广告合作
MCP.so
登录

Knowledge Graph Memory Server MCP Server

@s2005

代码仓库

基本信息

分类

记忆与知识

许可证

MIT

传输方式

stdio

作者

s2005

关于 Knowledge Graph Memory Server MCP Server

Standalone MCP server for enabling memory for Claude through a knowledge graph

#knowledge-graph#memory-server#ai-assistant

Knowledge Graph Memory Server MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-memory-server": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "mcp/memory",
        "-f",
        "src/Dockerfile",
        "."
      ]
    }
  }
}

Knowledge Graph Memory Server MCP Server 工具

9

Create multiple new entities in the knowledge graph

Create multiple new relations between entities

Add new observations to existing entities

Remove entities and their relations

Remove specific observations from entities

Remove specific relations from the graph

Read the entire knowledge graph

Search for nodes based on query

Retrieve specific nodes by name

概览

What is Knowledge Graph Memory Server?

A basic implementation of persistent memory using a local knowledge graph. It lets Claude remember information about the user across chats by storing entities, relations, and observations.

How to use Knowledge Graph Memory Server?

Add the server configuration to claude_desktop_config.json using Docker (recommended) or NPX. Optionally set the MEMORY_FILE_PATH environment variable to customize the storage location. Use the provided system prompt example in a Claude.ai Project to enable memory operations.

Key features of Knowledge Graph Memory Server

  • Persistent, local knowledge graph for chat context
  • Tools to create, read, update, and delete entities, relations, and observations
  • Full search functionality across names, types, and observations
  • Silent handling of duplicate entities and relations
  • Cascading deletion of relations when entities are removed
  • Customizable memory file path via environment variable

Use cases of Knowledge Graph Memory Server

  • Chat personalization: remember user identity, preferences, and behaviors across sessions
  • Tracking personal and professional relationships with up to 3 degrees of separation
  • Storing recurring organizations, people, and significant events as structured entities
  • Maintaining a persistent knowledge base for long-running interactions

常见问题

1

Where is the memory data stored?

By default in `memory.json` in the server directory. You can change this by setting the `MEMORY_FILE_PATH` environment variable.

2

How do I run it with Docker?

Add the Docker configuration from the README to `claude_desktop_config.json`. The Docker command mounts a volume `claude-memory` for persistence and runs the `mcp/memory` image.

3

Can I use it as a standalone package?

Yes. Install the npm package `mcp-memory-server` or run directly with `npx mcp-memory-server`.

4

What happens if I create an entity with an existing name?

The server ignores duplicate entity names when using `create_entities`. Similarly, duplicate relations are skipped.

5

What license does Knowledge Graph Memory Server use?

It is licensed under the MIT License.

评论

记忆与知识 分类下的更多 MCP 服务器

Codebase Memory

DeusData

High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 162 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

46.7K

Memlord

MyrikLD

Memlord is a remote MCP server available at https://app.memlord.com.

Orcha

westonhancock

Orcha is a unified context layer for AI tools and agents. It stores and indexes and exposes organizational, team, or individual knowledge. Files, structured databases, and connected sources live in one workspace, and age

ctxfile

ctxfile

Local-first MCP server that snapshots your project's working state into one context object. Open-core, privacy-first.

2

Context7 MCP - Up-to-date Docs For Any Cursor Prompt

upstash

Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors

58.7K
广告合作