01Local-First Cognitive State Management: Stores all cognitive state locally as time-sampled, human-readable, and Git-trackable USD layers, ensuring data privacy and ownership.
02Graceful Degradation: Designed with independent component failure handling, ensuring the system remains operational even if individual parts like USD import or delegate execution encounter issues.
03Modular LLM Integration with Hydra Delegates: Supports flexible integration of various Large Language Models (LLMs) via a capability-matching delegate pattern, ensuring the right LLM is used for specific tasks (e.g., reasoning, code generation).
04Proactive Burnout Prediction: Utilizes an XGBoost predictor trained on synthetic and organic data to forecast momentum, burnout, energy, and burst, intervening before exhaustion.
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06Biologically-Architected Memory System: Employs a multi-tiered memory system including a Rust-based Hippocampus crate for sub-2ms recall, FTS5 for hot-tier storage, and Hebbian learning for SDR evolution.
