The new index on the user_id column in the profiles table improves query performance for user-specific lookups, reducing full table scans during authentication and profile retrieval operations.
This commit introduces a full-featured agent architecture including persistent memory storage using vector embeddings, multi-step planning capabilities with dynamic replanning, and an extensible tool registry supporting custom function definitions. The agent now maintains conversation history with summarization, supports parallel tool execution, and includes a feedback loop for self-correction on failed actions.
