MCP.so
登录

Memory

@modelcontextprotocol

代码仓库主页

关于 Memory

Model Context Protocol Servers

#knowledge-graph#persistent-memory#memory-assistant

基本信息

分类

记忆与知识

许可证

NOASSERTION

运行时

node

传输方式

stdio

发布者

modelcontextprotocol

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "memory": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "-v",
        "claude-memory:/app/dist",
        "--rm",
        "mcp/memory"
      ]
    }
  }
}

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 Memory?

Memory is an MCP server that provides persistent memory using a local knowledge graph. It lets AI assistants like Claude remember information about the user across chats by storing entities, relations, and observations.

How to use Memory?

Configure Memory in your MCP client (Claude Desktop or VS Code) using Docker or npx. Optionally set the MEMORY_FILE_PATH environment variable to customize the storage file. Use the provided tools (e.g., create_entities, create_relations, add_observations) and the knowledge-graph resource to read and modify the graph.

Key features of Memory

  • Persistent memory via local knowledge graph
  • Entities with types and atomic observations
  • Directed relations in active voice
  • CRUD tools for graph manipulation
  • Readable knowledge graph resource with live updates
  • Configurable JSONL file storage

Use cases of Memory

  • Remembering user identity and preferences across sessions
  • Storing recurring behaviors, habits, and interests
  • Tracking personal and professional goals
  • Maintaining relationship networks for context
  • Customizing assistant responses with past information

FAQ from Memory

How does Memory persist data?

Data is saved to a local JSONL file. The default path is memory.jsonl in the server directory, but can be overridden with the MEMORY_FILE_PATH environment variable.

What tools does Memory provide?

Memory offers create_entities, create_relations, add_observations, delete_entities, delete_observations, delete_relations, read_graph, search_nodes, and open_nodes. All tools are designed for a knowledge graph.

What runtime is needed?

Memory can be run via Docker or using Node.js with npx. No external database is required.

How do I configure the storage file path?

Set the MEMORY_FILE_PATH environment variable in the MCP server configuration (e.g., in claude_desktop_config.json). The default location is memory.jsonl in the server directory.

Does Memory support VS Code?

Yes. Memory can be installed in VS Code using the provided one‑click buttons or by adding the configuration to the user or workspace MCP settings file.

评论

记忆与知识 分类下的更多 MCP 服务器

Notion MCP Server

suekou

A Model Context Protocol server for connecting Notion to MCP-compatible clients

910

minutes

silverstein

Every meeting, every idea, every voice note — searchable by your AI. Open-source, privacy-first conversation memory layer.

1.3K

Notion MCP Server

makenotion

Official Notion MCP Server

4.5K

Semantic Scholar MCP Server

YUZongmin

A FastMCP server implementation for the Semantic Scholar API, providing comprehensive access to academic paper data, author information, and citation networks.

158

Context Portal MCP (ConPort)

GreatScottyMac

Context Portal (ConPort): A memory bank MCP server building a project-specific knowledge graph to supercharge AI assistants. Enables powerful Retrieval Augmented Generation (RAG) for context-aware development in your IDE.

763