feat(system): DPLAN-0170 memory system fix — vectorization, dedup, config rename, rollover hook

Co-Authored-By: @devpulse <devpulse@aipass>

src/aipass/memory/apps/modules/rollover.py

@@ -167,7 +167,7 @@ def print_help() -> None:
     console.print("[bold]WORKFLOW:[/bold]")
     console.print("  1. Detect files exceeding limits (line count or entry count)")
     console.print("  2. Extract oldest entries")
-    console.print("  3. Generate embeddings via sentence-transformers")
+    console.print("  3. Generate embeddings via fastembed")
     console.print("  4. Store vectors in local + global ChromaDB")
     console.print()
 

src/aipass/memory/apps/modules/symbolic.py

@@ -1501,13 +1501,8 @@ def bootstrap_from_jsonl(max_sessions: int = 8) -> None:
     for i, jsonl_path in enumerate(sessions, 1):
         # Derive branch name from parent directory
         branch_dir = jsonl_path.parent.name
-        # New layout: -home-patrick-Projects-AIPass-src-aipass-<branch>
+        # Layout: -home-patrick-Projects-AIPass-src-aipass-<branch>
         branch_name = branch_dir.rsplit("-aipass-", 1)[-1].replace("-", "_").upper()
-        # Legacy layout fallback
-        if branch_name.startswith("AIPASS_CORE_"):
-            branch_name = branch_name.replace("AIPASS_CORE_", "")
-        if branch_name.startswith("AIPASS_OS_"):
-            branch_name = branch_name.replace("AIPASS_OS_", "")
 
         file_size_kb = jsonl_path.stat().st_size / 1024
         console.print(

src/aipass/memory/apps/modules/verify.py

@@ -13,7 +13,7 @@ Checks whether a plan has been vectorized in ChromaDB.
 
 Purpose:
     Thin orchestration layer - calls chroma_subprocess via subprocess
-    to query the flow_flow_plans collection for a given plan label.
+    to query the flow_plans collection for a given plan label.
 """
 
 import subprocess
@@ -261,7 +261,7 @@ def print_help() -> None:
     console.print("  [dim]drone @memory verify HPLAN-0001[/dim]")
     console.print()
     console.print("[bold]HOW IT WORKS:[/bold]")
-    console.print("  1. Query the flow_flow_plans ChromaDB collection")
+    console.print("  1. Query the flow_plans ChromaDB collection")
     console.print("  2. Filter entries by source_file metadata matching the plan label")
     console.print("  3. Report vectorization status and chunk count")
     console.print()