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https://github.com/zhayujie/chatgpt-on-wechat.git
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0c8cb974e2
- Auto-rebuild knowledge/index.md from the real directory tree on create/import so it never drifts or loses documents (no longer relies on the agent hand-writing it). - Auto-open the created/imported document in the tree after success. - Add create_document status message, shorten EN action buttons, and localize the "insert template" content. - Show filename for protected system files (index.md/log.md) in the tree instead of their H1 heading. - Reuse a shared embedding-provider factory so knowledge index sync also gets vectors instead of degrading to keyword-only search.
25 lines
821 B
Python
25 lines
821 B
Python
"""
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Memory module for AgentMesh
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Provides both long-term memory (vector/keyword search) and short-term
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conversation history persistence (SQLite).
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"""
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from agent.memory.manager import MemoryManager
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from agent.memory.config import MemoryConfig, get_default_memory_config, set_global_memory_config
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from agent.memory.embedding import create_embedding_provider, create_default_embedding_provider
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from agent.memory.conversation_store import ConversationStore, get_conversation_store
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from agent.memory.summarizer import ensure_daily_memory_file
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__all__ = [
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'MemoryManager',
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'MemoryConfig',
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'get_default_memory_config',
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'set_global_memory_config',
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'create_embedding_provider',
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'create_default_embedding_provider',
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'ConversationStore',
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'get_conversation_store',
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'ensure_daily_memory_file',
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]
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