Recall — persistent memory for agents

Persistent memory for AI agents. Free, no LLM, no SDK. Open Worker you can self-host in 2 commands.

我該用這個嗎

品質與安全性

A
說明品質
100%
結構描述完整度
82%
命名品質
80%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

根據工具定義與協定合規性的自動化分析。

上下文成本

~307Token(工具定義)
~366 B典型回應大小
極小的注意力影響(128k 上下文的 0.24%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "memory": {
      "url": "https://recall.notdown-app.workers.dev/mcp/{key}"
    }
  }
}

遠端端點

https://recall.notdown-app.workers.dev/mcp/{key}streamable-http

它能做什麼

工具清單

工具(5)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟡memory_save(key, value, tags)

Save or overwrite a memory under a key so you can recall it in a later session. Use for durable facts, decisions, preferences, and context you want to persist across context resets.

輸入結構描述

{
  "type": "object",
  "properties": {
    "key": {
      "type": "string",
      "description": "Unique key/name for this memory."
    },
    "value": {
      "type": "string",
      "description": "The content to remember."
    },
    "tags": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Optional tags for later search."
    }
  },
  "required": [
    "key",
    "value"
  ]
}
🟢memory_recall(key)

Retrieve a previously saved memory by its exact key.

輸入結構描述

{
  "type": "object",
  "properties": {
    "key": {
      "type": "string"
    }
  },
  "required": [
    "key"
  ]
}
🟢memory_search(query, limit)

Search your saved memories by keyword across keys, values, and tags. Returns matching memories, newest first.

輸入結構描述

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string"
    },
    "limit": {
      "type": "number"
    }
  },
  "required": [
    "query"
  ]
}
🟢memory_list(limit)

List the keys of all your saved memories, newest first.

輸入結構描述

{
  "type": "object",
  "properties": {
    "limit": {
      "type": "number"
    }
  }
}
🔴memory_forget(key)

Delete a saved memory by key.

輸入結構描述

{
  "type": "object",
  "properties": {
    "key": {
      "type": "string"
    }
  },
  "required": [
    "key"
  ]
}

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