WorkingMemory

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

¿Debería usar esto?

Calidad y seguridad

A
Calidad de la descripción
95%
Integridad del esquema
100%
Calidad de los nombres
95%
Riesgo de envenenamiento
80%
Coincidencia de permisos
100%
Cumplimiento del protocolo
100%

Hallazgos (3)

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

Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.

Costo de contexto

~908Tokens (definiciones de herramientas)
~2.0 KBTamaño de respuesta típico
Impacto moderado en la atención (0.71% del contexto de 128k)

Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.

Instalar

Instalación con un clic

Agrega esto a tu archivo `claude_desktop_config.json`:

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

Puntos de conexión remotos

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

Qué puede hacer

Inventario de herramientas

Herramientas (4)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟡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.

Esquema de entrada

{
  "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.

Esquema de entrada

{
  "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.

Esquema de entrada

{
  "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.

Esquema de entrada

{
  "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"
  ]
}

Prompts recomendados

search_research
Search for information about [topic] using WorkingMemory
Herramientas esperadas: search_memory
find_specific
Find [specific item] using WorkingMemory
Herramientas esperadas: search_memory

Comunidad

Califica este servidor

Evidencia

Observaciones recientes

verificadoversión no registrada4 herramientas
verificadoversión no registrada4 herramientas