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feat: persistent storage of conversation history

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zhayujie
2026-02-25 18:01:39 +08:00
parent 1a7a8c98d9
commit 29bfbecdc9
7 changed files with 882 additions and 20 deletions
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14
agent/memory/__init__.py
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@@ -1,11 +1,21 @@
"""
Memory module for AgentMesh
Provides long-term memory capabilities with hybrid search (vector + keyword)
Provides both long-term memory (vector/keyword search) and short-term
conversation history persistence (SQLite).
"""
from agent.memory.manager import MemoryManager
from agent.memory.config import MemoryConfig, get_default_memory_config, set_global_memory_config
from agent.memory.embedding import create_embedding_provider
from agent.memory.conversation_store import ConversationStore, get_conversation_store
__all__ = ['MemoryManager', 'MemoryConfig', 'get_default_memory_config', 'set_global_memory_config', 'create_embedding_provider']
__all__ = [
'MemoryManager',
'MemoryConfig',
'get_default_memory_config',
'set_global_memory_config',
'create_embedding_provider',
'ConversationStore',
'get_conversation_store',
]