WorkingMemory

Persistent personal memory for AI assistants — save, search, and recall across every MCP client.

使うべきか

品質と安全性

A
説明の品質
95%
スキーマの完全性
100%
命名の品質
95%
ポイズニングのリスク
80%
権限の一致
100%
プロトコルへの準拠
100%

検出事項(3)

  • HIGHTool poisoning patterns detected
  • MEDIUMTool 'save_memory' description contains placeholder textsave_memory 内
  • INFOTool description contains placeholder or incomplete textsave_memory 内

ツール定義とプロトコルへの準拠に関する自動分析に基づいています。

コンテキストコスト

~908トークン数(ツール定義)
~2.0 KB一般的なレスポンスサイズ
注意への影響は中程度(128k コンテキストの 0.71%)

これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。

インストール

ワンクリックインストール

これを `claude_desktop_config.json` ファイルに追加してください:

{
  "mcpServers": {
    "memory": {
      "url": "https://app.workingmemory.ai/mcp"
    }
  }
}

リモートエンドポイント

https://app.workingmemory.ai/mcpstreamable-http

できること

ツール一覧

ツール(4)

🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟡save_memory(text, client)

Save a thought, insight, fact, or todo to the user's Working Memory. The text is parsed and stored as one or more structured memory items, searchable a moment later via search_memory. Also use this when the user pastes memories or notes brought from another assistant — pass the full pasted text; it is split into individual memories automatically.

入力スキーマ

{
  "type": "object",
  "properties": {
    "text": {
      "type": "string",
      "description": "The thought or note to save."
    },
    "client": {
      "type": "object",
      "description": "Optional context about the originating client session. Helps users later find saves from a specific conversation. `conversation_id` groups multiple saves; `conversation_title` is human-readable.",
      "properties": {
        "conversation_id": {
          "type": "string",
          "description": "Opaque identifier; typically the client's conversation thread ID."
        },
        "conversation_title": {
          "type": "string",
          "description": "Human-readable conversation title (max 200 chars; longer values truncated server-side)."
        }
      },
      "additionalProperties": false
    }
  },
  "required": [
    "text"
  ]
}
🟢search_memory(query, k, conversation_id, dedupe_recent, client)

Search the user's Working Memory for relevant past notes and facts. Use this when the user references something they may have stored earlier, or to find related context before answering. Always include your conversation id in client.conversation_id.

入力スキーマ

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Semantic query."
    },
    "k": {
      "type": "number",
      "description": "Max results (1–20). Defaults to a sensible value."
    },
    "conversation_id": {
      "type": "string",
      "description": "Optional. Restrict results to notes stamped with this conversation_id at save_memory time. Empty / whitespace-only values are treated as absent."
    },
    "dedupe_recent": {
      "type": "boolean",
      "description": "Optional. When false, semantic matches that are also recent are still returned in `relevant` (raw semantic results rather than RAG-deduped). Defaults to true."
    },
    "client": {
      "type": "object",
      "description": "Context about the CURRENT client session. Pass your conversation/thread id as `conversation_id` — it identifies this session for cross-session memory instrumentation and does NOT filter results (use the top-level `conversation_id` parameter for filtering).",
      "properties": {
        "conversation_id": {
          "type": "string",
          "description": "Opaque identifier; typically the client's conversation thread ID."
        },
        "conversation_title": {
          "type": "string",
          "description": "Human-readable conversation title (max 200 chars; longer values truncated server-side)."
        }
      },
      "additionalProperties": false
    }
  },
  "required": [
    "query"
  ]
}
🔴manage_memory(action, id)

Manage an existing memory item. Currently supports deleting a memory by id (soft delete — recoverable for 30 days). Use search_memory to find the id first.

入力スキーマ

{
  "type": "object",
  "properties": {
    "action": {
      "type": "string",
      "enum": [
        "delete"
      ],
      "description": "The management action to perform."
    },
    "id": {
      "type": "string",
      "description": "The memory item id to act on."
    }
  },
  "required": [
    "action",
    "id"
  ]
}
⚪capture_memory(task_content, task_description, client)

Capture durable facts from a task you just completed (drafting an email, summarizing a document, making a decision), as a byproduct — the user does nothing. Pass the task output/content; durable facts are extracted and stored automatically. Always include your conversation id in client.conversation_id. Returns immediately; extraction happens in the background.

入力スキーマ

{
  "type": "object",
  "properties": {
    "task_content": {
      "type": "string",
      "description": "The task output/content to mine for durable facts (max 32KB)."
    },
    "task_description": {
      "type": "string",
      "description": "Optional one-line description of the task, as extraction framing."
    },
    "client": {
      "type": "object",
      "description": "Current client session context. Pass your conversation/thread id as conversation_id.",
      "properties": {
        "conversation_id": {
          "type": "string",
          "description": "Opaque conversation/thread id."
        },
        "conversation_title": {
          "type": "string",
          "description": "Human-readable title (max 200 chars)."
        }
      },
      "additionalProperties": false
    }
  },
  "required": [
    "task_content"
  ]
}

推奨プロンプト

search_research
Search for information about [topic] using WorkingMemory
想定されるツール: search_memory
find_specific
Find [specific item] using WorkingMemory
想定されるツール: search_memory

コミュニティ

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エビデンス

最近の観測

検証済みバージョンは記録されていませんツール 4 件
検証済みバージョンは記録されていませんツール 4 件