Atlaso Memory

ai.atlaso由 atlaso.ai 發布官方發布者v1.0.2更新於 Oct 26, 2026

Atlaso, the AI memory layer: one shared, persistent memory for every AI tool you connect.

已驗證Streamable HTTP可網頁執行效率與工作流知識與記憶

概覽

AI 產生的概覽

託管式記憶層，讓任何 MCP 用戶端共用一份持久記憶，保存決策、偏好與脈絡，並在不同 AI 工具間延續。

可以做什麼
  • 依查詢檢索已存記憶，回傳排序後的筆記清單，並標示該記憶是已確定或有爭議
  • 儲存持久筆記，例如決策、偏好或注意事項，並標註極性
  • 依時間倒序列出最近的記憶
  • 依 id 永久刪除某筆記憶
  • 查看連線狀態、已存與待處理記憶數量以及記憶健康分數
適用情境
適合同時使用多個 MCP 用戶端或編碼工具、希望脈絡、決策與偏好在工具之間延續，而不必在每個對話中重新說明的情境。
執行需求
需要支援 Streamable HTTP 的遠端 MCP 用戶端；連線託管端點並透過 OAuth 2.1（含動態用戶端註冊）授權，無需貼上 API 金鑰，也無需自行架設。終端機工具可選裝 CLI 以自動召回與記錄。免費方案限一台裝置與一個工具，更多需付費。
安裝前請注意
forget 工具會永久刪除記憶且無法復原。記憶存放在第三方託管服務，助理儲存的內容會離開本機；README 稱會清除機密資訊並加密傳輸與儲存，但仍應留意被記住的內容。付費方案為每月 10 或 25 美元。可選的安裝腳本會建立帳號並連結本機。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Atlaso Memory，將其新增到工作區。
  2. 連接 所需的 憑證。它們會被私密儲存，絕不會在公開頁面上展示。
  3. 為需要使用其工具的對話啟用該服務。

Web executable，透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式，或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南，先向你展示發布者、端點和登入方式，經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/ai.atlaso%2Fmcp/install.md，並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前，先告訴我它的發布者、端點和登入方式，等我確認。不要把 API 金鑰寫進命令或我會提交的檔案；問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。

{
  "mcpServers": {
    "atlaso-memory": {
      "type": "http",
      "url": "https://mcp.atlaso.ai/mcp"
    }
  }
}

README

Atlaso — remote MCP server

Atlaso is an AI memory layer: one shared, persistent memory across every AI tool you connect.

Tell it once in one tool, and it's already there in the next. Atlaso recalls the context that matters before each turn and captures the durable facts after — your decisions, your preferences, and where you left off.

This repository documents Atlaso's hosted MCP server. Atlaso is a managed service, so there is nothing to self-host and no server code here — you connect to the endpoint below and authorize in your browser.

  • Endpoint: https://mcp.atlaso.ai/mcp
  • Transport: Streamable HTTP
  • Auth: OAuth 2.1 with dynamic client registration — your MCP client walks you through it; there are no API keys to paste
  • Website: https://www.atlaso.ai
  • Docs: https://docs.atlaso.ai

Why this exists

Claude Desktop, Zed, Cline and other MCP clients have no memory of their own that reaches your coding tools. This hosted server gives any MCP client the same memory your coding tools share: decisions made in long chats, research and notes, preferences that should follow you. Memory works when the model calls the tools (remember, recall, forget); a skill can make that routine. Add https://mcp.atlaso.ai/mcp as a connector and sign in. Claude Desktop · Any MCP tool

Connect

Any MCP client that supports remote servers can connect. Add https://mcp.atlaso.ai/mcp as a connector and authorize in the browser when prompted.

Claude Desktop / claude.ai — Settings → Connectors → Add custom connector → paste the endpoint → Connect → authorize.

Cursor, VS Code, and other MCP clients — add it as a remote MCP server:

json
{  "mcpServers": {    "atlaso": {      "url": "https://mcp.atlaso.ai/mcp"    }  }}

Terminal-based tools (Claude Code, Codex, OpenCode, Antigravity) get a richer integration than MCP alone — automatic recall before each turn and automatic capture after, via hooks. One command sets all of them up:

bash
curl -fsSL https://atlaso.ai/install.sh | bash    # macOS / Linuxirm https://atlaso.ai/install.ps1 | iex           # Windows

That installs the atlaso CLI, links the machine (creating your account if you don't have one), then asks which of your AI tools should share the memory.

Tools

ToolWhat it does
recall(query, limit=5)Search your memory for notes relevant to query. Returns a ranked list of {id, content}. Read-only.
remember(text, polarity)Save a durable note — a decision, preference, or gotcha. polarity is one of positive, open, cautionary, negative. Returns the new id.
recent(limit=10)List the most recent memories, newest first. Read-only.
forget(id)Permanently delete a memory by id. Destructive and not undoable.
status()Connection state, how many memories are stored and pending, and your memory health score. Read-only.

Every recall carries a verdict on whether a memory is settled or contested, so the model isn't acting on shaky context.

Memory scopes

Memories are either personal (they follow you everywhere) or project (scoped to the repository or workspace you were in). Both are recalled automatically in the right place — you don't manage scopes by hand.

Privacy

Secrets are scrubbed before anything is stored. Data is encrypted in transit and at rest. Your memory is never used to train AI models and never sold. On the free plan it is never sent to any LLM at all. You can delete any single memory, or your whole account, at any time.

Pricing

Free for one device and one tool. Pro is $10/month for unlimited devices and tools sharing one memory, plus Ambient Memory, background enrichment, Ask your memory, and JSON export. Build is $25/month and adds a developer memory API.

Registry

Listed in the official MCP Registry as io.github.imashishkh21/atlaso. The server.json in this repository is the published manifest.

Atlaso is a product of Atlaso Labs Inc. This repository is documentation for the hosted service; the service itself is not open source.

來源：README.md，提交 050849e

工具

0
該伺服器需要登入，因此 SourceWeft 無法在沒有帳號的情況下讀取其工具，也未收錄。已連接帳號所能看到的內容可能因帳號及其權限而異。

版本歷史

2
  1. v1.0.2最新Oct 26, 2026
  2. v1.0.1Sep 16, 2026

評分

已滿足適用檢查項的 75%

該評分衡量此收錄條目的完整程度，依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價，也不表示伺服器安全或目前可用：可連通性是帶日期的檢查結果，評分也不包含安裝量或使用者評價。

  • 近 30 天內可連通必需25 分
  • 已宣告認證方式必需10 分
  • 已列出工具15 分

    請讓伺服器在無憑證時回應 tools/list，或發布可在沙箱中無憑證啟動的軟體包。

  • 描述必需15 分
  • 圖示10 分
  • 文件15 分
  • 授權條款10 分

    請在儲存庫或註冊中心條目中宣告授權條款。

其他 Atlaso 整合

Atlaso

由 GitHub 帳號 imashishkh21 發布

Atlaso 是一個本機開源記憶伺服器，讓 AI 助理透過本機 SQLite 資料庫取得持久化回憶能力。

STDIO僅桌面
資料庫尚未驗證Oct 25, 2026