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Selective Memory via Side-Query: Implemented a lightweight "sidechain" selection mechanism to identify and inject only the most relevant memory files into the context.
Memory Metadata Caching: Introduced .metadata_cache.json in the memories directory to support thousands of learning files with zero performance lag.
Intelligent Context Pre-selection: Refactored ContextManager and ChatAgent to automatically pre-select relevant context based on the user query before every turn.