servers/ memory/ mymemory
MY

MyMemory

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Long-term memory for AI assistants: search, read and save your notes, links and documents.

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Overview Installation

Overview

MyMemory is a Model Context Protocol server that gives AI assistants persistent long-term memory. It lets you search, read, and save your notes, links, and documents directly within your AI workflow, so your assistant can recall and reference stored information across conversations without manual copy-pasting.

You can deploy MyMemory in two ways: use the hosted endpoint at https://api.mymemory.dev/v1/mcp for immediate access, or install it locally on your machine using npx -y @mymemory.dev/mcp. Either way, you'll need to set the EVERSTASH_API_KEY environment variable to authenticate. The latest release is v0.2.1, available from the mymemory.dev vendor.

MyMemory is listed in the Memory category on mcp.site and works with any MCP client, including Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, and Zed. If you're the maintainer, claim this listing to verify ownership and keep information up to date.

▸Hosted endpoint — Streamable HTTP · https://api.mymemory.dev/v1/mcp
▸npm package — @mymemory.dev/mcp · MCP over stdio
▸Credentials — Requires EVERSTASH_API_KEY

Installation

Settings → Connectors → Add custom connector
Name: MyMemory
URL:  https://api.mymemory.dev/v1/mcp

Requires EVERSTASH_API_KEY

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