Retrieve comprehensive context from all memory systems using semantic search to enhance AI assistant capabilities in retaining short-term, long-term, and episodic memory.
Modify or append memory data in the Hi-AI system by specifying a key and new value. Automatically triggered by commands like 'update' or 'edit memory'.
Analyze MySQL memory usage by host, user, or event type to identify memory allocation patterns and optimize database performance using performance schema data.
A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.
A local, persistent memory system for AI coding assistants that stores decisions, patterns, and session context via MCP tools. It enables cross-session memory management using SQLite and optional vector search without external dependencies or cloud storage.