@aiagentkarl/agent-memory-mcp-server
v0.1.0
Published
Persistent memory for AI agents — store, retrieve, search knowledge across sessions
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@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-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.
License
MIT
