Persistent personal memory for AI assistants — save, search, and recall across every MCP client.
Connect Remote server
claude mcp add --transport http memory https://app.workingmemory.ai/mcp
{
"mcpServers": {
"memory": {
"url": "https://app.workingmemory.ai/mcp"
}
}
}
{
"servers": {
"memory": {
"type": "http",
"url": "https://app.workingmemory.ai/mcp"
}
}
}
Settings > Connectors > Add custom connector
URL: https://app.workingmemory.ai/mcp
Tools 4 found in our last check
save_memorySave a thought, insight, fact, or todo to the user's Working Memory. The text is parsed and stored as one or more structured memory items, searchable a moment later via search_memory. Also use this when the user pastes memories or notes brought from another assistant — pass the…
search_memorySearch the user's Working Memory for relevant past notes and facts. Use this when the user references something they may have stored earlier, or to find related context before answering. Always include your conversation id in client.conversation_id.
manage_memoryManage an existing memory item. Currently supports deleting a memory by id (soft delete — recoverable for 30 days). Use search_memory to find the id first.
capture_memoryCapture durable facts from a task you just completed (drafting an email, summarizing a document, making a decision), as a byproduct — the user does nothing. Pass the task output/content; durable facts are extracted and stored automatically. Always include your conversation id in…
Details
| Endpoint | https://app.workingmemory.ai/mcp (Streamable HTTP) |
| First published | 17 Jul 2026 |
| Last updated | 17 Jul 2026 |
| Registry name | ai.workingmemory/memory |
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