Merge branch 'main' into main

.claude-plugin/marketplace.json

@@ -9,7 +9,7 @@
       "name": "mempalace",
       "source": "./.claude-plugin",
       "description": "AI memory system — mine projects and conversations into a searchable palace. 19 MCP tools, auto-save hooks, guided setup.",
-      "version": "3.0.13",
+      "version": "3.0.14",
       "author": {
         "name": "milla-jovovich"
       }

.claude-plugin/plugin.json

@@ -1,6 +1,6 @@
 {
   "name": "mempalace",
-  "version": "3.0.13",
+  "version": "3.0.14",
   "description": "Give your AI a memory — mine projects and conversations into a searchable palace. 19 MCP tools, auto-save hooks, and guided setup.",
   "author": {
     "name": "milla-jovovich"

.codex-plugin/plugin.json

@@ -1,6 +1,6 @@
 {
   "name": "mempalace",
-  "version": "3.0.13",
+  "version": "3.0.14",
   "description": "Give your AI a memory — mine projects and conversations into a searchable palace. 19 MCP tools, auto-save hooks, and guided setup.",
   "author": {
     "name": "milla-jovovich"

mempalace/miner.py

@@ -465,29 +465,29 @@ def process_file(
     rooms: list,
     agent: str,
     dry_run: bool,
-) -> int:
+) -> tuple:
-    """Read, chunk, route, and file one file. Returns drawer count."""
+    """Read, chunk, route, and file one file. Returns (drawer_count, room_name)."""
 
     # Skip if already filed
     source_file = str(filepath)
     if not dry_run and file_already_mined(collection, source_file):
-        return 0
+        return 0, None
 
     try:
         content = filepath.read_text(encoding="utf-8", errors="replace")
     except OSError:
-        return 0
+        return 0, None
 
     content = content.strip()
     if len(content) < MIN_CHUNK_SIZE:
-        return 0
+        return 0, None
 
     room = detect_room(filepath, content, rooms, project_path)
     chunks = chunk_text(content, source_file)
 
     if dry_run:
         print(f"    [DRY RUN] {filepath.name} → room:{room} ({len(chunks)} drawers)")
-        return len(chunks)
+        return len(chunks), room
 
     drawers_added = 0
     for chunk in chunks:
@@ -503,7 +503,7 @@ def process_file(
         if added:
             drawers_added += 1
 
-    return drawers_added
+    return drawers_added, room
 
 
 # =============================================================================
@@ -622,7 +622,7 @@ def mine(
     room_counts = defaultdict(int)
 
     for i, filepath in enumerate(files, 1):
-        drawers = process_file(
+        drawers, room = process_file(
             filepath=filepath,
             project_path=project_path,
             collection=collection,
@@ -635,7 +635,6 @@ def mine(
             files_skipped += 1
         else:
             total_drawers += drawers
-            room = detect_room(filepath, "", rooms, project_path)
             room_counts[room] += 1
             if not dry_run:
                 print(f"  ✓ [{i:4}/{len(files)}] {filepath.name[:50]:50} +{drawers}")

mempalace/version.py

@@ -1,3 +1,3 @@
 """Single source of truth for the MemPalace package version."""
 
-__version__ = "3.0.13"
+__version__ = "3.0.14"

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "mempalace"
-version = "3.0.13"
+version = "3.0.14"
 description = "Give your AI a memory — mine projects and conversations into a searchable palace. No API key required."
 readme = "README.md"
 requires-python = ">=3.9"