MCP Servers

agent-memory-mcp-server

Stores and retrieves key-value memories with metadata and namespaces for AI agents. Enables persistent, searchable memory across sessions using the Model Context Protocol.

Category

README

@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

Tools

Tool	Description
`store`	Store a key-value pair with optional metadata
`retrieve`	Retrieve a stored value by key
`search`	Search across memories using substring matching
`list_keys`	List all keys in a namespace
`delete`	Delete a stored entry
`list_namespaces`	List all available namespaces

Installation

npm install -g @aiagentkarl/agent-memory-mcp-server

Usage 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-server

Storage

Data is stored as JSON files in ~/.agent-memory/. Each namespace gets its own file:

~/.agent-memory/
  default.json
  project_x.json
  user_prefs.json

Set MEMORY_STORAGE_DIR environment variable to change the storage location.

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License

MIT

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