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Analog OS depends on two core modules:
DeepThink is an advanced reasoning process designed for complex logic and problem-solving. Instead of generating answers instantly, it evaluates multiple hypotheses, checks for logical errors, and refines its internal thinking before producing a response.
DeepAct is the execution engine that turns reasoning into autonomous action. It enables an AI to interact with external systems, run code, call APIs, and adjust its steps based on real-time feedback to accomplish multi-step tasks. It routes traffic of already learned procedures to smaller models, for optimal LLM usage.

Analog OS is a long-term cognitive operating system that provides persistent memory and context awareness. It continuously organizes information into core primitives—like facts, past experiences, and preferences—while actively deprecating outdated data. It serves as the underlying layer that maintains operational continuity, drawing on reasoning engines like DeepThink to process logic and action layers like DeepAct to execute tasks.

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