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/__init__.py

@@ -0,0 +1,18 @@
+"""
+Ikario Unified Memory System.
+
+This package provides the unified RAG system combining:
+    - Personal memory (thoughts, conversations)
+    - Philosophical library (works, documents, chunks)
+
+Architecture:
+    - Weaviate 1.34.4 vector database
+    - GPU embeddings (BAAI/bge-m3 on RTX 4070)
+    - 7 collections: Thought, Conversation, Message, Work, Document, Chunk, Summary
+    - 17 MCP tools (9 memory + 8 library)
+
+See: PLAN_MIGRATION_WEAVIATE_GPU.md
+"""
+
+__version__ = "2.0.0"
+__author__ = "Ikario Project"