cursor-memory
Persistent, searchable memory for Cursor AI — You control what your AI remembers.
AI & MLnpx -y cursor-memory{
"mcpServers": {
"cursor-memory": {
"command": "npx",
"args": [
"-y",
"cursor-memory"
]
}
}
}cursor-memory is a community MCP server that connects AI assistants like Claude to persistent, searchable memory for cursor ai — you control what your ai remembers. It runs locally on your machine, keeping your data private and giving you full control over the connection. AI engineers can use it to chain models and pipelines into more powerful workflows.
About cursor-memory
Overview
Persistent, searchable memory for Cursor AI — You control what your AI remembers.
Links
Topics
cursor, cursor-ide, mcp, mcp-server, model-context-protocol, ai-memory, persistent-memory, semantic-search, cursor-memory, cursor-ai-memory, cursor-ide-memory, cursor-persistent-memory, cursor-semantic-search, cursor-searchable-memory, embeddings
Who Should Use cursor-memory?
- 1Search and retrieve information using natural language
- 2Chain AI models and pipelines through a unified MCP interface
- 3Let Claude orchestrate other AI tools and models
- 4Integrate embeddings, image generation, or speech APIs into your workflow
How to Install cursor-memory
Before you start
You will need Node.js (v18 or later) installed on your machine — download it from nodejs.org if you haven't already.
- 1Open a terminal (Terminal on Mac, Command Prompt or PowerShell on Windows).
- 2Paste the install command above and press Enter — Node.js will download and run the server automatically.
- 3Add the server to your Claude Desktop config file (see the JSON snippet above) and restart Claude.
The Claude Desktop config snippet above can be copied and pasted directly into your claude_desktop_config.json file — no editing required.