David Blanc Brioir
2f34125ef6
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>
25 lines
513 B
Python
25 lines
513 B
Python
"""
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Memory Schemas Package.
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Defines Weaviate schemas for Memory collections:
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- Thought
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- Conversation
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- Message
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"""
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from memory.schemas.memory_schemas import (
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create_thought_collection,
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create_conversation_collection,
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create_message_collection,
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create_all_memory_schemas,
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delete_memory_schemas,
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)
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__all__ = [
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"create_thought_collection",
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"create_conversation_collection",
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"create_message_collection",
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"create_all_memory_schemas",
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"delete_memory_schemas",
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]
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