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ARPA CORP. | ΑΡΠΑ ΕΛΛΗΝΙΚΑ ΛΟΓΙΚΑ ΣΥΣΤΗΜΑΤΑ

DEFINE REALITY

Selected Repos Directory | Website | Substack


ARPA CORP.'s Hellenic Logical Systems (HLS) Division is a deep-tech consulting, and R&D entity dedicated to engineering the next logical layer of human-machine interaction.

We operate at the intersection of seemingly disparate fields, AI/ML, DLT, Bioinformatics, Neurotechnology, and Quantum, to build systems that are more than just tools.

Our work is a synthesis, aimed at creating symbiotic frameworks where organic intuition and synthetic logic operate in seamless concert. We specialize in bespoke enterprise-grade agentic clusters, capable of operating with beyond-human efficiency in end-to-end real-life scenarios.

We don't just build software, but architect protocols for a future where the distinction between biological and artificial cognition blurs.

Mission

To conceive, design and deploy robust, secure, and intuitive autonomous logical systems that bridge the cognitive gap between humans and machines, enabling co-evolutionary intelligence.

Vision

A future where information processing is a unified function of both organic and synthetic processors, creating a new paradigm of problem-solving and creativity.


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  1. skillware skillware Public

    A Python framework for modular, self-contained skill management for machines.

    Python 132 72

  2. aura aura Public

    The runtime coat around agent loops.

    Python 7 5

  3. mnemolink mnemolink Public

    Curated, injectable personas and artificial memories for AI agents.

    Python 4 3

  4. rooms rooms Public

    A secure, local-first Python framework for orchestrating complex multi-agent think tanks with dynamic expertise-weighted routing.

    Python 19 12

  5. OPSIE OPSIE Public

    An advanced Self-Centered Intelligence (SCI) prototype that represents a new paradigm in AI-human interaction.

    Python 28 8

  6. avatar avatar Public

    VRM companion that lipsyncs and animates to AI, local LLMs, or any audio - desktop overlay & browser.

    JavaScript 23 8

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