01Weighted Inheritance Model: Mathematically fuses base behaviors with specialized personas to create dynamic AI personalities.
02Multi-Persona Support: Allows AI to switch between distinct personalities (e.g., Developer, Researcher, Creative) for varied contexts.
03Git-Powered Memory: Versions every configuration change, enabling rollback and tracking of AI's behavioral evolution.
04Behavioral Learning System: Captures patterns from AI usage and allows direct modification of behaviors and weights via specialized tools.
05MCP Native: Provides 11 dedicated tools (7 core, 4 learning) for AI agents to manage their own context and evolution.
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