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.
@s2005
基本情報
Standalone MCP server for enabling memory for Claude through a knowledge graph
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-memory-server": {
"command": "docker",
"args": [
"build",
"-t",
"mcp/memory",
"-f",
"src/Dockerfile",
"."
]
}
}
}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
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.
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.
By default in `memory.json` in the server directory. You can change this by setting the `MEMORY_FILE_PATH` environment variable.
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.
Yes. Install the npm package `mcp-memory-server` or run directly with `npx mcp-memory-server`.
The server ignores duplicate entity names when using `create_entities`. Similarly, duplicate relations are skipped.
It is licensed under the MIT License.

Shared memory for AI coding agents. Claude Code, Cursor and Codex read your project's decisions, lessons and tasks before they act.
Person-owned, portable AI memory served over MCP. Your knowledge, preferences, and decisions — captured in one assistant, available in all of them.

Model Context Protocol Servers

Personal context for every AI: search, read, and write back to your private Markdown library of articles, threads, PDFs, notes, and captured ChatGPT/Claude/Gemini/Grok conversations. Remote server, OAuth 2.1 paste-and-au
Memlord is a remote MCP server available at https://app.memlord.com.
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