| """Memory module for DeerFlow. | |
| This module provides a global memory mechanism that: | |
| - Stores user context and conversation history in memory.json | |
| - Uses LLM to summarize and extract facts from conversations | |
| - Injects relevant memory into system prompts for personalized responses | |
| """ | |
| from src.agents.memory.prompt import ( | |
| FACT_EXTRACTION_PROMPT, | |
| MEMORY_UPDATE_PROMPT, | |
| format_conversation_for_update, | |
| format_memory_for_injection, | |
| ) | |
| from src.agents.memory.queue import ( | |
| ConversationContext, | |
| MemoryUpdateQueue, | |
| get_memory_queue, | |
| reset_memory_queue, | |
| ) | |
| from src.agents.memory.updater import ( | |
| MemoryUpdater, | |
| get_memory_data, | |
| reload_memory_data, | |
| update_memory_from_conversation, | |
| ) | |
| __all__ = [ | |
| # Prompt utilities | |
| "MEMORY_UPDATE_PROMPT", | |
| "FACT_EXTRACTION_PROMPT", | |
| "format_memory_for_injection", | |
| "format_conversation_for_update", | |
| # Queue | |
| "ConversationContext", | |
| "MemoryUpdateQueue", | |
| "get_memory_queue", | |
| "reset_memory_queue", | |
| # Updater | |
| "MemoryUpdater", | |
| "get_memory_data", | |
| "reload_memory_data", | |
| "update_memory_from_conversation", | |
| ] | |