feat: Add Memory system with Weaviate integration and MCP tools

MEMORY SYSTEM ARCHITECTURE:
- Weaviate-based memory storage (Thought, Message, Conversation collections)
- GPU embeddings with BAAI/bge-m3 (1024-dim, RTX 4070)
- 9 MCP tools for Claude Desktop integration

CORE MODULES (memory/):
- core/embedding_service.py: GPU embedder singleton with PyTorch
- schemas/memory_schemas.py: Weaviate schema definitions
- mcp/thought_tools.py: add_thought, search_thoughts, get_thought
- mcp/message_tools.py: add_message, get_messages, search_messages
- mcp/conversation_tools.py: get_conversation, search_conversations, list_conversations

FLASK TEMPLATES:
- conversation_view.html: Display single conversation with messages
- conversations.html: List all conversations with search
- memories.html: Browse and search thoughts

FEATURES:
- Semantic search across thoughts, messages, conversations
- Privacy levels (private, shared, public)
- Thought types (reflection, question, intuition, observation)
- Conversation categories with filtering
- Message ordering and role-based display

DATA (as of 2026-01-08):
- 102 Thoughts
- 377 Messages
- 12 Conversations

DOCUMENTATION:
- memory/README_MCP_TOOLS.md: Complete API reference and usage examples

All MCP tools tested and validated (see test_memory_mcp_tools.py in archive).

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

memory/schemas/__init__.py

@@ -0,0 +1,24 @@
+"""
+Memory Schemas Package.
+
+Defines Weaviate schemas for Memory collections:
+    - Thought
+    - Conversation
+    - Message
+"""
+
+from memory.schemas.memory_schemas import (
+    create_thought_collection,
+    create_conversation_collection,
+    create_message_collection,
+    create_all_memory_schemas,
+    delete_memory_schemas,
+)
+
+__all__ = [
+    "create_thought_collection",
+    "create_conversation_collection",
+    "create_message_collection",
+    "create_all_memory_schemas",
+    "delete_memory_schemas",
+]