@Sonjuane
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A Node.js implementation of the Mem0 MCP server that runs exclusively via HTTP API for simplified deployment and integration. It provides tools to save, retrieve, and search memories locally in the active project directory, and is designed for use with MCP clients like VS Code Roo Code and Claude Desktop.
Install dependencies with npm install, copy .env.example to .env, configure environment variables, then start the server with npm start (default port 8484). For specific workspaces, use npm run start:workspace /path/to/your/project. Integrate with MCP clients by configuring the appropriate transport (stdio, SSE, or HTTP) and providing the API token in environment or configuration.
.Mem0-Files directoryThe server supports stdio, SSE, and HTTP transports. HTTP is the primary mode and is enabled by default. SSE transport requires the server to be started with `TRANSPORT=sse HTTP_SERVER_ENABLED=true npm start`.
Memories are stored locally in JSON files within a `.Mem0-Files` directory in the workspace root. Each memory file contains the original text, metadata (created/updated timestamps), and a unique UUID. An index file maps user IDs to their memories.
Set the `API_TOKEN` environment variable to a secure token. All HTTP API requests must include an `Authorization: Bearer <token>` header. Rate limiting is also enabled by default (100 requests per 15-minute window).
Yes. Use `npm run docker:build` to build the Docker image and `npm run docker:run` to start a container. The container exposes the HTTP API on port 8484.
Configuration options for LLM providers (OpenAI, OpenRouter, Ollama) are available in the `.env` file, but full integration for memory processing and semantic search is planned for future releases.
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