Memory Keeper
bymkreyman
0Manages persistent context for AI coding assistants within an MCP server environment.
About
Memory Keeper provides a crucial backend solution for AI coding assistants, enabling robust and persistent context management. By integrating with an MCP server and leveraging SQLite for data storage, it ensures that AI models can maintain conversational state and recall previous interactions, significantly enhancing their ability to provide coherent and helpful assistance over time.
Key Features
- Persistent context management for AI coding assistants
- 0 GitHub stars
- SQLite-based data storage for state persistence
- Integration with MCP server architecture
Use Cases
- Enhancing AI coding assistant memory across sessions
- Maintaining conversational context for AI development tools
- Supporting stateful interactions in AI-powered IDE extensions