<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet href="/feed.rss.xml" type="text/xsl" media="screen"?>
<rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:media="http://search.yahoo.com/mrss/" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>@wolfbrother</title>
    <description/>
    <link>https://speakerdeck.com/wolfbrother</link>
    <atom:link rel="self" type="application/rss+xml" href="https://speakerdeck.com/wolfbrother.rss"/>
    <lastBuildDate>2026-07-05 11:02:19 -0400</lastBuildDate>
    <item>
      <title>MMAO: A Metabolic Multi-Agent Optimization Framework</title>
      <description>This slide deck introduces MMAO (Metabolic Multi-Agent Optimizer), a controller-first metaheuristic framework for adaptive optimization. Instead of stacking disconnected schedules and parameter-control rules, MMAO organizes search through an endogenous closed-loop resource economy built on private energy, a communal pool, and lifecycle regulation.

The deck explains why this framework was proposed, how its internal control logic works, and how the same controller perspective can be instantiated across continuous, discrete, dynamic, and classification-oriented optimization settings. It also highlights representative evidence, public software entry points, and the current MMAO paper line.

The goal of this deck is not to claim universal superiority, but to present MMAO as a reusable and interpretable optimization framework that may be worth attention from researchers working in metaheuristics, evolutionary computation, swarm intelligence, and related optimization applications.</description>
      <media:content url="https://files.speakerdeck.com/presentations/10de02f07a324d698a3b85ce4d648b35/preview_slide_0.jpg?39905781" type="image/jpeg" medium="image"/>
      <content:encoded>This slide deck introduces MMAO (Metabolic Multi-Agent Optimizer), a controller-first metaheuristic framework for adaptive optimization. Instead of stacking disconnected schedules and parameter-control rules, MMAO organizes search through an endogenous closed-loop resource economy built on private energy, a communal pool, and lifecycle regulation.

The deck explains why this framework was proposed, how its internal control logic works, and how the same controller perspective can be instantiated across continuous, discrete, dynamic, and classification-oriented optimization settings. It also highlights representative evidence, public software entry points, and the current MMAO paper line.

The goal of this deck is not to claim universal superiority, but to present MMAO as a reusable and interpretable optimization framework that may be worth attention from researchers working in metaheuristics, evolutionary computation, swarm intelligence, and related optimization applications.</content:encoded>
      <pubDate>Sun, 05 Jul 2026 00:00:00 -0400</pubDate>
      <link>https://speakerdeck.com/wolfbrother/mmao-a-metabolic-multi-agent-optimization-framework</link>
      <guid>https://speakerdeck.com/wolfbrother/mmao-a-metabolic-multi-agent-optimization-framework</guid>
    </item>
    <item>
      <title>OpenAgenet / OAN: Open Governance Infrastructure for Trusted Agent Interconnection</title>
      <description>OpenAgenet (OAN) is open infrastructure for trusted agent interconnection. It provides a governance-aware trust layer for registering, publishing, discovering, and verifying agent-facing resources such as Agent Services, Skills, MCP Servers, and Tool APIs.

This slide deck introduces the motivation, architecture, trust model, did:oan identity method, service-node roles, trusted discovery flow, and ecosystem positioning of OAN. It explains how OAN connects governance, identity, publication, distribution, and discovery into a coherent infrastructure layer for the emerging Agent Internet.

The deck is intended for researchers, infrastructure builders, protocol designers, developers, and potential ecosystem collaborators who want to understand how OAN can support trustworthy, scalable, and interoperable multi-agent</description>
      <media:content url="https://files.speakerdeck.com/presentations/fa7c2c207ed643d6a80bfc569a4ae691/preview_slide_0.jpg?39902348" type="image/jpeg" medium="image"/>
      <content:encoded>OpenAgenet (OAN) is open infrastructure for trusted agent interconnection. It provides a governance-aware trust layer for registering, publishing, discovering, and verifying agent-facing resources such as Agent Services, Skills, MCP Servers, and Tool APIs.

This slide deck introduces the motivation, architecture, trust model, did:oan identity method, service-node roles, trusted discovery flow, and ecosystem positioning of OAN. It explains how OAN connects governance, identity, publication, distribution, and discovery into a coherent infrastructure layer for the emerging Agent Internet.

The deck is intended for researchers, infrastructure builders, protocol designers, developers, and potential ecosystem collaborators who want to understand how OAN can support trustworthy, scalable, and interoperable multi-agent</content:encoded>
      <pubDate>Sun, 05 Jul 2026 00:00:00 -0400</pubDate>
      <link>https://speakerdeck.com/wolfbrother/oan-open-governance-infrastructure-for-trusted-agent-interconnection</link>
      <guid>https://speakerdeck.com/wolfbrother/oan-open-governance-infrastructure-for-trusted-agent-interconnection</guid>
    </item>
    <item>
      <title>OpenAgenet / OAN :  可信智能体互联的开放治理基础设施</title>
      <description>penAgenet（OAN）是面向可信智能体互联的开放基础设施。它为智能体服务、Skill、MCP Server、Tool/API 等资源提供一层具备治理感知能力的注册、发布、发现与校验基础设施。

本 slides 介绍了 OAN 的提出背景、总体架构、信任模型、did:oan 身份方法、节点角色分工、可信发现链路，以及 OAN 在智能体互联生态中的定位，说明 OAN 如何把治理、身份、发布、分发与发现整合为统一的基础设施层。

该材料适合研究人员、基础设施开发者、协议设计者、智能体产品团队以及潜在生态合作方阅读，用于快速理解 OAN 如何支撑可信、可扩展、可互操作的多智能体系统。</description>
      <media:content url="https://files.speakerdeck.com/presentations/02289c0ceb4449debc9f021c6f98b7b7/preview_slide_0.jpg?39902289" type="image/jpeg" medium="image"/>
      <content:encoded>penAgenet（OAN）是面向可信智能体互联的开放基础设施。它为智能体服务、Skill、MCP Server、Tool/API 等资源提供一层具备治理感知能力的注册、发布、发现与校验基础设施。

本 slides 介绍了 OAN 的提出背景、总体架构、信任模型、did:oan 身份方法、节点角色分工、可信发现链路，以及 OAN 在智能体互联生态中的定位，说明 OAN 如何把治理、身份、发布、分发与发现整合为统一的基础设施层。

该材料适合研究人员、基础设施开发者、协议设计者、智能体产品团队以及潜在生态合作方阅读，用于快速理解 OAN 如何支撑可信、可扩展、可互操作的多智能体系统。</content:encoded>
      <pubDate>Sun, 05 Jul 2026 00:00:00 -0400</pubDate>
      <link>https://speakerdeck.com/wolfbrother/oan-ke-xin-zhi-neng-ti-hu-lian-de-kai-fang-zhi-li-ji-chu-she-shi</link>
      <guid>https://speakerdeck.com/wolfbrother/oan-ke-xin-zhi-neng-ti-hu-lian-de-kai-fang-zhi-li-ji-chu-she-shi</guid>
    </item>
  </channel>
</rss>
