Mem0
Createdmem0ai
Manages coding preferences via a Model Context Protocol server, enabling efficient storage, retrieval, and search functionality.
About
This tool provides a structured approach for managing coding preferences using a Model Context Protocol (MCP) server integrated with mem0.ai. The server allows users to store code snippets, implementation details, and coding patterns with comprehensive context, enabling efficient retrieval and semantic searching of coding preferences. It is designed to be used with tools like Cursor and supports features like adding coding preferences with detailed context, retrieving all stored preferences for analysis, and searching for relevant code implementations and best practices.
Key Features
- Store code snippets with context (dependencies, versions, setup, docs, etc.)
- Provides an SSE endpoint for MCP clients.
- Retrieve all coding preferences for pattern analysis and review.
- Configurable host and port for server deployment.
- Semantically search through coding preferences to find relevant code.
- 34 GitHub stars
Use Cases
- Agent connection and disconnection for on-demand access
- Persistent coding preferences system accessible via MCP
- Cloud-native use cases with decoupled server and clients