agent-memory-mcp-server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@agent-memory-mcp-serverRemember that my favorite color is blue"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
@aiagentkarl/agent-memory-mcp-server
Persistent memory for AI agents. Store, retrieve, and search knowledge across sessions using the Model Context Protocol.
Features
Persistent Storage -- Key-value pairs stored as JSON files in
~/.agent-memory/Namespaces -- Organize memories into separate namespaces (e.g.
project_x,user_prefs)Metadata -- Attach arbitrary metadata to each memory entry
Search -- Substring search across keys, values, and metadata
Access Tracking -- Automatic access counts and timestamps
Related MCP server: Agent Memory MCP Server
Tools
Tool | Description |
| Store a key-value pair with optional metadata |
| Retrieve a stored value by key |
| Search across memories using substring matching |
| List all keys in a namespace |
| Delete a stored entry |
| List all available namespaces |
Installation
npm install -g @aiagentkarl/agent-memory-mcp-serverUsage with Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"agent-memory": {
"command": "npx",
"args": ["-y", "@aiagentkarl/agent-memory-mcp-server"]
}
}
}Usage with Claude Code
claude mcp add agent-memory -- npx -y @aiagentkarl/agent-memory-mcp-serverStorage
Data is stored as JSON files in ~/.agent-memory/. Each namespace gets its own file:
~/.agent-memory/
default.json
project_x.json
user_prefs.jsonSet MEMORY_STORAGE_DIR environment variable to change the storage location.
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License
MIT
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