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    <description>The latest articles on DEV Community by Kevin Kull (@kullailabs).</description>
    <link>https://dev.to/kullailabs</link>
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      <title>Finishing MCOP Framework 2.0 — Daily Persistence and a Comeback to Verifiable Cognition</title>
      <dc:creator>Kevin Kull</dc:creator>
      <pubDate>Fri, 22 May 2026 03:39:55 +0000</pubDate>
      <link>https://dev.to/kullailabs/finishing-mcop-framework-20-daily-persistence-and-a-comeback-to-verifiable-cognition-486m</link>
      <guid>https://dev.to/kullailabs/finishing-mcop-framework-20-daily-persistence-and-a-comeback-to-verifiable-cognition-486m</guid>
      <description>&lt;p&gt;&lt;em&gt;This is a submission for the &lt;a href="https://dev.to/challenges/github-2026-05-21"&gt;GitHub Finish-Up-A-Thon Challenge&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;

&lt;h2&gt;
  
  
  What I Built
&lt;/h2&gt;

&lt;p&gt;&lt;strong&gt;MCOP Framework 2.0&lt;/strong&gt; is a deterministic, cryptographically verifiable meta-cognitive optimization protocol — a production-ready layer designed to sit on top of LLM stacks.&lt;/p&gt;

&lt;p&gt;Its foundation is a recursive triad:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;
&lt;strong&gt;NOVA-NEO Encoder&lt;/strong&gt; — SHA-256 context-to-tensor conversion for byte-identical reproducibility.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Stigmergy v5&lt;/strong&gt; — Merkle-chained pheromone memory with cosine recall and full provenance tracking.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Holographic Etch&lt;/strong&gt; — Append-only confidence ledger with eudaimonic (positive-resonance) scoring that rewards trajectories aligned with human flourishing.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;v2.4 adds the &lt;strong&gt;Proteome&lt;/strong&gt; — a 150-node sparse interaction graph for chaotic and game-theoretic abstraction discovery, with edge-of-chaos controls (&lt;code&gt;homeostasis&lt;/code&gt;, &lt;code&gt;mutationTemperature&lt;/code&gt;) and optional CUDA acceleration — plus an LS20 ARC benchmark scaffold, a Universal Adapter Protocol (native OpenAI, Anthropic, Google, Groq, Ollama, and xAI Grok), 96.6% test coverage, Docker reproducibility, and hardened CI/security.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;What it means to me:&lt;/strong&gt; MCOP is my long-term commitment to AI cognition that is auditable, negentropic, and oriented toward genuine human flourishing rather than pure capability scaling. It evolved from early conceptual kernels into a full multi-language implementation — TypeScript core, Python distribution, Next.js interfaces — ready for scrutiny and real use.&lt;/p&gt;

&lt;h2&gt;
  
  
  Demo
&lt;/h2&gt;

&lt;p&gt;&lt;strong&gt;Primary link:&lt;/strong&gt; &lt;a href="https://github.com/Kuonirad/MCOP-Framework-2.0" rel="noopener noreferrer"&gt;https://github.com/Kuonirad/MCOP-Framework-2.0&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Try it locally:&lt;/strong&gt;&lt;/p&gt;



&lt;div class="highlight js-code-highlight"&gt;
&lt;pre class="highlight plaintext"&gt;&lt;code&gt;
bash
git clone https://github.com/Kuonirad/MCOP-Framework-2.0.git
cd MCOP-Framework-2.0
pnpm install
pnpm test                 # 96.6% coverage
pnpm build &amp;amp;&amp;amp; pnpm start
&lt;/code&gt;&lt;/pre&gt;

&lt;/div&gt;

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      <category>ai</category>
      <category>verifiableai</category>
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