chore: split heavy ML stack into optional mmory extras

README.md

@@ -73,9 +73,10 @@ Rooms/
 ├── tests/              # Unit Tests
 │   └── test_session.py # Logic Verification
 ├── outputs/            # Session Transcripts
-├── cli.py                      # Interactive Wizard Entry Point
+├── cli.py                      # Interactive Wizard Entry Point      
 ├── rooms.settings.example.yaml # Settings template (commit this)
-├── requirements.txt            # Project Dependencies
+├── requirements.txt            # Core Project Dependencies
+└── requirements-memory.txt     # Optional Vector Memory Dependencies
 ```
 
 `rooms.settings.yaml` is gitignored — create it locally with `python cli.py config init` or by copying the example file.
@@ -93,9 +94,14 @@ cd Rooms
 python -m venv venv
 venv\Scripts\activate  # Windows: venv\Scripts\activate | Unix: source venv/bin/activate
 
-# Install Dependencies
+# Install Core Dependencies
 pip install -r requirements.txt
 ```
+#### Optional: Long-Term Memory & RAG Support
+If you plan to use vector memory features (such as long-term agent memory across sessions (#13)), you will need to install the heavier machine learning dependencies separately:
+```bash
+pip install -r requirements-memory.txt
+```
 
 ### 2. Configure defaults (optional)
 

requirements-memory.txt

@@ -0,0 +1,3 @@
+chromadb>=0.4.0
+sentence-transformers>=2.2.2
+torch>=2.0.0

requirements.txt

@@ -1,7 +1,4 @@
 litellm>=1.20.0
-chromadb>=0.4.0
-sentence-transformers>=2.2.2
-torch>=2.0.0
 rich>=13.0.0
 pydantic>=2.0.0
 prompt_toolkit>=3.0.0