About WorkingMemory
Persistent personal memory for AI assistants — save, search, and recall across every MCP client
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://app.workingmemory.ai/mcpclaude mcp add --transport http ai-workingmemory-memory https://app.workingmemory.ai/mcp{"mcpServers":{"ai-workingmemory-memory":{"type":"http","url":"https://app.workingmemory.ai/mcp"}}}Open in Cursor{"servers":{"ai-workingmemory-memory":{"type":"http","url":"https://app.workingmemory.ai/mcp"}}}Open in VS Code{"mcpServers":{"ai-workingmemory-memory":{"type":"http","url":"https://app.workingmemory.ai/mcp"}}}{"mcpServers":{"ai-workingmemory-memory":{"serverUrl":"https://app.workingmemory.ai/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
4| Parameter | Type | Required | Description |
|---|---|---|---|
| text | string | Yes | The thought or note to save. |
| client | object | No | Optional context about the originating client session. Helps users later find saves from a specific conversation. `conversation_id` groups multiple saves; `conversation_title` is human-readable. |
| client.conversation_id | string | No | Opaque identifier; typically the client's conversation thread ID. |
| client.conversation_title | string | No | Human-readable conversation title (max 200 chars; longer values truncated server-side). |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.