Aura | Biographical Agents By Cognai

Model Selection

Smart Model (Reasoning/GTH)

Fast Model (HTG/Classification)

Creative Model (Simulation)

Parameters

Temperature: 0.7

Max Output Tokens

Search Strategy Weights

Semantic Weight (Meaning): 0.6

Keyword Weight (Exact Match): 0.4

Lifecycle

Decay Rate (Forgetting): 0.01

Metacognition

Agency Threshold (Trigger Deep Thinking): 2.0 Higher = Agent thinks deeply less often.

Baseline Biases

Coherence Bias (Stay on topic): 0.7

Novelty Bias (Explore): 0.3

GTH Rendering (Final Response) Variables: {agent_name}, {tone}, {values_summary}, {history_block}, {user_query}, {memory_context}...

HTG Analysis (Perception)

Agency Planning

Motivational Drives (Personality Base)

Define how the agent's motivations evolve over time.

Passive Decay Rate: 0.03/h Higher = Loses interest/motivation faster.

Curiosity Growth: 0.05/h Higher = Gets bored/curious faster when idle.

Connection Growth: 0.08/h Higher = Gets lonely faster.

Virtual Body (Stamina)

Define the agent's cognitive endurance.

Fatigue Accumulation: 0.3x Higher = Tires quickly after complex tasks.

Fatigue Recovery: 0.03/h Higher = Bounces back faster.

Aura CEAF V3

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Agent Name

🧠 Cognitive State

Internal State

Motivational Drives

Reasoning Compass

Identity

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