01LLM-Driven Analysis: Relies on the LLM to analyze code and provide insights
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03Knowledge Graph Storage: Efficiently stores code entities, relationships, patterns, and style conventions
04Incremental Updates: Updates knowledge when code changes without redundant storage
05Language Agnostic: Works with any programming language the LLM understands
06Token-Efficient Storage: Optimizes for minimal token usage while maximizing memory capacity