What is Covalence?
Covalence is a macOS tool that maintains persistent memory across different AI clients and interfaces. It allows you to work with Claude, Cursor, and MCP (Model Context Protocol) tools whilst keeping conversation history and context available across all three platforms. This means information you share in one client can be referenced and built upon in another, eliminating the need to repeat context or start fresh with each tool. It's particularly useful for developers and knowledge workers who switch between different AI interfaces throughout their workflow and want a unified memory layer underneath.
Key Features
Cross-client memory
Share context and conversation history between Claude, Cursor, and MCP without manual copying
macOS native
Built specifically for macOS, integrating with your existing development environment
Persistent storage
Maintains memory of previous conversations and interactions across sessions
MCP support
Works with the Model Context Protocol ecosystem for extended functionality
Freemium model
Core functionality available free with optional premium features
Pros & Cons
Advantages
- Eliminates context switching friction when moving between different AI tools
- Keeps your conversation history and learned information accessible across platforms
- Native macOS integration works smoothly with Cursor and other development tools
Limitations
- Currently macOS only; Windows and Linux users cannot access this tool
- Limited to specific clients (Claude, Cursor, MCP); doesn't work with other AI interfaces
Use Cases
Developers switching between Cursor IDE and Claude for coding assistance
Knowledge workers maintaining context across multiple AI conversations throughout the day
Teams using MCP tools who need continuity of information across different implementations
Researchers and analysts building on previous findings across multiple AI sessions