Memory
@modelcontextprotocol
About Memory
Model Context Protocol Servers
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"memory": {
"command": "docker",
"args": [
"run",
"-i",
"-v",
"claude-memory:/app/dist",
"--rm",
"mcp/memory"
]
}
}
}Tools
9Create 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
Overview
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.
More Memory & Knowledge MCP servers
Anytype MCP Server
anyprotoAn MCP server enabling AI assistants to interact with Anytype - your encrypted, local and collaborative wiki - to organize objects, lists, and more through natural language.
Ultimate Google Docs & Drive MCP Server
a-bonusThe Ultimate Google Docs, Sheets, Drive, Gmail, & Google Calendar MCP Server. This MCP (primarily for use in Claude Desktop) gains full access to your google suite and lets claude do its thing.
Zettelkasten MCP Server
entanglrA Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, explore and synthesize atomic notes through Claude and other MCP-compatible clients.
Semantic Scholar MCP Server
YUZongminA FastMCP server implementation for the Semantic Scholar API, providing comprehensive access to academic paper data, author information, and citation networks.
Docs MCP Server
araboldGrounded Docs MCP Server: Open-Source Alternative to Context7, Nia, and Ref.Tools
Comments