Initial commit: Jarvis Memory system

skills/qdrant-memory/scripts/q_save.py

@@ -0,0 +1,70 @@
+#!/usr/bin/env python3
+"""
+Q Save - Trigger conversation storage (Mem0-style)
+
+Usage:
+    q_save.py --user-id "rob" "User message" "AI response" [--turn N]
+
+Called when user says "save q" or "q save" to immediately
+store the current conversation to Qdrant.
+
+Mem0-style: user_id is REQUIRED and persistent across all chats.
+"""
+
+import argparse
+import subprocess
+import sys
+from pathlib import Path
+
+SCRIPT_DIR = Path(__file__).parent.resolve()
+BACKGROUND_STORE = SCRIPT_DIR / "background_store.py"
+
+def q_save(
+    user_id: str,
+    user_message: str, 
+    ai_response: str, 
+    turn: int = None
+):
+    """Save conversation to Qdrant (background, zero delay)"""
+    
+    cmd = [
+        sys.executable,
+        str(BACKGROUND_STORE),
+        user_message,
+        ai_response,
+        "--user-id", user_id
+    ]
+    
+    if turn:
+        cmd.extend(["--turn", str(turn)])
+    
+    # Fire and forget
+    subprocess.Popen(
+        cmd,
+        stdout=subprocess.DEVNULL,
+        stderr=subprocess.DEVNULL,
+        start_new_session=True
+    )
+    
+    return True
+
+def main():
+    parser = argparse.ArgumentParser(
+        description='Q Save - Mem0-style trigger (user-centric)'
+    )
+    parser.add_argument("--user-id", required=True,
+                        help="REQUIRED: User ID (e.g., 'rob')")
+    parser.add_argument("user_message", help="User's message")
+    parser.add_argument("ai_response", help="AI's response")
+    parser.add_argument("--turn", type=int, help="Turn number")
+    
+    args = parser.parse_args()
+    
+    if q_save(args.user_id, args.user_message, args.ai_response, args.turn):
+        print(f"✅ Saved for user '{args.user_id}'")
+    else:
+        print("❌ Failed to save", file=sys.stderr)
+        sys.exit(1)
+
+if __name__ == "__main__":
+    main()