and agents can show the receipt behind an answer.
Scope one key per agent, app, or site and limit it to the stacks it needs, so the right keys read the right facts and nothing else.
Turn review on for a project or a single key so any write an agent proposes waits for a human to verify it before it can be read.
See your entire fact base as it stood on any past date, so you can answer what was true when a decision was made.
為 AI Agent 提供持久記憶與持續學習的記憶引擎
專用模型在既有上下文上執行萃取、合併、推論與遺忘，讓記憶圖譜持續優化，而不只是不斷累積。
每條學習結果都與相關實體、來源與時刻建立關聯，不僅儲存內容，還保留帶有時間維度的關係圖。
記憶位於模型廠商之外，透過 API、SDK、外掛與 MCP 使用，上下文可跨模型與工具遷移。
相關記憶在請求時以 token 形式注入提示詞，讓 Agent 獲得貼合需求的上下文，而無需攜帶無限增長的對話紀錄。
專項更強Focuses on tool integrations and authentication for agents, complementing memory engines rather than storing cross-session context.
Scale is an enterprise AI company that supplies the data, evaluation and deployment layers behind production AI. Its Data Engine sources and labels training data for frontier models, its evaluation work benchmarks model capability, and its platform teams help enterprises and governments move AI systems from pilot into real operations.
Scale is an enterprise AI company that supplies the data, evaluation and deployment layers behind production AI. Its Data Engine sources and labels training data for frontier models, its evaluation work benchmarks model capability, and its platform teams help enterprises and governments move AI systems from pilot into real operations.
專項更強提供企業級的可擴展向量搜尋與 RAG 儲存，但缺乏 supermemory 的自動化代理記憶體圖譜抽象功能。
