Conversation memory and workspace management MCP server for Amazon Q CLI with SQLite + FTS5 storage and real-time sync
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# Q Memory MCP Server A Model Context Protocol (MCP) server that provides conversation memory and workspace management for Amazon Q CLI using SQLite + FTS5 for fast, reliable storage and search. ## Features - **Automatic Conversation Saving**: Real-time sync of Q CLI conversations to SQLite database - **Workspace Management**: Organize conversations by topics/workspaces with natural language support - **Workspace Restoration**: Resume previous conversations with full context - **Full-Text Search**: Search through conversation history using SQLite FTS5 - **Q CLI LLM Integration**: Intelligent conversation summarization using Q CLI's built-in LLM ## Quick Start ### 1. MCP Configuration Add to `~/.aws/amazonq/mcp.json`: **For macOS:** ```json { "mcpServers": { "q-mem": { "command": "uvx", "args": ["q_mem_mcp_server@latest"], "env": { "Q_CLI_DB_PATH": "~/Library/Application Support/amazon-q/data.sqlite3", "Q_MEM_VERBOSE": "true" }, "disabled": false } } } ``` **For Windows:** First, find your Q CLI database path: ```cmd where /r %USERPROFILE% data.sqlite3 ``` Then use the found path in your configuration: ```json { "mcpServers": { "q-mem": { "command": "uvx", "args": ["q_mem_mcp_server@latest"], "env": { "Q_CLI_DB_PATH": "C:\\Users\\YourUsername\\AppData\\Local\\amazon-q\\data.sqlite3", "Q_MEM_VERBOSE": "true" }, "disabled": false } } } ``` ### 2. Usage Examples ```bash # Start Q CLI q chat # Start a new workspace start_workspace(description="backend_development") # OR natural language: "Start backend development workspace" # Chat normally (automatically saved) # ... have conversations ... # List workspaces list_workspaces() # Resume workspace (loads full context) resume_workspace(workspace_id="backend_development") # OR natural language: "Resume backend development workspace" # Switch to another workspace resume_workspace(workspace_id="fr…
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