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deer-flow/backend/src/agents/memory/__init__.py

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"""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",
]