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cognitive-architectures

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Orion employs mode-specific prompt templates that dynamically incorporate user preferences: Précis Mode: Fast-track synthesis with executive summaries (100-500 words, ~4K tokens) Synopsis Mode: Balanced analytical reports with structured sections (1500-2500 words, ~8K tokens) Treatise Mode: Academic-grade research with abstracts(2000-4000)

  • Updated Dec 14, 2025
  • Python

RefNet is a 2M-parameter edge-aware transformer for structured introspection and reflective evaluation within Structured Reflective Cognitive Architecture (SRCA/SRAI) systems. It predicts cognitive metrics (valence, self-model drift, thought quality) and recommends introspective actions (consolidate, recall, reframe, evaluate_alignment)

  • Updated Nov 11, 2025
  • Python

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