记忆定制 | Glama

Memory Custom

This project adds new features to the Memory server offered by the MCP team. It allows for the creation and management of a knowledge graph that captures interactions via a language model (LLM).

New Features

1. Custom Memory Paths

Users can now specify different memory file paths for various projects.
Why?: This feature enhances organization and management of memory data, allowing for project-specific memory storage.

2. Timestamping

The server now generates timestamps for interactions.
Why?: Timestamps enable tracking of when each memory was created or modified, providing better context and history for the stored data.

Getting Started

Prerequisites

Node.js (version 16 or higher)

Installing via Smithery

To install Knowledge Graph Memory Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @BRO3886/mcp-memory-custom --client claude

Installation

Clone the repository:
git clone git@github.com:BRO3886/mcp-memory-custom.git cd mcp-memory-custom
Install the dependencies:
npm install

Configuration

Before running the server, you can set the MEMORY_FILE_PATH environment variable to specify the path for the memory file. If not set, the server will default to using memory.json in the same directory as the script.

Running the Server

Updating the mcp server json file

Add this to your claude_desktop_config.json / .cursor/mcp.json file:

{
  "mcpServers": {
    "memory": {
      "command": "node",
      "args": ["/path/to/mcp-memory-custom/dist/index.js"]
    }
  }
}

System Prompt changes:

Follow these steps for each interaction:
1. The memoryFilePath for this project is /path/to/memory/project_name.json - always pass this path to the memory file operations (when creating entities, relations, or retrieving memory etc.)
2. User Identification:
   - You should assume that you are interacting with default_user
   - If you have not identified default_user, proactively try to do so.

3. Memory Retrieval:
   - Always begin your chat by saying only "Remembering..." and retrieve all relevant information from your knowledge graph
   - Always refer to your knowledge graph as your "memory"

4. Memory
   - While conversing with the user, be attentive to any new information that falls into these categories:
     a) Basic Identity (age, gender, location, job title, education level, etc.)
     b) Behaviors (interests, habits, etc.)
     c) Preferences (communication style, preferred language, etc.)
     d) Goals (goals, targets, aspirations, etc.)
     e) Relationships (personal and professional relationships up to 3 degrees of separation)

5. Memory Update:
   - If any new information was gathered during the interaction, update your memory as follows:
     a) Create entities for recurring organizations, people, and significant events, add timestamps to wherever required. You can get current timestamp via get_current_time
     b) Connect them to the current entities using relations
     c) Store facts about them as observations, add timestamps to observations via get_current_time


IMPORTANT: Provide a helpful and engaging response, asking relevant questions to encourage user engagement. Update the memory during the interaction, if required, based on the new information gathered (point 4).

Running the Server Locally

To start the Knowledge Graph Memory Server, run:

npm run build
node dist/index.js

The server will listen for requests via standard input/output.

API Endpoints

The server exposes several tools that can be called with specific parameters:

Get Current Time
Set Memory File Path
Create Entities
Create Relations
Add Observations
Delete Entities
Delete Observations
Delete Relations
Read Graph
Search Nodes
Open Nodes

Acknowledgments

Inspired by the Memory server from Anthropic.

Deploy Server

HTTP connection URL

security – no known vulnerabilities

license - permissive license

quality - confirmed to work

How are these scores calculated?

local-only server

The server can only run on the client's local machine because it depends on local resources.

定制的 MCP 内存服务器，可以创建和管理知识图谱，具有自定义内存路径和时间戳等功能，可通过语言模型捕获交互。

Related Resources

Reddit Discussion about this server

Related MCP Servers

MemoryMesh
CheMiguel23
A
security
A
license
A
quality
This project is based on the Knowledge Graph Memory Server from the MCP servers repository and retains its core functionality.
Last updated -
44
296
MIT License
Knowledge Graph Memory Server
yodakeisuke
A
security
F
license
A
quality
This MCP server provides persistent memory integration for chat applications by utilizing a local knowledge graph to remember user information across interactions.
Last updated -
9
55,066
5
Knowledge Graph Memory Server
bneil
-
security
A
license
-
quality
Enhances the MCP memory server by implementing PouchDB for robust document storage and enabling the creation and management of a knowledge graph that captures interactions via language models.
Last updated -
4
MIT License
RAG Memory MCP
ttommyth
-
security
F
license
-
quality
An advanced MCP server providing RAG-enabled memory through a knowledge graph with vector search capabilities, enabling intelligent information storage, semantic retrieval, and document processing.
Last updated -
94
23

View all related MCP servers

Appeared in Searches

A server for managing systematic Drupal module development with advanced memory and project features

Memory Custom

Memory Custom

New Features

1. Custom Memory Paths

2. Timestamping

Getting Started

Prerequisites

Installing via Smithery

Installation

Configuration

Running the Server

Updating the mcp server json file

Running the Server Locally

API Endpoints

Acknowledgments

Related Resources

Related MCP Servers

MemoryMesh

Knowledge Graph Memory Server

Knowledge Graph Memory Server

RAG Memory MCP

Appeared in Searches

New MCP Servers

MCP directory API